Hydrology Research最新文献

Using Landsat 8/9 Thermal Bands to Detect Potential Submarine Groundwater Discharge (SGD) Sites in the Mediterranean in North West-Central Morocco 利用Landsat 8/9热带探测摩洛哥西北部地中海地区潜在的海底地下水排放（SGD）点

4区环境科学与生态学

Hydrology Research Pub Date : 2025-06-10 DOI: 10.3390/hydrology12060144

Youssef Bernichi, Mina Amharref, Abdes-Samed Bernoussi, Pierre‐Louis Frison

{"title":"Using Landsat 8/9 Thermal Bands to Detect Potential Submarine Groundwater Discharge (SGD) Sites in the Mediterranean in North West-Central Morocco","authors":"Youssef Bernichi, Mina Amharref, Abdes-Samed Bernoussi, Pierre‐Louis Frison","doi":"10.3390/hydrology12060144","DOIUrl":"https://doi.org/10.3390/hydrology12060144","url":null,"abstract":"The objective of this study is to detect the locations of submarine groundwater discharge (SGD) in the coastal area of the El Jebha region, located in northwestern Morocco. It is hypothesized that this zone is fed by one of the most rain-rich karstic aquifers in Morocco (the Dorsale Calcaire). The region’s geology is complex, characterized by multiple faults and fractures. Thermal remote sensing is used in this study to locate potential SGD zones, as groundwater emerging from karst systems is typically cooler than surrounding ocean water. Landsat satellite imagery was used to assess temperature variations and detect anomalies associated with the presence of freshwater in the marine environment. El Jebha’s geographical location, with a direct interface between limestone and sea, makes it an ideal site for the appearance of submarine groundwater discharges. This study constitutes the first use of Landsat-8/9 thermal-infrared imagery, processed with a multi-temporal fuzzy-overlay method, to detect SGD. Out of 107 Landsat scenes reviewed, 16 cloud-free images were selected. The workflow identified 18 persistent cold anomalies, of which three were classified as high-probability SGD zones based on recurrence and spatial consistency. The results highlight several potential SGD zones, confirming the cost-effectiveness of thermal remote sensing in mapping thermal anomalies and opening up new perspectives for the study of SGD in Morocco, where these phenomena remain rarely documented.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"12 6","pages":"144-144"},"PeriodicalIF":0.0,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147896970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhancing Flood Risk Management: A Review on Numerical Modelling of Past Flood Events 加强洪水风险管理：过去洪水事件数值模拟研究综述

4区环境科学与生态学

Hydrology Research Pub Date : 2025-05-29 DOI: 10.3390/hydrology12060133

José González-Cao, Helena Barreiro-Fonta, Diego Fernández-Nóvoa, Orlando García-Feal

{"title":"Enhancing Flood Risk Management: A Review on Numerical Modelling of Past Flood Events","authors":"José González-Cao, Helena Barreiro-Fonta, Diego Fernández-Nóvoa, Orlando García-Feal","doi":"10.3390/hydrology12060133","DOIUrl":"https://doi.org/10.3390/hydrology12060133","url":null,"abstract":"Recent scientific literature has consistently highlighted a significant increase in both the frequency and intensity of flood events, primarily attributed to the effects of climate change. Projections suggest that this trend will likely intensify in the coming decades. In this context, enhancing our understanding of flooding dynamics becomes not only necessary but urgent. A critical component of this advancement lies in the numerical analysis of historical flood events, which provides valuable insights into flood behaviour across extended temporal and spatial scales. This approach enables two key outcomes: a significant improvement in conventional methods for estimating return periods and a reduction in the uncertainties associated with historical flood events by simulating multiple plausible scenarios to identify the most likely one. This paper presents a comprehensive review of the scientific literature focused on the numerical simulation and reconstruction of past flood events. Two main conclusions emerge from this review: First, the temporal scope of the studies is notably wide, covering events ranging from glacial periods to those occurring in the mid-20th century. Second, there exists a pronounced spatial imbalance in the geographical distribution of these studies, with certain regions significantly underrepresented. This review provides a valuable resource for researchers and practitioners working in flood risk assessment and hydrological modelling. By consolidating existing knowledge, it supports the development and refinement of decision-support tools aimed at improving mitigation strategies to reduce the impact of flooding on both populations and infrastructure.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"12 6","pages":"133-133"},"PeriodicalIF":0.0,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/2306-5338/12/6/133/pdf?version=1748515936","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147916493","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Impacts of Climate Change on Groundwater in the Al-Badan Sub-Catchment, Palestine: Analyzing Historical Data and Future Scenarios 气候变化对巴勒斯坦Al-Badan流域地下水的影响：历史数据和未来情景分析

