Model simulation of inflow water to the Baltic Sea based on 129I
The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is cr...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Yi, P. [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2013transfer abstract |
|---|
| Schlagwörter: |
|---|
| Umfang: |
9 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system - Wang, Lu ELSEVIER, 2018, a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:82 ; year:2013 ; pages:223-231 ; extent:9 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.apradiso.2013.07.034 |
|---|
| Katalog-ID: |
ELV022098283 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | ELV022098283 | ||
| 003 | DE-627 | ||
| 005 | 20230625134814.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 180603s2013 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1016/j.apradiso.2013.07.034 |2 doi | |
| 028 | 5 | 2 | |a GBVA2013016000015.pica |
| 035 | |a (DE-627)ELV022098283 | ||
| 035 | |a (ELSEVIER)S0969-8043(13)00332-1 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 082 | 0 | |a 530 |a 610 |a 540 | |
| 082 | 0 | 4 | |a 530 |q DE-600 |
| 082 | 0 | 4 | |a 610 |q DE-600 |
| 082 | 0 | 4 | |a 540 |q DE-600 |
| 082 | 0 | 4 | |a 660 |q VZ |
| 084 | |a 38.51 |2 bkl | ||
| 084 | |a 57.36 |2 bkl | ||
| 100 | 1 | |a Yi, P. |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Model simulation of inflow water to the Baltic Sea based on 129I |
| 264 | 1 | |c 2013transfer abstract | |
| 300 | |a 9 | ||
| 336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
| 337 | |a nicht spezifiziert |b z |2 rdamedia | ||
| 338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
| 520 | |a The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). | ||
| 520 | |a The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). | ||
| 650 | 7 | |a Radioisotopes |2 Elsevier | |
| 650 | 7 | |a Flux |2 Elsevier | |
| 650 | 7 | |a Mathematical models |2 Elsevier | |
| 650 | 7 | |a Water flow |2 Elsevier | |
| 650 | 7 | |a Baltic Sea |2 Elsevier | |
| 650 | 7 | |a Iodine |2 Elsevier | |
| 700 | 1 | |a Chen, X.G. |4 oth | |
| 700 | 1 | |a Bao, D.X. |4 oth | |
| 700 | 1 | |a Qian, R.Z. |4 oth | |
| 700 | 1 | |a Aldahan, A. |4 oth | |
| 700 | 1 | |a Tian, F.Y. |4 oth | |
| 700 | 1 | |a Possnert, G. |4 oth | |
| 700 | 1 | |a Bryhn, A.C. |4 oth | |
| 700 | 1 | |a Gu, T.F. |4 oth | |
| 700 | 1 | |a Hou, X.L. |4 oth | |
| 700 | 1 | |a He, P. |4 oth | |
| 700 | 1 | |a Yu, Z.B. |4 oth | |
| 700 | 1 | |a Wang, B. |4 oth | |
| 773 | 0 | 8 | |i Enthalten in |n Elsevier Science |a Wang, Lu ELSEVIER |t Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system |d 2018 |d a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science |g Amsterdam [u.a.] |w (DE-627)ELV001919369 |
| 773 | 1 | 8 | |g volume:82 |g year:2013 |g pages:223-231 |g extent:9 |
| 856 | 4 | 0 | |u https://doi.org/10.1016/j.apradiso.2013.07.034 |3 Volltext |
| 912 | |a GBV_USEFLAG_U | ||
| 912 | |a GBV_ELV | ||
| 912 | |a SYSFLAG_U | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a SSG-OPC-GGO | ||
| 936 | b | k | |a 38.51 |j Geologie fossiler Brennstoffe |q VZ |
| 936 | b | k | |a 57.36 |j Erdölgewinnung |j Erdgasgewinnung |q VZ |
| 951 | |a AR | ||
| 952 | |d 82 |j 2013 |h 223-231 |g 9 | ||
| 953 | |2 045F |a 530 | ||
| author_variant |
p y py |
|---|---|
| matchkey_str |
yipchenxgbaodxqianrzaldahanatianfypossne:2013----:oesmltooifowtrohbli |
| hierarchy_sort_str |
2013transfer abstract |
| bklnumber |
38.51 57.36 |
| publishDate |
2013 |
| allfields |
10.1016/j.apradiso.2013.07.034 doi GBVA2013016000015.pica (DE-627)ELV022098283 (ELSEVIER)S0969-8043(13)00332-1 DE-627 ger DE-627 rakwb eng 530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl Yi, P. verfasserin aut Model simulation of inflow water to the Baltic Sea based on 129I 2013transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Elsevier Chen, X.G. oth Bao, D.X. oth Qian, R.Z. oth Aldahan, A. oth Tian, F.Y. oth Possnert, G. oth Bryhn, A.C. oth Gu, T.F. oth Hou, X.L. oth He, P. oth Yu, Z.B. oth Wang, B. oth Enthalten in Elsevier Science Wang, Lu ELSEVIER Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system 2018 a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science Amsterdam [u.a.] (DE-627)ELV001919369 volume:82 year:2013 pages:223-231 extent:9 https://doi.org/10.1016/j.apradiso.2013.07.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 38.51 Geologie fossiler Brennstoffe VZ 57.36 Erdölgewinnung Erdgasgewinnung VZ AR 82 2013 223-231 9 045F 530 |
| spelling |
10.1016/j.apradiso.2013.07.034 doi GBVA2013016000015.pica (DE-627)ELV022098283 (ELSEVIER)S0969-8043(13)00332-1 DE-627 ger DE-627 rakwb eng 530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl Yi, P. verfasserin aut Model simulation of inflow water to the Baltic Sea based on 129I 2013transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Elsevier Chen, X.G. oth Bao, D.X. oth Qian, R.Z. oth Aldahan, A. oth Tian, F.Y. oth Possnert, G. oth Bryhn, A.C. oth Gu, T.F. oth Hou, X.L. oth He, P. oth Yu, Z.B. oth Wang, B. oth Enthalten in Elsevier Science Wang, Lu ELSEVIER Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system 2018 a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science Amsterdam [u.a.] (DE-627)ELV001919369 volume:82 year:2013 pages:223-231 extent:9 https://doi.org/10.1016/j.apradiso.2013.07.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 38.51 Geologie fossiler Brennstoffe VZ 57.36 Erdölgewinnung Erdgasgewinnung VZ AR 82 2013 223-231 9 045F 530 |
