Journal of Hydrology最新文献

{"title":"Rock dip angle affects relationship between slope hydrodynamic characteristics and soil detachment capacity: Evidence from land-use patterns of inverse and bedding slopes in karst trough valley","authors":"Fengling Gan ,&nbsp;Lisha Jiang ,&nbsp;Xiaohong Tan ,&nbsp;Hailong Shi ,&nbsp;Quanhou Dai ,&nbsp;Youjin Yan ,&nbsp;Junbing Pu ,&nbsp;Yuchuan Fan","doi":"10.1016/j.jhydrol.2025.132816","DOIUrl":"10.1016/j.jhydrol.2025.132816","url":null,"abstract":"<div><div>Unique geological conditions and irrational human activities have given rise to a highly serious issue of soil erosion in karst area. The soil detachment capacity (<em>D_c</em>) serves as a crucial indicator for comprehending and accurately predicting process-based soil erosion models, which is influenced by bedrock strata dip (<em>BSD</em>) modifying occurrence state and hydrodynamic characteristics on slopes. However, due to the combined effect of <em>BSD</em> and hydrodynamic characteristics on <em>D_c</em>, quantifying the impact and mechanisms of <em>BSD</em> and rock dip angle (<em>RDA</em>) on <em>D_c</em> in different land-use patterns of karst trough valley remains challenging. In this study, an indoor simulated scouring flume was used to examine the variation in <em>D_c</em> under two <em>BSD</em> conditions (bedding and inverse slope) and three <em>RDA</em> gradients (10°, 30°, and 60°), considering five land-use patterns (cropland, natural grassland, abandoned land, forestland, and shrubland) and three flow discharges (60, 80, and 100 L·min⁻¹). This study revealed that the flow pattern on the bedding slope exhibited a steeper inclination and higher turbulence than the inverse slope, accompanied by high hydrodynamic parameters and <em>D_c</em> values. Spatially, there was an increasing trend in the mean value of <em>D_c</em>, flow depth (<em>FD</em>), shear stress (<em>SS</em>), and stream power (<em>SP</em>) with increasing <em>RDA</em>, indicating that the influence of <em>BSD</em> on hydrodynamic characteristics was strengthened by the increasing <em>RDA</em>. Furthermore, crop-land exhibited a significantly higher <em>D_c</em> values and most of the soil properties compared to other land-use patterns, with natural grassland demonstrating the lowest value, illustrating that the altering land-use patterns can impact <em>D_c</em> through changes in soil properties. Moreover, the dominant contributor to <em>D_c</em> was found to be <em>SOM</em> at 35.4 %, with <em>FL</em>, <em>WSA</em>, <em>SP</em>, and <em>RDA</em> following in the order of decreasing contribution. A prediction model (<em>NSE</em> = 0.897, <em>R</em>² = 0.906, <em>P</em> &lt; 0.01) was developed to quantify the impact of <em>RDA</em>, soil properties, and hydrodynamic characteristics on <em>D_c</em> in karst mountain regions. This study provides valuable insights into elucidating the impact of <em>BSD</em> and land use changes on <em>D_c</em> and offering scientific references for facilitating soil and water loss control in these areas.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132816"},"PeriodicalIF":5.9,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395826","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":"Layered control of stream-groundwater interactions: Insights into regional hydrological connectivity in China’s Loess Plateau","authors":"Yun Xia ,&nbsp;He Su ,&nbsp;Wanzhou Wang ,&nbsp;Shujian Li ,&nbsp;Zhi Li","doi":"10.1016/j.jhydrol.2025.132807","DOIUrl":"10.1016/j.jhydrol.2025.132807","url":null,"abstract":"<div><div>Streamwater-groundwater interaction (SGI) plays a critical role in the exchange of water, energy, and contaminants in the terrestrial water cycle system. While shallow groundwater has traditionally been considered the primary contributor to streamflow, recent evidence suggests that deep fossil groundwater, which predates the Holocene, also discharges into rivers. However, the mechanisms driving SGI across different geological layers remain largely unknown. Here we examined SGI across five large watersheds (7,636–60,916 km²) in China’s Loess Plateau (CLP), using 651 streamwater and groundwater samples collected during dry and wet seasons and analyzed for isotopic and hydrochemical indicators. Our results revealed clear distinctions in the interactions between river water and shallow loess pore groundwater (LPG) or deep fissure groundwater (DFG). LPG exhibited one-way connectivity to streamwater, with an average groundwater discharge ratio of 24 %, whereas a two-way recharge and discharge system exist between DFG and rivers, with an average discharge ratio of 19 %. Both groundwater systems showed higher discharge ratios during the wet season than the dry season. Spatially, discharge ratios from LPG and DFG were lower in central CLP but increased towards the north and south. Loess thickness and geological formations primarily govern these patterns. While LPG primarily influences localized water exchange dynamics, DFG drives regional hydrological connectivity across multiple watersheds. Our findings provide new insights into the stratigraphic mechanisms controlling