Journal of Hydrology-Regional Studies最新文献_第3页

Rainfall and streamflow variability in North Benin, West Africa, and its multiscale association with climate teleconnections

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-22 DOI: 10.1016/j.ejrh.2025.102319

Orou Moctar Ganni Mampo , Kossi François Guedje , Bruno Merz , Ezéchiel Obada , Ravi Kumar Guntu , Halissou Yarou , Adéchina Eric Alamou , Jean Hounkpe

{"title":"Rainfall and streamflow variability in North Benin, West Africa, and its multiscale association with climate teleconnections","authors":"Orou Moctar Ganni Mampo , Kossi François Guedje , Bruno Merz , Ezéchiel Obada , Ravi Kumar Guntu , Halissou Yarou , Adéchina Eric Alamou , Jean Hounkpe","doi":"10.1016/j.ejrh.2025.102319","DOIUrl":"10.1016/j.ejrh.2025.102319","url":null,"abstract":"<div><h3>Study region</h3><div>Three tributaries of the Niger River, covering 48,000 km² in northern Benin, West Africa.</div></div><div><h3>Study focus</h3><div>Understanding rainfall and streamflow variability in a warming world is crucial for drought-prone West Africa, whose economy relies heavily on rain-fed agriculture. This study explores past changes (1970–2020) in catchment rainfall and streamflow and their association with climate teleconnections.</div></div><div><h3>New hydrological insights for the region</h3><div>We find consistent rainfall patterns across the three catchments, with a recovery from the 1970s-1980s droughts starting in the 1990s. Total rainfall has increased significantly driven by more rainy days, although the wet day rainfall amount has decreased. These results can be summarized as ‘increased total rainfall, but less intense and more variable in space’. More rain, however, does not mean that the drought situation is alleviated, as high interannual and decadal variability persists. Wavelet coherence reveals that rainfall and streamflow variability are modulated by the climate teleconnections ENSO, AMO, and IOD. For rainfall, we find a tendency of a shift from lower-frequency coherence (4–10 years) in earlier decades to higher-frequency coherence (1–3 years) in recent decades. These patterns are less pronounced for streamflow due to indirect climate influences. Unlike many African studies relying on model simulations, these findings are based on quality-checked, dense station data networks, essential for understanding local climate impacts, water management, and early warning systems.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102319"},"PeriodicalIF":4.7,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681473","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

Mechanisms of climate-induced lake dynamics in the Source Region of Three Rivers, Tibetan Plateau

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-21 DOI: 10.1016/j.ejrh.2025.102323

Xiankun Zheng , Sihai Liang , Dezhao Yan , Xingxing Kuang , Li Wan

{"title":"Mechanisms of climate-induced lake dynamics in the Source Region of Three Rivers, Tibetan Plateau","authors":"Xiankun Zheng , Sihai Liang , Dezhao Yan , Xingxing Kuang , Li Wan","doi":"10.1016/j.ejrh.2025.102323","DOIUrl":"10.1016/j.ejrh.2025.102323","url":null,"abstract":"<div><h3>Study region</h3><div>The Source Region of the Three Rivers (SRTR), Tibetan Plateau, China.</div></div><div><h3>Study focus</h3><div>Lake variation studies in the SRTR have primarily focused on a few large lakes, with limited understanding of the long-term trends, stages, and main driving mechanisms of change in lakes larger than 1 km², especially the role of groundwater. This study proposes an attributing framework based on trend tests and water balance to investigate the changes in SRTR lakes with areas over 1 km² from 1990 to 2019. Nearly all potential drivers of lake dynamics, including groundwater, precipitation, evapotranspiration, glaciers, permafrost, and geological structure, are incorporated into the analysis.</div></div><div><h3>New hydrological insights for the region</h3><div>Results indicate an upward trend in the number of lakes (approximately 29 %), area (around 17 %), and volume (growing at an estimated 0.23 Gt/yr). Trend tests and water balance methods revealed that changes in groundwater significantly impacted 47 lakes (including 18 endorheic and 7 exorheic basins). Incorporating precipitation, evapotranspiration, and other factors, we further classified these changes into eight expansion patterns (involving 198 lakes) and four shrinkage patterns (involving 4 lakes), highlighting the diverse response mechanisms of lakes. Additionally, a three-phase evolutionary trend in the spatiotemporal dynamics of lakes was identified, providing a scientific basis for precise water resource regulation and lake ecosystem protection under different future scenarios in the SRTR.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102323"},"PeriodicalIF":4.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681008","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 framework for non-stationary hydrological drought assessment using time-varying parameter standardized streamflow index and time-varying threshold level method

