This study investigates the dynamics of daily Urmia Lake level (ULL) changes using spectral analysis tools to discover fluctuating patterns in the ULL series. Therefore, in the present research, the empirical mode decomposition (EMD), variational mode decomposition (VMD), empirical wavelet transform (EWT), and empirical Fourier decomposition (EFD) were used to analyze the ULL signal. ULL series were decomposed into subseries, and the optimized outcome was used. All methods concluded that the ULL seri
{"title":"Daily lake-level time series spectral analysis using EMD, VMD, EWT, and EFD","authors":"Farhad Alizadeh, Kiyoumars Roushangar","doi":"10.2166/wcc.2024.637","DOIUrl":"https://doi.org/10.2166/wcc.2024.637","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.637/2/m_jwc-d-23-00637gf01.png?Expires=1722683640&Signature=cBgAkLoh725aa5EoW6wrXfzgkHp7xdaslRrGACeOe9cFRZWlvrTSpHZeNJdDUGr0bppUnOQVdzefoV12112rF37Wb92~CdWRAvYwppv23erG5m0s3hp6SV~JUN604csFZ1eAQ5e4n64KB4gvOX1g5lA3gYKTahdK4rmYRlz9YJpDDAziFI037g1qhiMOqTVncOzxRGP7lsyjK2yL5huYtiZvgcAahNzsr1rKMBkoVMKjrlDxolzs--4ceWtbbdz535ie1nibZkVKbQwBtVnQnXSFzqG3YPz62kaLYEA0eo6QufE4Z9oOjD45avXmNs9VO3d8UBsbuaeqb8EMSwtmkw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00637gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.637/2/m_jwc-d-23-00637gf01.png?Expires=1722683640&Signature=cBgAkLoh725aa5EoW6wrXfzgkHp7xdaslRrGACeOe9cFRZWlvrTSpHZeNJdDUGr0bppUnOQVdzefoV12112rF37Wb92~CdWRAvYwppv23erG5m0s3hp6SV~JUN604csFZ1eAQ5e4n64KB4gvOX1g5lA3gYKTahdK4rmYRlz9YJpDDAziFI037g1qhiMOqTVncOzxRGP7lsyjK2yL5huYtiZvgcAahNzsr1rKMBkoVMKjrlDxolzs--4ceWtbbdz535ie1nibZkVKbQwBtVnQnXSFzqG3YPz62kaLYEA0eo6QufE4Z9oOjD45avXmNs9VO3d8UBsbuaeqb8EMSwtmkw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.637/2/m_jwc-d-23-00637gf01.png?Expires=1722683640&Signature=cBgAkLoh725aa5EoW6wrXfzgkHp7xdaslRrGACeOe9cFRZWlvrTSpHZeNJdDUGr0bppUnOQVdzefoV12112rF37Wb92~CdWRAvYwppv23erG5m0s3hp6SV~JUN604csFZ1eAQ5e4n64KB4gvOX1g5lA3gYKTahdK4rmYRlz9YJpDDAziFI037g1qhiMOqTVncOzxRGP7lsyjK2yL5huYtiZvgcAahNzsr1rKMBkoVMKjrlDxolzs--4ceWtbbdz535ie1nibZkVKbQwBtVnQnXSFzqG3YPz62kaLYEA0eo6QufE4Z9oOjD45avXmNs9VO3d8UBsbuaeqb8EMSwtmkw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00637gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.637/2/m_jwc-d-23-00637gf01.png?Expires=1722683640&Signature=cBgAkLoh725aa5EoW6wrXfzgkHp7xdaslRrGACeOe9cFRZWlvrTSpHZeNJdDUGr0bppUnOQVdzefoV12112rF37Wb92~CdWRAvYwppv23erG5m0s3hp6SV~JUN604csFZ1eAQ5e4n64KB4gvOX1g5lA3gYKTahdK4rmYRlz9YJpDDAziFI037g1qhiMOqTVncOzxRGP7lsyjK2yL5huYtiZvgcAahNzsr1rKMBkoVMKjrlDxolzs--4ceWtbbdz535ie1nibZkVKbQwBtVnQnXSFzqG3YPz62kaLYEA0eo6QufE4Z9oOjD45avXmNs9VO3d8UBsbuaeqb8EMSwtmkw__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>This study investigates the dynamics of daily Urmia Lake level (ULL) changes using spectral analysis tools to discover fluctuating patterns in the ULL series. Therefore, in the present research, the empirical mode decomposition (EMD), variational mode decomposition (VMD), empirical wavelet transform (EWT), and empirical Fourier decomposition (EFD) were used to analyze the ULL signal. ULL series were decomposed into subseries, and the optimized outcome was used. All methods concluded that the ULL seri","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141506202","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}
A climate change assessment for streamflow availability of the selected rivers in Turkey is presented. Using an Index Basin Mapping (IBM) approach, climate change information is transferred across hydrologically similar rivers. This approach maps rivers of interest without downscaled climate information to index rivers where climate projections are available. Then, monthly perturbation ratios of index rivers, conveying projected climatic changes, are applied to the mapped rivers. Climate change effec