SGI, offering targeted strategies for sustainable water resource management in the CLP and similar regions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132807"},"PeriodicalIF":5.9,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143428193","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":"Decoding the nexus of surface water and groundwater in Northwestern China: Insights from long-term irrigation activities and numerical modeling","authors":"Lin Gan ,&nbsp;Litang Hu ,&nbsp;Zhongjing Wang ,&nbsp;Na Zhang ,&nbsp;Guiyu Yang ,&nbsp;Suyue Yu","doi":"10.1016/j.jhydrol.2025.132825","DOIUrl":"10.1016/j.jhydrol.2025.132825","url":null,"abstract":"<div><div>Accurately predicting surface water (SW)-groundwater (GW) exchanges is crucial for effective salinization control in arid and semi-arid agricultural areas. In this study, we developed a coupled SW-GW flow model for Qingtongxia Irrigation District (QID), which is the fourth-largest irrigation area in China with over 2,000 years of irrigation history. The model simulated canal diversions, GW level dynamics, and SW-GW fluxes among rivers, canals, ditches, and irrigation zones over the past 23 years. From 2000 to 2022, groundwater levels declined by −0.18, −0.45, and −0.04 m/yr across three major administrative zones, showing significant seasonal fluctuations. Furthermore, irrigation has a substantial impact on temporal changes in groundwater components and major fluxes. The interaction between GW and the Yellow River (YR) displayed highly heterogeneous temporal and spatial characteristics across the regions but showed a noticeable decreasing trend in the total yearly groundwater discharge to the YR, with a reduction of 8.4 × 10⁵ m³/yr. The Tanglai canal recorded the highest yearly diversion at 11.02 × 10⁸ m³, followed by the Huinong, Xigan, Hanyan, and Headwork canals. The average GW discharge to ditches accounted for over 25 % of the total SW-GW drainage to the YR from 2000 to 2022. Multi-scenario predictions indicate that reducing water diversions to 25 % of current levels over the next decade could lower average groundwater levels by up to 0.95 m, with the steepest declines in the Xigan and upper Huinong canals. This study provides a quantitative method for examining SW-GW interaction patterns, supporting sustainable groundwater management in salinization control.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132825"},"PeriodicalIF":5.9,"publicationDate":"2025-02-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386543","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":"Rainfall driven nitrate transport in runoff of hilly area by combining time-series monitoring of hydrochemistry and stable isotopes","authors":"Wenbo Zheng ,&nbsp;Shiqin Wang ,&nbsp;Heping Sun ,&nbsp;Yanjun Shen ,&nbsp;Jiansheng Cao","doi":"10.1016/j.jhydrol.2025.132830","DOIUrl":"10.1016/j.jhydrol.2025.132830","url":null,"abstract":"<div><div>Runoff has declined significantly or ceased in some of the mountain sub-catchments due to climate change and human activity over the past decades. Rainfall events with high intensity generated or increased runoff again, but the effect of accumulated pollutants in land surface and soil on variation of river water quality is not well understood. In this study, time-series (daily) water quality measurements of major ions, water stable isotopes (δ²H-H₂O, δ¹⁸O-H₂O) and nitrate (δ¹⁵N-NO₃^–, δ¹⁸O-NO₃^–) were measured. Combined with the Bayesian model (Stable Isotope Analysis in R), we investigated the effect of single extreme heavy precipitation event in July 2016 and multiple continuous heavy precipitation events in July 2021 on the dynamics and transport mechanisms of nitrate in river water in a typical hilly area of North China, where intensified anthropogenic activities occurred during past several decades. The results showed that the highest concentrations of NO₃^–-N (up to 22.3 mg/L), organic nitrogen (up to 31.8 mg/L) and total nitrogen (up to 55.12 mg/L) were observed in river water in July 2016. Nitrogen concentrations decreased after the single extreme heavy precipitation and remained at low levels through the sampling period. However, the mean concentrations of NO₃^–-N (12.93 mg/L), organic nitrogen (9.01 mg/L) and total nitrogen (23.57 mg/L) during the multiple continuous heavy precipitation were higher than that in the single extreme heavy precipitation, which showed continuous discharge of groundwater to river. The results of δ²H-H₂O and δ¹⁸O-H₂O in river water showed that the runoff mainly originated from the fast flow affected by the single extreme heavy precipitation, while runoff was dominated by the continuous recharge after the multiple continuous heavy precipitation in 2021. The SIAR results revealed that manure and chemical fertilizer were the main nitrate sources after the single extreme heavy precipitation in 2016, which contributed 7.5–42.6 % and 7.9–15.2 % of nitrate in river water, respectively. However, the contribution of manure and chemical fertilizer increased and ranged from 29.6 % to 91.8 % and from 7.3 % to 28.8 %, respectively after the multiple continuous heavy precipitation in 2021. Pollution of the hilly area with intensified anthropogenic activities occurred by a flush of nitrogen input following precipitation events; precipitation intensity is therefore an important factor for the water quality management. Reducing source availability during the wet season may facilitate reduction of nitrogen loading in similar hilly areas.