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-21 DOI: 10.1016/j.ejrh.2025.102329

Menghao Wang , Shanhu Jiang , Liliang Ren , Junzeng Xu , Shanshui Yuan , Chong-Yu Xu

{"title":"An integrated framework for non-stationary hydrological drought assessment using time-varying parameter standardized streamflow index and time-varying threshold level method","authors":"Menghao Wang , Shanhu Jiang , Liliang Ren , Junzeng Xu , Shanshui Yuan , Chong-Yu Xu","doi":"10.1016/j.ejrh.2025.102329","DOIUrl":"10.1016/j.ejrh.2025.102329","url":null,"abstract":"<div><h3>Study region</h3><div>Weihe River basin (WRB) in northern China.</div></div><div><h3>Study focus</h3><div>In a changing environment, traditional drought assessment methods may not be applicable when assumptions of stationarity are violated. Accordingly, this study proposes a framework that incorporates the time-varying parameter standardized streamflow index (SSI<sub>var</sub>) and threshold level method (TL<sub>var</sub>) for the non-stationary hydrological drought assessment. Then, the SSI<sub>var</sub> and TL<sub>var</sub> methods are compared with time-invariant and transplantation parameter SSI (SSI<sub>invar</sub> and SSI<sub>tran</sub>) and TL (TL<sub>invar</sub> and TL<sub>tran</sub>) to validate their effectiveness.</div></div><div><h3>New hydrological insights for the region</h3><div>Validation results showed that SSI<sub>var</sub> has the highest Kendall correlation coefficients with standardized precipitation index (SPI) and soil moisture index (SSMI) at 0.81 and 0.78, respectively, outperforming SSI<sub>invar</sub> (0.67and 0.62) and SSI<sub>tran</sub> (0.68 and 0.63). The TL<sub>var</sub> method behaves in the same way, indicating that the SSI<sub>var</sub> and TL<sub>var</sub> methods provide a more accurate assessment of non-stationary hydrological drought. Furthermore, the comparison results show that the mean duration and severity of hydrological drought in the WRB increased by 22.37 % and 13.72 % for SSI<sub>var</sub> method and 34.69 % and 19.15 % for TL<sub>var</sub> method from 1961–1990 to 1991–2020, respectively, revealing that hydrological drought in the WRB has aggravated over the past 30 years. Overall, the combined use of SSI<sub>var</sub> and TL<sub>var</sub> provides a comprehensive understanding of non-stationary drought, integrating qualitative (e.g., severity levels) and quantitative (e.g., streamflow deficits) measures.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102329"},"PeriodicalIF":4.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681585","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

Modeling the effects of extreme precipitation on groundwater resource components of Dagu aquifer in China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-21 DOI: 10.1016/j.ejrh.2025.102325

Pengpeng Zhou , Suna Li , Guangcai Wang , Xiaoxi Yu , Jiani Fu

{"title":"Modeling the effects of extreme precipitation on groundwater resource components of Dagu aquifer in China","authors":"Pengpeng Zhou , Suna Li , Guangcai Wang , Xiaoxi Yu , Jiani Fu","doi":"10.1016/j.ejrh.2025.102325","DOIUrl":"10.1016/j.ejrh.2025.102325","url":null,"abstract":"<div><h3>Study Region</h3><div>Dagu aquifer is a water resource area and situated in the northwest of Qingdao, China.</div></div><div><h3>Study Focus</h3><div>Investigating effects of extreme precipitation on groundwater resource is vital for sustainability of water resource and ecosystem. However, effects of extreme precipitation characteristics on different groundwater resource components and response degrees of these components to extreme precipitation remain poorly understood. To address this, groundwater modeling and multi-scenario simulations were conducted. Correlation analysis and sensitivity coefficient were then used to reveal the effects of extreme precipitation on different groundwater resource components.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Extreme precipitation characterized by high precipitation amount, great intensity, a large number of moderate/heavy rain days, and maximum 1-day or 5-day precipitation amount significantly increases infiltration recharge and groundwater storage. Extreme precipitation with extremely high precipitation amount, a large number of rainstorm days, and maximum 1-day precipitation amount takes certain positive effects on river leakage. Sensitivity results showed that groundwater storage has the most significant response to extreme precipitation with sensitivity coefficients of 4.96–6.28, and total groundwater recharge is also sensitive to the extreme precipitation with sensitivity coefficients of 0.84–1.01, while the response of total groundwater discharge is the weakest. These findings contribute to quantitative understandings of the relationship between extreme precipitation and groundwater resource components in single-layer unconfined aquifers, and provide useful insights for sustainable groundwater management.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102325"},"PeriodicalIF":4.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681586","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

