Journal of Hydrology-Regional Studies最新文献

{"title":"Season-land-use heterogeneity Bayesian Three-Cornered Hat (SLH-BTCH) for precipitation fusion in ungauged and sparsely gauged regions","authors":"Qiangwei Yu ,&nbsp;Xiaohua Dong ,&nbsp;Zengchuan Dong ,&nbsp;Yaoming Ma ,&nbsp;Xiang Cheng ,&nbsp;Xue'er Hu ,&nbsp;Chengqi Gong ,&nbsp;Bob Su ,&nbsp;Wenzhuo Wang","doi":"10.1016/j.ejrh.2026.103110","DOIUrl":"10.1016/j.ejrh.2026.103110","url":null,"abstract":"<div><h3>Study region</h3><div>The source region of the Yangtze River, a core part of the “Asian Water Tower,” has sparse gauges, cold high elevation, and complex relief. Together with strong climatic variability, these factors cause large precipitation-estimation errors that undermine hydrological modeling and meteorological assessments.</div></div><div><h3>Study focus</h3><div>We introduce the Season–Land-Use Heterogeneity Bayesian Three-Cornered Hat (SLH-BTCH), an enhancement of BTCH. Data are grouped by season–land-use strata; within each group we estimate error covariance and then fuse products by weighted averaging, using only multi-source precipitation fields—no in-situ priors. Using CHIRPS, CMFD, TPHiPr, and CHM-PRE, we assess daily performance of the originals, BTCH, and SLH-BTCH against ground observations, and include an equal-weight average (EWA) baseline to gauge the benefit of grouped error modeling.</div></div><div><h3>New hydrological insights for the region</h3><div>Compared with the original products, BTCH and equal-weight averaging, SLH-BTCH yields event timing and seasonal precipitation more consistent with gauges while reducing storm-intensity bias and day-to-day noise across contrasting land-surface types. Around key headwater stations (Tuotuohe, Wudaoliang, Zhiduo) this sharpens damaging-storm signals and reduces false alarms, providing tighter basin water-balance closure and more reliable flood simulation, routing and dry-season water-availability estimates in ungauged, data-sparse sectors of the Tibetan Plateau.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103110"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981487","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}

{"title":"Spatio – temporal hydrological cycle characteristics in the upper reaches of the Yangtze River: A multi-source remote sensing and machine learning perspective","authors":"Yang Shi ,&nbsp;Yousheng Zhang ,&nbsp;Minglei Hou ,&nbsp;Jiahua Wei","doi":"10.1016/j.ejrh.2026.103142","DOIUrl":"10.1016/j.ejrh.2026.103142","url":null,"abstract":"<div><h3>Study region</h3><div>The upper reaches of the Yangtze River (URYR) of China</div></div><div><h3>Study focus</h3><div>This study investigates the spatio-temporal variations of hydrological cycle components in the upper reaches of the Yangtze River (URYR) from 1980 to 2030 using multi-source remote sensing data and machine learning. A long short-term memory network with an attention mechanism (LSTM-AT) is initially developed to predict exploitable water resources (<em>EWR</em>) in the URYR.</div></div><div><h3>New hydrological insights for the region</h3><div>Significant spatial and temporal variations are identified over the past four decades (1980–2015) and projected through 2030. Precipitation ranges from about 230 mm in the arid northwest to over 1600 mm in the humid southeast, with evapotranspiration varying from less than 100 mm at high altitudes to over 800 mm in low-lying areas. Runoff and terrestrial water storage exhibit similar spatial gradients, and runoff shows strong dependence on precipitation, particularly in the Min–Tuo River basin. LSTM-AT predictions suggest that the regional water balance remains dynamically stable, while <em>EWR</em> in the upper Jinsha River shows a fluctuating upward trend of 2.13 ± 0.87 mm/yr, underscoring the need for adaptive water resource management under ongoing environmental change. By leveraging an attention-based deep learning framework and interpretable feature-weight analysis, this work also provides new insight into the dominant hydro-climatic and human-regulation drivers shaping annual water availability in this highly regulated basin.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103142"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145981835","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}

