Journal of Hydrology最新文献

{"title":"Blending daily satellite precipitation product and rain gauges using stacking ensemble machine learning with the consideration of spatial heterogeneity","authors":"Chuanfa Chen,&nbsp;Jinda Hao,&nbsp;Shufan Yang,&nbsp;Yanyan Li","doi":"10.1016/j.jhydrol.2025.133223","DOIUrl":"10.1016/j.jhydrol.2025.133223","url":null,"abstract":"<div><div>Blending satellite precipitation products (SPPs) with rain gauge observations through machine learning (ML)-based methods offers a proficient means of achieving high-accuracy precipitation data. However, traditional ML methods often neglect the spatial heterogeneity of precipitation across the study area, and the unique strengths of individual ML models remain underutilized. To address these challenges, this paper proposes a stacking ensemble learning approach that accounts for spatial heterogeneity for blending SPPs with rain gauge data to produce highly accurate precipitation estimates. Specifically, the study area is segmented into several homogeneous zones to mitigate spatial heterogeneity, with each grid cell within these zones assigned a uniform identifier (ID). Furthermore, a stacking ensemble ML framework which takes the ID as an input feature is developed to merge SPPs and rain gauge observations. To evaluate the performance of our proposed method, we blended daily IMERG data and rain gauge observations spanning from 2016 to 2020 across the Chinese mainland, benchmarking it against seven ML methods and the original IMERG data. The experimental results provide several key insights: (i) Data-driven adaptive clustering emerges as an efficient tool for addressing the challenge of spatial heterogeneity in high-quality precipitation estimation. (ii) Across multiple temporal scales, the proposed method outperforms the classical ML-based methods. Notably, at the daily scale, it improves upon the classical approaches by at least 2.4 % in Mean Absolute Error (MAE), 0.76 % in Root Mean Square Error (RMSE), 1.4 % in Correlation Coefficient (CC), and 1.4 % in Kling-Gupta Efficiency (KGE). Furthermore, at the monthly and seasonal scales, it reduces MAE by at least 2.3 % and 2.8 %, respectively, and enhances KGE by at least 0.9 % and 1.1 %. (iii) The spatial distribution of precipitation estimated by the proposed method aligns more closely with rain gauge observations compared to the classical methods. (iv) The ID feature plays a crucial role in precipitation estimation, ranking first and second in terms of feature importance for 39.6 % and 33.9 % of days, respectively, over the five-year period. (v) The proposed method generates positive incremental values at 69 % of rain gauge stations, demonstrating greater added value compared to the classical methods. Overall, the proposed method can be regarded as an effective tool for generating high-accuracy daily precipitation products.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133223"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Highly trapped terrestrial dissolved organic matter fuels dissolved greenhouse gases of ice-covered boreal steppe lakes","authors":"Xiaoguang Xu ,&nbsp;Jiasen Yang ,&nbsp;Jin Gao ,&nbsp;Xin Zhang ,&nbsp;Wenlin Wang ,&nbsp;Yulong Tao ,&nbsp;Wen Ao ,&nbsp;Bo Liu ,&nbsp;Guoxiang Wang","doi":"10.1016/j.jhydrol.2025.133227","DOIUrl":"10.1016/j.jhydrol.2025.133227","url":null,"abstract":"<div><div>Although lakes are widely recognized as a significant source of greenhouse gas (GHG) emissions, it is worth nothing that boreal ice-covered period lakes are frequently overlooked in annual GHG budgets, leading to considerable uncertainly in estimating their fluxes. This uncertainty is closely linked to the dominant pool of dissolved organic matter (DOM), as its biodegradability and stability can significantly influence GHG budgets. For better understanding the potential impact of DOM sources and structure on GHG emissions, this study systematically investigated the primary dissolved GHGs, as well as the sources and distribution of DOM in a boreal steppe lake basin during the ice-covered period. The concentrations of dissolved CO₂, CH₄, and N₂O ranged from 27.9 to 33.1, 0.070–0.139, and 0.054–0.056 μmol L^-1, respectively, and exhibited spatial similarities with higher levels observed in the inflowing rivers compared to those in lakes. Three aromatic humus components were identified via the spectral characteristics of DOM, and subsequent molecular composition analysis further revealed that tannin and lignin were the primary components of DOM. The aromatic humus DOM showed a significant positive correlation with GHGs, as did the microbial indicators, suggesting that the trapped terrestrial DOM in the boreal steppe lake basin during the ice-covered period contributed to the storage of dissolved GHGs. Microorganisms isolated under the ice utilized DOM for respiration, degradation, nitrification and denitrification, resulting in the production of a considerable amount of GHGs. Furthermore, the presence