Journal of Hydro-environment Research最新文献

{"title":"Evaluation of meteorological drought and its characteristics in Northern Thailand from 1980 to 2016","authors":"Muhammad Farhan Ul Moazzam ,&nbsp;Ghani Rahman ,&nbsp;Sanghyun Kim ,&nbsp;Hyun-Han Kwon ,&nbsp;Nurullayev Mirolim Nosirovich","doi":"10.1016/j.jher.2025.100681","DOIUrl":"10.1016/j.jher.2025.100681","url":null,"abstract":"<div><div>Meteorological drought is characterized by prolonged periods of below-average precipitation and is a major environmental hazard that significantly affects agriculture, water resources and ecosystems. Drought assessment and understanding its patterns are important for effective water management and risk mitigation. This study aims to assess the spatiotemporal variability and characteristics of meteorological drought in Northern Thailand from 1980 to 2016, using precipitation and temperature data from 22 meteorological stations provided by the Thai Meteorological Department (TMD). We used the Standardized Precipitation Evapotranspiration Index (SPEI) to identify drought events and analyze their trends using Spearman’s Rho test. Additionally, we applied Run theory to quantify drought characteristics, including duration, severity and intensity. The novelty of this study lies in its comprehensive approach, integrating long-term climate data with advanced statistical methods to assess the impact of rising temperatures on drought frequency. The results revealed significant increasing trend in mean, minimum, and maximum temperatures across most meteorological stations, contributing to frequent drought events. Notably, severe droughts were observed during 1982–1983, 1986–1987, 1991–1993, 1997–1998, 2004–2005, 2009, and 2014–2016. Thus, these SPEI analysis highlights the growing influence of temperature-driven evapotranspiration which lead to soil moisture loss and crop failure. The insights from this study emphasizes on the need of proactive drought risk management and adaptation strategies particularly for agriculture sector. Future research should focus on assessing the socio-economic impacts of drought and developing predictive models for improved mitigation planning.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"62 ","pages":"Article 100681"},"PeriodicalIF":2.3,"publicationDate":"2025-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145221731","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effect of a nonbuoyant submerged transverse jet on bend secondary circulation","authors":"H.K. Schreiner,&nbsp;C.D. Rennie,&nbsp;A. Mohammadian","doi":"10.1016/j.jher.2025.100671","DOIUrl":"10.1016/j.jher.2025.100671","url":null,"abstract":"<div><div>The system of an effluent jet discharged upstream of a sharp open channel bend is investigated using large eddy simulations and particle image velocimetry. Without the jet, three distinct sub-cells of secondary circulation are distinguished by clustering instantaneous vortices: one at the inner bank, which is a characteristic of sharp bends; one in the center; and a counter-rotating outer bank cell. Upon addition of a nonbuoyant submerged transverse jet, the outer bank cell vanishes for a low momentum jet and is driven earlier in the bend for a high momentum jet, the bend’s circulation strength is redistributed from the inner bank cell to the center cell, and the development locations of the secondary circulation cells are shifted toward the inner bank. The inner bank cell develops later, and its development region is constrained to be closer to the inner bank. The center cell develops earlier in the bend, and its development region encompasses the jet vortices. The momentum of the jet influences the distribution of effluent, both by increasing mixing with higher momentum and by advection through the jet-affected secondary circulation.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"62 ","pages":"Article 100671"},"PeriodicalIF":2.3,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145107911","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A conceptual framework for impact assessment of anthropogenic activities on drought propagation","authors":"Muhammad Laraib ,&nbsp;Muhammad Waseem ,&nbsp;Mudassar Iqbal ,&nbsp;Jiaqing Xiao ,&nbsp;Tao Yang ,&nbsp;Pengfei Shi ,&nbsp;Waqas Ul Hussan ,&nbsp;Muhammad Atiq Ur Rehman Tariq","doi":"10.1016/j.jher.2025.100680","DOIUrl":"10.1016/j.jher.2025.100680","url":null,"abstract":"<div><div>This research addresses a critical gap in understanding the complex relationship between anthropogenic activities and