Journal of Hydrology-Regional Studies最新文献_第9页

Multi-source meteorological data assessment on daily runoff simulation in the upper reaches of the Hei River, Northwest China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102100

Huazhu Xue , Yaheng Wang , Guotao Dong , Chenchen Zhang , Yaokang Lian , Hui Wu

{"title":"Multi-source meteorological data assessment on daily runoff simulation in the upper reaches of the Hei River, Northwest China","authors":"Huazhu Xue , Yaheng Wang , Guotao Dong , Chenchen Zhang , Yaokang Lian , Hui Wu","doi":"10.1016/j.ejrh.2024.102100","DOIUrl":"10.1016/j.ejrh.2024.102100","url":null,"abstract":"<div><h3>Study region</h3><div>The upper reaches of the Hei River Basin, northwest China</div></div><div><h3>Study focus</h3><div>To improve the accuracy and physical consistency of runoff simulations, as well as to compare the applicability of meteorological data obtained from multiple sources, this study integrates physical mechanisms with deep learning methods to construct a coupled model, HIMS-LSTM. Considering the impact of meteorological data on runoff simulation and prediction, meteorological station observation data, ERA5 data and CFSv2 data were obtained for runoff simulation and prediction. This approach enables the assessment of the applicability of meteorological data obtained from three different sources.</div></div><div><h3>New hydrological insights for the region</h3><div>The HIMS-LSTM model leverages physical mechanisms to compensate for the lack of physical knowledge in data-driven models. Consequently, the accuracy and physical consistency of runoff simulation results are significantly improved compared to the single models HIMS and LSTM. Furthermore, a comparative assessment of simulation results based on multi-source meteorological data demonstrates that daily runoff simulations using meteorological station observation data yield the best results, indicating the highest applicability of this data source. The constructed coupled HIMS-LSTM model provides some insight into the simulation and prediction of daily runoff. Furthermore, this study provides a valuable reference for selecting suitable meteorological data sources for runoff simulation and prediction.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102100"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spatial and depth distribution of salinity and nitrate in a depleted alluvial aquifer (Haouz plain, Morocco)

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102143

Hamza Sahraoui , Younes Fakir , Houssne Bouimouass , Sarah Tweed , Marc Leblanc , Rabia Benaddi , Abdelghani Chehbouni

{"title":"Spatial and depth distribution of salinity and nitrate in a depleted alluvial aquifer (Haouz plain, Morocco)","authors":"Hamza Sahraoui , Younes Fakir , Houssne Bouimouass , Sarah Tweed , Marc Leblanc , Rabia Benaddi , Abdelghani Chehbouni","doi":"10.1016/j.ejrh.2024.102143","DOIUrl":"10.1016/j.ejrh.2024.102143","url":null,"abstract":"<div><div>Understanding groundwater contamination processes in depleted aquifers is needed to improve their integrated management. The present study aims to understand how the conditions prevailing in a depleting detritic unconfined aquifer could affect the salinity and nitrate contamination. The depletion has caused a shift in our alluvial aquifer from dominant very shallow groundwater (< 20 m) in the 1970s to dominant deep groundwater (> 40 m) currently. It was found that (i) groundwater was moderately affected by salinity and nitrate, (ii) the dominant hydrochemical factors are rock weathering, halite dissolution, and reverse ion exchange, and (iii) the nitrate contamination is higher in shallow groundwater but it was detected at all depths. The thick unsaturated zone, which has developed because of the decline of the water table, would have mitigated the surface-borne contamination and reduced the direct effects of evapotranspiration. Using tritium as age indicator, it was suggested that nitrate in deep groundwater could originate from a historical use of fertilizers. In addition, vertical flows induced by decreasing water-table from pumping could transport younger groundwater with high loads of nitrate to mix with older deep groundwater with low nitrate. Serious problems could arise from further mobilization of salts by pumping deep groundwater and from the effects of downward movement of contaminants accumulated in the thick unsaturated zone after sufficient migration time or increases in groundwater recharge rates.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102143"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Synchronicity analysis of meteorological variables on agricultural drought in the Loess Plateau, China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102176