4区环境科学与生态学

Hydrology Research Pub Date : 2024-10-10 DOI: 10.3390/hydrology11100169

Hamzah Faquseh, Sameer Shadeed, Giovanna Grossi

{"title":"Impacts of Climate Change on Groundwater in the Al-Badan Sub-Catchment, Palestine: Analyzing Historical Data and Future Scenarios","authors":"Hamzah Faquseh, Sameer Shadeed, Giovanna Grossi","doi":"10.3390/hydrology11100169","DOIUrl":"https://doi.org/10.3390/hydrology11100169","url":null,"abstract":"Climate change is significantly impacting water resources, especially in arid regions. This study evaluates its effects on groundwater in the Al-Badan sub-catchment, Palestine, by analyzing hydroclimatic data from 1990 to 2020 and the future predicted climate change scenarios. Using the Mann-Kendall test and Sen’s slope estimator, a significant annual decline in annual precipitation of 125 mm and a temperature increase of 1.84 °C were observed, resulting in a spring discharge reduction of 1.2 MCM. Multiple linear regression analysis showed that a 10% increase in precipitation correlates with a 5% discharge increase, while a 1 °C rise in temperature results in a 2.3% discharge decrease. Future scenarios indicate significant changes: for 2040–2060, RCP2.6 forecasts average precipitation of 334.5 mm with temperatures at 18.5 °C, resulting in spring discharge of about 4.6 MCM. In contrast, RCP4.5 and RCP8.5 predict reductions in precipitation to 307.2 mm and 311.2 mm, respectively, with temperatures rising to 18.9 °C and 19.3 °C, leading to discharge declines to 4.2 MCM and 4.0 MCM. For 2080–2100, RCP2.6 anticipates 335.8 mm of precipitation and temperatures rising to 19.5 °C, resulting in average discharge of 4.5 MCM. RCP4.5 and RCP8.5 predict further declines in precipitation and discharge, underscoring the need for effective water management strategies.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"11 10","pages":"169-169"},"PeriodicalIF":0.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147919663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Prediction of flash flood peak discharge in hilly areas with ungauged basins based on machine learning 基于机器学习的无测站流域丘陵地区山洪暴发峰值预测

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-08-08 DOI: 10.2166/nh.2024.004

Weilin Wang, Guoqing Sang, Qiang Zhao, Yang Liu, Guangwen Shao, Longbin Lu, Mintian Xu

{"title":"Prediction of flash flood peak discharge in hilly areas with ungauged basins based on machine learning","authors":"Weilin Wang, Guoqing Sang, Qiang Zhao, Yang Liu, Guangwen Shao, Longbin Lu, Mintian Xu","doi":"10.2166/nh.2024.004","DOIUrl":"https://doi.org/10.2166/nh.2024.004","url":null,"abstract":"\u0000 \u0000 Peak discharge is an essential element of hydrological forecasting. Due to rapid outbreaks of flash floods in hilly areas and the lack of measured data, the fast and accurate estimation of peak discharge is crucial for flash flood hazard management. Three machine learning algorithms were applied to estimate peak discharge; this estimation was compared with the results of hydrological–hydraulic models, and the results were verified with measured watershed data. In this paper, 10 hydrological and geomorphological parameters were selected to predict the flood peak discharge in 103 watersheds in Taiyi Mountain North District. The results show that the particle swarm optimization backpropagation (PSO-BP) neural network model outperforms the BP neural network and random forest regression in prediction performance. PSO-BP has a lower mean absolute error (2.51%), root mean square error (3.74%), and mean absolute percentage error (2.74%) than the other models, which indicates that PSO-BP has high prediction accuracy. Importance analysis revealed that rainfall, early impact rainfall, catchment area, and rain intensity are the key input parameters of PSO-BP. The proposed method was confirmed to be a fast and relatively accurate algorithm for estimating the peak discharge of flash floods in ungauged basins.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"5 4","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141927904","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Declining Bank Erosion Rate Driven by Hydrological Alterations of a Small Sub-Alpine River 亚高山小河流水文变化驱动的河岸侵蚀速率下降