drought propagation, acknowledging the growing global concern over water scarcity. It aims to enhance the understanding of anthropogenic drivers influencing drought dynamics by proposing a conceptual framework for assessing their impacts. The proposed framework encompasses hydrological modeling using the SWAT model during both disturbed and undisturbed periods, as well as assessments of meteorological and hydrological droughts. Additionally, it includes a probabilistic analysis utilizing a copula-based approach to evaluate drought propagation probabilities and an assessment of the impacts of anthropogenic activities. The performance of the SWAT model, evaluated using Nash-Sutcliffe Efficiency (NSE) and the Coefficient of determination (R²), yielded values of 0.84 and 0.86 during calibration, and 0.81 and 0.80 during validation. Additionally, the Pettitt test, used to identify streamflow change points, indicated distinct periods of undisturbed and disturbed conditions. Analysis of the Streamflow Drought Index (SDI) revealed that 25.77% of the undisturbed period experienced mild drought, 9.39% moderate drought, and 3.13% severe drought. In contrast, the disturbed period saw 41.67% mild drought, 11.76% moderate drought, and 7.35% severe drought. Moreover, the analysis of drought propagation time revealed that anthropogenic activities significantly influenced variations in hydrological drought (HD) and meteorological drought (MD) during the propagation of HD. The undisturbed period displayed a 46% increase in meteorological drought thresholds and severity levels, while the disturbed period exhibited more substantial variations, ranging from 3% to 64%. These findings have significant real-world implications, highlighting that anthropogenic activities intensify drought risks and alter the natural patterns of drought propagation. Overall, the insights gained from this study can support the development of evidence-based policies and adaptive management practices that enhance drought preparedness and resilience in regions vulnerable to water scarcity.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"62 ","pages":"Article 100680"},"PeriodicalIF":2.3,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145057226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Field monitoring and modelling of sediment transport, hydraulics and hydroabrasion at Sediment Bypass Tunnels”. [J. Hydro-Environ. Res. 55 (2024) 1–19]","authors":"Ismail Albayrak ,&nbsp;Romeo Arnold ,&nbsp;Dila Demiral ,&nbsp;Mohammadreza Maddahi ,&nbsp;Robert M. Boes","doi":"10.1016/j.jher.2025.100669","DOIUrl":"10.1016/j.jher.2025.100669","url":null,"abstract":"","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"60 ","pages":"Article 100669"},"PeriodicalIF":2.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “Streamflow forecasting in ungauged basins with CNN-LSTM and radar-based precipitation” [J. Hydro-environ. Res. 60–61 (2025) 100666]","authors":"Jeonghun Lee ,&nbsp;Eun-Sung Chung ,&nbsp;Soohyun Kim ,&nbsp;Dongkyun Kim","doi":"10.1016/j.jher.2025.100667","DOIUrl":"10.1016/j.jher.2025.100667","url":null,"abstract":"","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"60 ","pages":"Article 100667"},"PeriodicalIF":2.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145010042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Bypassing efficiency evaluation and optimization of sediment bypass tunnel operation in a narrow reservoir using 1D numerical modelling","authors":"Sudesh Dahal,&nbsp;Robert M. Boes,&nbsp;Frederic M. Evers,&nbsp;Ismail Albayrak,&nbsp;David F. Vetsch","doi":"10.1016/j.jher.2025.100668","DOIUrl":"10.1016/j.jher.2025.100668","url":null,"abstract":"<div><div>Sediment Bypass Tunnels (SBTs) are hydraulic structures designed to mitigate reservoir sedimentation, mainly used in Switzerland, Japan, and Taiwan. The SBT efficiency depends on multiple factors including the incoming sediment yield, SBT inlet location, reservoir water level, and the timing of SBT operation relative to a flood event. To evaluate bypassing efficiency and optimize SBT operation, a methodology is developed to integrate sediment bypassing processes in a 1D numerical model for simulating the sedimentation dynamics under varying hydraulic conditions. The well-monitored case of the Solis reservoir in Switzerland with SBT operation serves as a good basis for this study. After calibrating and validating the model with the field data, three different categories of SBT operation scenarios are studied for a 5-year flood event: i) no