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132830"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419517","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":"On the synchronization of compound drought and heatwave events over global land regions","authors":"Wenkai Lyu ,&nbsp;Xinguang He ,&nbsp;Binrui Liu ,&nbsp;Mingming Qin ,&nbsp;Ajiao Chen ,&nbsp;Huade Guan","doi":"10.1016/j.jhydrol.2025.132836","DOIUrl":"10.1016/j.jhydrol.2025.132836","url":null,"abstract":"<div><div>As global compound drought and heatwave (CDHW) events have shown a trend towards multi-regional concurrency, quantifying their synchronous structures and exploring potential drivers for synchronizing CDHW events are crucial for disaster prevention and mitigation. This study identifies global CDHW events based on daily soil moisture and maximum temperature during 1979–2022, and investigates the topological characteristics of concurrent CDHW events through complex network (CN) analysis. Subsequently, the potential physical drivers causing the spatial concurrence of CDHW events are explored based on their synchronous structures. Results show that high-incidence regions for CDHW events include eastern North America, northern and southeastern South America, northern Eurasia, Southeast Asia and the central Yangtze River Basin. The CN coefficients derived from the synchronization network unveil a highly heterogeneous connectivity structure underlying global CDHW events. In northern and southeastern South America, synchronous CDHW events primarily occur at a regional scale. In contrast, regions such as the Amazon, the Congo Basin and the Yangtze River Basin, which serve as important hubs within the synchronization network, can synchronize CDHW events with other hubs at an inter-continental or even inter-hemispheric scale. Hubs at high latitudes in the Northern Hemisphere predominantly synchronize CDHW events with remote places at similar latitudes. Furthermore, the simultaneous occurrences of CDHW events in western North America, western Russia and the Yangtze River Basin are strongly associated with sea surface temperature anomalies in the central Pacific, North Pacific, North Atlantic, and Barents Sea, while the synchronous CDHW event onsets across multiple regions in the middle and high latitudes of the Northern Hemisphere are closely relevant to Rossby waves. These insights are valuable for proposing adaptation measures for spatially synchronous CDHW events and predicting such events in the future.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132836"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395831","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":"An ensemble multi-model approach for long-term river flow forecasting in managed basins of the Middle East: Insights from the Karkheh River Basin","authors":"Mohammad Fallah Kalaki ,&nbsp;Majid Delavar ,&nbsp;Ashkan Farokhnia ,&nbsp;Saeed Morid ,&nbsp;Vahid Shokri Kuchak ,&nbsp;Hamidreza Hajihosseini ,&nbsp;Ali Shahbazi ,&nbsp;Farhad Nourmohammadi ,&nbsp;Ali Motamedi ,&nbsp;Mohammad Reza Eini","doi":"10.1016/j.jhydrol.2025.132846","DOIUrl":"10.1016/j.jhydrol.2025.132846","url":null,"abstract":"<div><div>In this study, we evaluated the accuracy of weather and river discharge forecasts for the Karkheh River Basin on the Iranian plateau. We utilized weather parameters from the North American Multi-Model Ensemble (NMME)—specifically precipitation and maximum and minimum temperature—for long-term weather forecasting and assessed their accuracy in runoff simulations using the Soil and Water Assessment Tool (SWAT). The primary aim of the study was to explore the potential improvements in forecast accuracy through the application of NMME models, both individually and in combination, to hydrological forecasting. To achieve this, we employed two statistical approaches (MLR and KNN), for spatial and temporal downscaling of the NMME models, respectively. The results revealed that the combination of NMME models outperforms individual models in robustly predicting precipitation and temperature. Specifically, precipitation forecasts showed better accuracy during spring (with correlation coefficients ranging from 0.79 to 0.89) and fall (correlation coefficients ranging from 0.43 to 0.79), while their performance was weaker during summer. Temperature forecasts exhibited high accuracy, particularly in warmer periods (with correlation coefficients ranging from 0.75 to 0.99). Given the importance of accurately predicting precipitation during rainy seasons for runoff predictions and precise temperature forecasts during warm seasons, the NMME system demonstrated satisfactory performance and proved to be a valuable input for hydrological models. Furthermore, we used SWAT to predict river discharge with lead times of 1 to 3 months. Notably, the runoff forecast with a 1-month lead time showed the highest performance, as indicated by a correlation coefficient of 0.61.