Hydrological Processes最新文献

{"title":"Estimation of Evaporative Losses From Asia's Largest Desert Reservoir and Their Impact on the Water Cycle: Insights From a Stable Isotope Perspective","authors":"Rui Li,&nbsp;Guofeng Zhu,&nbsp;Zhigang Sun,&nbsp;Longhu Chen,&nbsp;Yuhao Wang,&nbsp;Xiaoyu Qi,&nbsp;Yuxin Miao,&nbsp;Wenmin Li","doi":"10.1002/hyp.70200","DOIUrl":"https://doi.org/10.1002/hyp.70200","url":null,"abstract":"<div>\u0000 \u0000 <p>To combat water scarcity in arid regions, reservoirs are strategically constructed, but their precise influence on the water cycle is not well understood. This study systematically analyses hydrometeorological and stable isotope data from precipitation, river, and reservoir waters using the hydrological observation system at Hongyashan Reservoir. The study revealed that the reservoir notably altered local water cycle processes. The stable isotope compositions of surface water show the changing characteristics of enrichment in summer and depletion in spring and fall, while evaporation controls the stable isotope compositions of surface water in Hongyashan Reservoir. Precipitation in the Hongyashan Reservoir primarily comes from westerly water vapour transport, significantly affected by local intra-continental water vapour recirculation. The average annual evaporation loss from Hongyashan Reservoir is 14.72%, and the contribution ratio of locally recirculated water vapour to precipitation ranges from 18.85% to 38.9%. Our findings highlight the need to consider the impact of local reservoirs on hydrological processes when assessing water resources in arid zones, and to address water losses caused by reservoirs.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144615196","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Framework to Determine Present and Future Effects of Rain-on-Snow on Spring Hydrology and Nutrient Loading in the Lake Erie Basin","authors":"Sophia A. Zamaria,&nbsp;Amanda L. Loder,&nbsp;Sarah A. Finkelstein,&nbsp;George B. Arhonditsis","doi":"10.1002/hyp.70193","DOIUrl":"https://doi.org/10.1002/hyp.70193","url":null,"abstract":"<p>Rain-on-snow (ROS) events occur when temperatures allow for liquid precipitation to fall onto an existing snowpack. Although ROS is a fundamental facet of winter and spring hydrology in the Great Lakes Basin with the potential to result in severe flooding and influence water quality issues, its role in this region is understudied compared with alpine regions. Many watershed models do not comprehensively characterise the ROS process and thus may misrepresent hydrological and water quality outputs. Here, we elucidate the importance of ROS on spring water balance and nutrient loading in the Big Creek watershed, part of the Lake Erie Basin (LEB), through an ensemble of statistical, hydrological, and climate modelling tools. We found that spring flow events with enhanced ROS melt are conducive to excessive loading export from both agricultural and natural land uses. The incorporation of a novel ROS routine into the Soil and Water Assessment Tool (SWAT) model demonstrated that the modified version improved performance in 76% of 504 random streamflow simulations. The ROS characterisation can more accurately recreate the magnitude of extreme flow events in spring, which is a commonly reported shortcoming of the SWAT model. The ROS submodel simulated earlier shifts in snowmelt, water yield and evapotranspiration by 1 month compared with the original model. In examining a climate scenario associated with modest greenhouse gas emission changes, we found that monthly average streamflow over the 21^st century is projected to remain relatively stable, but the occurrence of extreme flow conditions will increase. ROS event frequency is projected to increase in February and March and decrease in April in urban and natural land uses, but agricultural areas will only experience a slight decline, suggesting that the landscape attributes play an important role in localised shifts in ROS event frequency. We contend that ongoing watershed modelling work must include the ROS process to improve representation of critical facets of hydrology and water quality that could be extrapolated to other more complex watersheds within the LEB and elsewhere.