Pub Date : 2023-12-01DOI: 10.1061/jhyeff.heeng-6016
Jonathan David D. Lasco, G. Moglen
{"title":"Hydrologic Conservatism as a Rationale for Selecting NRCS Initial Abstraction Ratio","authors":"Jonathan David D. Lasco, G. Moglen","doi":"10.1061/jhyeff.heeng-6016","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6016","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" 48","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138616153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1061/jhyeff.heeng-6058
Debarghya Bhattacharyya, Ujjwal Saha
{"title":"Geographical Transferability of Pretrained K-Means Clustering–Artificial Neural Network Model for Disaggregation of Rainfall Data in an Indian Monsoon Climate","authors":"Debarghya Bhattacharyya, Ujjwal Saha","doi":"10.1061/jhyeff.heeng-6058","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6058","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"29 12","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138627377","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1061/jhyeff.heeng-5829
Joel Pierce, Brian Waldron, Farhad Jazaei
{"title":"Manual Sensitivity Analysis to Enhance a Previously PEST-Calibrated Shallow Aquifer and Aquitard Breach Model","authors":"Joel Pierce, Brian Waldron, Farhad Jazaei","doi":"10.1061/jhyeff.heeng-5829","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5829","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"5 2","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138624575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-12-01DOI: 10.1061/jhyeff.heeng-6090
Vijay Singh
{"title":"A Note on the Time of Concentration","authors":"Vijay Singh","doi":"10.1061/jhyeff.heeng-6090","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6090","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"116 12","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138608244","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jhyeff.heeng-5960
Mevlüt Ersoy, M. Keskin, Remzi Gürfidan
{"title":"Rainfall Forecasting with Hybrid and Machine Learning Models Based on Hyperparameter Optimization","authors":"Mevlüt Ersoy, M. Keskin, Remzi Gürfidan","doi":"10.1061/jhyeff.heeng-5960","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5960","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"42590640","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jhyeff.heeng-5987
P. K. Sharma, Akhilesh Paswan
{"title":"Flow and Colloid-Facilitated Contaminant Transport in the Vadose Zone: Numerical Study","authors":"P. K. Sharma, Akhilesh Paswan","doi":"10.1061/jhyeff.heeng-5987","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5987","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44489261","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jhyeff.heeng-5951
Huali Chen, Long Zhang, Gang Chen, Maoze Shao, Xianwu Zheng, Huijun Liu, Ting Wang, Cheng Hu
The use of a natural and low-impact way of managing surface water and groundwater in a sunken plaza is meaningful for urban ecological development. To achieve water storage, purification, and recycling, this study investigated a water circulation system in a sunken plaza based on the groundwater and surface water transformation and combination. A joint water-stop curtain system was constructed with underground continuous walls, RC wall, building main structure, adjacent support structure, and waterproof stratum at the bottom of the main structure. On the basis of the stratum data and parameters of the study area, a three-dimensional (3D) groundwater model was built using FEFLOW 7.5 comparing the actual groundwater level monitoring data from the field pumping test with the simulation data, the accuracy of the model was verified, and the water volume change of the sunken plaza was calculated. The low permeability of the curtain system calculated by a field test and the numerical model proved that the pumping activities in the sunken plaza had extremely low impact on the groundwater level outside the plaza. On the basis of this result, the pumping and seepage wells and water quality and quantity observation wells were designed scientifically and rationally. The purification and circulation control of water were realized in combination with rainwater, drainage, landscape, paving, and other facilities. According to the circulation system designed in this study, the annual water recycling capacity of the sunken plaza can reach more than 60,000 m3, and the total suspended solids (TSS), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) indicators in the rainwater can be reduced by more than 15% on average. The sunken plaza area forms a small spongy body that realizes water circulation, economic benefits, and ecological functions for the first time using groundwater storage. The developed method can be used for the water circulation and ecological construction of sunken plazas with similar geological environments.