Escherichia coli in the Niger River: Links to environmental variables and anthropogenic activities in Niamey city, Niger

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-21 DOI: 10.1016/j.ejrh.2025.102328

Moussa Boubacar Moussa , Amadou Abdourhamane Touré , Bruno Lartiges , Laurent Kergoat , Elodie Robert , Aliko Mamane , Olivier Ribolzi , Emma Rochelle-Newall , Manuela Grippa

{"title":"Escherichia coli in the Niger River: Links to environmental variables and anthropogenic activities in Niamey city, Niger","authors":"Moussa Boubacar Moussa , Amadou Abdourhamane Touré , Bruno Lartiges , Laurent Kergoat , Elodie Robert , Aliko Mamane , Olivier Ribolzi , Emma Rochelle-Newall , Manuela Grippa","doi":"10.1016/j.ejrh.2025.102328","DOIUrl":"10.1016/j.ejrh.2025.102328","url":null,"abstract":"<div><h3>Study region</h3><div>Middle Niger River, upstream to downstream of Niamey city, Sahel, West Africa.</div></div><div><h3>Study focus</h3><div>Understanding surface water pollution dynamics and identifying its main drivers is particularly important in regions where surface waters are largely used without proper treatment. This study is focused on the Niger River water and assesses <em>E. coli</em> numbers, and physicochemical parameters upstream and downstream of Niamey. Data collected over three years, supplemented by occasional campaigns, aimed to determine the spatial and temporal variability of water quality.</div></div><div><h3>New hydrological insights for the region</h3><div>SPM and <em>E. coli</em> showed high values during the rainy season, peaking before the Red flood. <em>E. coli</em> increased from the first rainfall events in Niamey with a peak occurring before SPM peak. Distinct sources play an important role on their seasonal dynamics; <em>E. coli</em> mainly originates from urban areas along the Niger River, while SPM comes from right-hand tributaries upstream of Niamey. Downstream of Niamey, <em>E. coli</em> were significantly higher than upstream, highlighting the city's substantial contribution to fecal contamination through wastewater discharges, particularly on the left bank. No significant differences between upstream and downstream were observed in the other physicochemical parameters analyzed. Considering spatial distribution in <em>E. coli</em> sources and environmental parameters such as rainfall and SPM is of major and global importance for understanding and addressing fecal contamination in urban environments.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102328"},"PeriodicalIF":4.7,"publicationDate":"2025-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681529","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

Climate change dominates historical runoff variations at multiple time scales in typical agricultural basin of South China

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-20 DOI: 10.1016/j.ejrh.2025.102322

Yang Liu , Zhaoyang Zeng , Chengguang Lai , Xushu Wu , Xuezhi Tan , Zhaoli Wang , Sijing He , Jie Jiang

{"title":"Climate change dominates historical runoff variations at multiple time scales in typical agricultural basin of South China","authors":"Yang Liu , Zhaoyang Zeng , Chengguang Lai , Xushu Wu , Xuezhi Tan , Zhaoli Wang , Sijing He , Jie Jiang","doi":"10.1016/j.ejrh.2025.102322","DOIUrl":"10.1016/j.ejrh.2025.102322","url":null,"abstract":"<div><h3>Study region</h3><div>The Hanjiang River Basin (HRB) in South China</div></div><div><h3>Study focus</h3><div>The attribution identification of runoff variation is conducive to formulating climate change response strategies to cope with regional water resources problems. At present, the specific driving mechanisms of seasonal-scale runoff variation require further exploration and research. This study employs five runoff attribution methods, including linear regression, two hydrological models, and two elasticity methods, to quantitatively dissect the influences of climate change and human activities on runoff variation during 1960–2016 in the HRB.</div></div><div><h3>New hydrological insights for the region</h3><div>The abrupt change detection results indicate that 1972 is the abrupt change point of the runoff series in the HRB. The series is split into two periods: 1960–1972 (baseline period with limited anthropogenic influence) and 1973–2016 (change period). The average results from different methods unequivocally attribute the leading causes of runoff variation to climate change (43.92–135.01 mm), with human activities contributing less (−19.15–36.78 mm). Human activities are observed to partly offset the impact of climate change on runoff variation by approximately 1.3–28.4 %. Results from different methods show similar patterns, with smaller differences in the flood season than the non-flood season. The multi-method approach employed in this study provides valuable insights for policymakers and water resource planners seeking to address the complex interplay of climate change and human activities.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102322"},"PeriodicalIF":4.7,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681474","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

