Journal of Hydrology-Regional Studies最新文献

Assessing the impact of vegetation changes on water availability in the upper Yellow River Basin, China

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-22 DOI: 10.1016/j.ejrh.2025.102403

Yan Wang , Guoqing Wang , Xiyuan Deng , Yuli Ruan , Cuishan Liu

Study region

The upper Yellow River Basin (UYRB), China

Study focus

The influences of vegetation changes on terrestrial water and energy fluxes have attracted global attention, yet the effect on water availability remains uncertain. In this work, we combined long-term satellite data and ecohydrological modeling to explore how vegetation changes affect hydrological processes and water availability across different climatic conditions and vegetation types in the UYRB, the most important water conservation area within the YRB. The Community Land Model version 4.5 (CLM4.5), coupled with the Variable Infiltration Capacity (VIC) parameterizations, was utilized for ecohydrological applications.

New hydrological insights for the region

From 1982 to 2018, vegetation in the UYRB exhibited a predominantly greening trend, with 57.9 % of the area showing significant greening, resulting in increased evapotranspiration (ET), diminished runoff, drier soil conditions, and decline in water yield and terrestrial water storage change (TWSC). According to the simulation using the satellite-derived dynamic leaf area index (LAI), we further estimated that a unit change in LAI resulted in changes in water yield and TWSC of −124.15 ± 71.38 mm yr⁻¹ and −102.21 ± 74.98 mm yr⁻¹, respectively. However, the simulation with model-predicted LAI underestimated this control, likely due to the poor representation of LAI dynamics. The LAI effects were significantly modulated by climatic conditions and vegetation types, with the greening of vegetation exacerbating water scarcity in arid regions.

研究区域中国黄河上游流域（UYRB）研究重点植被变化对陆地水和能量通量的影响已引起全球关注，但其对水供应的影响仍不确定。在这项研究中，我们结合长期卫星数据和生态水文模型，探讨了植被变化如何影响长江上游地区不同气候条件和植被类型下的水文过程和可用水量，该地区是长江上游地区最重要的水源保护区。该地区的新水文见解从 1982 年到 2018 年，乌裕拉山地区的植被呈现出以绿化为主的趋势，57.9% 的区域呈现出显著的绿化，导致蒸散量（ET）增加、径流减少、土壤条件更加干燥、产水量和陆地蓄水量变化（TWSC）下降。根据使用卫星得出的动态叶面积指数（LAI）进行的模拟，我们进一步估计，LAI 的单位变化导致水分产量和陆地储水量变化分别为 -124.15 ± 71.38 mm yr-1 和 -102.21 ± 74.98 mm yr-1。然而，使用模型预测的 LAI 进行的模拟低估了这一控制，这可能是由于 LAI 动态表现不佳。气候条件和植被类型对 LAI 的影响有明显的调节作用，植被绿化加剧了干旱地区的缺水状况。

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引用次数: 0

Interactions between dissolved organic matter composition and microbial communities in runoff from biocrust-colonized slopes on the Loess Plateau of China

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-22 DOI: 10.1016/j.ejrh.2025.102411

Guo Chen , Hao Wang , Qing-wei Zhang , Chao Chang , Jian Wang , Yuan-bi Yi , Ming Li , Ding He

Study region

The Zhifanggou watershed of the Loess Plateau, China.

Study focus

Using rainfall simulation experiments coupled with high-throughput sequencing and fourier transform ion cyclotron resonance mass spectrometry (FT-ICR MS), we revealed the linkages between DOM molecular characteristics and bacterial/fungal communities in runoff from slopes colonized by three typical biocrusts (cyanobacterial, cyanobacterial-moss, and moss crusts), with bare slope as control.

