Pub Date : 2023-11-01DOI: 10.1061/jhyeff.heeng-5937
Honglin Xiao, Jinping Zhang, Min Xu
{"title":"Study on Temporal Variability of Hydrological Elements in the Daqing River Basin, China","authors":"Honglin Xiao, Jinping Zhang, Min Xu","doi":"10.1061/jhyeff.heeng-5937","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5937","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":"46877885","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-6050
Dipsikha Devi, Arup Kumar Sarma
Hydropower dams can induce flash floods, leading to a severe cataclysm in flood-prone areas at downstream regions. On the catchment scale, flooding is not contributed solely by the reservoir releases, and there can be significant flow contributions from tributaries downstream of the dam. The major challenge in estimating the lateral flow contribution is that most tributaries are ungauged and situated in inaccessible areas. To overcome this inconsistency and to increase the precision of downstream flood warnings, a modeling framework was developed to quantify the flow contribution by ungauged tributaries to the mainstream using the drainage area ratio (DAR) method. The model parameters were estimated using optimization algorithms, and the best parameters were selected based on the error metrics. The modeling framework constitutes a reservoir operation model and hydrodynamic model developed in MATLAB version 2020b environment with the ease of coupling the two models. The estimated flow from the lateral tributaries based on the optimal model parameters of DAR and hourly inflow hydrographs were incorporated into the model. Two scenarios were analysed with and without lateral flow from ungauged tributaries. Results impart that the flood peaks have increased by more than 75% with the incorporation of the lateral flow. The model was validated with downstream stage and discharge data. The results indicated that the magnitude of the model generated and actual flow data were in the same range.Practical ApplicationsFlooding downstream due to sudden release from a hydropower dam is a matter of serious concern worldwide. To evaluate the potential flooding situation downstream, a dam release is generally routed by a hydrodynamic model. However, because hydropower dams are mostly located in remote areas, the tributaries located at inaccessible downstream areas remain ungauged and, therefore, obtaining precipitation/streamflow data of such tributaries become difficult. In absence of downstream flow contribution, the water level obtained by routing the reservoir release underestimates flood magnitude. The dam release flood falls in the high-hazard category because of its suddenness characteristics and, therefore, adverse consequences of underestimation cannot be overemphasized. This paper presents a framework that couples a reservoir operation model, a hydrodynamic model, and a simplified area–proportionate model to estimate downstream tributary contribution, so that a more reliable estimation of the downstream flood situation can be made. The modeling framework has been tested in the Ranganadi Hydropower Project situated in northeastern part of India. The coupled model can be applied to any reservoir with proper calibration of model parameters. By applying this model, a disaster manager would be in a position to disseminate in advance a more reliable downstream flood warning.
{"title":"Flow Assessment Downstream of a Hydroelectric Project in an Ungauged Area","authors":"Dipsikha Devi, Arup Kumar Sarma","doi":"10.1061/jhyeff.heeng-6050","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6050","url":null,"abstract":"Hydropower dams can induce flash floods, leading to a severe cataclysm in flood-prone areas at downstream regions. On the catchment scale, flooding is not contributed solely by the reservoir releases, and there can be significant flow contributions from tributaries downstream of the dam. The major challenge in estimating the lateral flow contribution is that most tributaries are ungauged and situated in inaccessible areas. To overcome this inconsistency and to increase the precision of downstream flood warnings, a modeling framework was developed to quantify the flow contribution by ungauged tributaries to the mainstream using the drainage area ratio (DAR) method. The model parameters