Increasing probability of record-breaking precipitation: A case-study in the Eastern Italian Alps

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-19 DOI: 10.1016/j.ejrh.2025.102314

Matteo Pesce , Eleonora Dallan , Francesco Marra , Marco Borga

{"title":"Increasing probability of record-breaking precipitation: A case-study in the Eastern Italian Alps","authors":"Matteo Pesce , Eleonora Dallan , Francesco Marra , Marco Borga","doi":"10.1016/j.ejrh.2025.102314","DOIUrl":"10.1016/j.ejrh.2025.102314","url":null,"abstract":"<div><h3>Study region</h3><div>Rotian river catchment, Adige river basin, Eastern Italian Alps.</div></div><div><h3>Study focus</h3><div>Time-dependent precipitation frequency analyses are often hampered by the availability of relatively short data records, which result in large uncertainty in the estimation of extremes. Non-asymptotic statistical methods, based on ordinary events rather than extreme events only, represent a potential solution to the problem of data scarcity and are finding application in literature under the assumption of stationarity. This study adopts a time-dependent model for the statistical analysis of sub-hourly to multi-day precipitation extremes based on the Simplified Metastatistical Extreme Value (SMEV) approach. The aim is twofold: (i) evaluate the time-dependence in extreme precipitation probability over the past decades and (ii) estimate the temporal variations in the annual exceedance probabilities of the record-breaking Vaia storm by focusing on a catchment that was severely impacted by the event.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Precipitation extremes in the study region increase over time, particularly for short durations. The largest increase in the design rainfall is observed for sub-hourly and hourly durations, indicating that enhanced convective activity can be a major factor driving the observed changes in the intensity and frequency of precipitation extremes. We find that the probability of observing events like Vaia increased significantly over the past decades, leading to the need for updating local adaptation measures.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102314"},"PeriodicalIF":4.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143681472","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

Ensemble machine learning (EML) based regional flood frequency analysis model development and testing for south-east Australia

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-19 DOI: 10.1016/j.ejrh.2025.102320

Nilufa Afrin , Ataur Rahman , Ahmad Sharafati , Farhad Ahamed , Khaled Haddad

{"title":"Ensemble machine learning (EML) based regional flood frequency analysis model development and testing for south-east Australia","authors":"Nilufa Afrin , Ataur Rahman , Ahmad Sharafati , Farhad Ahamed , Khaled Haddad","doi":"10.1016/j.ejrh.2025.102320","DOIUrl":"10.1016/j.ejrh.2025.102320","url":null,"abstract":"<div><h3>Study region</h3><div>South-east Australia</div></div><div><h3>Study focus</h3><div>This study develops two ensemble-based regional flood frequency analysis (RFFA) techniques, Random Forest Regression (RFR) and Gradient Boosting Regression (GBR)) with a standalone method (Artificial Neural Network (ANN), for south-east Australia. A dataset from 201 catchments across south-east Australia is used in this study. It includes six Annual Exceedance Probabilities (AEPs), 1 in 2, 1 in 5, 1 in 10, 1 in 20, 1 in 50, and 1 in 100 to estimate design floods, which are widely used in the planning and design of water infrastructure. An independent test is adopted to compare the performance of the selected RFFA techniques.</div></div><div><h3>New hydrological insights for the region</h3><div>This study employs a random forest (RF) algorithm as a nonlinear feature selection method to select the important features/catchment characteristics (predictors) in the RFFA. Out of the eight candidate predictors, three are selected to develop and test the selected RFFA techniques. The findings indicate that ensemble methods (RFR and GBR) provide better performance than the standalone ANN technique. The median relative error values are found to be in the range of 33–44 % for the RFR, 34–46 % for the GBR, and 35–53 % for the ANN. The results of this study would be useful in upgrading RFFA methods in the Australian Rainfall and Runoff (national guideline).</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102320"},"PeriodicalIF":4.7,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143654608","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

Streamflow dynamics of Amazonian rivers according to their hydrogeochemical heterogeneity

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-18 DOI: 10.1016/j.ejrh.2025.102316

Paulo Rodrigo Zanin , Rosane Barbosa Lopes Cavalcante , Rogério Ribeiro Marinho , Paulo Rógenes Monteiro Pontes