4区环境科学与生态学

Hydrology Research Pub Date : 2024-07-31 DOI: 10.3390/hydrology11080114

Alexandra Pusztai–Eredics, Tímea Kiss

{"title":"Declining Bank Erosion Rate Driven by Hydrological Alterations of a Small Sub-Alpine River","authors":"Alexandra Pusztai–Eredics, Tímea Kiss","doi":"10.3390/hydrology11080114","DOIUrl":"https://doi.org/10.3390/hydrology11080114","url":null,"abstract":"In the 21st century, climate change and its consequences are getting more serious. The changes in temperature and precipitation alter the run-off conditions, subsequently influencing the channel processes of rivers. The study aims to analyse the hydrological changes in a small, sub-alpine river (Rába/Raab River, Central Europe) and the bank erosional processes (1951–2024). The bank erosion was determined based on topographical maps, aerial photographs, and field (RTK–GPS) surveys. Short (2–3 days) floods were common between 1950 and 1980, and low stages occurred in 65–81% of a year. However, extreme regimes developed in the 21st century, as record-high, flash floods altered with long low stages (91–96% of a year). The bank erosion shows a cyclic temporal pattern, gradually increasing until it reaches a high value (4.1–4.9 m/y), followed by a limited erosional rate (2.2–2.8 m/y). However, the magnitude of the bank erosion is decreasing. This could be explained by (1) the lower transport capacity of the more common low stages and (2) the seasonal shift of the flood waves, which appear in the growing season when the riparian vegetation can more effectively protect the banks from erosion.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"11 8","pages":"114-114"},"PeriodicalIF":0.0,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.mdpi.com/2306-5338/11/8/114/pdf?version=1722494074","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147907340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of tributary inflows on unsteady flow hysteresis and hydrodynamics in the mainstream 支流流入量对主流非稳定流滞后和流体力学的影响

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-07-15 DOI: 10.2166/nh.2024.018

Hongwu Tang, Kang Chen, Saiyu Yuan, Lei Xu, Jiajian Qiu, Qingwei Lin, Carlo Gualtieri

{"title":"Effects of tributary inflows on unsteady flow hysteresis and hydrodynamics in the mainstream","authors":"Hongwu Tang, Kang Chen, Saiyu Yuan, Lei Xu, Jiajian Qiu, Qingwei Lin, Carlo Gualtieri","doi":"10.2166/nh.2024.018","DOIUrl":"https://doi.org/10.2166/nh.2024.018","url":null,"abstract":"\u0000 Flooding propagation is a crucial aspect of hydrological monitoring and forecasting. Previous studies have focused on hysteresis in the rating curve, caused by energy loss during flood propagation. However, the impact of tributary inflow on hysteresis downstream remains unclear, leading to inconsistent field observations on whether it strengthens or weakens hysteresis. In this study, we conducted flume experiments to identify the relationship between hysteresis in unsteady flow and the discharge magnitude of the tributary and the unsteady flow period in the mainstream. It was found that the discharge variations in the tributary had a larger influence on hysteresis compared to the periodical variations in the mainstream unsteady flow. Interestingly, the hysteresis of the unsteady flow had an initial strengthening followed by weakening as the tributary discharge increased. When the tributary inflow was low, the widening of the downstream cross-section sharpened the flood wave, increasing the hysteresis. However, as the tributary discharge increased to generate a backwater effect on the mainstream, the pressure gradient flattened flood waves, thereby weakening the hysteresis. This study improves our understanding of how tributary inflow affects flood propagation in the mainstream, offering new insights for flood prediction and control.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"21 12","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141647009","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Drought mitigation operation of water conservancy projects under severe droughts 严重干旱下的水利工程抗旱运行

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-07-05 DOI: 10.2166/nh.2024.034

Wei Ding, Aimei Bao, Jie Lin, Chengxin Luo, Hui Cao, Dongjie Zhang

{"title":"Drought mitigation operation of water conservancy projects under severe droughts","authors":"Wei Ding, Aimei Bao, Jie Lin, Chengxin Luo, Hui Cao, Dongjie Zhang","doi":"10.2166/nh.2024.034","DOIUrl":"https://doi.org/10.2166/nh.2024.034","url":null,"abstract":"\u0000 \u0000 Severe droughts typically last for extended periods and result in substantial water shortages, posing challenges for water conservancy projects. This study proposed a framework for coordinating drought mitigation operations across projects of various scales. First, the regulation and drought mitigation capacities of each project were analyzed, and thus critical reservoirs was identified. Subsequently, a joint regulation model for water supply, prioritizing projects based on their regulatory capacity from weak to strong, was established. An optimization model is then developed to determine the drought-limited levels for critical reservoirs, aiming to minimize water shortages. This model facilitates temporal coordination of water resources to prevent severe water shortages with frequent mild water shortages. Results in the Chuxionglucheng District of Chuxiong, Yunnan Province, during the severe drought period from 2009 to 2013, demonstrates significant reductions in water shortage. Specifically, the maximum shortage ratio decreased from 59 to 45% for agriculture and from 52 to 8% for industry. Moreover, emergency measures for drought mitigation were compared and recommend for regions with weak projects regulation. Overall, this framework offers a systematic approach to enhancing drought resilience across diverse water conservancy projects in severe drought conditions.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" 2","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141674644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Water quality level estimation using IoT sensors and probabilistic machine learning model 利用物联网传感器和概率机器学习模型估算水质水平