of ice cover accelerates the accumulation of dissolved GHGs. Therefore, it is crucial to consider the massive GHG release during the thawing period to accurately evaluate GHG emissions in freshwater bodies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133227"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Deglacial and Holocene precipitation seasonality on the central Tibetan Plateau","authors":"Qingfeng Ma ,&nbsp;Liping Zhu ,&nbsp;Junbo Wang ,&nbsp;Jianting Ju ,&nbsp;Ruimin Yang ,&nbsp;Yong Wang ,&nbsp;Xinmiao Lü","doi":"10.1016/j.jhydrol.2025.133224","DOIUrl":"10.1016/j.jhydrol.2025.133224","url":null,"abstract":"<div><div>Variations in precipitation seasonality have a profound impact on aspects of the climatic component, social activities and ecological processes. Reconstructing the precipitation seasonality during the deglaciation and Holocene, can improve our understanding of how and why precipitation seasonality changes under different climate scenarios. Here we develop an indicator of seasonal precipitation weight (growing season precipitation to annual precipitation) based on a modern pollen dataset for the central and western Tibetan Plateau (TP), which is further applied to a fossil pollen record spanning the last deglaciation and Holocene from the central TP to reconstruct long-term variations in seasonal precipitation weight. Our reconstruction result, combined with modelled data from a transient simulation, shows that changes in the precipitation seasonality associated with shifts in the atmospheric circulation systems are distinct from those in annual precipitation amount. Our results suggest that changes in the westerlies driven by the Atlantic meridional overturning circulation (AMOC) dominate the precipitation seasonality during the last deglaciation and the Indian summer monsoon (ISM) dominates mainly in the Holocene, and confirm the important moisture contributions of the westerlies to the early Holocene humid conditions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133224"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Potential methane emissions from aquifer and coal seam gas groundwater extraction: Effect of open and closed sampling methods and new emission factors","authors":"Julie K. Pearce ,&nbsp;Harald Hofmann","doi":"10.1016/j.jhydrol.2025.133228","DOIUrl":"10.1016/j.jhydrol.2025.133228","url":null,"abstract":"<div><div>Greenhouse gas fugitive emissions contribute to climate change, of which 18 % are thought to be methane. Aquifer groundwater, and gas production water extraction are two potential fugitive emission sources. Aquifer groundwater is a vital water source composing ∼ 36 % of total water consumption worldwide. The world’s largest artesian basin, the Great Artesian Basin (GAB), Australia, has an estimated 322,327 GL/yr of groundwater extracted in Queensland for domestic, livestock, town water, irrigation and industrial use. Water is also produced with coal seam gas extraction. Dissolved methane was measured from deep and shallow GAB aquifers and coal seam gas production water via both closed and open sampling methods. The commonly used open sampling method can lose methane during the sampling process and underestimate concentrations. The resulting data were used to compare estimated methane fugitive emissions from groundwater extraction. This study compares the emissions obtained using the two sets of data from the two methods. A deep GAB aquifer, the Precipice Sandstone, has an estimated maximum methane emission of 1.89E-02 Tg/y using the closed sampling method, but only 2.28E-07 Tg/y using the open sampling method (Surat Basin, Queensland). The maximum estimated methane emission from coal seam gas (CSG) produced water in the whole state of Queensland is 1.88E-03 Tg/y using the closed method, however using the open sampling method it is only 9.56E-07 Tg/y. Considering only CSG produced water from the Surat Basin, the maximum estimated methane emission is 8.94E-04 Tg/y.</div><div>We suggest a new lower emission factor for CSG produced water based on actual dissolved gas measurements of 0.031 tonnes per ML produced water. <em>This is an order of magnitude less</em> than the Australian National Inventory Report CSG production water emission factor of 0.31 tonnes /ML (derived from a USA simulation study). We also suggest new, different, emission factors that could be applied to deep gassy aquifers, shallow aquifers, and aquifers containing interbedded coal. This study demonstrates that greenhouse gases from groundwater estimates can be affected by the gas concentration sampling method, of which there has still not been a standard robust and accepted method in Australia. More widespread groundwater methane sampling is urgently needed, especially for deep, old aquifers, to address the current uncertainties in emissions, along with the need for further characterization of the stable isotope signatures of the sources that may enable bottom-up attribution and allocation of gas from different sources.