{"title":"Streamflow dynamics of Amazonian rivers according to their hydrogeochemical heterogeneity","authors":"Paulo Rodrigo Zanin , Rosane Barbosa Lopes Cavalcante , Rogério Ribeiro Marinho , Paulo Rógenes Monteiro Pontes","doi":"10.1016/j.ejrh.2025.102316","DOIUrl":"10.1016/j.ejrh.2025.102316","url":null,"abstract":"<div><h3>Study Region</h3><div>Amazon and Tocantins-Araguaia watersheds.</div></div><div><h3>Study Focus</h3><div>Watershed’s climatology and physiography are key drivers of hydrological processes, sediment yield, and river geochemistry. In the Amazon, rivers are traditionally classified into three hydrogeochemical types (whitewater, blackwater, and clearwater) based on their physicochemical characteristics. While this classification is well established, its relationship with streamflow dynamics remains largely unexplored. This study investigates whether distinct water discharge patterns exist among these river water types, offering insights into their environmental drivers. Specific streamflows and hydrological indexes derived from flow duration curves (1990–2019) of 106 river gauge stations distributed across the Brazilian Amazon were analyzed to characterize streamflow regimes.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>Monitored blackwater rivers have the highest runoff generation per unit area, while clearwater rivers have the lowest. The relative intensity of peak flow increment is the largest in monitored whitewater and clearwater rivers and the smallest in blackwater rivers. The proportion of baseflow contribution to streamflow is the largest in monitored clearwater rivers and the smallest in whitewater rivers. Precipitation is a strong driver of streamflow regimes, but physiographic factors, such as land cover and geology, also play an important role, particularly in baseflow and peak flow. Understanding these hydrological differences is crucial for assessing ecological flow requirements, ultimately aiding sustainable water resource management, and the relationships between river geochemistry and streamflow in the Amazon.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102316"},"PeriodicalIF":4.7,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143637777","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

Probabilistic daily runoff forecasting in high-altitude cold regions using a hybrid model combining DBO and transformer variants

IF 4.7 2区地球科学

Journal of Hydrology-Regional Studies Pub Date : 2025-03-17 DOI: 10.1016/j.ejrh.2025.102311

Qiying Yu , Wenzhong Li , Yungang Bai , Zhenlin Lu , Yingying Xu , Chengshuai Liu , Lu Tian , Chen Shi , Biao Cao , Tianning Xie , Jianghui Zhang , Caihong Hu

{"title":"Probabilistic daily runoff forecasting in high-altitude cold regions using a hybrid model combining DBO and transformer variants","authors":"Qiying Yu , Wenzhong Li , Yungang Bai , Zhenlin Lu , Yingying Xu , Chengshuai Liu , Lu Tian , Chen Shi , Biao Cao , Tianning Xie , Jianghui Zhang , Caihong Hu","doi":"10.1016/j.ejrh.2025.102311","DOIUrl":"10.1016/j.ejrh.2025.102311","url":null,"abstract":"<div><h3>Study Area</h3><div>The Tailan River Basin in the Aksu region and the Yulong Kashi River in the Hotan River Basin of Xinjiang are located at respective geographical coordinates of 80°21'44\" to 81°10'14\" E, 40°41'41\" to 42°15'13\" N, and 77.25° to 81.75° E, 34.75° to 36.25° N.</div></div><div><h3>Study Focus</h3><div>To tackle the complexity of runoff prediction in high-altitude cold regions, alongside the limitations of existing machine learning approaches, where nonlinear relationships, long-term dependencies, and sparse observational data pose significant challenges, previous models have consistently struggled to account for these issues. In response, we propose a hybrid runoff prediction model that combines Dung Beetle Optimization (DBO)'s optimization capabilities, Temporal Convolutional Networks (TCN)’s proficiency in extracting local temporal features, and the Transformer’s ability to capture long-term dependencies. In addition, the Bootstrap method is employed to merge point prediction outcomes for interval runoff forecasting, providing robust uncertainty estimates to address data limitations in these regions.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>The DBO-TCN-Transformer model consistently attains a Nash-Sutcliffe Efficiency (NSE) above 0.81, showcasing enhanced performance over traditional models. Across various forecast periods, the model’s <em>NSE</em> values are 6.9–26.9 % higher than those of the TCN and Transformer models, offering more reliable short-term and long-term predictions. Furthermore, the Bootstrap algorithm’s probabilistic approach provides valuable insights into forecast uncertainty, a crucial feature for managing water resources and mitigating flood risks in high-altitude cold regions with complex hydrological dynamics.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102311"},"PeriodicalIF":4.7,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143632128","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