{"title":"Thresholds of bank collapse in the Middle and Lower Yangtze River: A framework for early bank collapse warning using multi-source remote sensing","authors":"Jing Deng ,&nbsp;Kebing Chen ,&nbsp;Zhiwei Li ,&nbsp;Jing Yuan ,&nbsp;Lingling Zhu","doi":"10.1016/j.ejrh.2026.103189","DOIUrl":"10.1016/j.ejrh.2026.103189","url":null,"abstract":"<div><h3>Study region</h3><div>The Middle and Lower Yangtze River, China.</div></div><div><h3>Study focus</h3><div>This study integrates multi-source remote sensing data (Landsat and Google Earth) and field-measured topographic data to establish a quantitative framework for identifying bank collapse, which progresses from large-scale screening to localized analysis. Using Google Earth Engine (GEE), we automated the extraction of banklines from 2004 to 2024 and employed the Digital Shoreline Analysis System (DSAS) to quantify the erosion rate. After an initial large-scale screening, six high-risk river segments (e.g., Xiangjiazhou, Qigongling) were selected for detailed analysis, where five key bank collapse indicators were quantified: bank slope, toe erosion slope, Bank-Groove Elevation Difference, Main Stream Proximity Distance, and bankline change rate.</div></div><div><h3>New hydrological insights for the region</h3><div>Spatially varying thresholds were identified: bank slope (0.1–0.5), toe erosion slope (0.1–0.25), Bank-Groove Elevation Difference (&gt;15 m), and Main Stream Proximity Distance (0.3–0.5 times the channel width). Following the implementation of systematic bank protection after 2015, erosion rates were reduced by 20–30 %. Unprotected banks, however, saw an acceleration in collapse rates. The channel incision induced by the Three Gorges Dam increased instability in unprotected areas, while protected segments showed stable morphodynamics. This study provides a quantitative analysis of bank collapse risk indicators for the Middle and Lower Yangtze River, offering scientific methods and evidence for intelligent bank collapse screening.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103189"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079809","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}

{"title":"Geological knowledge and land use: Key drivers in determining natural background levels of groundwater contaminants arsenic, radon, and fluoride in the volcanic area of Viterbo (Central Italy)","authors":"Giulia Felli ,&nbsp;Paolo Ciampi ,&nbsp;Leonardo Maria Giannini ,&nbsp;Ebrahim Ghaderpour ,&nbsp;Carlo Esposito ,&nbsp;Marco Petrangeli Papini","doi":"10.1016/j.ejrh.2026.103194","DOIUrl":"10.1016/j.ejrh.2026.103194","url":null,"abstract":"<div><h3>Study region</h3><div>The volcanic–sedimentary domain of Viterbo (Central Italy), a region characterized by complex hydrogeology, naturally elevated arsenic, fluoride, and radon concentrations, and intense industrial land-use pressures.</div></div><div><h3>Study focus</h3><div>Understanding the combined influence of geological and anthropogenic factors on groundwater quality is essential for sustainable water resource management. This study develops an integrated regional screening framework to distinguish geogenic from anthropogenic contributions to groundwater contamination in complex hydrogeological settings, even when data availability is limited. A dataset of 659 groundwater samples was integrated with geological, structural, and land-use information within a geographic information system. Multivariate statistical analysis based on principal component analysis was combined with spatial analysis to identify dominant environmental controls and screen samples potentially influenced by human activities prior to natural background level estimation.</div></div><div><h3>New hydrological insights for the region</h3><div>Radon concentrations are predominantly controlled by geological factors, particularly ignimbrite formations and fault systems, confirming a geogenic origin. In contrast, arsenic and fluoride exhibit mixed controls, reflecting natural background conditions locally amplified by industrial and agricultural land use. The screening framework enabled the identification and exclusion of anthropogenically influenced samples, as well as the estimation of representative regional natural background levels: 57 µg/L for arsenic, 2.80 mg/L for fluoride, and 187 Bq/L for radon. The proposed workflow provides a robust and reproducible tool for groundwater quality screening and supports informed assessment of natural background levels in hydrogeologically complex and anthropized regions.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103194"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173871","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}