SBT operation, ii) the effect of reservoir water level during SBT operation, and iii) the optimum duration of SBT operation. The simulations reveal that SBT operation is highly effective in reducing the amount of sedimentation by 89% compared to no SBT operation. This equals to the prevention of a 9% loss in active storage volume. However, the SBT efficiency is highly sensitive to reservoir operation. A maximum efficiency is achieved at a lower reservoir water level below the minimum operating level for energy generation, while it also releases higher sediment concentrations to the downstream reach. Furthermore, a longer duration of SBT operation increases the bypassing efficiency and minimizes the loss of active storage volume but goes along with a reduction in hydropower generation. Thus, a comparison of net benefits for different scenarios is suggested to derive an optimal SBT operation mode for similar situations. Overall, the applied methodology serves as a useful basis for evaluating and optimising the sediment management efficiency of SBTs and can thus contribute to improving the sustainable operation of reservoirs.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"60 ","pages":"Article 100668"},"PeriodicalIF":2.4,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144633506","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The characterization and prediction of the indirect cumulative effects on ecological indicators in arid watersheds","authors":"Jing Wang ,&nbsp;Guotao Dong ,&nbsp;Lianqing Xue ,&nbsp;Chenguang Xiang","doi":"10.1016/j.jher.2025.100670","DOIUrl":"10.1016/j.jher.2025.100670","url":null,"abstract":"<div><div>The stability of ecosystems fundamentally depends on dynamic and mutualistic relationships among various ecological processes. However, comprehensive insights into the spatiotemporal dynamics of these processes, particularly their cumulative effects in space, remain insufficiently developed. This study systematically analyzed key ecological indicators in the arid Tarim River Basin (TRB) of northwestern China from 2000 to 2020. Key ecological indicators analyzed included Leaf Area Index (LAI), Gross Primary Productivity (GPP), Evapotranspiration (ET), and Water Use Efficiency (WUE), collected through remote sensing, field observations, and model prediction. The results revealed the dynamic interactions between surface ecological factors and soil indicators, emphasizing the influence of ecological-hydrological relationships on water resource management and overall ecosystem health. The influences of tributaries on the mainstream occurred within a 20 to 150-day time lag, presenting both positive and negative feedback effects. Furthermore, when the average tributary WUE surpassed 1.06, it was sustained for 1 to 2 months, accompanied by a marked increase in the mainstream’s WUE. Significant positive indirect cumulative effects were observed for LAI (0.27), total vegetation GPP (0.1875), ET (0.345), and soil moisture content (0.419). The results emphasize the effectiveness of multiple linear regression models in simulating ecological parameters within the mainstream of the TRB. This study advances the knowledge of ecosystem dynamics in arid environments and offers critical guidance for sustainable water resource management in the TRB and similar regions globally.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"60 ","pages":"Article 100670"},"PeriodicalIF":2.3,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144902368","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Streamflow forecasting in ungauged basins with CNN-LSTM and radar-based precipitation","authors":"Jeonghun Lee ,&nbsp;Eun-Sung Chung ,&nbsp;Soohyun Kim ,&nbsp;Dongkyun Kim","doi":"10.1016/j.jher.2025.100666","DOIUrl":"10.1016/j.jher.2025.100666","url":null,"abstract":"<div><div>Predicting high-resolution streamflow in ungauged basins remains a fundamental challenge in hydrology. This study addresses this challenge by developing a novel dual-stream CNN-LSTM architecture that separately processes dynamic meteorological inputs and static watershed characteristics to capture complex spatiotemporal hydrological processes. The model was evaluated across 35 natural watersheds in South Korea using 1 km resolution radar-based precipitation and watershed data at 10-minute intervals. Our approach achieved a mean Nash-Sutcliffe Efficiency of 0.59 (±0.12), significantly outperforming both non-CNN and lumped baseline models. Flow regime analysis revealed consistent improvements across all flow conditions, though challenges in peak flow prediction remain. Water balance analysis demonstrated improved physical consistency compared to lumped model. Statistical analysis identified hydrological variability as the primary performance-limiting factor, while input sensitivity testing confirmed flow accumulation raster data as the most critical spatial variable. Through controlled experiments, we demonstrated that the model can capture fundamental hydrological processes and physically plausible spatial runoff patterns, even without being given explicit information about the underlying physical phenomena.