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70193","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144606466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predicting Sediment Transport by Coupling Sediment Connectivity With the Unit Sediment Graph: Method Development and Watershed-Scale Application","authors":"Nabil Al-Aamery,&nbsp;James F. Fox,&nbsp;Tyler Mahoney,&nbsp;Arlex Marin-Ramirez","doi":"10.1002/hyp.70198","DOIUrl":"https://doi.org/10.1002/hyp.70198","url":null,"abstract":"<div>\u0000 \u0000 <p>The unit sediment graph approach, analogous to the unit hydrograph method, was rarely applied in the past 50 years, presumably due to limitations from scaling the sediment kernel. We hypothesised that spatially explicit sediment connectivity modelling might be combined with unit sediment graph theory to estimate sediment source zones and time of mobilisation across the watershed and estimate sediment flux for hydrologic events. We formulated the model using the probability of sediment connectivity with log-normal parameterisation of the 1-h unit sediment graph. Simulations were carried out for a sediment transport application in a third-order watershed in Kentucky, USA, using a two-stage calibration procedure assisted by a high-performance computing cluster. Results showed sufficient evidence for the efficacy of the approach, including Nash-Sutcliffe Efficiency as high as 0.87 and 0.84 in Stages 1 and 2, respectively, of calibration and 0.88 for model validation. Results of the probability of connectivity showed variability across and within transport events, and 7.5% connectivity for the high flow isolated event. The log-normal distribution effectively estimated the rising limb and the falling limb of the sediment graphs. Post-processing of modelling results showed the importance of the probability of sediment connectivity, as simulations omitting it produced inadequate results. Post-processing with a shallow artificial neural network model showed that both sediment connectivity and surface runoff control sediment yield at the event scale. Results showed the ability of the hourly time step to capture the onset of sediment connectivity and peak connectivity across the ephemeral network.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Use of the Calibrated Curve Number and a Runoff-Driven USLE Model to Estimate Event Soil Loss From Sparacia (Sicily, Southern Italy) Plots","authors":"Vincenzo Pampalone,&nbsp;Dario Autovino,&nbsp;Maria Angela Serio,&nbsp;Vincenzo Bagarello,&nbsp;Vito Ferro","doi":"10.1002/hyp.70205","DOIUrl":"https://doi.org/10.1002/hyp.70205","url":null,"abstract":"<p>The Natural Resources Conservation Service (NRCS)-curve number (CN) method was originally proposed to predict runoff on small and midsize catchments, but it has also been used at the scale of erosion plots. In this case, uncertainties exist with reference to the factors, for example, scale effects, affecting the experimental CN values. In this study, the reliability of the CN method in reproducing plot runoff is analysed by using data collected at the Sparacia erosion plots (Sicily, Southern Italy), which are characterised by different sizes and steepness. This investigation aimed to test the possibility of using simulated runoff within universal soil loss equation (USLE)-type models, including runoff as a term in the erosivity factor. This analysis pointed out that the experimentally determined value of the initial abstraction ratio of the CN method was very low (0.0001). For each plot type (i.e., fixed length and steepness), the calibration was performed for 18 combinations of three rainfall ranges (all data, rainfall depth less than the median, and exceeding the median), two calibration approaches (least-squares and median value) and three datasets (all data, interrill, and rill). The best CN model fit was systematically produced for data with rainfall depth less than the median. The least-squares calibration approach generally performed slightly better than the median value one. Results showed that the CN method can be considered effective only for events producing rills. The CN values generally increased with plot steepness and decreased as plot length increased. For each plot type, CN tendentially increased for increasing soil moisture before the rainfall event, but moisture and rainfall depth were able to explain a minor part (from 19.5% to 41%) of CN variance. Finally, the USLE-MB that incorporates runoff simulated by the CN method was found to satisfactorily predict (relative standard error = 0.69, Nash and Sutcliffe Efficiency Index = 0.54) event soil loss caused by simultaneous interrill and rill erosion due to the higher rainfall depths recorded at the Sparacia station.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70205","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A TOPSIS-Based Multicriteria Assessment of Hydrologic Model Calibration Using Satellite-Derived Evapotranspiration and Streamflow Data","authors":"Praveen Kalura,&nbsp;Ashish Pandey,&nbsp;V. M. Chowdary,&nbsp;Deen Dayal","doi":"10.1002/hyp.70191","DOIUrl":"https://doi.org/10.1002/hyp.70191","url":null,"abstract":"<div>\u0000 \u0000 <p>Hydrological models are often calibrated using in situ streamflow observations that include sufficiently long and continuous records. However, this process becomes challenging in poorly gauged or ungauged basins where such data is scarce. Even in gauged basins, relying solely on single-objective