{"title":"Comparative assessment of environmental water requirements and river flow health in the Ghezel-Ozan River, Iran","authors":"Kazem Sadeghian ,&nbsp;Mehdi Vafakhah ,&nbsp;Sayed M. Bateni ,&nbsp;Mohammad Hasan Naderi ,&nbsp;Jaber Aazami ,&nbsp;Mohammad Sadegh Alavi-Yeganeh","doi":"10.1016/j.ejrh.2026.103203","DOIUrl":"10.1016/j.ejrh.2026.103203","url":null,"abstract":"<div><h3>Study Region</h3><div>This study examines the Divandarreh-Bijar watershed, which covers an area of 5560.16 km² and through which the 180 km-long Qezlozan River flows, originating from the Chehel Cheshme Mountains.</div></div><div><h3>Study Focus</h3><div>This study assesses the suitability of the Ghezel-Ozan River for the native fish Capote razii in western Iran by applying conventional hydrological methods, hydraulic techniques, and model-based habitat-suitability approaches, and by evaluating the flow regime using the Flow Health Tool.</div></div><div><h3>New Hydrological Insights for the Region</h3><div>The main findings of this study are the following: (1) Capoeta razii has been identified as an ecological indicator species occurring in all types of mesohabitats; (2) The greatest fish diversity was found in the habitats of the run and riffle of the river rafts; (3) The deviation of the flow regime has increased considerably after 2012 as a result of the operation of the dams; (4) The EWRs ranged from 0.33 to 43.9 m3/s according to the different methods; (5) The Habitat Suitability model was the most representative of the environmental needs; and (6) To protect 75 % of suitable habitats, a minimum average flow of 10.09 m3/s is required. The best method to estimate environmental flows is to consider river health and the habitat requirements of native species.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103203"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173851","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}

{"title":"Decoding the hydroclimatic variability in the Minjiang River, Southeast China: The influence of ENSO, PDO, AO, and anthropogenic regulations","authors":"Xiaohe Lai ,&nbsp;Xuan Lin ,&nbsp;Huangjie Zou ,&nbsp;Yan Liu ,&nbsp;Qianli Sun ,&nbsp;Aijun Wang ,&nbsp;Feng Cai","doi":"10.1016/j.ejrh.2026.103192","DOIUrl":"10.1016/j.ejrh.2026.103192","url":null,"abstract":"<div><h3>Study region</h3><div>Minjiang River (MJR), Southeast (SE) China</div></div><div><h3>Study focus</h3><div>The hydrological response mechanisms of rivers to coupled climatic and anthropogenic influences remain insufficiently understood. To address this gap, we analyzed the hydrological and climatic variations of the MJR using a suite of approaches, including the Bayesian Estimator of Abrupt Change, Seasonality and Trend (BEAST), Double Mass Curve (DMC), Continuous Wavelet Transform (CWT), Wavelet Coherence (WTC), and Multiscale Wavelet-Bayesian Coupled Regression (MWBCR).</div></div><div><h3>New hydrologic Insights</h3><div>The results revealed that sediment load exhibited an interannual (7-a, ENSO-like) periodicity, with a significant reduction due to damming prior to 1993, whereas its decadal (PDO-like) signal was obscured by intensive human interventions. Precipitation and water discharge fluctuated within a relatively narrow range but showed distinct interannual and decadal periodicities, reflecting the combined influences of the Arctic Oscillation (AO), ENSO, and PDO. Since the 1990s, precipitation variability has been strongly associated with frequent AOI shifts. Moreover, higher precipitation variability was closely linked to in-phase La Niña–cold PDO events, which enhanced typhoon landfalls in SE China. In contrast, out-of-phase ENSO–PDO conditions corresponded to relatively drier and less variable hydroclimatic conditions, characterized by reduced precipitation and fewer typhoon occurrences.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103192"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146173848","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}

