Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA

Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be c...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Alarcon, Vladimir J. [verfasserIn] Linhoss, Anna C. Kelble, Christopher R. Mickle, Paul F. Sanchez-Banda, Gonzalo F. Mardonez-Meza, Fernando E. Bishop, Joseph Ashby, Steven L.

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2022

Schlagwörter:	Coral Gables Canal Coastal inundation Sea-level rise Irma Hurricane EFDC

Anmerkung:	© The Author(s), under exclusive licence to Springer Nature B.V. 2021

Übergeordnetes Werk:	Enthalten in: Natural hazards - Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988, 111(2022), 3 vom: 12. Jan., Seite 2933-2962
Übergeordnetes Werk:	volume:111 ; year:2022 ; number:3 ; day:12 ; month:01 ; pages:2933-2962

Links:	Volltext

DOI / URN:	10.1007/s11069-021-05163-0

Katalog-ID:	SPR046618805

Internformat


LEADER	01000caa a22002652 4500
001	SPR046618805
003	DE-627
005	20230507143454.0
007	cr uuu---uuuuu
008	220330s2022 xx \|\|\|\|\|o 00\| \|\|eng c
024	7		\|a 10.1007/s11069-021-05163-0 \|2 doi
035			\|a (DE-627)SPR046618805
035			\|a (SPR)s11069-021-05163-0-e
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Alarcon, Vladimir J. \|e verfasserin \|0 (orcid)0000-0001-6629-5639 \|4 aut
245	1	0	\|a Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA
264		1	\|c 2022
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
500			\|a © The Author(s), under exclusive licence to Springer Nature B.V. 2021
520			\|a Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies.
650		4	\|a Coral Gables Canal \|7 (dpeaa)DE-He213
650		4	\|a Coastal inundation \|7 (dpeaa)DE-He213
650		4	\|a Sea-level rise \|7 (dpeaa)DE-He213
650		4	\|a Irma Hurricane \|7 (dpeaa)DE-He213
650		4	\|a EFDC \|7 (dpeaa)DE-He213
700	1		\|a Linhoss, Anna C. \|4 aut
700	1		\|a Kelble, Christopher R. \|4 aut
700	1		\|a Mickle, Paul F. \|4 aut
700	1		\|a Sanchez-Banda, Gonzalo F. \|4 aut
700	1		\|a Mardonez-Meza, Fernando E. \|4 aut
700	1		\|a Bishop, Joseph \|4 aut
700	1		\|a Ashby, Steven L. \|4 aut
773	0	8	\|i Enthalten in \|t Natural hazards \|d Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 \|g 111(2022), 3 vom: 12. Jan., Seite 2933-2962 \|w (DE-627)315621729 \|w (DE-600)2017806-2 \|x 1573-0840 \|7 nnns
773	1	8	\|g volume:111 \|g year:2022 \|g number:3 \|g day:12 \|g month:01 \|g pages:2933-2962
856	4	0	\|u https://dx.doi.org/10.1007/s11069-021-05163-0 \|z lizenzpflichtig \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_SPRINGER
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_32
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_74
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_138
912			\|a GBV_ILN_150
912			\|a GBV_ILN_151
912			\|a GBV_ILN_152
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_171
912			\|a GBV_ILN_187
912			\|a GBV_ILN_213
912			\|a GBV_ILN_224
912			\|a GBV_ILN_230
912			\|a GBV_ILN_250
912			\|a GBV_ILN_281
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_602
912			\|a GBV_ILN_636
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2004
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2007
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2025
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2031
912			\|a GBV_ILN_2034
912			\|a GBV_ILN_2037
912			\|a GBV_ILN_2038
912			\|a GBV_ILN_2039
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2048
912			\|a GBV_ILN_2049
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2055
912			\|a GBV_ILN_2056
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2059
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2064
912			\|a GBV_ILN_2065
912			\|a GBV_ILN_2068
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2093
912			\|a GBV_ILN_2106
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2108
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2111
912			\|a GBV_ILN_2112
912			\|a GBV_ILN_2113
912			\|a GBV_ILN_2118
912			\|a GBV_ILN_2122
912			\|a GBV_ILN_2129
912			\|a GBV_ILN_2143
912			\|a GBV_ILN_2144
912			\|a GBV_ILN_2147
912			\|a GBV_ILN_2148
912			\|a GBV_ILN_2152
912			\|a GBV_ILN_2153
912			\|a GBV_ILN_2188
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2232
912			\|a GBV_ILN_2336
912			\|a GBV_ILN_2446
912			\|a GBV_ILN_2470
912			\|a GBV_ILN_2472
912			\|a GBV_ILN_2507
912			\|a GBV_ILN_2522
912			\|a GBV_ILN_2548
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4126
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4246
912			\|a GBV_ILN_4249
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4313
912			\|a GBV_ILN_4322
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4324
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4326
912			\|a GBV_ILN_4328
912			\|a GBV_ILN_4333
912			\|a GBV_ILN_4334
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4336
912			\|a GBV_ILN_4338
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 111 \|j 2022 \|e 3 \|b 12 \|c 01 \|h 2933-2962