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-07-04 DOI: 10.2166/nh.2024.048

Mahesh Tr, Surbhi Bhatia Khan, A. Balajee, Ahlam Almusharraf, T. Gadekallu, Eid Albalawi, Vinoth Kumar

{"title":"Water quality level estimation using IoT sensors and probabilistic machine learning model","authors":"Mahesh Tr, Surbhi Bhatia Khan, A. Balajee, Ahlam Almusharraf, T. Gadekallu, Eid Albalawi, Vinoth Kumar","doi":"10.2166/nh.2024.048","DOIUrl":"https://doi.org/10.2166/nh.2024.048","url":null,"abstract":"\u0000 \u0000 Drinking water purity analysis is an essential framework that demands several real-world parameters to ensure the quality of water. So far, sensor-based analysis of water quality in specific environments is done concerning certain parameters including the PH level, hardness, TDS, etc. The outcome of such methods analyzes whether the environment provides potable water or not. Potable denotes the purified water that is free from all contaminations. This analysis gives an absolute solution whereas the demand for drinking water is a growing problem where the multiple-level estimations are essential to use the available water resources efficiently. In this article, we used a benchmark water quality assessment dataset for analysis. To perform a level assessment, we computed three major features namely correlation-entropy, dynamic scaling, and estimation levels, and annexed with the earlier feature vector. The assessment of the available data was performed using the statistical machine learning model that ensemble the random forest and light gradient boost model (GBM). The probability of the ensemble model was done by the Kullback Libeler Divergence model. The proposed probabilistic model has achieved an accuracy of 96.8%, a sensitivity of 94.55%, and a specificity of 98.29%.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":" 10","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-07-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141677765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0

Design storm parameterisation for urban drainage studies derived from regional rainfall datasets: A case study in the Spanish Mediterranean region 根据区域降雨数据集为城市排水研究设计暴雨参数：西班牙地中海地区案例研究

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-07-03 DOI: 10.2166/nh.2024.056

Rosario Balbastre-Soldevila, Ignacio Andrés-Doménech, R. García-Bartual

引用次数: 0

Spatiotemporal recharge estimation in the upper Awash sub-basin, central Ethiopia 埃塞俄比亚中部上阿瓦什子流域的时空补给估算

IF 2.7 4区环境科学与生态学

Hydrology Research Pub Date : 2024-06-11 DOI: 10.2166/nh.2024.164

Tsnat Tsegay Woldu, T. Ayenew, Belete Baychken, Behailu Birhanu

{"title":"Spatiotemporal recharge estimation in the upper Awash sub-basin, central Ethiopia","authors":"Tsnat Tsegay Woldu, T. Ayenew, Belete Baychken, Behailu Birhanu","doi":"10.2166/nh.2024.164","DOIUrl":"https://doi.org/10.2166/nh.2024.164","url":null,"abstract":"\u0000 \u0000 Sustainable groundwater management decisions require an understanding of the spatial distribution and seasonal fluctuations of site-specific water budget computations. This study aims to estimate the spatiotemporal distribution of recharge in the upper Awash sub-basin where the groundwater is experiencing intensive abstraction for domestic, industrial, and irrigation water uses. We estimated the spatial and long-term average monthly, seasonal, and annual groundwater recharge using a GIS-based spatially distributed water balance WetSpass-M model. Distributed grid maps of physical parameters (land-use land cover, soil, and slope) and monthly climatological records (rainfall, maximum and minimum temperature, wind speed) were used as model inputs. The WetSpass-M model estimated recharge is validated with the independently computed recharge using the automated digital filtering baseflow separation method. Attributed mainly to variability in soil texture and land use, the annual precipitation (1,032 mm) is distributed as evapotranspiration (45%), surface runoff (42%), and groundwater recharge (11%). Forest and grass areas with loamy sand, have high recharge, while built-up areas with clay soil have low recharge. August to September is estimated to have the largest recharge, while November to December has the lowest. Understanding the spatial and seasonal variability of groundwater recharge is important for sustainable utilization, proper management, and planning of groundwater resources.","PeriodicalId":55040,"journal":{"name":"Hydrology Research","volume":"66 13","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141358431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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}

引用次数: 0