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133228"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760543","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"The dual role of irrigation in the groundwater budget under baseline conditions versus the 2022 drought: Lessons for future climate adaptation","authors":"Agnese Redaelli ,&nbsp;Tullia Bonomi ,&nbsp;Davide Sartirana ,&nbsp;Gianfranco Sinatra ,&nbsp;Marco Rotiroti ,&nbsp;Chiara Zanotti","doi":"10.1016/j.jhydrol.2025.133211","DOIUrl":"10.1016/j.jhydrol.2025.133211","url":null,"abstract":"<div><div>Groundwater is facing shortage scenarios worldwide due to a changing climate, but systems governed by different recharge processes may react differently. Hence, understanding groundwater budget components is critical for sustainable resource management. This study analyzes seasonal groundwater level patterns from ca. 60 wells, investigating different hydrogeological contexts and water management practices. In the first phase, data under baseline conditions (2013–2021) are analyzed to identify the average seasonal patterns and the associated recharge and discharge processes. Successively, the 2022 data is compared with baseline data to quantify the effect of the hydrological drought. Results show that in surface-water-fed irrigation areas, the absence of surface water during the 2022 summer, related to winter snow scarcity in the Alps, caused significant disruption of the typical groundwater seasonal profile. The winter groundwater table decrease was more than twice the average decrease under baseline conditions, and the summer rise was the 30% of the average rise under baseline conditions. This is related to the missing recharge and the increased abstraction of groundwater to fill the lack of surface water for irrigation needs. Therefore, in a scenario of dryer summers linked to climate change, the plausible transition toward more efficient irrigation methods or groundwater irrigation could cause severe groundwater depletion and compensation measures will be needed. Conversely, in groundwater-fed irrigation areas, the increased irrigation needs during the 2022 summer determined a summer groundwater depletion 76% wider than the average summer depletion under baseline conditions. Here, mitigation actions to reduce abstracted volumes, such as transitioning to more efficient irrigation systems, could reduce groundwater vulnerability to climate change. On the other hand, aquifer systems governed by natural recharge and discharge processes showed a wider pluriannual variability associated with dry and wet years and resulted less vulnerable to single dry seasons than highly anthropic systems.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133211"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760545","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"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":"Extreme rainfall drives the shift in dominant water quality “Sink” from forest land to grassland in the Yellow River Basin","authors":"Jinghui Dou ,&nbsp;Rui Xia ,&nbsp;Xinghui Xia ,&nbsp;Xiaohui Jiang ,&nbsp;Kai Zhang ,&nbsp;Yan Chen ,&nbsp;Lina Li ,&nbsp;Chao Yan","doi":"10.1016/j.jhydrol.2025.133218","DOIUrl":"10.1016/j.jhydrol.2025.133218","url":null,"abstract":"<div><div>The water quality of large rivers is influenced by complex interactions between natural factors and human activities. Understanding the interactive effects of landscape patterns of different land use types on the migration and transport pathways of pollutants under extreme rainfall conditions presents a significant challenge in interdisciplinary research. This study focuses on the Yellow River basin (YRB), a typical large-scale arid and semi-arid region globally, and develops a theoretical framework for landscape pattern and water quality responses to extreme rainfall based on the “source-sink” landscape theory. By coupling random forest and partial least squares structural equation modeling, we quantitatively reveal the transmission pathways and mechanisms among extreme rainfall, landscape patterns, and water quality. The results indicate that: (1) Over the past 70 years, the rainfall pattern in the YRB has undergone significant changes, with a continuous increase in the threshold for extreme rainfall. Spatially, high-value areas of extreme rainfall have formed in the middle reaches of the YRB, exhibiting spatial dependence with water quality; (2) The expansion of the largest agricultural land patches and built-up areas are the primary sources contributing to the deterioration of water quality in the YRB, with extreme rainfall significantly increasing the output of organic pollutants from these source landscapes; (3) Grassland aggregation (AI.G) and percentage of forest land (PLAND.F) serve as key sinks for water quality degradation, with extreme rainfall driving the dominant sink for water quality degradation in the YRB from forest to grassland. During extreme rainfall events, AI.G &gt; 91 % significantly enhances its capacity to filter and adsorb runoff pollutants, while during non-extreme rainfall events, increases in PLAND.F more effectively mitigate the scouring effects of rainfall. Therefore, in controlling water pollution in large-scale arid and semi-arid basins, it is crucial not only to manage anthropogenic organic pollutant emissions but also to recognize the importance of increasing AI.G in addressing watershed non-point source pollution caused by extreme rainfall.