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132846"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386665","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":"Spatiotemporal variability and dominant driving factors of satellite observed global soil moisture from 2001 to 2020","authors":"Yu-Xuan Li ,&nbsp;Pei Leng ,&nbsp;Abba Aliyu Kasim ,&nbsp;Zhao-Liang Li","doi":"10.1016/j.jhydrol.2025.132848","DOIUrl":"10.1016/j.jhydrol.2025.132848","url":null,"abstract":"<div><div>Soil moisture is a critical component of the global land-surface hydrological cycle, significantly impacting fields such as meteorology, agriculture, and water resource management. Understanding the spatiotemporal variability of global soil moisture and its dominant driving factors is essential for addressing global climate change and mitigating extreme climate events. This study investigates the spatiotemporal variability of the latest version of the satellite-based global soil moisture (ESA CCI v09.1) and its dominant driving factors across different temporal scales from 2001 to 2020. The results reveal that short-term scales (8-day and monthly) show higher variability, reflecting rapid climate events and soil responses, while long-term scale (annual) demonstrates more stable patterns. On an annual scale, over 5% of the global land area experienced significant drying, while another 5% showed increased wetness. Significant spatial differences in soil moisture were observed across various climate zones and latitudes. Using the Generalized Additive Model, the dominant factors influencing soil moisture trends were identified for each grid. On an 8-day scale, vapor pressure deficit is the primary driver factor in most regions, while evapotranspiration plays a key role in tropical areas. At the monthly scale, vapor pressure deficit influences high latitude regions, whereas precipitation is the main factor at low latitudes. The combined effect of dominant factors on soil moisture is stronger in low latitudes and weaker in high latitudes. These findings improve our understanding of soil moisture dynamics and offer valuable insights for managing water resources and mitigating the impacts of extreme climate events.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132848"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379207","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":"Quantifying the impacts of ENSO on Australian summer rainfall extremes during 1960–2020","authors":"Jinping He ,&nbsp;Shuangshuang Li ,&nbsp;Bin Wang ,&nbsp;Liwei Zhang ,&nbsp;Keqin Duan","doi":"10.1016/j.jhydrol.2025.132834","DOIUrl":"10.1016/j.jhydrol.2025.132834","url":null,"abstract":"<div><div>Global climate change has significantly altered extreme rainfall regimes in Australia. However, the spatiotemporal distribution of extreme dry and wet conditions, and their relationship with the El Niño–Southern Oscillation (ENSO), particularly within Australian broadacre zones (high rainfall, wheat-sheep, and pastoral zones), remains poorly understood. Hence, we analyzed the spatiotemporal variability of extreme dry and wet events with Standardized Precipitation Index (SPI) and quantified ENSO impacts on rainfall extremes over Australian broadacre zones. The results showed that high rainfall zone and wheat-sheep zone of eastern Australia became drier, while Western Australia (pastoral zone) became wetter from 1960 to 2020. In the past decade, the hotspot areas to extreme or severe dry and wet events constituted 6.5 % and 7.8 % of stations in Australia, demonstrating the widespread concurrence of extreme wet and dry conditions in the high rainfall and wheat-sheep zones. The hotspot areas of dry events shifted from the southeastern into central-eastern Australia, as well as dry conditions weakened in southwestern Australia and eastern Tasmania. In contrast, hotspot areas of wet events occurred more frequently in the southwest and east of continental Australia. The relationship between SPI and ENSO indexes identified that Niño 3.4 sea surface temperature anomaly (SSTA) Index, Niño 4 SSTA Index, cold-tongue ENSO Index and Southern Oscillation Index (SOI) in the preceding winter were robust precursors to summer extreme rainfall events over Australia. Spatially, the ENSO-rainfall relationship showed the eastern-western asymmetric pattern and eastern Australia was a key area affected by above four ENSO indexes. We further confirmed the northeast Australian rainfall was significantly affected by ENSO, but this robust relationship does not extend to the south of Great Dividing Range. Meanwhile, most of Great Artesian Basin and Murray-Darling Basin were significantly affected by 4 ∼ 6 ENSO indexes, which was effective in predicting summer rainfall extremes based on pre-occurred ENSO signals. Our findings provide insights for drought early warning, which are crucial for enhancing water usage and shaping the agricultural system to better adapt to climate extremes in Australia.