New hydrological insights for the region

Biocrust succession significantly increased DOM molecular diversity by 12–24 % compared to bare slope, while maintaining stable microbial diversity. The bacterial communities in runoff were dominated by Proteobacteria and Actinobacteriota (61–79 %), while Ascomycota (60–94 %) prevailed fungal communities. The DOM molecular composition in runoff was closely associated with bacterial and fungal communities and the biocrusts characteristics within runoff plots. The compositional differences of all compound classes or elemental combinations in runoff generally decreased with biocrust succession. Besides, the positive Spearman correlation between bacteria and DOM in runoff predominantly distributed in higher O/C and lower H/C molecular families, while vice versa for the fungi. Meanwhile, bipartite network analysis further demonstrated that both positive and negative interactions were closely associated to molecular characteristics. When the H/C or O/C ratios of DOM molecules were more similar, their correlations with microbial taxa showed greater similarity. Overall, our findings offer insights into DOM-microbe co-transport mechanisms at soil-aquatic interfaces of semiarid ecosystems.

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引用次数: 0

A fusion strategy for terrestrial water storage anomaly inversion using joint GNSS and GRACE for Southwest China

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102391

Yifan Shen , Wanglong Hou , Huizhong Zhu , Yu Gai , Hao Yu , Pengsheng Gao , Shengkun Nie , Wei Zheng , Qiang Wang

Study region

The southwest China covers Yunnan, Guizhou, Sichuan, Guangxi, and Chongqing. The region is influenced by monsoon climate and complex topography, with complex hydrological processes and significant spatial and temporal heterogeneity.

Study focus

The Gravity Recovery and Climate Experiment (GRACE) satellite data demonstrate high accuracy; however, their spatial and temporal resolution is low, and there is a window of almost one year. Conversely, the Global Navigation Satellite System (GNSS) satellite data have high spatial and temporal resolution, but their accuracy is low. In this study, a novel Adaptive Weighted Fusion TWSA Inversion Method (AWFTM) is proposed to achieve the complementary advantages of GNSS and GRACE, in order to invert the TWSA results with high accuracy and high spatial and temporal resolution.

New hydrological insights for the region

The temporal and spatial evolution characteristics of TWSA in southwest China from 2011 to 2022 were analyzed using AWFTM inversion. The study found that TWSA increased dramatically during 2014–2016, a phenomenon closely related to the strong convective weather and extreme heavy rainfall triggered by the super El Niño event during the same period, which led to significant changes in regional water storage. Further analysis shows that the TWSA and rainfall data from the AWFTM inversion are highly consistent across the provinces in southwest China, with their peaks located in southwest Yunnan Province and southeast Guangxi Province. The results not only validate the spatial reliability of AWFTM, but also provide a powerful dataset that can support disaster prevention, water resource management, and ecological protection in the region.

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引用次数: 0

Insights into groundwater hydrochemistry and origin of the hydrocarbon contaminated karst aquifers, SW Iran

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102379

Farshad Alijani , Narges Bayat , Hamid Reza Nassery , Gesine D. Lorenz , Florian Heine , Matthew I. Leybourne

Study region

Khuzestan, Ilam, Lorestan, and Chaharmahal and Bakhtiari provinces in southwest of Iran.

Study focus

In this study, conventional geochemical, stable isotopes of H₂O (δ²H, δ¹⁸O), SO₄ (δ³⁴S, δ¹⁸O), and dissolved inorganic carbon (δ¹³C_DIC) were employed on the samples collected in February 2021, August 2021, and February 2022 from SW Iran. By the use of hydrogeochemical diagrams, sulfuric samples (SS), non-sulfuric samples (NSS), and oil field water (OFW) samples in karst aquifers have been distinguished.