were estimated using optimization algorithms, and the best parameters were selected based on the error metrics. The modeling framework constitutes a reservoir operation model and hydrodynamic model developed in MATLAB version 2020b environment with the ease of coupling the two models. The estimated flow from the lateral tributaries based on the optimal model parameters of DAR and hourly inflow hydrographs were incorporated into the model. Two scenarios were analysed with and without lateral flow from ungauged tributaries. Results impart that the flood peaks have increased by more than 75% with the incorporation of the lateral flow. The model was validated with downstream stage and discharge data. The results indicated that the magnitude of the model generated and actual flow data were in the same range.Practical ApplicationsFlooding downstream due to sudden release from a hydropower dam is a matter of serious concern worldwide. To evaluate the potential flooding situation downstream, a dam release is generally routed by a hydrodynamic model. However, because hydropower dams are mostly located in remote areas, the tributaries located at inaccessible downstream areas remain ungauged and, therefore, obtaining precipitation/streamflow data of such tributaries become difficult. In absence of downstream flow contribution, the water level obtained by routing the reservoir release underestimates flood magnitude. The dam release flood falls in the high-hazard category because of its suddenness characteristics and, therefore, adverse consequences of underestimation cannot be overemphasized. This paper presents a framework that couples a reservoir operation model, a hydrodynamic model, and a simplified area–proportionate model to estimate downstream tributary contribution, so that a more reliable estimation of the downstream flood situation can be made. The modeling framework has been tested in the Ranganadi Hydropower Project situated in northeastern part of India. The coupled model can be applied to any reservoir with proper calibration of model parameters. By applying this model, a disaster manager would be in a position to disseminate in advance a more reliable downstream flood warning.","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"61 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957400","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-5906
Xiaopei Ju, Dong Wang, Yuankun Wang, Vijay P. Singh, Along Zhang, Pengcheng Xu, Jichun Wu, Tao Ma, Jiufu Liu, Jianyun Zhang
This study develops a four-module-based multimodel framework, coupled with the projections of general circulation models (GCMs), a hydrological model (SWAT), and two sets of evaluation indicators [Indicators of Hydrologic Alteration (IHA) and River Regime Index (RRI)], to systematically quantify the response of ecohydrological regimes to climatic change. The Jinsha River Basin (JRB) was selected as a target area for both framework verification and application analysis because of its precious natural conditions, privileged abundant hydropower, and extremely rich fish resources. Results revealed that: (1) temperature and precipitation in the JRB would show increasing trends to varying degrees in the future. The increase in temperature would be much higher than that in precipitation, and the increment would be more significant during the end of the century (2068–2097). (2) The future runoff in the JRB may face an overall decreasing trend, leading to more and more frequent drought disasters. (3) The disturbances in the ecohydrological regime would result in more concentrated runoff and smoother hydrological pulse fluctuations in the JRB, meaning human-assisted participation would be required for the conservation of reproduction and development of ecological resources like Coreius guichenoti. Our findings suggest that effective management of future watershed resources can only be accomplished if an in-depth and comprehensive hydrological evaluation of changing climate is made, and the protection and sustainable development of ecological resources of the JRB in the future will require the participation of stakeholders. Figuring out the alteration in ecohydrological regimes under natural variation and its potential hazards may guide the degree of human participation in futural river protection.
