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International Journal of Hydrology Science and Technology最新文献

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Bias correction of regional climate model simulation for hydrological climate change over Bouregrag watershed in Morocco 摩洛哥Bouregrag流域水文气候变化区域气候模式模拟的偏差校正
IF 1.8
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10056362
K. Elrhaz, A. Fadil, N. Semane, A. Boudhar, R. Hadria, T. Benabdelouahab, F. Gadouali
{"title":"Bias correction of regional climate model simulation for hydrological climate change over Bouregrag watershed in Morocco","authors":"K. Elrhaz, A. Fadil, N. Semane, A. Boudhar, R. Hadria, T. Benabdelouahab, F. Gadouali","doi":"10.1504/ijhst.2023.10056362","DOIUrl":"https://doi.org/10.1504/ijhst.2023.10056362","url":null,"abstract":"","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66948042","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}
引用次数: 0
Strategic planning of rubber dams by the SWOT and SWOT-AHP methods in Iran 用SWOT和SWOT- ahp方法对伊朗橡胶坝进行战略规划
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.128718
Mohammad Kazem Ghorbani, Hossein Hamidifar
{"title":"Strategic planning of rubber dams by the SWOT and SWOT-AHP methods in Iran","authors":"Mohammad Kazem Ghorbani, Hossein Hamidifar","doi":"10.1504/ijhst.2023.128718","DOIUrl":"https://doi.org/10.1504/ijhst.2023.128718","url":null,"abstract":"In recent years, the development of rubber dams or inflatable flexible membrane dams (IFMDs) has received more attention by researchers due to severe drought and flood conditions. The present study examine the strength (S), weakness (W), opportunity (O), and threat (T) factors or simply SWOT of development strategies of the IFMDs. To determine suitable strategies, the weights of the most important internal and external factors have been determined by the SWOT and the SWOT-AHP methods. The results demonstrated that the strengths-threats (ST) strategy must be considered in the development of these dams in Iran. Also, some strategies have been proposed for improved implementation of a comprehensive development program for better fulfilment of the strategic management of the IFMDs.","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135470402","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}
引用次数: 1
Effect of land use land cover change on runoff characteristics using curve number: a GIS and remote sensing approach 基于曲线数的土地利用、土地覆盖变化对径流特征的影响:GIS和遥感方法
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.131824
Darshan Mehta, Janvi Hadvani, Devanshi Kanthariya, Prachi Sonawala
{"title":"Effect of land use land cover change on runoff characteristics using curve number: a GIS and remote sensing approach","authors":"Darshan Mehta, Janvi Hadvani, Devanshi Kanthariya, Prachi Sonawala","doi":"10.1504/ijhst.2023.131824","DOIUrl":"https://doi.org/10.1504/ijhst.2023.131824","url":null,"abstract":"","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135734106","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}
引用次数: 1
Developing rainfall intensity-duration-frequency curves for Dodola catchment to estimate peak discharge using frequency analysis 利用频率分析方法，建立多朵拉流域降雨强度-持续时间-频率曲线，估算峰值流量
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.134625
Takele Sambeto Bibi
{"title":"Developing rainfall intensity-duration-frequency curves for Dodola catchment to estimate peak discharge using frequency analysis","authors":"Takele Sambeto Bibi","doi":"10.1504/ijhst.2023.134625","DOIUrl":"https://doi.org/10.1504/ijhst.2023.134625","url":null,"abstract":"The development of intensity-duration-frequency (IDF) curves is one of the most common and useful tools to estimate peak discharge. The purpose of this study was to develop the IDF curves for five selected stations in the Dodola catchment. The Ethiopian Road Authority (ERA) reduction empirical formula was used to estimate the short-duration rainfall intensity from daily rainfall data. The L-moment ratio diagram and three goodness-of-fit tests were used to identify the best-fit probability distribution. The IDF curves that were constructed using regionalised distribution were compared with at-site IDF curves. The difference between the two sets of IDF curves small differences, also, shows the same trend for all selected return periods. These IDF curves will help in the estimation of peak discharge in the catchment.","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134891148","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}
引用次数: 0
Estimation of storage capacity of the proposed rainwater harvesting structures (check dam) using geospatial technique: a case study in Tripura, India 利用地理空间技术估算拟议的雨水收集结构(止水坝)的储存能力:以印度特里普拉邦为例
IF 1.8
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10054787
Shanbor Kurbah, N. Ramachandran, R. Das, Bajitborlang L. Chyne
{"title":"Estimation of storage capacity of the proposed rainwater harvesting structures (check dam) using geospatial technique: a case study in Tripura, India","authors":"Shanbor Kurbah, N. Ramachandran, R. Das, Bajitborlang L. Chyne","doi":"10.1504/ijhst.2023.10054787","DOIUrl":"https://doi.org/10.1504/ijhst.2023.10054787","url":null,"abstract":"","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66947425","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}
引用次数: 0
Integrated rainfall-runoff modelling using fuzzy logic considering soil moisture: case study of Damanganga Basin 考虑土壤湿度的模糊逻辑综合降雨径流模型——以达曼甘嘎流域为例
IF 1.8
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.10058036
Darshan J. Mehta, Vrushti C. Kantharia