New hydrological insights for the region

The findings reveal that: (1) the major chemical composition of the SS, NSS, and OFW samples consist of CaSO₄, CaHCO₃, and NaCl types, respectively; (2) the δ²H_H2O values range between −17.37 and −15.86 ‰ V-SMOW and the δ¹⁸O_H2O values range between −4.49 and −4.18 ‰ V-SMOW for the SS and NSS, indicating that they originated from local rainwater; (3) the δ³⁴S_SO4 and δ¹⁸O_SO4 values of dissolved sulfate of SS, NSS, and OFW indicate that the sulfate resulted from interactions between water and rocks, particularly evaporitic rocks such as gypsum and anhydrite; and (4) the δ¹³C_DIC values vary extensively, ranging from −16 ‰ to + 7 ‰ V-PDB. Higher δ¹³C_DIC signatures are consistent with biogeochemical processes (i.e., methanogenesis) or exchange with marine carbonates. (5) The concentration of total petroleum hydrocarbons (TPH) ranged from 26.3 to 19,670 μg/L in the groundwater samples.Toluene was the most abundant species of BTEX in all samples.

{"title":"Insights into groundwater hydrochemistry and origin of the hydrocarbon contaminated karst aquifers, SW Iran","authors":"Farshad Alijani , Narges Bayat , Hamid Reza Nassery , Gesine D. Lorenz , Florian Heine , Matthew I. Leybourne","doi":"10.1016/j.ejrh.2025.102379","DOIUrl":"10.1016/j.ejrh.2025.102379","url":null,"abstract":"<div><h3>Study region</h3><div>Khuzestan, Ilam, Lorestan, and Chaharmahal and Bakhtiari provinces in southwest of Iran.</div></div><div><h3>Study focus</h3><div>In this study, conventional geochemical, stable isotopes of H<sub>2</sub>O (δ<sup>2</sup>H, δ<sup>18</sup>O), SO<sub>4</sub> (δ<sup>34</sup>S, δ<sup>18</sup>O), and dissolved inorganic carbon (δ<sup>13</sup>C<sub>DIC</sub>) were employed on the samples collected in February 2021, August 2021, and February 2022 from SW Iran. By the use of hydrogeochemical diagrams, sulfuric samples (SS), non-sulfuric samples (NSS), and oil field water (OFW) samples in karst aquifers have been distinguished.</div></div><div><h3>New hydrological insights for the region</h3><div>The findings reveal that: (1) the major chemical composition of the SS, NSS, and OFW samples consist of CaSO<sub>4</sub>, CaHCO<sub>3</sub>, and NaCl types, respectively; (2) the δ<sup>2</sup>H<sub>H2O</sub> values range between −17.37 and −15.86 ‰ V-SMOW and the δ<sup>18</sup>O<sub>H2O</sub> values range between −4.49 and −4.18 ‰ V-SMOW for the SS and NSS, indicating that they originated from local rainwater; (3) the δ<sup>34</sup>S<sub>SO4</sub> and δ<sup>18</sup>O<sub>SO4</sub> values of dissolved sulfate of SS, NSS, and OFW indicate that the sulfate resulted from interactions between water and rocks, particularly evaporitic rocks such as gypsum and anhydrite; and (4) the δ<sup>13</sup>C<sub>DIC</sub> values vary extensively, ranging from −16 ‰ to + 7 ‰ V-PDB. Higher δ<sup>13</sup>C<sub>DIC</sub> signatures are consistent with biogeochemical processes (i.e., methanogenesis) or exchange with marine carbonates. (5) The concentration of total petroleum hydrocarbons (TPH) ranged from 26.3 to 19,670 μg/L in the groundwater samples.Toluene was the most abundant species of BTEX in all samples.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102379"},"PeriodicalIF":4.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A comprehensive evaluation of the accuracy of satellite-based precipitation estimates over Thailand

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102380

Chanphit Kaprom , James Alexander Williams , Rajeshwar Mehrotra , Chainarong Ophaphaibun , Nutchanart Sriwongsitanon

Study region

Thailand

Study focus

This study assessed the performance of fifteen SPE products from the TRMM, GPM IMERG, CHIRP, CMORPH, and PERSIANN families, using 1779 gauged rainfall measurements, covering the period from 2001 to 2015, after undergoing fourteen quality control steps. Various statistical indicators ranked fifteen candidates with normalized scores, revealing performance differences across regions and products. This analysis helps to identify the most suitable products for specific objectives. It also evaluates the performance of SPEs across changes in elevation, rainfall probability, and data-scarce conditions by progressively reducing the amount of gauged rainfall data used. Finally, an ensemble product was developed.