{"title":"Interbasin river mapping between Californian and Turkish rivers for climate change assessment","authors":"Mustafa Sahin Dogan","doi":"10.2166/wcc.2024.495","DOIUrl":"https://doi.org/10.2166/wcc.2024.495","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.495/2/m_jwc-d-23-00495gf01.png?Expires=1722683473&Signature=D7GUTgzF1h7heXa63IJVR5juTuJS0LpBG-fmmriwz7KtcPDXnUO98Jins1n9dZSJ91rCb0oyUrbR9Fc2r5yZXdqW-OTKtJz1uv3JYINPE02h24t96lfStZGModmOKMluAgg3cmaPHSH8sv~6KqUmuQEToItX0xe8jvr8MmiOs11NxPKt0X3X0I3bOXhZL6bHY72JtIoHtHCKa9RemdMyVpxY0K5ym~3~jGFiRTOZHSaQYgiU191SNSDnN8c0NvQ9rE9pJht8UwLoO8LLoech4E~4sqHShKcWBR3QcLwmd54D3JRJSOMT1unmMCnMoMGSBbLn7lDoWyUsg5DIUnhCtA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00495gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.495/2/m_jwc-d-23-00495gf01.png?Expires=1722683473&Signature=D7GUTgzF1h7heXa63IJVR5juTuJS0LpBG-fmmriwz7KtcPDXnUO98Jins1n9dZSJ91rCb0oyUrbR9Fc2r5yZXdqW-OTKtJz1uv3JYINPE02h24t96lfStZGModmOKMluAgg3cmaPHSH8sv~6KqUmuQEToItX0xe8jvr8MmiOs11NxPKt0X3X0I3bOXhZL6bHY72JtIoHtHCKa9RemdMyVpxY0K5ym~3~jGFiRTOZHSaQYgiU191SNSDnN8c0NvQ9rE9pJht8UwLoO8LLoech4E~4sqHShKcWBR3QcLwmd54D3JRJSOMT1unmMCnMoMGSBbLn7lDoWyUsg5DIUnhCtA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.495/2/m_jwc-d-23-00495gf01.png?Expires=1722683473&Signature=D7GUTgzF1h7heXa63IJVR5juTuJS0LpBG-fmmriwz7KtcPDXnUO98Jins1n9dZSJ91rCb0oyUrbR9Fc2r5yZXdqW-OTKtJz1uv3JYINPE02h24t96lfStZGModmOKMluAgg3cmaPHSH8sv~6KqUmuQEToItX0xe8jvr8MmiOs11NxPKt0X3X0I3bOXhZL6bHY72JtIoHtHCKa9RemdMyVpxY0K5ym~3~jGFiRTOZHSaQYgiU191SNSDnN8c0NvQ9rE9pJht8UwLoO8LLoech4E~4sqHShKcWBR3QcLwmd54D3JRJSOMT1unmMCnMoMGSBbLn7lDoWyUsg5DIUnhCtA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00495gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.495/2/m_jwc-d-23-00495gf01.png?Expires=1722683473&Signature=D7GUTgzF1h7heXa63IJVR5juTuJS0LpBG-fmmriwz7KtcPDXnUO98Jins1n9dZSJ91rCb0oyUrbR9Fc2r5yZXdqW-OTKtJz1uv3JYINPE02h24t96lfStZGModmOKMluAgg3cmaPHSH8sv~6KqUmuQEToItX0xe8jvr8MmiOs11NxPKt0X3X0I3bOXhZL6bHY72JtIoHtHCKa9RemdMyVpxY0K5ym~3~jGFiRTOZHSaQYgiU191SNSDnN8c0NvQ9rE9pJht8UwLoO8LLoech4E~4sqHShKcWBR3QcLwmd54D3JRJSOMT1unmMCnMoMGSBbLn7lDoWyUsg5DIUnhCtA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>A climate change assessment for streamflow availability of the selected rivers in Turkey is presented. Using an Index Basin Mapping (IBM) approach, climate change information is transferred across hydrologically similar rivers. This approach maps rivers of interest without downscaled climate information to index rivers where climate projections are available. Then, monthly perturbation ratios of index rivers, conveying projected climatic changes, are applied to the mapped rivers. Climate change effec","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141506167","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}
Recognizing the differential impacts of climate change across geographical scales, this study emphasizes the importance of statistical downscaling. Using Gene Expression Programming (GEP) and Linear Genetic Programming (LGP), statistical downscaling transforms broad climate trends into region-specific insights. This allowed for detailed analyses of anticipated changes in sediment yield and discharge within a Euphrates River sub-basin in Türkiye using large-scale variables from the CanESM2 model. The dataset is divided into calibration (1970–1995) and validation (1996–2005) periods. To assess the models’ accuracy, statistical measures such as RMSE, MAE, NSE, and R were used. The analysis revealed that LGP outperformed GEP in both discharge and sediment yield during validation, with RMSE = 51.79 m3/s and 4,325.66 tons/day, MAE = 27.14 m3/s and 1,593.34 tons/day, NSE = 0.684 and 0.627, and R = 0.841 and 0.788, respectively. However, when simulating future periods based on the observed period (2006–2020), the GEP model was superior to LGP under RCP2.6, RCP4.5, and RCP 8.5 scenarios from CanESM2. In 2021–2100, models suggest a moderate decrease in discharge and sediment yield, indicating potential shifts in the basin's hydrodynamics. These changes could disrupt hydropower generation, challenge water management practices, and alter riverine ecosystems. The results necessitate a thorough assessment of potential ecological consequences.