{"title":"Integrated rainfall-runoff modelling using fuzzy logic considering soil moisture: case study of Damanganga Basin","authors":"Darshan J. Mehta, Vrushti C. Kantharia","doi":"10.1504/ijhst.2023.10058036","DOIUrl":"https://doi.org/10.1504/ijhst.2023.10058036","url":null,"abstract":"","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66947746","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}
引用次数: 0
Geology and granulometry analysis of Krueng Aceh River floodplain, Aceh Besar 亚齐省Krueng Aceh河漫滩地质及粒度分析
IF 1.8
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.133131
Muhammad Irham, Firdha Sabrina, Fahri Adrian, G. Nugraha, Dewi Sartika, Edy Miswar
{"title":"Geology and granulometry analysis of Krueng Aceh River floodplain, Aceh Besar","authors":"Muhammad Irham, Firdha Sabrina, Fahri Adrian, G. Nugraha, Dewi Sartika, Edy Miswar","doi":"10.1504/ijhst.2023.133131","DOIUrl":"https://doi.org/10.1504/ijhst.2023.133131","url":null,"abstract":"","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66949549","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}
引用次数: 0
Runoff prediction based on climate change projection of the Greater Zab River Basin 基于气候变化预测的大扎布河流域径流预测
IF 1.8
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.133149
F. Elzahry, S. A. Zahran, Muhanad Talal Al Sheer
{"title":"Runoff prediction based on climate change projection of the Greater Zab River Basin","authors":"F. Elzahry, S. A. Zahran, Muhanad Talal Al Sheer","doi":"10.1504/ijhst.2023.133149","DOIUrl":"https://doi.org/10.1504/ijhst.2023.133149","url":null,"abstract":"","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":1.8,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"66949611","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}
引用次数: 0
Geostatistical analyses empowered with gradient boosting and extra trees classifier algorithms in the prediction of groundwater quality and geology-lithology attributes over YSR district, India 在印度YSR地区，利用梯度增强和额外的树分类算法进行地质统计分析，预测地下水质量和地质岩性属性
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.134621
Mogaraju Jagadish Kumar
{"title":"Geostatistical analyses empowered with gradient boosting and extra trees classifier algorithms in the prediction of groundwater quality and geology-lithology attributes over YSR district, India","authors":"Mogaraju Jagadish Kumar","doi":"10.1504/ijhst.2023.134621","DOIUrl":"https://doi.org/10.1504/ijhst.2023.134621","url":null,"abstract":"Machine learning classifiers are integrated with the geostatistical analyses through interpolation techniques to predict groundwater quality and geology-lithology. Ordinary kriging is used to obtain the optimal interpolation model using RMSSE values. The data extracted from the surface maps were passed onto ML algorithms, resulting in prediction accuracies of 99% for groundwater quality and 96% in predicting the geology-lithology features. There was certain overfitting in the prediction and it was probably due to several classes of geology-lithology variables and limited data available for analysis. The interpolation methods might affect the model performance by producing overfitting and underfitting results. It is to report that the gradient boosting classifier yielded relatively high prediction accuracies in predicting groundwater quality when two classes were used. The extra trees classifier returned better results in predicting geology-lithology features when multiple classes were used in this study.","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134889816","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}
引用次数: 0
Comparison features importance for temporal and spatial-temporal approaches in GRACE and GRACE-FO signal reconstruction based on GLDAS data 比较了基于GLDAS数据的GRACE和GRACE- fo信号重构中时间和时空方法的重要性
International Journal of Hydrology Science and Technology Pub Date : 2023-01-01 DOI: 10.1504/ijhst.2023.134623
Viktor Szabó
{"title":"Comparison features importance for temporal and spatial-temporal approaches in GRACE and GRACE-FO signal reconstruction based on GLDAS data","authors":"Viktor Szabó","doi":"10.1504/ijhst.2023.134623","DOIUrl":"https://doi.org/10.1504/ijhst.2023.134623","url":null,"abstract":"Machine learning algorithms can effectively learn the complex relationships between various input variables from the global land data assimilation system (GLDAS) and the total water storage (TWS) observed by gravity recovery and climate experiment (GRACE) and GRACE-FO (follow-on) missions. As the TWS depends on various features, a serious question arises about the importance of used variables for reconstruction. Furthermore, will the variables used for the reconstruction be equally significant for grid-based and basin-based analyses? This work examined the importance of individual predictors for the temporal and spatial-temporal approach over 254 river basins using GRACE and GRACE-FO data as target and GLDAS data as predictors. The extreme gradient boosting (XGBoost) algorithm was used to reconstruct TWS. Results were evaluated with root-mean-square error, normalised root-mean-square error, Pearson correlation coefficient, Nash-Sutcliffe efficiency, and Kolmogorov-Smirnow-test metrics. Model output influence was checked by the model-agnostic version of the feature importance and by Shapley additive explanations (SHAP).","PeriodicalId":38406,"journal":{"name":"International Journal of Hydrology Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134891161","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}
引用次数: 0
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