{"title":"Climate-Induced Annual and Interannual Processual Shifts in Ecohydrological Regimes and Their Evaluations in Jinsha River Basin, China","authors":"Xiaopei Ju, Dong Wang, Yuankun Wang, Vijay P. Singh, Along Zhang, Pengcheng Xu, Jichun Wu, Tao Ma, Jiufu Liu, Jianyun Zhang","doi":"10.1061/jhyeff.heeng-5906","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5906","url":null,"abstract":"This study develops a four-module-based multimodel framework, coupled with the projections of general circulation models (GCMs), a hydrological model (SWAT), and two sets of evaluation indicators [Indicators of Hydrologic Alteration (IHA) and River Regime Index (RRI)], to systematically quantify the response of ecohydrological regimes to climatic change. The Jinsha River Basin (JRB) was selected as a target area for both framework verification and application analysis because of its precious natural conditions, privileged abundant hydropower, and extremely rich fish resources. Results revealed that: (1) temperature and precipitation in the JRB would show increasing trends to varying degrees in the future. The increase in temperature would be much higher than that in precipitation, and the increment would be more significant during the end of the century (2068–2097). (2) The future runoff in the JRB may face an overall decreasing trend, leading to more and more frequent drought disasters. (3) The disturbances in the ecohydrological regime would result in more concentrated runoff and smoother hydrological pulse fluctuations in the JRB, meaning human-assisted participation would be required for the conservation of reproduction and development of ecological resources like Coreius guichenoti. Our findings suggest that effective management of future watershed resources can only be accomplished if an in-depth and comprehensive hydrological evaluation of changing climate is made, and the protection and sustainable development of ecological resources of the JRB in the future will require the participation of stakeholders. Figuring out the alteration in ecohydrological regimes under natural variation and its potential hazards may guide the degree of human participation in futural river protection.","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"180 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134957519","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-5921
Vijay Singh, Anuj Kumar Dwivedi
{"title":"Analytical Solution of Kinematic Wave Equation for Overland Flow due to Storms Moving at a Velocity Lower than Flow Velocity","authors":"Vijay Singh, Anuj Kumar Dwivedi","doi":"10.1061/jhyeff.heeng-5921","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5921","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":"49185769","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-6011
Arya Sajeev, Subrahmanya Kundapura
{"title":"Temporal Assessment of Meteorological Drought Events Using Stationary and Nonstationary Drought Indices for Two Climate Regions in India","authors":"Arya Sajeev, Subrahmanya Kundapura","doi":"10.1061/jhyeff.heeng-6011","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6011","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":"43279035","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-5936
Seyedbamdad Ghafourian, B. Aminnejad, H. Ebrahimi
{"title":"Evaluating Direct Assimilation of Satellite-Based Potential Evapotranspiration into SWAT for Improving Hydrological Modeling","authors":"Seyedbamdad Ghafourian, B. Aminnejad, H. Ebrahimi","doi":"10.1061/jhyeff.heeng-5936","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5936","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":"48340941","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-5995
Joy Sanyal, Anuva Chowdhury
Remote sensing is widely used for monitoring reservoir capacities. The relationship between two water levels (WLs) and the corresponding satellite-derived water spread areas provides the reservoir volume between the two WLs. However, the accuracy of this method depends on the ability to capture the water spread areas at fine increments of WLs so that the cross section of a reservoir is represented in adequate detail. In a monsoon climate, persistent cloud cover during the rainy season limits the number of usable optical satellite images. Hence, the time interval between two successive WLs for which cloud-free images are available is generally large. Using only a few WLs increases the likelihood of missing a significant break of slope in the reservoirs that may lead to gross error in the storage measurement. We showed that the combination of freely available optical (e.g., Landsat 8) and cloud-penetrating microwave [e.g., European Space Agency (ESA) Sentinel-1] images may improve storage estimation and mitigate the inherent uncertainty of using remote sensing data for monitoring reservoir sedimentation. Three reservoirs in the Upper Godavari Basin in India constituted the study area. Findings show that the average annual sedimentation rate was overestimated by ∼10% when using only Landsat-8 images compared to combined radar and optical remote sensing databases (2016 and 2017). The suggested method made significant improvements in the estimation of reservoir capacities for narrow-bottomed and convex-edged reservoirs.Practical ApplicationsThe capacity of a reservoir is typically monitored on a periodic basis as a means of determining the reservoir’s overall health. This is a common application of satellite imagery. Satellite images are used to determine the volume of water stored in a reservoir by analyzing the relationship between two water levels and the area covered by the water. The greater the difference between the two water levels, the less precise this measurement will be. Under monsoon climate, cloud cover prevents the use of optical images during the rainy season when reservoir levels fluctuate greatly. Because there are fewer water levels to choose from due to the lack of images, the accuracy of the estimate suffers. Using three reservoirs in the monsoon region of peninsular India, this study shows that combining optical data from satellites like Landsat-8 with publicly available cloud-penetrating Sentinel-1 radar images greatly increases the number of water spread area–water level data points and decreases the error and uncertainty in the storage estimation. Based on our findings, it appears that the reported rate of capacity loss, derived from limited optical images, is likely to be inaccurate. The authors also found that the storage estimates of the narrow-bottomed conical-shaped reservoirs will be greatly improved by increasing the number of water levels in volume calculation.