{"title":"Modeling and future projection of streamflow and sediment yield in a sub-basin of Euphrates River under the effect of climate change","authors":"Aytaç Güven, Muhammed Vedat Gün, Abdulhadi Pala","doi":"10.2166/wcc.2024.612","DOIUrl":"https://doi.org/10.2166/wcc.2024.612","url":null,"abstract":"<p>Recognizing the differential impacts of climate change across geographical scales, this study emphasizes the importance of statistical downscaling. Using Gene Expression Programming (GEP) and Linear Genetic Programming (LGP), statistical downscaling transforms broad climate trends into region-specific insights. This allowed for detailed analyses of anticipated changes in sediment yield and discharge within a Euphrates River sub-basin in Türkiye using large-scale variables from the CanESM2 model. The dataset is divided into calibration (1970–1995) and validation (1996–2005) periods. To assess the models’ accuracy, statistical measures such as RMSE, MAE, NSE, and R were used. The analysis revealed that LGP outperformed GEP in both discharge and sediment yield during validation, with RMSE = 51.79 m<sup>3</sup>/s and 4,325.66 tons/day, MAE = 27.14 m<sup>3</sup>/s and 1,593.34 tons/day, NSE = 0.684 and 0.627, and <em>R</em> = 0.841 and 0.788, respectively. However, when simulating future periods based on the observed period (2006–2020), the GEP model was superior to LGP under RCP2.6, RCP4.5, and RCP 8.5 scenarios from CanESM2. In 2021–2100, models suggest a moderate decrease in discharge and sediment yield, indicating potential shifts in the basin's hydrodynamics. These changes could disrupt hydropower generation, challenge water management practices, and alter riverine ecosystems. The results necessitate a thorough assessment of potential ecological consequences.</p>","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141506166","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}
Global warming has increased the risk of meteorological drought and associated hazards. Based on daily data from 35 meteorological stations in the Songhua River Basin (SRB) collected from 1960 to 2019, this study applied the standardised precipitation evapotranspiration index (SPEI) and used the ensemble empirical mode decomposition (EEMD) method and Pettitt's mutation test to perform a partitioned segmentation analysis of the multi-temporal and spatial variations in the meteorological droughts affec
View largeDownload slideView largeDownload slide Close modal全球变暖增加了气象干旱及相关灾害的风险。本研究基于1960-2019年采集的松花江流域（SRB）35个气象站日数据，应用标准化降水蒸散指数（SPEI），采用集合经验模式分解（EEMD）方法和Pettitt突变检验，对影响流域的气象干旱在频次和强度上的多时空变化进行了分区分段分析，并探讨了大气环流指数与气象干旱的关系。结果表明，从1960年到2019年，气象干旱总体趋势由旱转湿。流域干旱期分别为3年、6.7年、15年和30年，突变点分别为1968年、1980年、1997年和2012年。全流域Ⅰ区和Ⅳ区的干旱趋势增强，而Ⅱ区、Ⅲ区和Ⅴ区的干旱趋势减弱。该流域的干旱受北极涛动（AO）和南方涛动指数（SOI）的强烈影响。
{"title":"Spatial-temporal characteristics of meteorological drought and its relationship with circulation indices over Songhua River Basin, China","authors":"Jiale Xu, Xiumei Li, Jianwen Xue, Xiangzhou Dou, Wenqing Wu, Gaopeng Wu, Qiang Zhao","doi":"10.2166/wcc.2024.016","DOIUrl":"https://doi.org/10.2166/wcc.2024.016","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00016gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00016gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/6/10.2166_wcc.2024.016/2/m_jwc-d-24-00016gf01.png?Expires=1722687926&Signature=YrP-X5qinuJT0PF53xReYQ18o86nlXoXScaPsygup7KRi13cDHnf-dCkFLnE8ClomstNIGlzL3UOh9eJOonU9DFkkYESmTB3yD~wP7yrI0pQOJOfCie-1p515dNtWiWfIH8A0jG-eW6OK95uXd5ycf3fO-yAvmp78vHjYAsCGcb3x-AaY6~gXwQ-kkSapwh1pE4ZYAmHnTHIjU3hcVKgjZL1szi4l4kisjwgQx5jQyt72yVxlE2M0RtB3ndwANX4s4moAEV2Pa5ybiudsJD~p09hc7NeEIpLLB9sKjmUcbGeBYqqXp4yvnryYtiH0abZx36Sxxm7g8jmYK7hsslqiQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Global