Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria
Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering l...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Abdelkebir, Brahim [verfasserIn] Maoui, Ammar [verfasserIn] Mokhtari, Elhadj [verfasserIn] Engel, Bernard [verfasserIn] Chen, Jingqiu [verfasserIn] Aboelnour, Mohamed [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Anmerkung: |
© Saudi Society for Geosciences 2021 |
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| Übergeordnetes Werk: |
Enthalten in: Arabian journal of geosciences - Berlin : Springer, 2008, 14(2021), 9 vom: Mai |
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| Übergeordnetes Werk: |
volume:14 ; year:2021 ; number:9 ; month:05 |
| Links: |
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| DOI / URN: |
10.1007/s12517-021-07178-0 |
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| Katalog-ID: |
SPR043931715 |
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| 520 | |a Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. | ||
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| 700 | 1 | |a Chen, Jingqiu |e verfasserin |4 aut | |
| 700 | 1 | |a Aboelnour, Mohamed |e verfasserin |4 aut | |
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10.1007/s12517-021-07178-0 doi (DE-627)SPR043931715 (SPR)s12517-021-07178-0-e DE-627 ger DE-627 rakwb eng 550 ASE Abdelkebir, Brahim verfasserin aut Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. Guelma (dpeaa)DE-He213 PCSWMM (dpeaa)DE-He213 Urban watershed (dpeaa)DE-He213 LID (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Maoui, Ammar verfasserin aut Mokhtari, Elhadj verfasserin aut Engel, Bernard verfasserin aut Chen, Jingqiu verfasserin aut Aboelnour, Mohamed verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 9 vom: Mai (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:9 month:05 https://dx.doi.org/10.1007/s12517-021-07178-0 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_65 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_381 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_2008 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 14 2021 9 05 |
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10.1007/s12517-021-07178-0 doi (DE-627)SPR043931715 (SPR)s12517-021-07178-0-e DE-627 ger DE-627 rakwb eng 550 ASE Abdelkebir, Brahim verfasserin aut Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. Guelma (dpeaa)DE-He213 PCSWMM (dpeaa)DE-He213 Urban watershed (dpeaa)DE-He213 LID (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Maoui, Ammar verfasserin aut Mokhtari, Elhadj verfasserin aut Engel, Bernard verfasserin aut Chen, Jingqiu verfasserin aut Aboelnour, Mohamed verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 9 vom: Mai (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:9 month:05 https://dx.doi.org/10.1007/s12517-021-07178-0 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_65 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_381 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_2008 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 14 2021 9 05 |
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10.1007/s12517-021-07178-0 doi (DE-627)SPR043931715 (SPR)s12517-021-07178-0-e DE-627 ger DE-627 rakwb eng 550 ASE Abdelkebir, Brahim verfasserin aut Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. Guelma (dpeaa)DE-He213 PCSWMM (dpeaa)DE-He213 Urban watershed (dpeaa)DE-He213 LID (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Maoui, Ammar verfasserin aut Mokhtari, Elhadj verfasserin aut Engel, Bernard verfasserin aut Chen, Jingqiu verfasserin aut Aboelnour, Mohamed verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 9 vom: Mai (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:9 month:05 https://dx.doi.org/10.1007/s12517-021-07178-0 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_65 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_381 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_2008 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 14 2021 9 05 |
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10.1007/s12517-021-07178-0 doi (DE-627)SPR043931715 (SPR)s12517-021-07178-0-e DE-627 ger DE-627 rakwb eng 550 ASE Abdelkebir, Brahim verfasserin aut Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. Guelma (dpeaa)DE-He213 PCSWMM (dpeaa)DE-He213 Urban watershed (dpeaa)DE-He213 LID (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Maoui, Ammar verfasserin aut Mokhtari, Elhadj verfasserin aut Engel, Bernard verfasserin aut Chen, Jingqiu verfasserin aut Aboelnour, Mohamed verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 9 vom: Mai (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:9 month:05 https://dx.doi.org/10.1007/s12517-021-07178-0 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_65 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_381 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_2008 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 14 2021 9 05 |