calibration using observed streamflow does not ensure reliable forecasts since optimising model parameters based only on streamflow does not guarantee that the model correctly represents all key processes. The calibration of hydrological models that integrate Earth observations with in situ measurements presents a promising approach to address the shortcomings of conventional streamflow-only calibration. This study introduces a novel technique for order of preference by similarity to ideal solution (TOPSIS)-based multivariate calibration framework that integrates satellite-derived evapotranspiration (ET) data from the Global Land Evaporation Amsterdam Model (GLEAM) with streamflow observations to enhance variable infiltration capacity (VIC) model performance in the Wardha River Basin, India. Four calibration strategies were evaluated: streamflow-only (S1), spatial ET constraints (S2), temporal ET constraints (S3) and spatiotemporal ET constraints (S4). The TOPSIS multiple-criteria decision analysis ranked calibration effectiveness across six gauging stations, with five used for independent validation. Results demonstrate that temporal ET calibration (S3) achieved a 10%–15% improvement in streamflow simulation efficiency (KGE) over streamflow-only calibration, with TOPSIS scores ranging from 0.65 to 0.90 across validation stations. S3 reduced peak flow overestimation by 20%–25% during monsoon periods, while spatiotemporal calibration (S4) improved soil moisture correlation with ESA-CCI observations by 22%.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598416","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of Hydrological and Catchment Biophysical Factors on Baseflow Dynamics in Two Neighbouring Micro-Catchments of the Andean Ecosystems","authors":"Nelson Quispe Cuadros,&nbsp;Yongping Wei,&nbsp;Rupesh Jayaram Patil","doi":"10.1002/hyp.70196","DOIUrl":"https://doi.org/10.1002/hyp.70196","url":null,"abstract":"<p>Baseflow is crucial for designing minimum flows to support ecosystems in headwater catchments. Yet, understanding of its dynamics and determinants remains limited. We employed an experimental paired catchment approach to investigate baseflow dynamics and its determinants in two neighbouring wet puna micro-catchments, Anduy and Shigual, located in the Andean wet puna ecosystems. We found significant seasonal variation in baseflow dynamics between the Anduy and Shigual catchments. Although mean baseflow indices were similar, Anduy exhibited sharper baseflow recession. With a strong predictive power (<i>R</i>² = 0.99), the multiple linear regression models identified that precipitation, streamflow, soil water depletion, baseflow, and deep percolation predicted baseflow dynamics in Anduy, with only streamflow, soil water depletion, and baseflow significantly affecting these dynamics in Shigual. These findings indicate that even neighbouring catchments with similar biophysical and hydrological characteristics may have different dominant hydrological processes. Our findings emphasise the need for catchment-specific minimum flow designs and highlight the importance of strategically managing land cover to balance baseflow magnitude and stability for dry-season water management.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70196","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144598275","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Precipitation Amount and Water Isotope Ratios in the OPEnS and Palmex RS1 Passive Collectors: Implications for High-Frequency Precipitation Sampling","authors":"Juan Camacho-Puerto,&nbsp;Ricardo Sánchez-Murillo,&nbsp;John S. Selker","doi":"10.1002/hyp.70195","DOIUrl":"https://doi.org/10.1002/hyp.70195","url":null,"abstract":"&lt;p&gt;For decades, precipitation passive collectors for water stable isotopes (δ&lt;sup&gt;2&lt;/sup&gt;H, δ&lt;sup&gt;18&lt;/sup&gt;O and &lt;i&gt;d&lt;/i&gt;-excess) analysis have been debated regarding secondary fractionation, sample integrity over time and sampling costs. This study compares the performance of precipitation (&lt;i&gt;N&lt;/i&gt; = 36 events) passive collectors for water isotope analysis in the Dallas-Fort Worth Metroplex (north-central Texas, USA). Three systems were compared: (1) the low-cost OPEnS collector (version 3.0), (2) the Palmex RS1 collector alone and (3) the Palmex RS1 collector combined with a portable autosampler for sub-daily sampling. Our results showed no significant variation in the annual arithmetic mean between OPEnS and the other sampling systems. Statistical evaluations between the OPEnS and Palmex RS1 and Palmex-autosampler yielded &lt;i&gt;p&lt;/i&gt; values of 0.545 and 0.921 for δ&lt;sup&gt;18&lt;/sup&gt;O, 0.789 and 0.886 for δ&lt;sup&gt;2&lt;/sup&gt;H and 0.410 and 0.937 for &lt;i&gt;d&lt;/i&gt;-excess, respectively. The annual precipitation weighted means of