warming has increased the risk of meteorological drought and associated hazards. Based on daily data from 35 meteorological stations in the Songhua River Basin (SRB) collected from 1960 to 2019, this study applied the standardised precipitation evapotranspiration index (SPEI) and used the ensemble empirical mode decomposition (EEMD) method and Pettitt's mutation test to perform a partitioned segmentation analysis of the multi-temporal and spatial variations in the meteorological droughts affec","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141506165","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}
In climate change research, it is vital to have knowledge about future changes in the trends of climatological time series. The purpose of this study is to look at the effect of seasonality on the trend and long-term persistence of precipitation and temperature time series in the Konya Endorheic Basin, a semi-arid basin in central Anatolia, Turkey. Seasonal-trend decomposition by locally estimated scatterplot smoothing was used to obtain a seasonality adjusted time series, and a comparative analysis
{"title":"Seasonality effect on trend and long-term persistence in precipitation and temperature time series of a semi-arid, endorheic basin in Central Anatolia, Turkey","authors":"Cihangir Koycegiz","doi":"10.2166/wcc.2024.019","DOIUrl":"https://doi.org/10.2166/wcc.2024.019","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00019gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00019gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.019/2/m_jwc-d-24-00019gf01.png?Expires=1720092526&Signature=AdpfTl7L8Otwsdg9-B3jBZIZieO3NrtmIpoG5ox-cMzbCkyWR-JF2mKZQSe2zlKTdHq-R89A-5Hx6lbQdC17dLk6lNravgzNYpnff-ms97XbifNa-KEiI7CjIJ3rOv-rDyg-KaLnpCM0mP4Ppr8OEg6RlJSlHsGy95TtrL-hSFDit-i13DJ~pYPEkWknb0FCP~iOMnSYMVWLu6-5Xv~F8rz1FGm~mHOHQhMOUZ~QDcNwlZGEp~wgcz74UFpmN0eb1h~XYXXX7dbxFtKa7bDfAcLiXMnfqOAR0FzqG6pdnbd8~ecSY9gV43ceYI-CwV0d3jV5ny6ZaAe2xs6mg1V9BA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>In climate change research, it is vital to have knowledge about future changes in the trends of climatological time series. The purpose of this study is to look at the effect of seasonality on the trend and long-term persistence of precipitation and temperature time series in the Konya Endorheic Basin, a semi-arid basin in central Anatolia, Turkey. Seasonal-trend decomposition by locally estimated scatterplot smoothing was used to obtain a seasonality adjusted time series, and a comparative analysis ","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141195101","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}
This study evaluates the carbon neutrality of eco-slope protection projects to understand their role in climate change mitigation. Utilizing life cycle assessment, it defines system boundaries and compiles inventories to calculate and analyze carbon emissions and assimilations of a wet-spraying vegetation concrete eco-slope protection project in China, simplifying previous methodologies and emphasizing the critical role of vegetation. Findings indicate lifecycle carbon emissions total 608.01 tCO
