Pub Date : 2024-03-25DOI: 10.1080/15715124.2024.2329243
P. A. Costa Rocha, Victor Oliveira Santos, John Scott, Jesse Van Griensven Thé, Bahram Gharabaghi
{"title":"Application of graph neural networks to forecast urban flood events: the case study of the 2013 flood of the Bow River, Calgary, Canada","authors":"P. A. Costa Rocha, Victor Oliveira Santos, John Scott, Jesse Van Griensven Thé, Bahram Gharabaghi","doi":"10.1080/15715124.2024.2329243","DOIUrl":"https://doi.org/10.1080/15715124.2024.2329243","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":" 640","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140383040","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-15DOI: 10.1080/15715124.2024.2316049
C. A. Day, J. Chen
{"title":"Influence of surface mining on seasonal hydrology response to storms across eastern Kentucky, USA","authors":"C. A. Day, J. Chen","doi":"10.1080/15715124.2024.2316049","DOIUrl":"https://doi.org/10.1080/15715124.2024.2316049","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"185 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139833684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-15DOI: 10.1080/15715124.2024.2316049
C. A. Day, J. Chen
{"title":"Influence of surface mining on seasonal hydrology response to storms across eastern Kentucky, USA","authors":"C. A. Day, J. Chen","doi":"10.1080/15715124.2024.2316049","DOIUrl":"https://doi.org/10.1080/15715124.2024.2316049","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"24 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139774123","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1080/15715124.2024.2312857
B. Ginting, Prilla Lidyana, Cleon Christopher, D. Yudianto, Xie Yuebo
{"title":"Evaluating the satellite-derived DEM accuracy with rain-on-grid modeling for flood hydrograph prediction of Katulampa Watershed, Indonesia","authors":"B. Ginting, Prilla Lidyana, Cleon Christopher, D. Yudianto, Xie Yuebo","doi":"10.1080/15715124.2024.2312857","DOIUrl":"https://doi.org/10.1080/15715124.2024.2312857","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"76 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1080/15715124.2024.2304546
S. Islam, Serhan Yeşilköy, Özlem Baydaroğlu, Enes Yildirim, Ibrahim Demir
Due to the shifting climate, extreme events are being observed more frequently globally. Drought is one of the most common natural hazards that severely impacts communities in terms of economic losses and agricultural production disruption. Considering global trade, drought in an agricultural region affects the food security in other regions because of disrupted supply. Decision-makers often consult susceptibility maps when preparing mitigation plans so that the adverse impacts of a drought event can be reduced. Creating drought susceptibility maps can be demanding, requiring a lot of data (i.e., hydrological and land use), expertise, and thorough assessment to accurately picture a vulnerable region’s condition. The process also relies on complex hydrological and hydrometeorological models. The objective of this investigation is to examine the vulnerability and impact of drought and formulate maps of drought susceptibility, exposure, and risk by considering a multitude of atmospheric, physical and social indicators. Subsequent to this notion, a fuzzy logic algorithm has been devised by assigning a comprehensive array of weights to each parameter derived from an exhaustive literature review and used for a preliminary investigation for the state of Iowa. This state is located in the Corn Belt region, and its primary economic activity is agriculture. Drought susceptibility maps for the state of Iowa have been generated for the period spanning from 2015 to 2021 and validated using the Kappa coefficient. The produced drought susceptibility maps can support drought mitigation plans and decisions for communities in Iowa.
{"title":"State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas","authors":"S. Islam, Serhan Yeşilköy, Özlem Baydaroğlu, Enes Yildirim, Ibrahim Demir","doi":"10.1080/15715124.2024.2304546","DOIUrl":"https://doi.org/10.1080/15715124.2024.2304546","url":null,"abstract":"Due to the shifting climate, extreme events are being observed more frequently globally. Drought is one of the most common natural hazards that severely impacts communities in terms of economic losses and agricultural production disruption. Considering global trade, drought in an agricultural region affects the food security in other regions because of disrupted supply. Decision-makers often consult susceptibility maps when preparing mitigation plans so that the adverse impacts of a drought event can be reduced. Creating drought susceptibility maps can be demanding, requiring a lot of data (i.e., hydrological and land use), expertise, and thorough assessment to accurately picture a vulnerable region’s condition. The process also relies on complex hydrological and hydrometeorological models. The objective of this investigation is to examine the vulnerability and impact of drought and formulate maps of drought susceptibility, exposure, and risk by considering a multitude of atmospheric, physical and social indicators. Subsequent to this notion, a fuzzy logic algorithm has been devised by assigning a comprehensive array of weights to each parameter derived from an exhaustive literature review and used for a preliminary investigation for the state of Iowa. This state is located in the Corn Belt region, and its primary economic activity is agriculture. Drought susceptibility maps for the state of Iowa have been generated for the period spanning from 2015 to 2021 and validated using the Kappa coefficient. The produced drought susceptibility maps can support drought mitigation plans and decisions for communities in Iowa.","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"76 4","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1080/15715124.2024.2304546
S. Islam, Serhan Yeşilköy, Özlem Baydaroğlu, Enes Yildirim, Ibrahim Demir
Due to the shifting climate, extreme events are being observed more frequently globally. Drought is one of the most common natural hazards that severely impacts communities in terms of economic losses and agricultural production disruption. Considering global trade, drought in an agricultural region affects the food security in other regions because of disrupted supply. Decision-makers often consult susceptibility maps when preparing mitigation plans so that the adverse impacts of a drought event can be reduced. Creating drought susceptibility maps can be demanding, requiring a lot of data (i.e., hydrological and land use), expertise, and thorough assessment to accurately picture a vulnerable region’s condition. The process also relies on complex hydrological and hydrometeorological models. The objective of this investigation is to examine the vulnerability and impact of drought and formulate maps of drought susceptibility, exposure, and risk by considering a multitude of atmospheric, physical and social indicators. Subsequent to this notion, a fuzzy logic algorithm has been devised by assigning a comprehensive array of weights to each parameter derived from an exhaustive literature review and used for a preliminary investigation for the state of Iowa. This state is located in the Corn Belt region, and its primary economic activity is agriculture. Drought susceptibility maps for the state of Iowa have been generated for the period spanning from 2015 to 2021 and validated using the Kappa coefficient. The produced drought susceptibility maps can support drought mitigation plans and decisions for communities in Iowa.