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133218"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Divergent hydrologic regimes of mega-rivers originated from High Mountain Asia uncovered by satellite virtual station-densified water levels","authors":"Fanxuan Zeng ,&nbsp;Shuqian Liu ,&nbsp;Kai Liu ,&nbsp;Tan Chen ,&nbsp;Chunqiao Song","doi":"10.1016/j.jhydrol.2025.133214","DOIUrl":"10.1016/j.jhydrol.2025.133214","url":null,"abstract":"<div><div>High Mountain Asia (HMA) is experiencing accelerated warming and moistening, whereas sparse monitoring networks hinder comprehensive characterization of mega-rivers’ divergent hydrologic regimes. We establish an easy-implementing and effective framework for densifying water level series using satellite virtual stations (VSs). Virtual station-derived water level models (VS-WLs) were established based on the empirical relationship between water level records from HYDROWEB or DAHITI and near-synchronous water area values derived from Sentinel-1 SAR images. All VS-WLs demonstrated good fit, with an average R² of 0.7858, and the densified water levels had an average root-mean-square error of 1.23 m. For 63 % of the VSs, temporal coverage was extended to encompass the entire 2017–2022 period, increasing the coverage by an average factor of 1.47. Additionally, observation frequency increased by an average of 7.26 times across all VSs, and the seasonal amplitude of water level fluctuations improved by an average of 1.22 times. In general, rivers exhibit stronger water level fluctuations in the southeast than that in the northwest, corresponding to the climatic wet-to-dry transition conditions. The Salween River had the greatest water level fluctuations, averaging 17.34 m, followed by the Mekong River at 10.76 m and the Yangtze River at 10.32 m. Peak water levels varied across basins, but with the peak generally occurring in the wet season (from April to September). Snowmelt, rainfall runoff, and glacier melt are primary contributors to these fluctuations. Additionally, tributary inflows exacerbate river level fluctuations downstream, although these impacts can be moderated by terrain and human control.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133214"},"PeriodicalIF":5.9,"publicationDate":"2025-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Mississippi embayment and coastal lowlands aquifer systems by groundwater stress index and regional groundwater model","authors":"Shuo Yang ,&nbsp;Frank T.-C. Tsai ,&nbsp;T. Prabhakar Clement","doi":"10.1016/j.jhydrol.2025.133201","DOIUrl":"10.1016/j.jhydrol.2025.133201","url":null,"abstract":"<div><div>The Mississippi embayment aquifer system (MEAS) and the coastal lowlands aquifer system (CLAS) provide substantial freshwater for human activities in the U.S. Gulf Coastal Plain. However, anthropogenic impacts on groundwater in both aquifer systems remain poorly understood, hindering effective groundwater management. This study presents a significant advancement in the groundwater stress assessment for the MEAS and the CLAS in the Louisiana and southwestern Mississippi region, focusing on groundwater availability and sustainability in response to natural and human dynamics at various spatial and temporal scales. To achieve these, a novel groundwater stress index (GSI) was introduced to quantify the influence of groundwater use on groundwater availability. This metric was rigorously compared with the widely recognized groundwater footprint index (GFI). The assessment employed a regional groundwater model, which was contrasted with the assessment based on the Gravity Recovery and Climate Experiment (GRACE)-derived groundwater storage data. The modeling assessment reveals net groundwater storage gain in the study region from 2004 to 2021. Nevertheless, critical groundwater stress levels were identified in specific aquifers of the MEAS and CLAS, indicating localized groundwater depletion and unsustainable groundwater use. The model highlights the impacts of river-aquifer interactions on seasonal variations of groundwater availability and stress. The long-term trend of simulated groundwater storage aligns with GRACE-derived data. Moreover, the model-based assessment suggests similar groundwater stress to the GRACE-based assessment on a regional scale. The comparison between GSI and GFI suggests that the GSI is an effective approach to quantifying groundwater stresses across various scales.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133201"},"PeriodicalIF":5.