{"title":"Assessment of the carbon neutral capacity of ecological slopes: A case study of wet-spraying vegetation concrete ecological river revetment","authors":"Yujie Luo, Weisheng Xu, Qing Xu, Buqing Chen, Hongcai Shi, Jianjun Ye","doi":"10.2166/wcc.2024.034","DOIUrl":"https://doi.org/10.2166/wcc.2024.034","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.034/2/m_jwc-d-24-00034gf01.png?Expires=1720092532&Signature=W8pYns0cdQIEaBomQn8RufuumcG3kYl~fkc3sprywzy6KJBRpUSV4novWvHFqbTJgO2B3pBpQ1Olr6~1U7vDXSHnSRtjgmB5xIaEEYpVbBMMiOQ-mWiH3RoeBjCJ-bY3Xs3RPykDTi-YdAp57gQmnIajy2MJ~znULB7N-1k-qQL3S5flk2OwOZ~bxnRoq8194LwJ6Z9O5mfFrvGD2rv88mmWEre5LOIToOP-yPogzIq8VZ4rs6Lc-fRVcdAvyHHEann2Kz6uueOFlzHUHKU~0mhDRBQxH3a2fdmSAjjg1UBHIU1cW3R4337LglFUhHzZjQgkokUCtgobb8cD5OeTig__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00034gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.034/2/m_jwc-d-24-00034gf01.png?Expires=1720092532&Signature=W8pYns0cdQIEaBomQn8RufuumcG3kYl~fkc3sprywzy6KJBRpUSV4novWvHFqbTJgO2B3pBpQ1Olr6~1U7vDXSHnSRtjgmB5xIaEEYpVbBMMiOQ-mWiH3RoeBjCJ-bY3Xs3RPykDTi-YdAp57gQmnIajy2MJ~znULB7N-1k-qQL3S5flk2OwOZ~bxnRoq8194LwJ6Z9O5mfFrvGD2rv88mmWEre5LOIToOP-yPogzIq8VZ4rs6Lc-fRVcdAvyHHEann2Kz6uueOFlzHUHKU~0mhDRBQxH3a2fdmSAjjg1UBHIU1cW3R4337LglFUhHzZjQgkokUCtgobb8cD5OeTig__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.034/2/m_jwc-d-24-00034gf01.png?Expires=1720092532&Signature=W8pYns0cdQIEaBomQn8RufuumcG3kYl~fkc3sprywzy6KJBRpUSV4novWvHFqbTJgO2B3pBpQ1Olr6~1U7vDXSHnSRtjgmB5xIaEEYpVbBMMiOQ-mWiH3RoeBjCJ-bY3Xs3RPykDTi-YdAp57gQmnIajy2MJ~znULB7N-1k-qQL3S5flk2OwOZ~bxnRoq8194LwJ6Z9O5mfFrvGD2rv88mmWEre5LOIToOP-yPogzIq8VZ4rs6Lc-fRVcdAvyHHEann2Kz6uueOFlzHUHKU~0mhDRBQxH3a2fdmSAjjg1UBHIU1cW3R4337LglFUhHzZjQgkokUCtgobb8cD5OeTig__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00034gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.034/2/m_jwc-d-24-00034gf01.png?Expires=1720092532&Signature=W8pYns0cdQIEaBomQn8RufuumcG3kYl~fkc3sprywzy6KJBRpUSV4novWvHFqbTJgO2B3pBpQ1Olr6~1U7vDXSHnSRtjgmB5xIaEEYpVbBMMiOQ-mWiH3RoeBjCJ-bY3Xs3RPykDTi-YdAp57gQmnIajy2MJ~znULB7N-1k-qQL3S5flk2OwOZ~bxnRoq8194LwJ6Z9O5mfFrvGD2rv88mmWEre5LOIToOP-yPogzIq8VZ4rs6Lc-fRVcdAvyHHEann2Kz6uueOFlzHUHKU~0mhDRBQxH3a2fdmSAjjg1UBHIU1cW3R4337LglFUhHzZjQgkokUCtgobb8cD5OeTig__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>This study evaluates the carbon neutrality of eco-slope protection projects to understand their role in climate change mitigation. Utilizing life cycle assessment, it defines system boundaries and compiles inventories to calculate and analyze carbon emissions and assimilations of a wet-spraying vegetation concrete eco-slope protection project in China, simplifying previous methodologies and emphasizing the critical role of vegetation. Findings indicate lifecycle carbon emissions total 608.01 tCO<sub>","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141195113","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}
Morphometric analysis plays a crucial role in the effective management of the surface as well as subsurface water resources. In the present study, ASTER DEM and Survey of India toposheets were utilized to characterize various morphological aspects of the Nandhour-Kalish watershed in Uttarakhand, India. In total, 12 sub-watersheds were determined using the SWAT 2012 in ArcGIS v10.4.1 and were coded as SW1–SW12. For each sub-watershed, 17 morphometric indices were estimated using Principal Component An