δ&lt;sup&gt;18&lt;/sup&gt;O, δ&lt;sup&gt;2&lt;/sup&gt;H and &lt;i&gt;d&lt;/i&gt;-excess were −4.25‰ ± 1.94‰, −21.2‰ ± 15.1‰ and 12.8‰ ± 7.1‰ for the OPEnS collector; −3.59‰ ± 1.59‰, −18.5‰ ± 13.7‰ and 10.2‰ ± 5.4‰ for the Palmex RS1; and −4.69‰ ± 2.36‰, −23.4‰ ± 16.7‰ and 14.1‰ ± 7.6‰ for the Palmex-autosampler setup. Strong linear correlations were observed between OPEnS and both Palmex RS1 (δ&lt;sup&gt;18&lt;/sup&gt;O: &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.97, δ&lt;sup&gt;2&lt;/sup&gt;H: &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.98 and &lt;i&gt;d&lt;/i&gt;-excess: &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.97) and Palmex-autosampler (δ&lt;sup&gt;18&lt;/sup&gt;O: &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.87 and δ&lt;sup&gt;2&lt;/sup&gt;H: &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.93), while the correlation for &lt;i&gt;d&lt;/i&gt;-excess was weaker (&lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.72) with the autosampler setup. The best agreement in precipitation amounts was found between OPEnS and Palmex RS1 (&lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.91). Combining the Palmex with an autosampler resulted in a lower precipitation amount performance (&lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.59). Precipitation amount discrepancies may occur because of (i) the vertical instability in the OPEnS collector during windy and heavy rainfall conditions, and (ii) the Palmex-autosampler mechanical challenges related to ponding or residual water in the connecting vinyl tubing and distributor's arm movement across the 24-bottle carousel. Meteoric water lines suggest a larger influence of secondary evaporation when using the Palmex-autosampler setup (δ&lt;sup&gt;2&lt;/sup&gt;H = 6.55 × δ&lt;sup&gt;18&lt;/sup&gt;O + 5.36; &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.84) compared to the OPEnS collector (δ&lt;sup&gt;2&lt;/sup&gt;H = 7.33 × δ&lt;sup&gt;18&lt;/sup&gt;O + 8.87; &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.84) and Palmex RS1 (δ&lt;sup&gt;2&lt;/sup&gt;H = 7.56 × δ&lt;sup&gt;18&lt;/sup&gt;O + 8.52; &lt;i&gt;r&lt;/i&gt;&lt;sup&gt;2&lt;/sup&gt; = 0.85). The OPEnS collector is a consistent, cost-effective and reliable alternative for precipitation sampling that is similar to the Palmex RS1 collector. Autosampler assemblages to Palmex RS1 or other in-house collectors should be carefully tested and revised regarding precipita","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70195","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144581984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modelling of the Seasonal Snow Cover Dynamics for Open and Forested Areas in the Berchtesgaden National Park (Germany) Using the openAMUNDSEN Mountain Snow Cover Model","authors":"Brage Storebakken,&nbsp;Erwin Rottler,&nbsp;Michael Warscher,&nbsp;Ulrich Strasser","doi":"10.1002/hyp.70197","DOIUrl":"https://doi.org/10.1002/hyp.70197","url":null,"abstract":"<p>Mountain snowpacks represent an important source of freshwater whereby most of the seasonally snow-covered mountain areas are partly forested. Hence, an understanding of the effect of the forest canopy, on top of topographical variations, on the build-up and melt of a seasonal snow cover is important, for example, for water resources management. In this study, we assess the seasonal snow cover dynamics for open and forested areas in the Berchtesgaden National Park (BGNP) located in South-East Germany, by applying the mountain snow model openAMUNDSEN. Station-based meteorological observations are processed and used to force model simulations in 3-hourly timesteps on a 50 × 50 m spatial grid for the time frame 10/2018 to 09/2023. We use point observations of snow, fractional snow cover maps from Sentinel-2 and wet snow maps based on Sentinel-1 to evaluate model results in the open. For the evaluation of the model results inside the forest, we utilise measured ground temperatures from a unique network of 150 microclimate loggers (TOMST TMS-4) and compare derived snow cover durations (SCDs) and the snow disappearance days (SDDs) to the simulations. The results show that openAMUNDSEN is capable of modelling the spatio-temporal variations of the snow cover depending on both topography and land cover in the BGNP. Our analysis indicates that the use of a combined dataset consisting of snow cover data derived from remote sensing, point observations in the open and measured ground temperature in the forest can overcome and compensate for limitations of individual data sources. Next steps in the development of the openAMUNDSEN model setup for the BGNP should include the refinement of lateral snow redistribution processes and the development of a forest type distribution map to better represent the small-scale variability of the leaf area index.