New hydrological insights for the region under study

Firstly, CMORPH-BLD, CHIRPS-Preliminary, TRMM-3B42, and GPM IMERG-Final are the top four performers. Secondly, rainfall estimates from the SPE products were generally underestimated at rare probabilities and overestimated at more frequent ones. Their accuracy was slightly lower at elevations below 200 m, improved up to 800 m with consistent accuracy, and then decreased above 800 m, with minimal gauged rainfall stations increasing uncertainties in assessing SPE product performance at higher elevations. Thirdly, bias correction improved the performance of all SPEs, and accuracy gains were still achievable even with reduced gauged rainfall data. The ensemble of multiple SPEs reduced individual errors, demonstrating their reliability in representing precipitation in Thailand. These findings confirm the robustness of fixed simulation weights for future applications.

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引用次数: 0

Source apportionment and health risks of nitrate pollution in shallow groundwater in the agricultural Northern Xiaoxing' an Mountains region of China 中国小兴安岭北部农业区浅层地下水硝酸盐污染的来源分配与健康风险

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102394

Jilin Zheng , Xiaoyu Guo , Yanlong Cai , Junshuai Liu , Dake Wang , Xiaoqi Gao , Bowen Tan

Study region

Northern Xiaoxing'an Mountains, a key agricultural region in Northeast China.

Study focus

Groundwater nitrate (NO₃⁻) contamination has become a widespread concern due to agricultural intensification and anthropogenic activities. This study investigated the sources, spatial distribution, and health risks of nitrate pollution using hydrochemical analysis, multivariate statistical methods, and health risk assessment. APCS-MLR (Absolute Principal Component Scores-Multiple Linear Regression) was employed to quantify pollution sources, while Monte Carlo simulation was utilized to assess health risks among different population groups.

New hydrological insights for the region

Groundwater NO₃⁻ concentrations averaged 31.06 mg/L, with 60 % of samples exceeding Class III water quality standards. APCS-MLR identified agricultural activities as the dominant pollution source (64.04 %), followed by domestic sewage (24.14 %), with pollution hotspots concentrated in intensive farming areas. Hydrochemical analysis revealed two predominant groundwater types: Ca-HCO₃ and Ca-Cl(NO₃+SO₄), with the latter associated with anthropogenic contamination. Health risk assessment highlighted infants as the most vulnerable group, with a 95th percentile Hazard Quotient of 2.38, significantly exceeding the safety threshold. Key factors distinguishing agricultural and domestic pollution sources included distinctive correlations between NO₃⁻, Cl⁻, and SO₄²⁻, hydrochemical patterns in Gibbs diagrams, and spatial correspondence with land use. This comprehensive characterization provides a scientific foundation for implementing targeted nitrate management strategies in this agriculturally important region.