Fang Liu , Hongbo Zhang , Yihang Li , Zhiyuan Ning , Shuai Hao

{"title":"Synchronicity analysis of meteorological variables on agricultural drought in the Loess Plateau, China","authors":"Fang Liu , Hongbo Zhang , Yihang Li , Zhiyuan Ning , Shuai Hao","doi":"10.1016/j.ejrh.2024.102176","DOIUrl":"10.1016/j.ejrh.2024.102176","url":null,"abstract":"<div><h3>Study region</h3><div>This study focuses on the Wuding River Basin, located in the middle reaches of the Yellow River Basin in China.</div></div><div><h3>Study focus</h3><div>Event Synchronization (ES) and Event Coincidence Analysis (ECA) were used to investigate the spatiotemporal co-evolution of the multi type of meteorological variable drought (SIMVs) and SSMI in the basin, including the precursor and triggering effect of SIMVs on agricultural drought and the occurrence and development of different levels of agricultural drought events under meteorological variable disturbance.</div></div><div><h3>New hydrological insights for the region</h3><div>In the precursor-and-trigger analysis of ECA, SWI was the main precursor and trigger factor for mild agricultural drought and SPI for moderate and severe drought. The precursor coincidence rate is higher than the trigger coincidence rate, suggesting that not all precursory SIMV events cause agricultural drought. All precursory and triggering effects diminish as the observation time window rises, demonstrating that SIMV has a bigger impact on low-grade agricultural drought. SPI caused 26.86 % of agricultural drought, whereas coupled SIMVs triggered it. The synchronization analysis shows that the lag times for SPI, STI, SWI, and SNR early warnings of drought are 65.7 days, 60.5 days, 52.8 days, and 55.8 days, respectively. The lag times for SIMV triggers are 61.8 days, 53.7 days, 48.4 days, and 53 days.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102176"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Counterfactual analysis of extreme events in urban flooding scenarios

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102166

Xiaolan Chen , Hongtao Li , Haijun Yu , Enguang Hou , Sulin Song , Hongjian Shi , Yikai Chai

{"title":"Counterfactual analysis of extreme events in urban flooding scenarios","authors":"Xiaolan Chen , Hongtao Li , Haijun Yu , Enguang Hou , Sulin Song , Hongjian Shi , Yikai Chai","doi":"10.1016/j.ejrh.2024.102166","DOIUrl":"10.1016/j.ejrh.2024.102166","url":null,"abstract":"<div><h3>Study region</h3><div>Jinan City, Shandong Province, China.</div></div><div><h3>Study focus</h3><div>Applied the counterfactual method, using three extreme rainfall events, to simulate the flood risk. Scenario 1 and Scenario 2 were based on actual events that occurred in Zhengzhou City, and Scenario 3 was constructed using design patterns with return periods of 100-year, 200-year and 500-year. Utilizing a 1D-2D coupled hydrodynamic numerical model to simulate the flood inundation under these scenarios.</div></div><div><h3>New hydrological insights for the region</h3><div>The inundation area in Jinan under Scenario 1 was reduced compared to the actual in Zhengzhou, but the average flood depth was higher. Furthermore, the distribution pattern of flood depth remained consistent across all three scenarios. Notably, in Scenario 1, the flood depths exceed a 500-year event, while the area of inundation is less than a 100-year event. However, in Scenario 2, the flood depths and area of inundation both exceeded a 500-year event. The outcomes highlight that the differing spatial distributions of terrains among different cities, even under the same rainfall scenario, elicit varying hydrological responses, which significantly affect the distribution of flood hazards. The intensity of rainfall and its spatiotemporal distribution patterns profoundly influence the extent of the inundated areas and depths. This study provides valuable insights for urban hydrology and flood risk management, helping to enhance the resilience of urban areas in responding to extreme weather events.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102166"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153975","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102138