{"title":"Utilizing statistical and MCDM techniques in indexing morphometric parameters towards improved watershed management in the Nandhour-Kalish drainage system","authors":"Dheeraj Mohan Gururani, Divyesh Varade, Himanshu Joshi, Hemant Singh, Yogendra Kumar, Vinod Kumar","doi":"10.2166/wcc.2024.073","DOIUrl":"https://doi.org/10.2166/wcc.2024.073","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.073/2/m_jwc-d-24-00073gf01.png?Expires=1720093898&Signature=eW7dejghmvNVPXgYBr4CfZNvWYxTinNe2lxzVUxl2N8lKq1MDLTBLQKjQTWaDNkS7Z2Sh8rj64ks-vCUQp8L-Bh-RD07zXh8MtMyJSsSDUo7EyZJQDcO6Z3m0tYZalsZTaWM3QLk5RwCZX1pFAO40Rar4MQjrL-haXVGEVZ~F008ZAIZ-9~Zz~re8tpyMLPh0J6C1ePDj6~B4rGWbGwVEBeO7Ofx96Sv0V1KepS~6dm8X1BB7wI~n6oAdoOQOlLX4Qd3FLuhx3DFyzYAUsGwIFCyP4CIYEWoAddfLoxCWCNHZ-OIX8f~P1IuQ~RKcno7l3VfFTlt3I3xkioYFsY-HQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00073gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.073/2/m_jwc-d-24-00073gf01.png?Expires=1720093898&Signature=eW7dejghmvNVPXgYBr4CfZNvWYxTinNe2lxzVUxl2N8lKq1MDLTBLQKjQTWaDNkS7Z2Sh8rj64ks-vCUQp8L-Bh-RD07zXh8MtMyJSsSDUo7EyZJQDcO6Z3m0tYZalsZTaWM3QLk5RwCZX1pFAO40Rar4MQjrL-haXVGEVZ~F008ZAIZ-9~Zz~re8tpyMLPh0J6C1ePDj6~B4rGWbGwVEBeO7Ofx96Sv0V1KepS~6dm8X1BB7wI~n6oAdoOQOlLX4Qd3FLuhx3DFyzYAUsGwIFCyP4CIYEWoAddfLoxCWCNHZ-OIX8f~P1IuQ~RKcno7l3VfFTlt3I3xkioYFsY-HQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.073/2/m_jwc-d-24-00073gf01.png?Expires=1720093898&Signature=eW7dejghmvNVPXgYBr4CfZNvWYxTinNe2lxzVUxl2N8lKq1MDLTBLQKjQTWaDNkS7Z2Sh8rj64ks-vCUQp8L-Bh-RD07zXh8MtMyJSsSDUo7EyZJQDcO6Z3m0tYZalsZTaWM3QLk5RwCZX1pFAO40Rar4MQjrL-haXVGEVZ~F008ZAIZ-9~Zz~re8tpyMLPh0J6C1ePDj6~B4rGWbGwVEBeO7Ofx96Sv0V1KepS~6dm8X1BB7wI~n6oAdoOQOlLX4Qd3FLuhx3DFyzYAUsGwIFCyP4CIYEWoAddfLoxCWCNHZ-OIX8f~P1IuQ~RKcno7l3VfFTlt3I3xkioYFsY-HQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-24-00073gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.073/2/m_jwc-d-24-00073gf01.png?Expires=1720093898&Signature=eW7dejghmvNVPXgYBr4CfZNvWYxTinNe2lxzVUxl2N8lKq1MDLTBLQKjQTWaDNkS7Z2Sh8rj64ks-vCUQp8L-Bh-RD07zXh8MtMyJSsSDUo7EyZJQDcO6Z3m0tYZalsZTaWM3QLk5RwCZX1pFAO40Rar4MQjrL-haXVGEVZ~F008ZAIZ-9~Zz~re8tpyMLPh0J6C1ePDj6~B4rGWbGwVEBeO7Ofx96Sv0V1KepS~6dm8X1BB7wI~n6oAdoOQOlLX4Qd3FLuhx3DFyzYAUsGwIFCyP4CIYEWoAddfLoxCWCNHZ-OIX8f~P1IuQ~RKcno7l3VfFTlt3I3xkioYFsY-HQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Morphometric analysis plays a crucial role in the effective management of the surface as well as subsurface water resources. In the present study, ASTER DEM and Survey of India toposheets were utilized to characterize various morphological aspects of the Nandhour-Kalish watershed in Uttarakhand, India. In total, 12 sub-watersheds were determined using the SWAT 2012 in ArcGIS v10.4.1 and were coded as SW1–SW12. For each sub-watershed, 17 morphometric indices were estimated using Principal Component An","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141195097","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}
This study has been investigated using the new criterion measuring complexity Hilbert-Huang entropy (HHE), changes, and fluctuations in groundwater levels under the influence of climate change factors and humans. In this regard, the 120-month time series of groundwater level, precipitation, temperature, and runoff parameters (period 2009–2018) are first divided into five 24-month periods, then by applying the Hilbert-Huang transform. Each period is decomposed down into smaller periods, and finally, t