{"title":"Water Circulation System of a Sunken Plaza Based on the Concept of a Sponge City Utilizing Groundwater","authors":"Huali Chen, Long Zhang, Gang Chen, Maoze Shao, Xianwu Zheng, Huijun Liu, Ting Wang, Cheng Hu","doi":"10.1061/jhyeff.heeng-5951","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5951","url":null,"abstract":"The use of a natural and low-impact way of managing surface water and groundwater in a sunken plaza is meaningful for urban ecological development. To achieve water storage, purification, and recycling, this study investigated a water circulation system in a sunken plaza based on the groundwater and surface water transformation and combination. A joint water-stop curtain system was constructed with underground continuous walls, RC wall, building main structure, adjacent support structure, and waterproof stratum at the bottom of the main structure. On the basis of the stratum data and parameters of the study area, a three-dimensional (3D) groundwater model was built using FEFLOW 7.5 comparing the actual groundwater level monitoring data from the field pumping test with the simulation data, the accuracy of the model was verified, and the water volume change of the sunken plaza was calculated. The low permeability of the curtain system calculated by a field test and the numerical model proved that the pumping activities in the sunken plaza had extremely low impact on the groundwater level outside the plaza. On the basis of this result, the pumping and seepage wells and water quality and quantity observation wells were designed scientifically and rationally. The purification and circulation control of water were realized in combination with rainwater, drainage, landscape, paving, and other facilities. According to the circulation system designed in this study, the annual water recycling capacity of the sunken plaza can reach more than 60,000 m3, and the total suspended solids (TSS), chemical oxygen demand (COD), total nitrogen (TN), and total phosphorus (TP) indicators in the rainwater can be reduced by more than 15% on average. The sunken plaza area forms a small spongy body that realizes water circulation, economic benefits, and ecological functions for the first time using groundwater storage. The developed method can be used for the water circulation and ecological construction of sunken plazas with similar geological environments.","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"183 5","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956958","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jhyeff.heeng-6012
Shan Zheng, Juan He, Baosheng Wu
{"title":"Water and Sediment Regulation by Cascade Dams at the Yellow River, China","authors":"Shan Zheng, Juan He, Baosheng Wu","doi":"10.1061/jhyeff.heeng-6012","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6012","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46399283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-11-01DOI: 10.1061/jhyeff.heeng-5966
Li Yao, Xinqin Gu, Lifeng Wu
Numerical weather prediction (NWP) can provide vital information for pan evaporation (Ep) forecasts for the 16 days ahead, which is of great help to water resources management. However, the information for forecasting Ep usually requires bias corrections. This study was based on three bias correction methods [the equidistant cumulative distribution function method (EDCDFm; M1), XGBoost (XGB) with a single meteorological factor input (M2), and XGB with multiple meteorological factor input (M3)] and the meteorological data from 18 weather stations in southern China, the bias correction of meteorological factors forecasted by the second-generation Global Ensemble Forecast System (GEFSv2) was carried out. The results indicated the bias correction ability of the M3 method for GEFSv2 outputs was better than that of the M1 and M2 methods. It was a model-data error between GEFSv2 outputs and the corresponding observation data. Solar radiation exhibited the lowest error, whereas minimum temperature exhibited the highest. However, the M3 method decreased the forecast model-data error. In addition, this study compared the ability of three tree-based models to forecast Ep, namely, M5Tree (M5T), random forest (RF), and XGB. The XGB model had the highest forecasting accuracy for Ep. When the NWP outputs corrected by M1, M2, and M3 methods were used as the input of the XGB model, the averages of mean absolute errors (MAEs) at the 18 stations during the 1–16 day period ranged at 0.99–1.69, 0.78–1.14, and 0.78–1.07 mm/day, respectively. EP forecast showed the most significant error in the summer. Further, the relative humidity contributed the most to the Ep forecasting error. By addressing the issue of NWP outputs applied to Ep forecast, this study improves understanding of the bias correction method of NWP outputs and tree-based models to forecast Ep. It also improves understanding of the seasonal performance of Ep forecast and the impact of meteorological factors on forecast error that can inform future studies and models.
{"title":"Short-Term Forecasting of Daily Pan Evaporation Using Corrected Numerical Weather Forecasts Products","authors":"Li Yao, Xinqin Gu, Lifeng Wu","doi":"10.1061/jhyeff.heeng-5966","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5966","url":null,"abstract":"Numerical weather prediction (NWP) can provide vital information for pan evaporation (Ep) forecasts for the 16 days ahead, which is of great help to water resources management. However, the information for forecasting Ep usually requires bias corrections. This study was based on three bias correction methods [the equidistant cumulative distribution function method (EDCDFm; M1), XGBoost (XGB) with a single meteorological factor input (M2), and XGB with multiple meteorological factor input (M3)] and the meteorological data from 18 weather stations in southern China, the bias correction of meteorological factors forecasted by the second-generation Global Ensemble Forecast System (GEFSv2) was carried out. The results indicated the bias correction ability of the M3 method for GEFSv2 outputs was better than that of the M1 and M2 methods. It was a model-data error between GEFSv2 outputs and the corresponding observation data. Solar radiation exhibited the lowest error, whereas minimum temperature exhibited the highest. However, the M3 method decreased the forecast model-data error. In addition, this study compared the ability of three tree-based models to forecast Ep, namely, M5Tree (M5T), random forest (RF), and XGB. The XGB model had the highest forecasting accuracy for Ep. When the NWP outputs corrected by M1, M2, and M3 methods were used as the input of the XGB model, the averages of mean absolute errors (MAEs) at the 18 stations during the 1–16 day period ranged at 0.99–1.69, 0.78–1.14, and 0.78–1.07 mm/day, respectively. EP forecast showed the most significant error in the summer. Further, the relative humidity contributed the most to the Ep forecasting error. By addressing the issue of NWP outputs applied to Ep forecast, this study improves understanding of the bias correction method of NWP outputs and tree-based models to forecast Ep. It also improves understanding of the seasonal performance of Ep forecast and the impact of meteorological factors on forecast error that can inform future studies and models.","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"61 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957401","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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