Indexfelder

author_variant	v j a vj vja a c l ac acl c r k cr crk p f m pf pfm g f s b gfs gfsb f e m m fem femm j b jb s l a sl sla
matchkey_str	article:15730840:2022----::osaiudtoudrocretenneteeelvlien
hierarchy_sort_str	2022
publishDate	2022
allfields	10.1007/s11069-021-05163-0 doi (DE-627)SPR046618805 (SPR)s11069-021-05163-0-e DE-627 ger DE-627 rakwb eng Alarcon, Vladimir J. verfasserin (orcid)0000-0001-6629-5639 aut Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2021 Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. Coral Gables Canal (dpeaa)DE-He213 Coastal inundation (dpeaa)DE-He213 Sea-level rise (dpeaa)DE-He213 Irma Hurricane (dpeaa)DE-He213 EFDC (dpeaa)DE-He213 Linhoss, Anna C. aut Kelble, Christopher R. aut Mickle, Paul F. aut Sanchez-Banda, Gonzalo F. aut Mardonez-Meza, Fernando E. aut Bishop, Joseph aut Ashby, Steven L. aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 111(2022), 3 vom: 12. Jan., Seite 2933-2962 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962 https://dx.doi.org/10.1007/s11069-021-05163-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2022 3 12 01 2933-2962
spelling	10.1007/s11069-021-05163-0 doi (DE-627)SPR046618805 (SPR)s11069-021-05163-0-e DE-627 ger DE-627 rakwb eng Alarcon, Vladimir J. verfasserin (orcid)0000-0001-6629-5639 aut Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2021 Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. Coral Gables Canal (dpeaa)DE-He213 Coastal inundation (dpeaa)DE-He213 Sea-level rise (dpeaa)DE-He213 Irma Hurricane (dpeaa)DE-He213 EFDC (dpeaa)DE-He213 Linhoss, Anna C. aut Kelble, Christopher R. aut Mickle, Paul F. aut Sanchez-Banda, Gonzalo F. aut Mardonez-Meza, Fernando E. aut Bishop, Joseph aut Ashby, Steven L. aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 111(2022), 3 vom: 12. Jan., Seite 2933-2962 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962 https://dx.doi.org/10.1007/s11069-021-05163-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2022 3 12 01 2933-2962
allfields_unstemmed	10.1007/s11069-021-05163-0 doi (DE-627)SPR046618805 (SPR)s11069-021-05163-0-e DE-627 ger DE-627 rakwb eng Alarcon, Vladimir J. verfasserin (orcid)0000-0001-6629-5639 aut Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2021 Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. Coral Gables Canal (dpeaa)DE-He213 Coastal inundation (dpeaa)DE-He213 Sea-level rise (dpeaa)DE-He213 Irma Hurricane (dpeaa)DE-He213 EFDC (dpeaa)DE-He213 Linhoss, Anna C. aut Kelble, Christopher R. aut Mickle, Paul F. aut Sanchez-Banda, Gonzalo F. aut Mardonez-Meza, Fernando E. aut Bishop, Joseph aut Ashby, Steven L. aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 111(2022), 3 vom: 12. Jan., Seite 2933-2962 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962 https://dx.doi.org/10.1007/s11069-021-05163-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2022 3 12 01 2933-2962
allfieldsGer	10.1007/s11069-021-05163-0 doi (DE-627)SPR046618805 (SPR)s11069-021-05163-0-e DE-627 ger DE-627 rakwb eng Alarcon, Vladimir J. verfasserin (orcid)0000-0001-6629-5639 aut Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2021 Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. Coral Gables Canal (dpeaa)DE-He213 Coastal inundation (dpeaa)DE-He213 Sea-level rise (dpeaa)DE-He213 Irma Hurricane (dpeaa)DE-He213 EFDC (dpeaa)DE-He213 Linhoss, Anna C. aut Kelble, Christopher R. aut Mickle, Paul F. aut Sanchez-Banda, Gonzalo F. aut Mardonez-Meza, Fernando E. aut Bishop, Joseph aut Ashby, Steven L. aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 111(2022), 3 vom: 12. Jan., Seite 2933-2962 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962 https://dx.doi.org/10.1007/s11069-021-05163-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2022 3 12 01 2933-2962
allfieldsSound	10.1007/s11069-021-05163-0 doi (DE-627)SPR046618805 (SPR)s11069-021-05163-0-e DE-627 ger DE-627 rakwb eng Alarcon, Vladimir J. verfasserin (orcid)0000-0001-6629-5639 aut Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA 2022 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature B.V. 2021 Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. Coral Gables Canal (dpeaa)DE-He213 Coastal inundation (dpeaa)DE-He213 Sea-level rise (dpeaa)DE-He213 Irma Hurricane (dpeaa)DE-He213 EFDC (dpeaa)DE-He213 Linhoss, Anna C. aut Kelble, Christopher R. aut Mickle, Paul F. aut Sanchez-Banda, Gonzalo F. aut Mardonez-Meza, Fernando E. aut Bishop, Joseph aut Ashby, Steven L. aut Enthalten in Natural hazards Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988 111(2022), 3 vom: 12. Jan., Seite 2933-2962 (DE-627)315621729 (DE-600)2017806-2 1573-0840 nnns volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962 https://dx.doi.org/10.1007/s11069-021-05163-0 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 111 2022 3 12 01 2933-2962
language	English
source	Enthalten in Natural hazards 111(2022), 3 vom: 12. Jan., Seite 2933-2962 volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962
sourceStr	Enthalten in Natural hazards 111(2022), 3 vom: 12. Jan., Seite 2933-2962 volume:111 year:2022 number:3 day:12 month:01 pages:2933-2962