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10.1007/s12517-021-07178-0 doi (DE-627)SPR043931715 (SPR)s12517-021-07178-0-e DE-627 ger DE-627 rakwb eng 550 ASE Abdelkebir, Brahim verfasserin aut Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Saudi Society for Geosciences 2021 Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. Guelma (dpeaa)DE-He213 PCSWMM (dpeaa)DE-He213 Urban watershed (dpeaa)DE-He213 LID (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 Maoui, Ammar verfasserin aut Mokhtari, Elhadj verfasserin aut Engel, Bernard verfasserin aut Chen, Jingqiu verfasserin aut Aboelnour, Mohamed verfasserin aut Enthalten in Arabian journal of geosciences Berlin : Springer, 2008 14(2021), 9 vom: Mai (DE-627)572421877 (DE-600)2438771-X 1866-7538 nnns volume:14 year:2021 number:9 month:05 https://dx.doi.org/10.1007/s12517-021-07178-0 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_65 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_381 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_2008 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 14 2021 9 05 |
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Enthalten in Arabian journal of geosciences 14(2021), 9 vom: Mai volume:14 year:2021 number:9 month:05 |
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Abdelkebir, Brahim @@aut@@ Maoui, Ammar @@aut@@ Mokhtari, Elhadj @@aut@@ Engel, Bernard @@aut@@ Chen, Jingqiu @@aut@@ Aboelnour, Mohamed @@aut@@ |
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Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. 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Abdelkebir, Brahim |
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550 ASE Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria Guelma (dpeaa)DE-He213 PCSWMM (dpeaa)DE-He213 Urban watershed (dpeaa)DE-He213 LID (dpeaa)DE-He213 Runoff (dpeaa)DE-He213 |
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evaluating low-impact development practice performance to reduce runoff volume in an urban watershed in algeria |
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Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria |
| abstract |
Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. © Saudi Society for Geosciences 2021 |
| abstractGer |
Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. © Saudi Society for Geosciences 2021 |
| abstract_unstemmed |
Abstract In recent decades, Algeria has experienced rapid and irregular demographic growth, and this irregular change has inevitably led to periodic floods threatening human life. Urbanization, an anthropogenic cause, is rapidly evolving and has been considered as a non-negligible part in altering land use and land cover (LULC), despite the fact that precipitation characteristics are related to the climate of the region and may change over time. It is therefore essential to assess the changes in runoff as a result of LULC changes. Awareness of the relationship of rainfall and runoff is necessary for urban drainage network modeling and design. The implementation of Low-Impact Development (LID) is a popular strategy to minimize stormwater runoff and pollutant loads. In developed countries, software to estimate impacts of certain LID controls has expanded in recent years; however, readily available modeling approaches are still in high demand in developing countries, such as Algeria. In this article, we seek methods that can decrease runoff peaks and volume for the Guelma watershed located in northeast Algeria by integrating the Personal Computer Storm Water Management Model (PCSWMM) and a geographic information system (GIS). PCSWMM calibration is conducted by using the sensitivity-based radio tuning calibration tool. The Nash–Sutcliffe efficiency (NSE) (0.70–0.88), coefficient of determination (R2) (0.76–0.96), and relative error (RE) (0.018–0.23) indicated good model performance in this urban watershed. The implementation of five LID practices, including permeable pavements, bioretentions, rain gardens, infiltration trenches, and rainwater harvesting systems, in scenarios explored could reduce peak runoff by 54.7% and reduce total runoff volume by 75.2%. The current research will assist decision-makers in improving and choosing the most appropriate LID designs that are effective in view of future climate changes and changes in LULC. This study can contribute to further applications of rainfall–runoff models in Algeria. © Saudi Society for Geosciences 2021 |
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| title_short |
Evaluating Low-Impact Development practice performance to reduce runoff volume in an urban watershed in Algeria |
| url |
https://dx.doi.org/10.1007/s12517-021-07178-0 |
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Maoui, Ammar Mokhtari, Elhadj Engel, Bernard Chen, Jingqiu Aboelnour, Mohamed |
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Maoui, Ammar Mokhtari, Elhadj Engel, Bernard Chen, Jingqiu Aboelnour, Mohamed |
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| doi_str |
10.1007/s12517-021-07178-0 |
| up_date |
2024-07-03T21:51:34.526Z |
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| score |
7.4028378 |