{"title":"Reassessment of Reservoir Sedimentation Rates under a Monsoon Climate with Combined Optical and Microwave Remote Sensing: A Case Study of Three Reservoirs in the Upper Godavari Basin, India","authors":"Joy Sanyal, Anuva Chowdhury","doi":"10.1061/jhyeff.heeng-5995","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5995","url":null,"abstract":"Remote sensing is widely used for monitoring reservoir capacities. The relationship between two water levels (WLs) and the corresponding satellite-derived water spread areas provides the reservoir volume between the two WLs. However, the accuracy of this method depends on the ability to capture the water spread areas at fine increments of WLs so that the cross section of a reservoir is represented in adequate detail. In a monsoon climate, persistent cloud cover during the rainy season limits the number of usable optical satellite images. Hence, the time interval between two successive WLs for which cloud-free images are available is generally large. Using only a few WLs increases the likelihood of missing a significant break of slope in the reservoirs that may lead to gross error in the storage measurement. We showed that the combination of freely available optical (e.g., Landsat 8) and cloud-penetrating microwave [e.g., European Space Agency (ESA) Sentinel-1] images may improve storage estimation and mitigate the inherent uncertainty of using remote sensing data for monitoring reservoir sedimentation. Three reservoirs in the Upper Godavari Basin in India constituted the study area. Findings show that the average annual sedimentation rate was overestimated by ∼10% when using only Landsat-8 images compared to combined radar and optical remote sensing databases (2016 and 2017). The suggested method made significant improvements in the estimation of reservoir capacities for narrow-bottomed and convex-edged reservoirs.Practical ApplicationsThe capacity of a reservoir is typically monitored on a periodic basis as a means of determining the reservoir’s overall health. This is a common application of satellite imagery. Satellite images are used to determine the volume of water stored in a reservoir by analyzing the relationship between two water levels and the area covered by the water. The greater the difference between the two water levels, the less precise this measurement will be. Under monsoon climate, cloud cover prevents the use of optical images during the rainy season when reservoir levels fluctuate greatly. Because there are fewer water levels to choose from due to the lack of images, the accuracy of the estimate suffers. Using three reservoirs in the monsoon region of peninsular India, this study shows that combining optical data from satellites like Landsat-8 with publicly available cloud-penetrating Sentinel-1 radar images greatly increases the number of water spread area–water level data points and decreases the error and uncertainty in the storage estimation. Based on our findings, it appears that the reported rate of capacity loss, derived from limited optical images, is likely to be inaccurate. The authors also found that the storage estimates of the narrow-bottomed conical-shaped reservoirs will be greatly improved by increasing the number of water levels in volume calculation.","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":"182 12","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134956960","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 : 2023-10-01DOI: 10.1061/jhyeff.heeng-6005
Riley Post, F. Quintero, W. Krajewski
{"title":"Evaluating the Efficacy of Actively Managed Distributed Storage Systems for Peak Flow Reduction Using Spatially Uniform Design Storms","authors":"Riley Post, F. Quintero, W. Krajewski","doi":"10.1061/jhyeff.heeng-6005","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-6005","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49418607","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 : 2023-10-01DOI: 10.1061/jhyeff.heeng-5978
Manotosh Kumbhakar, Christina W. Tsai, Vijay P. Singh
{"title":"Improved Velocity Profile in Open Channels Using Incomplete Information–Based Entropy Theory","authors":"Manotosh Kumbhakar, Christina W. Tsai, Vijay P. Singh","doi":"10.1061/jhyeff.heeng-5978","DOIUrl":"https://doi.org/10.1061/jhyeff.heeng-5978","url":null,"abstract":"","PeriodicalId":54800,"journal":{"name":"Journal of Hydrologic Engineering","volume":" ","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43039881","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：