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Coral Gables Canal Coastal inundation Sea-level rise Irma Hurricane EFDC
isfreeaccess_bool	false
container_title	Natural hazards
authorswithroles_txt_mv	Alarcon, Vladimir J. @@aut@@ Linhoss, Anna C. @@aut@@ Kelble, Christopher R. @@aut@@ Mickle, Paul F. @@aut@@ Sanchez-Banda, Gonzalo F. @@aut@@ Mardonez-Meza, Fernando E. @@aut@@ Bishop, Joseph @@aut@@ Ashby, Steven L. @@aut@@
publishDateDaySort_date	2022-01-12T00:00:00Z
hierarchy_top_id	315621729
id	SPR046618805
language_de	englisch
fullrecord	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR046618805</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507143454.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220330s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11069-021-05163-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR046618805</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11069-021-05163-0-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alarcon, Vladimir J.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-6629-5639</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Nature B.V. 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coral Gables Canal</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coastal inundation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sea-level rise</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Irma Hurricane</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">EFDC</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Linhoss, Anna C.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kelble, Christopher R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mickle, Paul F.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sanchez-Banda, Gonzalo F.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mardonez-Meza, Fernando E.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bishop, Joseph</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ashby, Steven L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Natural hazards</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988</subfield><subfield code="g">111(2022), 3 vom: 12. Jan., Seite 2933-2962</subfield><subfield code="w">(DE-627)315621729</subfield><subfield code="w">(DE-600)2017806-2</subfield><subfield code="x">1573-0840</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:111</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:3</subfield><subfield code="g">day:12</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:2933-2962</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11069-021-05163-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">111</subfield><subfield code="j">2022</subfield><subfield code="e">3</subfield><subfield code="b">12</subfield><subfield code="c">01</subfield><subfield code="h">2933-2962</subfield></datafield></record></collection>
author	Alarcon, Vladimir J.
spellingShingle	Alarcon, Vladimir J. misc Coral Gables Canal misc Coastal inundation misc Sea-level rise misc Irma Hurricane misc EFDC Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA
authorStr	Alarcon, Vladimir J.
ppnlink_with_tag_str_mv	@@773@@(DE-627)315621729
format	electronic Article
delete_txt_mv	keep
author_role	aut aut aut aut aut aut aut aut
collection	springer
remote_str	true
illustrated	Not Illustrated
issn	1573-0840
topic_title	Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA Coral Gables Canal (dpeaa)DE-He213 Coastal inundation (dpeaa)DE-He213 Sea-level rise (dpeaa)DE-He213 Irma Hurricane (dpeaa)DE-He213 EFDC (dpeaa)DE-He213
topic	misc Coral Gables Canal misc Coastal inundation misc Sea-level rise misc Irma Hurricane misc EFDC
topic_unstemmed	misc Coral Gables Canal misc Coastal inundation misc Sea-level rise misc Irma Hurricane misc EFDC
topic_browse	misc Coral Gables Canal misc Coastal inundation misc Sea-level rise misc Irma Hurricane misc EFDC
format_facet	Elektronische Aufsätze Aufsätze Elektronische Ressource
format_main_str_mv	Text Zeitschrift/Artikel
carriertype_str_mv	cr
hierarchy_parent_title	Natural hazards
hierarchy_parent_id	315621729
hierarchy_top_title	Natural hazards
isfreeaccess_txt	false
familylinks_str_mv	(DE-627)315621729 (DE-600)2017806-2
title	Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA
ctrlnum	(DE-627)SPR046618805 (SPR)s11069-021-05163-0-e
title_full	Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA
author_sort	Alarcon, Vladimir J.
journal	Natural hazards
journalStr	Natural hazards
lang_code	eng
isOA_bool	false
recordtype	marc
publishDateSort	2022
contenttype_str_mv	txt
container_start_page	2933
author_browse	Alarcon, Vladimir J. Linhoss, Anna C. Kelble, Christopher R. Mickle, Paul F. Sanchez-Banda, Gonzalo F. Mardonez-Meza, Fernando E. Bishop, Joseph Ashby, Steven L.
container_volume	111
format_se	Elektronische Aufsätze
author-letter	Alarcon, Vladimir J.
doi_str_mv	10.1007/s11069-021-05163-0
normlink	(ORCID)0000-0001-6629-5639
normlink_prefix_str_mv	(orcid)0000-0001-6629-5639
title_sort	coastal inundation under concurrent mean and extreme sea-level rise in coral gables, florida, usa
title_auth	Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA
abstract	Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. © The Author(s), under exclusive licence to Springer Nature B.V. 2021
abstractGer	Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. © The Author(s), under exclusive licence to Springer Nature B.V. 2021
abstract_unstemmed	Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies. © The Author(s), under exclusive licence to Springer Nature B.V. 2021
collection_details	GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700
container_issue	3
title_short	Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA
url	https://dx.doi.org/10.1007/s11069-021-05163-0
remote_bool	true
author2	Linhoss, Anna C. Kelble, Christopher R. Mickle, Paul F. Sanchez-Banda, Gonzalo F. Mardonez-Meza, Fernando E. Bishop, Joseph Ashby, Steven L.
author2Str	Linhoss, Anna C. Kelble, Christopher R. Mickle, Paul F. Sanchez-Banda, Gonzalo F. Mardonez-Meza, Fernando E. Bishop, Joseph Ashby, Steven L.
ppnlink	315621729
mediatype_str_mv	c
isOA_txt	false
hochschulschrift_bool	false
doi_str	10.1007/s11069-021-05163-0
up_date	2024-07-03T23:34:22.473Z
_version_	1803602794878337025
fullrecord_marcxml	<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR046618805</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230507143454.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">220330s2022 xx \|\|\|\|\|o 00\| \|\|eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1007/s11069-021-05163-0</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR046618805</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)s11069-021-05163-0-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Alarcon, Vladimir J.</subfield><subfield code="e">verfasserin</subfield><subfield code="0">(orcid)0000-0001-6629-5639</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2022</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© The Author(s), under exclusive licence to Springer Nature B.V. 2021</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Abstract Southeast Florida (SF) is among the most vulnerable regions to sea-level rise in the United States of America. The consequences associated with sea-level rise (SLR) are already apparent, including coastal inundation and erosion. The Coral Gables Canal watershed is located in SF and can be considered representative of the effects of combined mean and extreme SLR. In this research, the effect of concurrent mean and extreme sea-level rise on coastal inundation in the Coral Gables Canal watershed is explored. A three-dimensional hydrodynamic model for Biscayne Bay and the Coral Gables Canal is presented. The model is used to estimate water surface elevations throughout the model domain, and map inundation due to an extreme water-level event (Irma Hurricane) occurring alongside mean SLR scenarios. A comparison of the inundation coverage calculated in this research to estimations made by several online tools shows that the online simulators underestimate flooding areas by 72% to 85%. This is a consequence of underpredicting maximum water surface elevations occurring under combined SLR in the Coral Gables Canal. The model predicts that under the NOAA Intermediate High SLR scenario (year 2100), 40% of the CGC watershed will be inundated (water depths > 0.6 m), and 70% of the area will be flooded with water depths greater than 1.6 m in year 2120. Under the NOAA High SLR scenario at least 70% of the Coral Gables Canal watershed would be inundated in 2100 (water depths > 1.0 m). In year 2120, 90% of inland sub-basins will be flooded (0.6 m < depths < 2.2 m). These results are significant for planning flooding/inundation risk management strategies.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coral Gables Canal</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Coastal inundation</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Sea-level rise</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Irma Hurricane</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">EFDC</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Linhoss, Anna C.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kelble, Christopher R.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mickle, Paul F.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Sanchez-Banda, Gonzalo F.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mardonez-Meza, Fernando E.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bishop, Joseph</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ashby, Steven L.