{"title":"Investigating climatic and human effects on the decline in the groundwater level (a case study of the Kuhdasht plain)","authors":"Reza Hassanzadeh, Safa Peyman, Amirmohammad Hassanzadeh","doi":"10.2166/wcc.2024.444","DOIUrl":"https://doi.org/10.2166/wcc.2024.444","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.444/2/m_jwc-d-23-00444gf01.png?Expires=1720092487&Signature=eGIaT1U49puanxZ1sPYl49B65mie8ZKAKum0bZffXOSCH4F2yXqJrmLosknyhqk6gTfMkfU2AJlqNJMjC2ku9lZ24V3wvHDtpn4UU18-cXGist6d4JYcNb6F0zJoixkJJCTZFKj5uxs5egiUGmeBqsWEEDgoe6Z2EVohTKGS8r31SUKDyypDGF6ePxxZRzigOl-EJuon6RmwXn8SWX8z9i47oXkIxcqvbO2qsWf13NBnQwgZcbEI8SUg8QDZ-1IVPtUE13QtBl-Xek9rdTk6EMfPxAaZHk-EWokcdiOKtgI9DyxFMHKzo-zvwi2bsTlxJluMXZbXG6BgyUb9mgy2oA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00444gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.444/2/m_jwc-d-23-00444gf01.png?Expires=1720092487&Signature=eGIaT1U49puanxZ1sPYl49B65mie8ZKAKum0bZffXOSCH4F2yXqJrmLosknyhqk6gTfMkfU2AJlqNJMjC2ku9lZ24V3wvHDtpn4UU18-cXGist6d4JYcNb6F0zJoixkJJCTZFKj5uxs5egiUGmeBqsWEEDgoe6Z2EVohTKGS8r31SUKDyypDGF6ePxxZRzigOl-EJuon6RmwXn8SWX8z9i47oXkIxcqvbO2qsWf13NBnQwgZcbEI8SUg8QDZ-1IVPtUE13QtBl-Xek9rdTk6EMfPxAaZHk-EWokcdiOKtgI9DyxFMHKzo-zvwi2bsTlxJluMXZbXG6BgyUb9mgy2oA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.444/2/m_jwc-d-23-00444gf01.png?Expires=1720092487&Signature=eGIaT1U49puanxZ1sPYl49B65mie8ZKAKum0bZffXOSCH4F2yXqJrmLosknyhqk6gTfMkfU2AJlqNJMjC2ku9lZ24V3wvHDtpn4UU18-cXGist6d4JYcNb6F0zJoixkJJCTZFKj5uxs5egiUGmeBqsWEEDgoe6Z2EVohTKGS8r31SUKDyypDGF6ePxxZRzigOl-EJuon6RmwXn8SWX8z9i47oXkIxcqvbO2qsWf13NBnQwgZcbEI8SUg8QDZ-1IVPtUE13QtBl-Xek9rdTk6EMfPxAaZHk-EWokcdiOKtgI9DyxFMHKzo-zvwi2bsTlxJluMXZbXG6BgyUb9mgy2oA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00444gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/5/10.2166_wcc.2024.444/2/m_jwc-d-23-00444gf01.png?Expires=1720092487&Signature=eGIaT1U49puanxZ1sPYl49B65mie8ZKAKum0bZffXOSCH4F2yXqJrmLosknyhqk6gTfMkfU2AJlqNJMjC2ku9lZ24V3wvHDtpn4UU18-cXGist6d4JYcNb6F0zJoixkJJCTZFKj5uxs5egiUGmeBqsWEEDgoe6Z2EVohTKGS8r31SUKDyypDGF6ePxxZRzigOl-EJuon6RmwXn8SWX8z9i47oXkIxcqvbO2qsWf13NBnQwgZcbEI8SUg8QDZ-1IVPtUE13QtBl-Xek9rdTk6EMfPxAaZHk-EWokcdiOKtgI9DyxFMHKzo-zvwi2bsTlxJluMXZbXG6BgyUb9mgy2oA__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>This study has been investigated using the new criterion measuring complexity Hilbert-Huang entropy (HHE), changes, and fluctuations in groundwater levels under the influence of climate change factors and humans. In this regard, the 120-month time series of groundwater level, precipitation, temperature, and runoff parameters (period 2009–2018) are first divided into five 24-month periods, then by applying the Hilbert-Huang transform. Each period is decomposed down into smaller periods, and finally, t","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141195137","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}
{"title":"Corrigendum: Journal of Water and Climate Change 1 December 2020; 11 (4): 1784–1797. Grafting vegetables for mitigating environmental stresses under climate change: a review. Hira Singh, Sorabh Sethi, Prashant Kaushik, Anthony Fulford. doi: https://dx.doi.org/10.2166/wcc.2019.177","authors":"","doi":"10.2166/wcc.2024.001","DOIUrl":"https://doi.org/10.2166/wcc.2024.001","url":null,"abstract":"Abstract not available","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140568287","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}
Climate change-driven water scarcity will lead to inequitable water, sanitation, and hygiene (WASH) access. However, current research in Zambia has ignored linking climate science dimensions to WASH access programs, thus limiting WASH-related climate action across the country. Here, we combine analyses of in situ datasets, modeling techniques, and systematic literature reviews to provide a solid climate science basis for WASH–climate action in Zambia. We find that in a warm near future clima