{"title":"State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas","authors":"S. Islam, Serhan Yeşilköy, Özlem Baydaroğlu, Enes Yildirim, Ibrahim Demir","doi":"10.1080/15715124.2024.2304546","DOIUrl":"https://doi.org/10.1080/15715124.2024.2304546","url":null,"abstract":"Due to the shifting climate, extreme events are being observed more frequently globally. Drought is one of the most common natural hazards that severely impacts communities in terms of economic losses and agricultural production disruption. Considering global trade, drought in an agricultural region affects the food security in other regions because of disrupted supply. Decision-makers often consult susceptibility maps when preparing mitigation plans so that the adverse impacts of a drought event can be reduced. Creating drought susceptibility maps can be demanding, requiring a lot of data (i.e., hydrological and land use), expertise, and thorough assessment to accurately picture a vulnerable region’s condition. The process also relies on complex hydrological and hydrometeorological models. The objective of this investigation is to examine the vulnerability and impact of drought and formulate maps of drought susceptibility, exposure, and risk by considering a multitude of atmospheric, physical and social indicators. Subsequent to this notion, a fuzzy logic algorithm has been devised by assigning a comprehensive array of weights to each parameter derived from an exhaustive literature review and used for a preliminary investigation for the state of Iowa. This state is located in the Corn Belt region, and its primary economic activity is agriculture. Drought susceptibility maps for the state of Iowa have been generated for the period spanning from 2015 to 2021 and validated using the Kappa coefficient. The produced drought susceptibility maps can support drought mitigation plans and decisions for communities in Iowa.","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"30 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139840177","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-13DOI: 10.1080/15715124.2024.2312857
B. Ginting, Prilla Lidyana, Cleon Christopher, D. Yudianto, Xie Yuebo
{"title":"Evaluating the satellite-derived DEM accuracy with rain-on-grid modeling for flood hydrograph prediction of Katulampa Watershed, Indonesia","authors":"B. Ginting, Prilla Lidyana, Cleon Christopher, D. Yudianto, Xie Yuebo","doi":"10.1080/15715124.2024.2312857","DOIUrl":"https://doi.org/10.1080/15715124.2024.2312857","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139780482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1080/15715124.2024.2308205
Awol Ali Mohammed
{"title":"The strategic significance of Ethiopia's hydroelectric energy exports on Horn of Africa regional integration","authors":"Awol Ali Mohammed","doi":"10.1080/15715124.2024.2308205","DOIUrl":"https://doi.org/10.1080/15715124.2024.2308205","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"5 5","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139858202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-02-06DOI: 10.1080/15715124.2024.2308205
Awol Ali Mohammed
{"title":"The strategic significance of Ethiopia's hydroelectric energy exports on Horn of Africa regional integration","authors":"Awol Ali Mohammed","doi":"10.1080/15715124.2024.2308205","DOIUrl":"https://doi.org/10.1080/15715124.2024.2308205","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"42 16","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139798365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-01-30DOI: 10.1080/15715124.2024.2301935
Teagan Lubiniecki, K. Lindenschmidt, Colin P. Laroque, P. Rokaya
{"title":"Determining ice-jam stage frequency distributions of an ungauged river reach using dendrogeomorphological data","authors":"Teagan Lubiniecki, K. Lindenschmidt, Colin P. Laroque, P. Rokaya","doi":"10.1080/15715124.2024.2301935","DOIUrl":"https://doi.org/10.1080/15715124.2024.2301935","url":null,"abstract":"","PeriodicalId":506383,"journal":{"name":"International Journal of River Basin Management","volume":"63 19","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140482402","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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