</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Natural hazards</subfield><subfield code="d">Dordrecht [u.a.] : Springer Science + Business Media B.V., 1988</subfield><subfield code="g">111(2022), 3 vom: 12. Jan., Seite 2933-2962</subfield><subfield code="w">(DE-627)315621729</subfield><subfield code="w">(DE-600)2017806-2</subfield><subfield code="x">1573-0840</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:111</subfield><subfield code="g">year:2022</subfield><subfield code="g">number:3</subfield><subfield code="g">day:12</subfield><subfield code="g">month:01</subfield><subfield code="g">pages:2933-2962</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1007/s11069-021-05163-0</subfield><subfield code="z">lizenzpflichtig</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_32</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_100</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_105</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_120</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_138</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_150</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_171</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_187</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_224</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_250</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_281</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_370</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_636</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_702</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2001</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2004</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2006</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2007</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2010</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2015</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2020</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2021</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2025</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2026</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2027</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2031</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2038</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2039</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2044</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2048</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2049</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2056</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2057</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2059</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2061</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2064</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2065</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2068</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2088</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2093</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2106</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2107</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2113</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2118</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2122</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2129</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2143</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2144</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2147</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2148</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2152</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2153</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2188</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2190</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2232</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2446</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2470</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2472</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2507</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2522</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2548</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4035</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4046</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4242</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4246</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4251</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4307</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4313</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4326</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4328</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4333</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4334</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4335</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4336</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4338</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4393</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">111</subfield><subfield code="j">2022</subfield><subfield code="e">3</subfield><subfield code="b">12</subfield><subfield code="c">01</subfield><subfield code="h">2933-2962</subfield></datafield></record></collection>
score	7.3987007

Nicht das Richtige dabei?

Schreiben Sie uns!

Coastal inundation under concurrent mean and extreme sea-level rise in Coral Gables, Florida, USA

Nicht das Richtige dabei?

Zugang & Verfügbarkeit

Vorhandene Bände

Nicht das Richtige dabei?