{"title":"Source apportionment and health risks of nitrate pollution in shallow groundwater in the agricultural Northern Xiaoxing' an Mountains region of China","authors":"Jilin Zheng , Xiaoyu Guo , Yanlong Cai , Junshuai Liu , Dake Wang , Xiaoqi Gao , Bowen Tan","doi":"10.1016/j.ejrh.2025.102394","DOIUrl":"10.1016/j.ejrh.2025.102394","url":null,"abstract":"<div><h3>Study region</h3><div>Northern Xiaoxing'an Mountains, a key agricultural region in Northeast China.</div></div><div><h3>Study focus</h3><div>Groundwater nitrate (NO₃⁻) contamination has become a widespread concern due to agricultural intensification and anthropogenic activities. This study investigated the sources, spatial distribution, and health risks of nitrate pollution using hydrochemical analysis, multivariate statistical methods, and health risk assessment. APCS-MLR (Absolute Principal Component Scores-Multiple Linear Regression) was employed to quantify pollution sources, while Monte Carlo simulation was utilized to assess health risks among different population groups.</div></div><div><h3>New hydrological insights for the region</h3><div>Groundwater NO₃⁻ concentrations averaged 31.06 mg/L, with 60 % of samples exceeding Class III water quality standards. APCS-MLR identified agricultural activities as the dominant pollution source (64.04 %), followed by domestic sewage (24.14 %), with pollution hotspots concentrated in intensive farming areas. Hydrochemical analysis revealed two predominant groundwater types: Ca-HCO₃ and Ca-Cl(NO₃+SO₄), with the latter associated with anthropogenic contamination. Health risk assessment highlighted infants as the most vulnerable group, with a 95th percentile Hazard Quotient of 2.38, significantly exceeding the safety threshold. Key factors distinguishing agricultural and domestic pollution sources included distinctive correlations between NO₃⁻, Cl⁻, and SO₄²⁻, hydrochemical patterns in Gibbs diagrams, and spatial correspondence with land use. This comprehensive characterization provides a scientific foundation for implementing targeted nitrate management strategies in this agriculturally important region.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102394"},"PeriodicalIF":4.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Impact of wildfires on spatial and temporal evolution of groundwater recharge in an Atlantic pine forest: An integrated approach using field, remote sensing and modeling.

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102408

Mariana La Pasta Cordeiro , João Pedro Nunes , Maria Teresa Condesso de Melo

Study region

Leiria Pine Forest (Portugal)

Study focus

Climate change, including higher temperatures, drier atmosphere and prolonged droughts, is increasing the risk, extent and impacts of wildfires in Southern Europe. This study investigates extreme wildfires impacts on groundwater recharge in the Leiria Pine Forest, integrating field and remote sensing data with modelling tools to simulate recharge in burnt and unburnt areas from 2001 to 2023.

New hydrological insights for the region:Results

show a decline in crop-adjusted potential evapotranspiration due to vegetation loss after the fire, resulting in increased recharge rates. Groundwater recharge increased from 20 % of annual precipitation pre-fire to over 40 % in the first-year post-fire in the burnt area, gradually stabilizing at around 30 % by 2023. This contrasts with the unburnt area, where recharge rates remained stable. This increase is influenced by geological and pedological characteristics, favorable topography which promotes low runoff and high infiltration rates, and specific climatic conditions. The low water-holding capacity of the sandy arenosols in the burnt area, promotes faster infiltration, increasing recharge. Contrary to other studies, soil water repellence seems to have limited influence in this area due to local climate and soil conditions. Predicting the consequences of wildfires in groundwater is complex process, nevertheless the application of multiple methodologies increases result reliability.

{"title":"Impact of wildfires on spatial and temporal evolution of groundwater recharge in an Atlantic pine forest: An integrated approach using field, remote sensing and modeling.","authors":"Mariana La Pasta Cordeiro , João Pedro Nunes , Maria Teresa Condesso de Melo","doi":"10.1016/j.ejrh.2025.102408","DOIUrl":"10.1016/j.ejrh.2025.102408","url":null,"abstract":"<div><h3>Study region</h3><div>Leiria Pine Forest (Portugal)</div></div><div><h3>Study focus</h3><div>Climate change, including higher temperatures, drier atmosphere and prolonged droughts, is increasing the risk, extent and impacts of wildfires in Southern Europe. This study investigates extreme wildfires impacts on groundwater recharge in the Leiria Pine Forest, integrating field and remote sensing data with modelling tools to simulate recharge in burnt and unburnt areas from 2001 to 2023.</div></div><div><h3>New hydrological insights for the region:Results</h3><div>show a decline in crop-adjusted potential evapotranspiration due to vegetation loss after the fire, resulting in increased recharge rates. Groundwater recharge increased from 20 % of annual precipitation pre-fire to over 40 % in the first-year post-fire in the burnt area, gradually stabilizing at around 30 % by 2023. This contrasts with the unburnt area, where recharge rates remained stable. This increase is influenced by geological and pedological characteristics, favorable topography which promotes low runoff and high infiltration rates, and specific climatic conditions. The low water-holding capacity of the sandy arenosols in the burnt area, promotes faster infiltration, increasing recharge. Contrary to other studies, soil water repellence seems to have limited influence in this area due to local climate and soil conditions. Predicting the consequences of wildfires in groundwater is complex process, nevertheless the application of multiple methodologies increases result reliability.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102408"},"PeriodicalIF":4.7,"publicationDate":"2025-04-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143851423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Structural sediment connectivity dynamics in a representative watershed of the southern China’s red soil region: Response to land use/cover changes