{"title":"Recent and future exposure of water, sanitation, and hygiene systems to climate-related hazards in Zambia","authors":"Brigadier Libanda, Emily Rand, Gloria Nyam Gyang, Charity Tuseko Sindano, Lukundo Simwanza, Mkhuzo Chongo","doi":"10.2166/wcc.2024.392","DOIUrl":"https://doi.org/10.2166/wcc.2024.392","url":null,"abstract":"<div><div data- reveal-group-><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/3/10.2166_wcc.2024.392/2/m_jwc-d-23-00392gf01.png?Expires=1714805000&Signature=4NL~jxKKL79LeOIznn-U2O7lfPlBskw0fB4Hhj9-y7MRpwCcY3~Hpe-WX1K2-2cIMgGtRWh0Zs4ny3FrG0sR8WUc4~NJhQZcW3s4UvNAqcU8krfmlezFF4mS~axSkbwwZBd9yuQ~0TUiJ~6cZ~30DazebMBWHoxet8ykLcow5FkvtMqRgmWWp5YcPmG1pZd1z~yE0jSz5KZGV3O~8Ab2UNnfFS3cyzTZBpBKFhYUS6ofPtnkPuNxH2tdG37Q9YqTotUAyeifzSS9x3Vq8f4ep4G1gy7PzTJLGuoFDtrQSCavjkJCsgyyhRk3mN8Y3jyc3LXwGKPQb1EIbS9ot7d2-w__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00392gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/3/10.2166_wcc.2024.392/2/m_jwc-d-23-00392gf01.png?Expires=1714805000&Signature=4NL~jxKKL79LeOIznn-U2O7lfPlBskw0fB4Hhj9-y7MRpwCcY3~Hpe-WX1K2-2cIMgGtRWh0Zs4ny3FrG0sR8WUc4~NJhQZcW3s4UvNAqcU8krfmlezFF4mS~axSkbwwZBd9yuQ~0TUiJ~6cZ~30DazebMBWHoxet8ykLcow5FkvtMqRgmWWp5YcPmG1pZd1z~yE0jSz5KZGV3O~8Ab2UNnfFS3cyzTZBpBKFhYUS6ofPtnkPuNxH2tdG37Q9YqTotUAyeifzSS9x3Vq8f4ep4G1gy7PzTJLGuoFDtrQSCavjkJCsgyyhRk3mN8Y3jyc3LXwGKPQb1EIbS9ot7d2-w__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div></div><div content- data-reveal=\"data-reveal\"><div><img alt=\"graphic\" data-src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/3/10.2166_wcc.2024.392/2/m_jwc-d-23-00392gf01.png?Expires=1714805000&Signature=4NL~jxKKL79LeOIznn-U2O7lfPlBskw0fB4Hhj9-y7MRpwCcY3~Hpe-WX1K2-2cIMgGtRWh0Zs4ny3FrG0sR8WUc4~NJhQZcW3s4UvNAqcU8krfmlezFF4mS~axSkbwwZBd9yuQ~0TUiJ~6cZ~30DazebMBWHoxet8ykLcow5FkvtMqRgmWWp5YcPmG1pZd1z~yE0jSz5KZGV3O~8Ab2UNnfFS3cyzTZBpBKFhYUS6ofPtnkPuNxH2tdG37Q9YqTotUAyeifzSS9x3Vq8f4ep4G1gy7PzTJLGuoFDtrQSCavjkJCsgyyhRk3mN8Y3jyc3LXwGKPQb1EIbS9ot7d2-w__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\" path-from-xml=\"jwc-d-23-00392gf01.tif\" src=\"https://iwa.silverchair-cdn.com/iwa/content_public/journal/jwcc/15/3/10.2166_wcc.2024.392/2/m_jwc-d-23-00392gf01.png?Expires=1714805000&Signature=4NL~jxKKL79LeOIznn-U2O7lfPlBskw0fB4Hhj9-y7MRpwCcY3~Hpe-WX1K2-2cIMgGtRWh0Zs4ny3FrG0sR8WUc4~NJhQZcW3s4UvNAqcU8krfmlezFF4mS~axSkbwwZBd9yuQ~0TUiJ~6cZ~30DazebMBWHoxet8ykLcow5FkvtMqRgmWWp5YcPmG1pZd1z~yE0jSz5KZGV3O~8Ab2UNnfFS3cyzTZBpBKFhYUS6ofPtnkPuNxH2tdG37Q9YqTotUAyeifzSS9x3Vq8f4ep4G1gy7PzTJLGuoFDtrQSCavjkJCsgyyhRk3mN8Y3jyc3LXwGKPQb1EIbS9ot7d2-w__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA\"/><div>View largeDownload slide</div></div><i> </i><span>Close modal</span></div></div><p>Climate change-driven water scarcity will lead to inequitable water, sanitation, and hygiene (WASH) access. However, current research in Zambia has ignored linking climate science dimensions to WASH access programs, thus limiting WASH-related climate action across the country. Here, we combine analyses of <em>in situ</em> datasets, modeling techniques, and systematic literature reviews to provide a solid climate science basis for WASH–climate action in Zambia. We find that in a warm near future clima","PeriodicalId":510893,"journal":{"name":"Journal of Water & Climate Change","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140568286","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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