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70197","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluating Watershed Response Using WEPPcloud—EU for Wildfire Burned Areas in Portugal","authors":"Marta Basso,&nbsp;Erin Brooks,&nbsp;Anurag Srivastava,&nbsp;Jacob Keizer,&nbsp;R. Peter Robichaud","doi":"10.1002/hyp.70182","DOIUrl":"https://doi.org/10.1002/hyp.70182","url":null,"abstract":"<p>WEPPcloud—European Union (EU) is an online interface of the Water Erosion Prediction Project (WEPP) model designed to predict streamflow and sediments in European forested watersheds. Although designed to be run in any location in Europe, its performance has not yet been evaluated against observed data. This study evaluates WEPPcloud—EU's performance in simulating streamflow and suspended sediment yield for two burned catchments, Ermida and Serra de Cima, in continental Portugal during the first year after the fire. The default parameters significantly underestimated streamflow and suspended sediment yield at the outlet of both catchments, suggesting the need for catchment-specific parameterization. Selected model input parameters (bulk density, sand, clay, organic matter and rock content) were changed based on existing information on local conditions at the beginning of an autocalibration procedure. This combined re-parameterization and autocalibration procedure (based on saturated hydraulic conductivity, anisotropy and baseflow coefficient) improved the performance of WEPPcloud—EU model, yielding satisfactory results for both streamflow and suspended sediment yield for both catchments. The autocalibration improved model accuracy, with predicted average streamflow from the default 3.3 to 6.3 mm day⁻¹ (observed 6.9 mm day⁻¹) and suspended sediment yield from 0.5 to 8.2 kg ha⁻¹ day⁻¹ (observed 11.7 kg ha⁻¹ day⁻¹) in the Ermida catchment. In Serra de Cima, predicted average streamflow improved from 1.8 to 1.9 mm day⁻¹ (observed 1.8 mm day⁻¹) and suspended sediment yield from 1.4 to 35.4 kg ha⁻¹ day⁻¹ (observed 28.5 kg ha⁻¹ day⁻¹). This study demonstrated WEPPcloud—EU potential as a decision-support tool for post-fire emergency stabilization in catchments in Europe. Future studies in different eco-regions in Europe are needed for a broader assessment of the model's potential, including for emergency stabilization scenarios and with an emphasis on the importance of existing local information for achieving satisfactory predictions.</p>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/hyp.70182","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144573716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A Framework to Quantify Drought Recovery Time Accounting for the Lagged Effect","authors":"Qian Zhu,&nbsp;Qing Wei,&nbsp;Ye Tian,&nbsp;Xichao Gao,&nbsp;Zhiyong Liu,&nbsp;Tiantian Yang","doi":"10.1002/hyp.70194","DOIUrl":"https://doi.org/10.1002/hyp.70194","url":null,"abstract":"<div>\u0000 \u0000 <p>Recovery time of ecosystems from drought is an important index to assess drought impacts and ecosystem resilience. The lagged effect reflects the drought resistance capacity of ecosystems and indicates the initial characteristic of drought recovery. However, prior studies quantifying drought recovery time overlooked the lagged effect. This study proposes a new method to quantify drought recovery time, which, for the first time, takes the lagged effect of drought on ecosystems into account. It categorises the progress from the onset of drought to the end of drought recovery into two distinct phases: the lag phase and the dynamic recovery phase, which are then integrated with drought duration to ascertain the post-drought recovery time (RT_p). Integrating the lagged effect into the quantification of RT_p facilitates the establishment of a coherent relationship between drought indices and recovery criteria, which typically rely on distinct parameters. Yangtze River Basin (YRB), the largest basin in China, is used as the case to validate our method. The results in YRB indicate that incorporating the lagged effect improves the accuracy of RT_p estimation and alleviates the discrepancies in its spatial–temporal distribution as assessed by three different drought recovery criteria. In contrast to prior research, this novel approach can also identify cases which achieve recovery before the end of drought events, a phenomenon predominantly observed in regions with low drought resistance. Our proposed method helps to reconcile the contradictory conclusions on quantifying global RT_p. As such, it appears to be a novel method that contributes to a more thorough comprehension of the drought recovery process.</p>\u0000 </div>","PeriodicalId":13189,"journal":{"name":"Hydrological Processes","volume":"39 7","pages":""},"PeriodicalIF":3.2,"publicationDate":"2025-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144537181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}