Mohammed Benaafi , Waleed M. Hamanah , Ebrahim Al-Wajih

{"title":"Modelling the Isotope composition of groundwater using hydrochemical properties in eastern Saudi Arabia: Implementation of innovative data intelligence techniques","authors":"Mohammed Benaafi , Waleed M. Hamanah , Ebrahim Al-Wajih","doi":"10.1016/j.ejrh.2024.102138","DOIUrl":"10.1016/j.ejrh.2024.102138","url":null,"abstract":"<div><h3>Study region</h3><div>Al-Qatif coastal region in eastern Saudi Arabia is an arid region with limited surface water resources and vulnerable to seawater intrusion.</div></div><div><h3>Study focus</h3><div>The study focused on modelling and prediction of the isotope composition (δ¹⁸O and δ²H) of coastal groundwater using Artificial Intelligence (AI) models utilizing readily available groundwater hydrochemical dataset. The study aims to understand the geochemical evolution of groundwater and the impact of seawater intrusion on arid coastal environment.</div></div><div><h3>New hydrological insight for the region</h3><div>Eight AI algorithms (KNN, SVR, RF, ET, Bag, AdaBt, GRB, and CAT) and stacking ensemble models were developed to predict the δ¹ ⁸O and δ²H isotopes of the groundwater using a dataset of physicochemical parameters, ions and elements, and isotopes from 47 wells. The study shows that the stacking ensemble models outperformed individual algorithms. The optimum model for δ¹ ⁸O (O_M1) was achieved with R² of 0.9858, MAE of 0.0440, and Pearson correlation of 0.9941. for δ²H the optimal model (H_M1) was achieved with R² of 0.9317, MAE of 0.5334, and Pearson correlation of 0.9658. The significant relationship between hydrochemical parameters and isotopic composition indicate that the variation in groundwater chemistry is mostly associated with mixing processes, primarily driven by seawater intrusion in the coastal region. The study demonstrates the potential of AI-based models to predict the isotopic signature and groundwater dynamics in similar coastal arid environments.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102138"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Improving ecological water diversion process to promote oasis restoration using a monthly conceptual lumped ecohydrological model: A case study of the Qingtu Oasis, China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102158

Feng Huang , Yiping Li , Carlos G. Ochoa , Jisheng Li

{"title":"Improving ecological water diversion process to promote oasis restoration using a monthly conceptual lumped ecohydrological model: A case study of the Qingtu Oasis, China","authors":"Feng Huang , Yiping Li , Carlos G. Ochoa , Jisheng Li","doi":"10.1016/j.ejrh.2024.102158","DOIUrl":"10.1016/j.ejrh.2024.102158","url":null,"abstract":"<div><h3>Study region</h3><div>Qingtu Oasis, Shiyang River Basin, Northwest China.</div></div><div><h3>Study focus</h3><div>Improving the Ecological Water Diversion (EWD) process is crucial for promoting recovering terminal oases in arid inland basins. This research developed a Monthly Conceptual Lumped Ecohydrological Model (MCLEM) by integrating the surface water and groundwater balance, ecological response, and evapotranspiration equations. The MCLEM coupling with the scenario simulation effectively depicted the oasis’s intra-annual ecohydrological dynamics responding to various EWD processes under wet, regular, and dry meteorological conditions, implying for designing a rational EWD strategy achieving optimal ecological benefits regarding a larger oasis area and higher vegetation coverage.</div></div><div><h3>New hydrological insights for the region</h3><div>Given the total volume of 30 million m<sup>3</sup>, the current EWD of 10 million m<sup>3</sup> each month during the second half of the vegetation growing season recovered the Qingtu Oasis to an average peak oasis area of 16.90 km<sup>2</sup> and an average peak vegetation coverage of 15.90 % under various meteorological conditions. Comparatively, the EWD of 5 million m<sup>3</sup> each month during the entire vegetation growing season could produce an average peak oasis area of 20.17 km<sup>2</sup> and an average peak vegetation coverage of 18.59 %. Comparing the ecological benefits resulting from different EWD scenarios suggested adjusting the EWD process from transferring water during the second half of the vegetation growing season to transferring water during the entire vegetation growing season.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102158"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2025.102218

Huazhu Xue , Chaoqiang Guo , Guotao Dong , Chenchen Zhang , Yaokang Lian , Qian Yuan