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739051","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characteristics and risk assessment of thermal pollution from stormwater runoff in urban lake","authors":"Jing Li ,&nbsp;Junqi Li ,&nbsp;Zimu Li ,&nbsp;Ziyu Cui ,&nbsp;Jiayue Jing ,&nbsp;Yue Zou ,&nbsp;Xiangyu Li ,&nbsp;Feng Xiong","doi":"10.1016/j.jhydrol.2025.133198","DOIUrl":"10.1016/j.jhydrol.2025.133198","url":null,"abstract":"<div><div>Urban expansion has led to changes in land use patterns, with the increased urban surface area replacing natural infiltration channels for stormwater. This can contribute to higher water temperatures of recipient water bodies, thus reducing the quality of aquatic ecosystems. Current research primarily focuses on the impact of thermal pollution on aquatic organisms and the effectiveness of low-impact development facilities in controlling thermal pollution. However, there is a lack of research addressing the capacity of water bodies to handle heat loads and control thermal pollution. This paper monitored the current thermal pollution of the underlying surface in the study area, and the characteristics of thermal pollution change at different periods of 6 h were analyzed. Additionally, a mathematical model was developed to incorporate the new parameter of lake thermal load carrying ratio (LTR) into the design of the Sponge City Renovation. The results showed that although the highest event runoff mean temperature was observed for rainfall events during the afternoon period, the total runoff thermal load was highest during the early morning period. The maximum LTR reached 145 % for the lake. Based on the LTR parameter to calculate the scale of plot modification, 16 % of the concrete underlayment in the Daxing campus can be modified into green space with the addition of 14,180 m² of bioretention facilities, which can effectively reduce the LTR value by up to 48 %, at which time the water body will no longer be exposed to the risk of thermal pollution. The LTR index can be utilized in low-impact development and renovation projects to effectively assess the thermal pollution risk of stormwater runoff generated by plots. This assessment holds high practical value for evaluating the environmental impact of such developments.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133198"},"PeriodicalIF":5.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Characterizing the capability of public DEMs for mapping global floodplain bathymetry","authors":"Yaling Lin ,&nbsp;Chenyu Fan ,&nbsp;Kai Liu ,&nbsp;Lingyang Liu ,&nbsp;Xinyuan Deng ,&nbsp;Pengju Xu ,&nbsp;Pengfei Zhan ,&nbsp;Xuefei Fu ,&nbsp;Chunqiao Song","doi":"10.1016/j.jhydrol.2025.133205","DOIUrl":"10.1016/j.jhydrol.2025.133205","url":null,"abstract":"<div><div>Digital elevation models (DEMs) play a significant role in floodplain management, including water inundation boundary delineation, flood modeling and forecasting, and risk assessment. The impact of spatio-temporal resolution and vertical accuracy of DEMs on flood modeling has been widely concerned in previous studies. However, due to variations in data acquisition season and geographical coverage of each DEM, it still remains unclear how much variation exists in the extent of exposed topography provided by different DEMs over the global floodplains. Furthermore, how to select and jointly use the various DEM data sources for achieving the maximum level of exposed topography coverage also requires to be further explored. This study selected three DEMs (SRTM DEM, ASTER DEM, and FABDEM) to evaluate their capability of offering the topographic exposure extent within global floodplains by proposing the topographic exposure index (TEI). The results show that the global average TEI is highest for SRTM DEM, followed by ASTER DEM, while FABDEM has the lowest average TEI. The difference in TEI distribution between FABDEM and the other two DEMs is the most significant. Moreover, the TEI of these three DEMs has remarkably inconsistent performances in spatial sub-zones. In regions such as southern China, central India, and Brazil, the TEI of SRTM DEM and ASTER DEM is significantly higher compared to FABDEM, largely influenced by human activities such as dam-induced reservoir water impoundment areas and aquacultures. In contrast, FABDEM shows significantly higher TEI than the other two DEMs in Canada and central Siberia, as well as in regions with saline lakes (e.g., the Great Salt Lake, Lake Razzaza), predominantly influenced by climatic and hydrologic features. The joint use of these three DEM datasets with appropriate fusing strategy may expand the exposed topographic area of global floodplains, at an equivalent magnitude of the Nile floodplain area (2.67 × 10⁵ km²).</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133205"},"PeriodicalIF":5.9,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143760548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}