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"60 ","pages":"Article 100666"},"PeriodicalIF":2.4,"publicationDate":"2025-05-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systematic interrogation area optimization in large-scale particle image velocimetry using information entropy","authors":"Hao-Che Ho,&nbsp;Cheng-Wei Wu,&nbsp;Yen-Cheng Lin","doi":"10.1016/j.jher.2025.100665","DOIUrl":"10.1016/j.jher.2025.100665","url":null,"abstract":"<div><div>This study introduces an Information Entropy-based method for determining optimal Interrogation Area (IA) size in Large-Scale Particle Image Velocimetry (LSPIV), a crucial factor for enhancing non-contact surface flow measurement accuracy. By analyzing entropy in particle images across variable IA sizes, we assessed 48 synthetic and 2 experimental flow scenarios. The method demonstrated superior accuracy, achieving Vector Correlation Coefficients up to 1.916 and Root Mean Square Errors as low as 1.113 and 2.444 pixels/frame in synthetic cases, and accuracy rates of 90.89% and 97.23% in experimental cases, rivaling traditional empirical approaches. Incorporation of surrounding pixel intensity data resulted in a 48–52% improvement in particle information quantification. Expanding the range of IA sizes from 5 to 8 significantly reduced measurement errors to below 0.7 and 1.0 pixels/frame. These findings suggest that the Information Entropy method offers a robust framework for systematic optimization of IA selection in LSPIV, promising enhanced measurement accuracy through further refinement of convergence criteria and noise reduction techniques.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"60 ","pages":"Article 100665"},"PeriodicalIF":2.4,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144067937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Large-scale high-resolution hydrodynamic modelling of urban floods: Some practical considerations","authors":"Xiaodong Ming ,&nbsp;Qiuhua Liang ,&nbsp;Jinghua Jiang","doi":"10.1016/j.jher.2025.100655","DOIUrl":"10.1016/j.jher.2025.100655","url":null,"abstract":"<div><div>The last few years have witnessed a series of catastrophic urban flood events across the world. This type of extreme events has become more frequent due to climate change. Numerical modelling provides an indispensable means to support flood risk assessment and management. Simulation of the highly transient flood dynamics induced by intense rainfall requires the use of high-resolution hydrodynamic models. Accurate flood prediction needs proper representation of infiltration and drainage processes in complex urban environments, which requires high-quality soil and drainage data that are not widely available. This paper considers these challenges and explores practical approaches to integrate a high-performance hydrodynamic model with high-resolution topography data and crowd-sourced flood observations to address data gaps and support real-time simulation of urban flooding. The model is applied to reproduce a real-world flood event in the 400 km² Tyneside metropolitan region in the UK at a 2 m resolution, with solution accuracy confirmed by crowd-sourced data. Different simulation strategies are implemented to reflect the impact of infiltration and drainage on surface flooding. It is demonstrated that infiltration and drainage capacity may be considered using conceptualised mass loss parameters, which produces better results than direct reduction to the rainfall rate. Such an approach offers a practical solution to support high-resolution urban flood modelling in large cities, particularly when essential drainage and soil data are not available.</div></div>","PeriodicalId":49303,"journal":{"name":"Journal of Hydro-environment Research","volume":"59 ","pages":"Article 100655"},"PeriodicalIF":2.4,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143868972","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}