{"title":"Effective porosity in carbonate rocks from the Betic Cordillera (southern Spain): A regional dataset for reservoir and aquifer characterization","authors":"Carlos Marín-Lechado ,&nbsp;Antonio Pedrera ,&nbsp;Antonio González-Ramón ,&nbsp;Ana Ruiz-Constán ,&nbsp;Antonio Luis Molina ,&nbsp;Antonio Pulido-Bosch ,&nbsp;Iñaki Vadillo ,&nbsp;Concepción Fernández-Leyva ,&nbsp;Mónica Reyes ,&nbsp;Nuria Naranjo-Fernández ,&nbsp;Antonio Lope Morales ,&nbsp;Sergio Martos-Rosillo","doi":"10.1016/j.ejrh.2026.103173","DOIUrl":"10.1016/j.ejrh.2026.103173","url":null,"abstract":"<div><h3>Study region</h3><div>The Betic Cordillera (southern Spain) comprises carbonate formations ranging from Paleozoic to Cenozoic age, distributed across the Internal, Subbetic, and Prebetic domains. These include metamorphic marbles as well as non-metamorphic limestones and dolostones deposited in contrasting tectonostratigraphic settings.</div></div><div><h3>Study focus</h3><div>This study compiles and statistically characterizes 866 laboratory-measured effective (open) porosity values from carbonate rocks of the Betic Cordillera. Porosity was determined following the UNE-EN 1936:2007 standard. The dataset shows a strongly right-skewed distribution, with porosity values ranging from 0.03 % to 36.8 % and a median of 1.5 %. Porosity magnitude and variability systematically increase toward younger stratigraphic units.</div></div><div><h3>New hydrological insights</h3><div>The lowest porosity values are associated with Internal Zone metamorphic marbles and the Middle–Late Jurassic Ammonitico Rosso Formation, whereas the highest porosities occur in Upper Cretaceous and Cenozoic carbonates. A statistically significant inverse linear relationship between apparent (bulk) density and effective porosity is observed for both limestones and dolostones, supporting the use of bulk-density data as a first-order regional proxy for porosity estimation. The compiled database provides first-order constraints relevant to the matrix-controlled hydraulic behavior of Betic carbonate aquifers and supports preliminary, screening-level assessments of subsurface storage capacity. The applicability of the dataset is limited to regional-scale analyses and does not account for fracture or conduit permeability. Despite these limitations, the dataset contributes to groundwater-resource assessments, preliminary screening of geological formations for CO₂ and H₂ storage, and evaluations of durability in carbonate dimension stones.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103173"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146174225","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}

{"title":"Evaluating the three-cornered hat method for hourly satellite precipitation fusion in hydrological forecasting: A case study in a Tropical Andean Basin","authors":"Patricio Luna Abril ,&nbsp;Paul Muñoz ,&nbsp;Esteban Samaniego ,&nbsp;David F. Muñoz ,&nbsp;María José Merizalde ,&nbsp;Mario Lillo-Saavedra ,&nbsp;Rolando Célleri","doi":"10.1016/j.ejrh.2026.103163","DOIUrl":"10.1016/j.ejrh.2026.103163","url":null,"abstract":"<div><h3>Study region</h3><div>Jubones River Basin, a tropical mountainous basin in the Andes, Ecuador.</div></div><div><h3>Study focus</h3><div>Satellite precipitation products (SPPs) are essential for hydrological forecasting in data-scarce regions, yet their uncertainties increase at hourly timescales. This study evaluates the applicability of the Three-Cornered Hat (TCH) method for satellite-only precipitation fusion at hourly resolution and its hydrological value for machine learning–based runoff forecasting. TCH was applied to fuse IMERG, PERSIANN, and GSMaP precipitation estimates, and Random Forest runoff forecasts were developed for increasing lead times from 3 to 24 h. Results were benchmarked against a single-source SPP (IMERG-ER) and the multi-source MSWEP dataset, with particular emphasis on numerical issues arising during no-precipitation periods.</div></div><div><h3>New hydrological insight</h3><div>(1) Frequent dry periods induce strong statistical dependence among SPPs, leading to singular difference covariance matrices that disable the classical TCH formulation. (2) Introducing Tikhonov regularization permits consistent application of the method without altering precipitation magnitudes or temporal variability, enabling continuous satellite-only fusion. (3) Runoff forecasting skill is comparable across precipitation scenarios; MSWEP slightly outperforms others in NSE, KGE, and RMSE, while the TCH-based product consistently reduces bias. Overall, although regularized TCH is technically feasible for hourly precipitation fusion, its added value for operational runoff forecasting is limited under dry-hour-dominated conditions. These findings highlight both the potential and constraints of satellite-only fusion for near-real-time hydrological forecasting in data-scarce regions.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103163"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146079718","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}