| allfields_unstemmed |
10.1016/j.apradiso.2013.07.034 doi GBVA2013016000015.pica (DE-627)ELV022098283 (ELSEVIER)S0969-8043(13)00332-1 DE-627 ger DE-627 rakwb eng 530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl Yi, P. verfasserin aut Model simulation of inflow water to the Baltic Sea based on 129I 2013transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Elsevier Chen, X.G. oth Bao, D.X. oth Qian, R.Z. oth Aldahan, A. oth Tian, F.Y. oth Possnert, G. oth Bryhn, A.C. oth Gu, T.F. oth Hou, X.L. oth He, P. oth Yu, Z.B. oth Wang, B. oth Enthalten in Elsevier Science Wang, Lu ELSEVIER Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system 2018 a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science Amsterdam [u.a.] (DE-627)ELV001919369 volume:82 year:2013 pages:223-231 extent:9 https://doi.org/10.1016/j.apradiso.2013.07.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 38.51 Geologie fossiler Brennstoffe VZ 57.36 Erdölgewinnung Erdgasgewinnung VZ AR 82 2013 223-231 9 045F 530 |
| allfieldsGer |
10.1016/j.apradiso.2013.07.034 doi GBVA2013016000015.pica (DE-627)ELV022098283 (ELSEVIER)S0969-8043(13)00332-1 DE-627 ger DE-627 rakwb eng 530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl Yi, P. verfasserin aut Model simulation of inflow water to the Baltic Sea based on 129I 2013transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Elsevier Chen, X.G. oth Bao, D.X. oth Qian, R.Z. oth Aldahan, A. oth Tian, F.Y. oth Possnert, G. oth Bryhn, A.C. oth Gu, T.F. oth Hou, X.L. oth He, P. oth Yu, Z.B. oth Wang, B. oth Enthalten in Elsevier Science Wang, Lu ELSEVIER Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system 2018 a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science Amsterdam [u.a.] (DE-627)ELV001919369 volume:82 year:2013 pages:223-231 extent:9 https://doi.org/10.1016/j.apradiso.2013.07.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 38.51 Geologie fossiler Brennstoffe VZ 57.36 Erdölgewinnung Erdgasgewinnung VZ AR 82 2013 223-231 9 045F 530 |
| allfieldsSound |
10.1016/j.apradiso.2013.07.034 doi GBVA2013016000015.pica (DE-627)ELV022098283 (ELSEVIER)S0969-8043(13)00332-1 DE-627 ger DE-627 rakwb eng 530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl Yi, P. verfasserin aut Model simulation of inflow water to the Baltic Sea based on 129I 2013transfer abstract 9 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Elsevier Chen, X.G. oth Bao, D.X. oth Qian, R.Z. oth Aldahan, A. oth Tian, F.Y. oth Possnert, G. oth Bryhn, A.C. oth Gu, T.F. oth Hou, X.L. oth He, P. oth Yu, Z.B. oth Wang, B. oth Enthalten in Elsevier Science Wang, Lu ELSEVIER Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system 2018 a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science Amsterdam [u.a.] (DE-627)ELV001919369 volume:82 year:2013 pages:223-231 extent:9 https://doi.org/10.1016/j.apradiso.2013.07.034 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO 38.51 Geologie fossiler Brennstoffe VZ 57.36 Erdölgewinnung Erdgasgewinnung VZ AR 82 2013 223-231 9 045F 530 |
| language |
English |
| source |
Enthalten in Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system Amsterdam [u.a.] volume:82 year:2013 pages:223-231 extent:9 |
| sourceStr |
Enthalten in Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system Amsterdam [u.a.] volume:82 year:2013 pages:223-231 extent:9 |
| format_phy_str_mv |
Article |
| bklname |
Geologie fossiler Brennstoffe Erdölgewinnung Erdgasgewinnung |
| institution |
findex.gbv.de |
| topic_facet |
Radioisotopes Flux Mathematical models Water flow Baltic Sea Iodine |
| dewey-raw |
530 |
| isfreeaccess_bool |
false |
| container_title |
Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system |
| authorswithroles_txt_mv |
Yi, P. @@aut@@ Chen, X.G. @@oth@@ Bao, D.X. @@oth@@ Qian, R.Z. @@oth@@ Aldahan, A. @@oth@@ Tian, F.Y. @@oth@@ Possnert, G. @@oth@@ Bryhn, A.C. @@oth@@ Gu, T.F. @@oth@@ Hou, X.L. @@oth@@ He, P. @@oth@@ Yu, Z.B. @@oth@@ Wang, B. @@oth@@ |
| publishDateDaySort_date |
2013-01-01T00:00:00Z |
| hierarchy_top_id |
ELV001919369 |
| dewey-sort |
3530 |
| id |
ELV022098283 |
| 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">ELV022098283</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625134814.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apradiso.2013.07.034</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2013016000015.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV022098283</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0969-8043(13)00332-1</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="082" ind1="0" ind2=" "><subfield code="a">530</subfield><subfield code="a">610</subfield><subfield code="a">540</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.51</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">57.36</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yi, P.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Model simulation of inflow water to the Baltic Sea based on 129I</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models).