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102407

He Wang , Songyang Li , Juan Wu , Huiguang Li , Yue Zhang , Fangshi Jiang , Yanhe Huang , Jinshi Lin

Study region

Red soil region of southern China

Study focus

Land use/cover changes significantly affect the ecosystem’s potential for sediment detachment and transport capacity. These impacts can be manifested through variations in sediment connectivity, which reflects the continuity and strength of runoff and sediment pathways at a given point in time. Combining the sediment connectivity index (IC) with observed sediment data, this study assessed the dynamics of structural sediment connectivity and its response to land use/cover changes in a representative watershed of southern China's red soil region.

New hydrological insight for the region

Over four decades of soil erosion control, land use and landscape patterns have changed minimally, but the vegetation cover has increased significantly. The mean IC values were −0.88, −0.87 and −3.77 in 1986, 2000 and 2019, respectively, indicating a great decrease in structural sediment connectivity. Croplands and highly fragmented landscape patterns can lead to high IC values. The changes in vegetation cover were the direct cause of IC reduction, which resulted in temporal variations in structural sediment connectivity. These variations aligned chronologically with regional development patterns and policies. Sediment connectivity changes became the main factor controlling sediment yield in the watershed from 2001 to 2020, reducing it by 57.56 % compared to 1982–1995 period. These findings provide spatial guidance for optimizing landscape patterns and cropland management to mitigate sediment connectivity hotspots in red soil regions.

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引用次数: 0

Agricultural drought recovery characteristics and water requirement for rapid drought recovery in the Huai River Basin, China

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-21 DOI: 10.1016/j.ejrh.2025.102396

Jiaying Liu , Yonghua Zhu , Robert Horton , Haishen Lü , Naveed Ahmed , Yinghao Fu , Yingying Xu , Tingxing Chen , Yiling Yao

Study region

Huai River Basin.

Study focus

The study aims to analyze the spatiotemporal changes in the occurrence and recovery of agricultural droughts of different degrees in the Huai River Basin through the Standardized Soil Moisture Index (SSMI) and the Weighted Average Precipitation Index (WAPI). It also determines the cumulative precipitation amounts leading to the rapid recovery of agricultural droughts with 1–2 days of additional rainfall. This method is designed to accurately identify the characteristics of drought recovery and the actual effective weighted precipitation required for rapid recovery on a daily scale.

New hydrological insights

The findings indicate that mild and extreme droughts frequently occur in the Huai River Basin. The longer the drought persists, the longer the recovery time. Recovery times in the southern part are the shortest. In the past 33 years, there have been 22 events of rapid recovery from agricultural drought within one day following a period with sufficient cumulative rainfall. On average, each event requires a Weighted Average Precipitation Index (WAPI) of 660 mm based on cumulative rainfall from an earlier time period to facilitate drought recovery within one day of additional rainfall. To rapidly recover from severe drought and more severe drought conditions within two days of heavy rainfall, the corresponding WAPI based on sufficient cumulative rainfall from an earlier time period reach nearly 1000 mm.