{"title":"Study on regional nonlinear seepage flow combining indoor tests and numerical simulation","authors":"Yanrong Zhao ,&nbsp;Haonan Wang ,&nbsp;Jinguo Wang ,&nbsp;Yikai Yang ,&nbsp;Xiaosong Dong ,&nbsp;Zhiheng Ma","doi":"10.1016/j.ejrh.2026.103157","DOIUrl":"10.1016/j.ejrh.2026.103157","url":null,"abstract":"<div><h3>Study region</h3><div>The Xixiayuan area on the northern bank of the Yellow River in Luoyang, Henan Province, China, is characterized by a typical riverbank dual-structure aquifer system with high permeability. The Yellow River boundary water level is elevated, resulting in strong inward recharge within the region.</div></div><div><h3>Study focus</h3><div>In seepage analysis and modelling, the influence of non-Darcy effects cannot be neglected. However, most seepage problems are still directly simplified as linear flow, which can lead to substantial errors. In this study, a local-scale physical model test is used to investigate nonlinear seepage behaviour at the local scale, and two parameters are proposed to identify flow regime transitions: the nonlinear hydraulic conductivity <em>K</em>_<em>F</em> and the non-Darcy effect parameter <em>δ</em>, which quantifies the degree of nonlinearity. To further assess the impact of nonlinear seepage on regional-scale groundwater level distribution, a nonlinear partial differential governing equation is derived from the Forchheimer equation. A numerical simulation code is then developed to model the nonlinear seepage field at the regional scale; it directly uses parameters obtained from indoor tests without additional adjustment of fluid or medium properties, thereby avoiding secondary parameter tuning. These findings provide a new approach for mechanistic investigation and numerical simulation of similar nonlinear seepage fields.</div></div><div><h3>New hydrological insights for the region</h3><div>Field sampling were used to investigate the nonlinear seepage behaviour of the sand–gravel medium at the local scale. Analysis of the test data and parameter <em>K</em>_<em>F</em> trends shows that, owing to the granular structure of the sand–gravel deposits, seepage within the porous matrix tends to become nonlinear even at relatively low seepage velocities. Building on these results, a regional seepage field was simulated numerically. Using field observations as the benchmark, the independently developed regional-scale nonlinear seepage model reproduces the actual seepage conditions more accurately than a conventional linear model, reducing inflow prediction errors by approximately 40 % and producing maximum hydraulic gradients along the excavation slope that are about 16 % higher. These results have practical implications for hydraulic design in riverbank engineering and for preventing and mitigating seepage-induced failures.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103157"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024547","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}

{"title":"Spatiotemporal evolution of permafrost deformation and active layer thickness in the eastern Qilian Mountains based on an enhanced multi-temporal InSAR","authors":"Hongyu Zhou ,&nbsp;Guanjun Wei ,&nbsp;Yuncong Zhu ,&nbsp;Xiying Dou","doi":"10.1016/j.ejrh.2026.103151","DOIUrl":"10.1016/j.ejrh.2026.103151","url":null,"abstract":"<div><h3>Study region</h3><div>The eastern Qilian Mountains, located on the northeastern margin of the Tibetan Plateau, span elevations from ∼2600 to 5300 m around the Menyuan area. It is characterized by cold, alpine climatic conditions and hosts both permafrost and seasonally frozen ground, which are highly sensitive to climate change and have important hydrological and ecological implications.</div></div><div><h3>Study focus</h3><div>This study develops an enhanced multi-temporal InSAR framework to monitor frozen ground dynamics in the eastern Qilian Mountains using Sentinel-1 data from 2014 to 2024, with a particular focus on the permafrost–seasonally frozen ground transition zone around Menyuan. It addresses key challenges in permafrost monitoring by implementing a co-seismic deformation separation model, a Common Scene Stack (CSS)-based atmospheric correction method, and a time-series decomposition model with linearly varying annual amplitude to capture evolving freeze-thaw behavior under climate change.</div></div><div><h3>New hydrological insights for the region</h3><div>The results reveal clear hydrological and thermal contrasts between permafrost and seasonally frozen ground. Seasonally frozen ground exhibits higher seasonal deformation amplitudes, more rapid interannual changes, and shorter thermal response lags compared to permafrost, reflecting its more dynamic hydrothermal regime. The estimated freeze-thaw layer thickness ranges from 0 to 5.3 m, with thinning trends in seasonally frozen ground at lower elevations and slight thickening of active layers in high-elevation permafrost. These findings highlight ongoing frozen ground degradation and provide new insights into subsurface water-energy interactions and long-term cryospheric responses to climate warming in alpine environments.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"64 ","pages":"Article 103151"},"PeriodicalIF":5.0,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146024587","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}