</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radioisotopes</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Flux</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mathematical models</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Water flow</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Baltic Sea</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Iodine</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, X.G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bao, D.X.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qian, R.Z.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aldahan, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tian, F.Y.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Possnert, G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bryhn, A.C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, T.F.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hou, X.L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">He, P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Z.B.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, B.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Wang, Lu ELSEVIER</subfield><subfield code="t">Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system</subfield><subfield code="d">2018</subfield><subfield code="d">a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001919369</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:82</subfield><subfield code="g">year:2013</subfield><subfield code="g">pages:223-231</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apradiso.2013.07.034</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.51</subfield><subfield code="j">Geologie fossiler Brennstoffe</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">57.36</subfield><subfield code="j">Erdölgewinnung</subfield><subfield code="j">Erdgasgewinnung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">82</subfield><subfield code="j">2013</subfield><subfield code="h">223-231</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">530</subfield></datafield></record></collection>
|
| author |
Yi, P. |
| spellingShingle |
Yi, P. ddc 530 ddc 610 ddc 540 ddc 660 bkl 38.51 bkl 57.36 Elsevier Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Model simulation of inflow water to the Baltic Sea based on 129I |
| authorStr |
Yi, P. |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV001919369 |
| format |
electronic Article |
| dewey-ones |
530 - Physics 610 - Medicine & health 540 - Chemistry & allied sciences 660 - Chemical engineering |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
elsevier |
| remote_str |
true |
| illustrated |
Not Illustrated |
| topic_title |
530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl Model simulation of inflow water to the Baltic Sea based on 129I Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine Elsevier |
| topic |
ddc 530 ddc 610 ddc 540 ddc 660 bkl 38.51 bkl 57.36 Elsevier Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine |
| topic_unstemmed |
ddc 530 ddc 610 ddc 540 ddc 660 bkl 38.51 bkl 57.36 Elsevier Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine |
| topic_browse |
ddc 530 ddc 610 ddc 540 ddc 660 bkl 38.51 bkl 57.36 Elsevier Radioisotopes Elsevier Flux Elsevier Mathematical models Elsevier Water flow Elsevier Baltic Sea Elsevier Iodine |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
zu |
| author2_variant |
x c xc d b db r q rq a a aa f t ft g p gp a b ab t g tg x h xh p h ph z y zy b w bw |
| hierarchy_parent_title |
Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system |
| hierarchy_parent_id |
ELV001919369 |
| dewey-tens |
530 - Physics 610 - Medicine & health 540 - Chemistry 660 - Chemical engineering |
| hierarchy_top_title |
Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system |
| isfreeaccess_txt |
false |
| familylinks_str_mv |
(DE-627)ELV001919369 |
| title |
Model simulation of inflow water to the Baltic Sea based on 129I |
| ctrlnum |
(DE-627)ELV022098283 (ELSEVIER)S0969-8043(13)00332-1 |
| title_full |
Model simulation of inflow water to the Baltic Sea based on 129I |
| author_sort |
Yi, P. |
| journal |
Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system |
| journalStr |
Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system |
| lang_code |
eng |
| isOA_bool |
false |
| dewey-hundreds |
500 - Science 600 - Technology |
| recordtype |
marc |
| publishDateSort |
2013 |
| contenttype_str_mv |
zzz |
| container_start_page |
223 |
| author_browse |
Yi, P. |
| container_volume |
82 |
| physical |
9 |
| class |
530 610 540 530 DE-600 610 DE-600 540 DE-600 660 VZ 38.51 bkl 57.36 bkl |
| format_se |
Elektronische Aufsätze |
| author-letter |
Yi, P. |
| doi_str_mv |
10.1016/j.apradiso.2013.07.034 |
| dewey-full |
530 610 540 660 |
| title_sort |
model simulation of inflow water to the baltic sea based on 129i |
| title_auth |
Model simulation of inflow water to the Baltic Sea based on 129I |
| abstract |
The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). |
| abstractGer |
The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). |
| abstract_unstemmed |
The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models). |
| collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA SSG-OPC-GGO |
| title_short |