{"title":"Prediction of runoff in the upper reaches of the Hei River based on the LSTM model guided by physical mechanisms","authors":"Huazhu Xue , Chaoqiang Guo , Guotao Dong , Chenchen Zhang , Yaokang Lian , Qian Yuan","doi":"10.1016/j.ejrh.2025.102218","DOIUrl":"10.1016/j.ejrh.2025.102218","url":null,"abstract":"<div><h3>Study region</h3><div>The upper reaches of the Hei River.</div></div><div><h3>Study focus</h3><div>To improve the accuracy, interpretability and physical consistency of LSTM models for predicting streamflow, we have constructed a physically dominant loss function in the LSTM model based on the monotonic physical mechanism of rainfall-runoff in the water balance. The new model (physics-guided LSTM model, PG-LSTM) was applied to predict streamflow in the upper reaches of the Hei River, and its accuracy and physical consistency in streamflow prediction were analyzed.</div></div><div><h3>New hydrological insights for the region</h3><div>The PG-LSTM model was successfully applied to the upper reaches of the Hei River, and the accuracy was evaluated by the Nash–Sutcliffe efficiency coefficient, root mean square error and Pearson correlation coefficient. The physical consistency of the model was evaluated by the volume error, relative error, and peak flow relative difference. The results showed that the PG-LSTM model had higher accuracy and physical consistency than the traditional LSTM model. The fitting accuracy between the measured and predicted values was 0.97, which is higher than that of the traditional LSTM model (0.89). In addition, the closer the subbasin was to the outlet of the basin, the better the effect of the PG-LSTM model. This model improvement method demonstrated high streamflow prediction accuracy and interpretability, providing a scientific basis for water resource planning and management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"58 ","pages":"Article 102218"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143183587","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of the sedimentation and trapping efficiency in dam reservoirs by applying the settling basin framework

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102172

Bérenger Koffi , Koffi Eugène Kouakou , Alexis Loukou Brou , Martin Sanchez , Ouédé Gla Blaise , Brice Wawogninlin Coulibaly , Franck Hervé Akaffou , Michal Habel , Amani Michel Kouassi , Dibi Brou , Kouakou Lazare Kouassi

{"title":"Assessment of the sedimentation and trapping efficiency in dam reservoirs by applying the settling basin framework","authors":"Bérenger Koffi , Koffi Eugène Kouakou , Alexis Loukou Brou , Martin Sanchez , Ouédé Gla Blaise , Brice Wawogninlin Coulibaly , Franck Hervé Akaffou , Michal Habel , Amani Michel Kouassi , Dibi Brou , Kouakou Lazare Kouassi","doi":"10.1016/j.ejrh.2024.102172","DOIUrl":"10.1016/j.ejrh.2024.102172","url":null,"abstract":"<div><h3>Study region</h3><div>The investigated object is the Lobo Dam reservoir, located in the south part of the Lobo River Basin in west-central Côte d’Ivoire, West Africa.</div></div><div><h3>Study focus</h3><div>Dam reservoirs in tropical climates face rapid siltation and eutrophication challenges, necessitating new analytical solutions to understand their capacity to trap sediment inputs. This study presents a hydrosedimentary mathematical model based on the theory of settling basins and Gamma Law approaches to describe the settling velocity of suspended solids. Using field data from the Lobo River reservoir in Côte d′Ivoire.</div></div><div><h3>New hydrological insights for the region</h3><div>The analysis shows that the reservoir's trapping capacity is influenced by settling velocity, critical velocity, shape parameter 1/r, and the Peclet number (Pe). The study found strong synchronization between models for constant settling velocity (CV-NT, CV-CM, CV-Teeter (1986)) and variable settling velocity (VV-NT, VV-CM) with Teeter’s (1986) model. This agreement validates the proposed models. However, for Pe > 4, the numerical values and curves fall outside the validity range of Teeter’s (1986) model, particularly during dry periods.</div><div>The findings provide crucial insights into the hydrosedimentary dynamics of the Lobo River reservoir, emphasizing the need to account for seasonal variations and hydrological conditions. This research offers valuable guidance for sediment and water resource management, contributing to the sustainability of reservoirs in tropical regions facing similar environmental pressures.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102172"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Hydrologic response and prediction of future water level changes in Qinghai Lake of Tibet Plateau, China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102168