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引用次数: 0

Runoff simulation and analysis of water source in the high-altitude and cold region of the Shaliu River Basin

IF 4.7 2区地球科学 Q1 WATER RESOURCES

Journal of Hydrology-Regional Studies

Pub Date : 2025-04-19 DOI: 10.1016/j.ejrh.2025.102294

Yunying Wang , Zongxing Li , Zongjie Li , Baijuan Zhang , Guohui Li , Lanping Si

Study Region

The Shaliu river basin, a small basin in a high-altitude cold region.

Study Focus

An improved SWAT model was used to simulate monthly runoff from 1960 to 2022. The snowmelt module was improved using a dual-factor method of temperature and radiation, and the surface runoff module was optimized under the condition of permafrost presence. The period from 1960 to 1964 was used as the model warm-up period, 1965–2000 as the calibration period, and 2001–2022 as the validation period. The study quantified the contributions of different components of the basin to runoff, analyzed the changes in blue and green water, and assessed the contributions of meteorological factors to runoff changes.

New Hydrological Insights for the Region

The study identified CN2, GW_DELAY, SOL_BD, and ESCO as the key parameters affecting annual runoff changes. The improved SWAT model showed better performance in simulating runoff, especially during snowmelt and permafrost periods, with improved R² 0.686 to 0.702), reduced PBIAS (by 4.8 %), and increased NSE (by 0.041) in the calibration period. The snowmelt contribution rate was 6.5 %, peaking in spring, The contribution of snowmelt is decreasing with time and the contribution of baseflow is increasing on time scales. Blue water increased significantly annually, green water decreased slightly, and the green water coefficient decreased. The highest values were observed in August. Spatially, green water was higher in the middle and lower at both ends, blue water was higher upstream, and the green water coefficient was lower upstream. At the basin scale, green water was more abundant than blue water. Precipitation, temperature, and relative humidity were the main factors affecting runoff changes. This study offers a theoretical basis for water resource management in cold-region watersheds.

{"title":"Runoff simulation and analysis of water source in the high-altitude and cold region of the Shaliu River Basin","authors":"Yunying Wang , Zongxing Li , Zongjie Li , Baijuan Zhang , Guohui Li , Lanping Si","doi":"10.1016/j.ejrh.2025.102294","DOIUrl":"10.1016/j.ejrh.2025.102294","url":null,"abstract":"<div><h3>Study Region</h3><div>The Shaliu river basin, a small basin in a high-altitude cold region.</div></div><div><h3>Study Focus</h3><div>An improved SWAT model was used to simulate monthly runoff from 1960 to 2022. The snowmelt module was improved using a dual-factor method of temperature and radiation, and the surface runoff module was optimized under the condition of permafrost presence. The period from 1960 to 1964 was used as the model warm-up period, 1965–2000 as the calibration period, and 2001–2022 as the validation period. The study quantified the contributions of different components of the basin to runoff, analyzed the changes in blue and green water, and assessed the contributions of meteorological factors to runoff changes.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>The study identified CN2, GW_DELAY, SOL_BD, and ESCO as the key parameters affecting annual runoff changes. The improved SWAT model showed better performance in simulating runoff, especially during snowmelt and permafrost periods, with improved R² 0.686 to 0.702), reduced PBIAS (by 4.8 %), and increased NSE (by 0.041) in the calibration period. The snowmelt contribution rate was 6.5 %, peaking in spring, The contribution of snowmelt is decreasing with time and the contribution of baseflow is increasing on time scales. Blue water increased significantly annually, green water decreased slightly, and the green water coefficient decreased. The highest values were observed in August. Spatially, green water was higher in the middle and lower at both ends, blue water was higher upstream, and the green water coefficient was lower upstream. At the basin scale, green water was more abundant than blue water. Precipitation, temperature, and relative humidity were the main factors affecting runoff changes. This study offers a theoretical basis for water resource management in cold-region watersheds.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102294"},"PeriodicalIF":4.7,"publicationDate":"2025-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143847651","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0