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132834"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396238","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":"The hysteretic and gatekeeping depressions model − A new model for variable connected fractions of prairie basins","authors":"Kevin R. Shook,&nbsp;John W. Pomeroy","doi":"10.1016/j.jhydrol.2025.132821","DOIUrl":"10.1016/j.jhydrol.2025.132821","url":null,"abstract":"<div><div>The Prairie Pothole Region of western North America has unusual hydrology and hydrography. Its level, post-glacial topography means that many drainage basins are dominated by internally drained depressions, rather than having conventional dendritic drainage networks of stream channels. Modelling the hydrology of these regions is difficult because the relationship between depressional storage and the connected fraction of a basin is hysteretic. Existing models are either computationally intensive and require high-resolution Digital Elevation Model (DEM) data which may not exist or require calibration and cannot reproduce the hysteresis between the basin connected fraction and depressional storage. The Hysteretic and Gatekeeping Depressions Model (HGDM) has been developed to simplify modelling of prairie basins with variable connected/contributing fractions. The model uses “meta” depressions to model the hysteretic responses of small depressions and a discrete model of large depressions, which cause “gatekeeping”, meaning that they prevent upstream flows from reaching the outlet until the depressions are filled. The HGDM was added to the Cold Regions Hydrological Modelling (CRHM) platform which is one of the few models that has successfully simulated land surface hydrology in the Canadian Prairies. CRHM + HGDM is tested by modelling streamflows at Smith Creek, a basin in southeastern Saskatchewan, Canada. It is demonstrated that CRHM + HGDM can reproduce the relationship between the connected/contributing fractions of sub-basins and their depressional storage at least as well as existing models. Importantly, it appears that HGDM can be used with coarse-resolution DEMs, which may permit its use in the many locations where higher-resolution data is unavailable. The simplicity and limited parameterization needs of HGDM may allow for broader representation of depressions and variable contributing area in prairie hydrology.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132821"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395818","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":"A closed municipal landfill as a source of emerging contaminants in adjacent groundwater: pharmaceuticals and personal care products occurrence and environmental risk assessment","authors":"Kinga Ślósarczyk,&nbsp;Dominika Dąbrowska","doi":"10.1016/j.jhydrol.2025.132829","DOIUrl":"10.1016/j.jhydrol.2025.132829","url":null,"abstract":"<div><div>The aim of this study was to determine the occurrence and perform the environmental risk assessment (ERA) for emerging contaminants, primarily pharmaceuticals and personal care products (PPCPs), in the groundwater near a closed municipal landfill, on the example of a site in Tychy (southern Poland). Groundwater from a shallow aquifer was sampled in two seasons from eight piezometers located upstream, downstream, and on top of the landfill. The analysis covered 128 PPCPs. Additionally, surfactants, phenols, field parameters, and basic groundwater chemical composition were determined. ERA was performed using indices like the horizontal ratio (HR), risk quotient (RQ), frequency of a predicted no-effect concentration (PNEC) exceedance (F), prioritisation index (PI), and persistence-bioaccumulation-toxicity ranking (PBTr). The number of detected PPCPs in the groundwater reached up to 54, with total PPCP concentrations ranging from 492 to 3,230,036 ng/L. The study also revealed the presence of phenols (up to 62 mg/L) and surface active agents, particularly anionic surfactants (up to 77.7 mg/L). The highest concentrations of analysed compounds were observed in groundwater from a piezometer screened directly below the landfill bottom. The lowest values were recorded for the observation well located upstream of the landfill, confirming its negative impact and the release of PPCPs into the aquifer. The influence of the landfill was also reflected by low HR values (below 1) and high values of the site-specific risk quotient (above 1). Based on PI results, ibuprofen, bisphenol A, propyphenazone, and sulfamerazine were considered the compounds of highest risk. The same substances were among compounds with the highest PBTr values. The results showed that closed, unlined municipal landfills are a threat to groundwater in terms of organic micropollutants due to conditions that favour their persistence in the aquifer, and that concentrations of some contaminants still pose an environmental risk.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132829"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143395825","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}