Haibin Wang , Jiahong Liu , Zhuoran Luo , Sana Nazli , Lu Shi

{"title":"Hydrologic response and prediction of future water level changes in Qinghai Lake of Tibet Plateau, China","authors":"Haibin Wang , Jiahong Liu , Zhuoran Luo , Sana Nazli , Lu Shi","doi":"10.1016/j.ejrh.2024.102168","DOIUrl":"10.1016/j.ejrh.2024.102168","url":null,"abstract":"<div><h3>Study region</h3><div>The Qinghai Lake basin (QLB)</div></div><div><h3>Study focus</h3><div>The lake system of the Qinghai-Tibet Plateau is a crucial component of the global ecosystem. Global warming has significantly altered its water levels. To comprehensively analyze the changes in Qinghai Lake's water level and forecast its future trends, this study employs the hydrothermal coupling equilibrium theory to quantify the impact of various climate change factors. Furthermore, it incorporates CMIP6 global climate model, utilizing the Digital Watershed Model to simulate future runoff. The future water level trends of Qinghai Lake are predicted in this study using multiple regression model, allowing for the estimation of its future inundation area.</div></div><div><h3>New hydrological insights for the region</h3><div>The results showed that the contributions of precipitation, evaporation and underlying surface factors to the water inflow into Qinghai Lake contribute to 76.52 %, 13.97 % and 9.51 %. Notably, the QLB has experienced a progressive warming and humidification, leading to expectations of a rise in lake's water level to 3202.64 m by the year 2050. This rise will result in the expansion of the submerged area, primarily concentrated in proximity to the alluvial plains. Furthermore, it will have implications for approximately 2.8 km of the Qinghai-Tibet Railway tracks. This study reveals hydrological responses of the lake to climate change and forecasts future water level trends, offering valuable insights into regional evolution and associated environmental implications.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102168"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152562","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-02-01 DOI: 10.1016/j.ejrh.2024.102156

Jun Wu , Jiangang Xu , Muqiu Lu , Haolin Ming

{"title":"An integrated modelling framework for optimization of the placement of grey-green-blue infrastructure to mitigate and adapt flood risk: An application to the Upper Ting River Watershed, China","authors":"Jun Wu , Jiangang Xu , Muqiu Lu , Haolin Ming","doi":"10.1016/j.ejrh.2024.102156","DOIUrl":"10.1016/j.ejrh.2024.102156","url":null,"abstract":"<div><h3>Study regions</h3><div>This study focuses on the Upper Ting River Watershed (UTRW) in the Ting River Basin, China.</div></div><div><h3>Study focus</h3><div>The study investigates the adverse impacts of urbanization and land-use change on hydrology, proposing the implementation of grey-green-blue infrastructure (GGBI) practices to mitigate these effects. An integrated modeling framework is developed to optimize the placement of GGBI, demonstrated through a case application in the UTRW.</div></div><div><h3>New hydrological insights for the region</h3><div>（1）The proposed modeling framework is highly effective in identifying key nodes and corridors for stormwater processes and flood inundation at both the watershed and city levels. It guides the reconstruction of GGBI spatial patterns at the watershed level and optimizes GGBI placement at the city level.</div><div>（2）In the central city, flooding covers an area of 8.44 km², or 18.53 % of the total area, with average flood depths of 0.99 m and maximum depths reaching 1.69 m. Areas most suitable for GGBI construction are located along the Ting River, showing clear continuity and concentration in the central city and Xinqiao Town.</div><div>（3）The optimized placement of GGBI, based on the SWMM model and non-dominated sorting genetic algorithm (NSGA-III), effectively reduces flood damage. Multi-objective optimization solutions outperform alternatives in terms of runoff reduction, pipeline overload duration, and construction costs.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"57 ","pages":"Article 102156"},"PeriodicalIF":4.7,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152563","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0