Model simulation of inflow water to the Baltic Sea based on 129I |
| url |
https://doi.org/10.1016/j.apradiso.2013.07.034 |
| remote_bool |
true |
| author2 |
Chen, X.G. Bao, D.X. Qian, R.Z. Aldahan, A. Tian, F.Y. Possnert, G. Bryhn, A.C. Gu, T.F. Hou, X.L. He, P. Yu, Z.B. Wang, B. |
| author2Str |
Chen, X.G. Bao, D.X. Qian, R.Z. Aldahan, A. Tian, F.Y. Possnert, G. Bryhn, A.C. Gu, T.F. Hou, X.L. He, P. Yu, Z.B. Wang, B. |
| ppnlink |
ELV001919369 |
| mediatype_str_mv |
z |
| isOA_txt |
false |
| hochschulschrift_bool |
false |
| author2_role |
oth oth oth oth oth oth oth oth oth oth oth oth |
| doi_str |
10.1016/j.apradiso.2013.07.034 |
| up_date |
2024-07-06T21:10:08.457Z |
| _version_ |
1803865511385104384 |
| 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">ELV022098283</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625134814.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2013 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.apradiso.2013.07.034</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2013016000015.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV022098283</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0969-8043(13)00332-1</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="082" ind1="0" ind2=" "><subfield code="a">530</subfield><subfield code="a">610</subfield><subfield code="a">540</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">540</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">660</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">38.51</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">57.36</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Yi, P.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Model simulation of inflow water to the Baltic Sea based on 129I</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2013transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">9</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">The semi-enclosed Baltic Sea represents a vital economic and recreational resource for more than 90 million people inhabiting its coasts. Extensive contamination of this sea by a variety of anthropogenic pollutants has raised the concern of the people in the region. Quantifying seawater inflow is crucial for estimating potential environmental risks as well as to find the best remedial strategy. We present here a model to estimate water inflow from the North Sea to the Baltic Sea by utilizing 129I as a tracer. The results predicted inflow range of 230–450km3/y with best fit value around 330km3/y from the North Sea to the Baltic Sea during 1980–1999. Despite limited time series data on 129I, the model presented here demonstrates a new management tool for the Baltic Sea to calculate inflow water compared to conventional methods (such as salinity, temperature and hydrographic models).</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Radioisotopes</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Flux</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Mathematical models</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Water flow</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Baltic Sea</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Iodine</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, X.G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bao, D.X.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Qian, R.Z.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aldahan, A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Tian, F.Y.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Possnert, G.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bryhn, A.C.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gu, T.F.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Hou, X.L.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">He, P.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Yu, Z.B.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wang, B.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Wang, Lu ELSEVIER</subfield><subfield code="t">Time-dependent shape factors for fractured reservoir simulation: Effect of stress sensitivity in matrix system</subfield><subfield code="d">2018</subfield><subfield code="d">a journal of nuclear and radiation techniques and their applications in the physical, chemical, biological, medical, earth, planetary, environmental and engineering science</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV001919369</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:82</subfield><subfield code="g">year:2013</subfield><subfield code="g">pages:223-231</subfield><subfield code="g">extent:9</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.apradiso.2013.07.034</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.51</subfield><subfield code="j">Geologie fossiler Brennstoffe</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">57.36</subfield><subfield code="j">Erdölgewinnung</subfield><subfield code="j">Erdgasgewinnung</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">82</subfield><subfield code="j">2013</subfield><subfield code="h">223-231</subfield><subfield code="g">9</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">530</subfield></datafield></record></collection>
|
| score |
7.4017487 |