Journal of Hydrology最新文献

{"title":"A unit series–parallel unsaturated soil electrical conductivity model considering interconnections between pores","authors":"Ganglie Yuan, Ailan Che, Chao Su","doi":"10.1016/j.jhydrol.2024.132456","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132456","url":null,"abstract":"For the potential application of electrical resistivity measurements in hydrogeological investigations, the knowledge of soil electrical conductivity mechanism with moisture content variation is the key issue. The impact of interconnections between pores and weak connection to physical processes were the two limitations for unsaturated soil electrical conductivity research. In this work, we introduced the concept of equivalent conductive pathway to analyze tortuosity. Based on media series–parallel analysis, a unit series–parallel unsaturated soil electrical conductivity model considering interconnections between pores was established, in which parameters with its own physical meaning. To verify the accuracy of the proposed model, soil resistivity test with moisture content variation was conducted. Soil electrical conductivity was predicted, which was compared with results from test and previous models. The results indicate that our model is expected to produce better results than the previous models. Overcoming the limitations of weak connection to physical processes in the empirical model, the error of soil resistivity was significantly reduced when the impact of interconnections between pores was considered. The average error of the proposed model for clay and sand was 30.6% and 17.4%, respectively, compared to 72.6% and 48.2% for the model that ignored the interconnections between pores. The findings of this study could provide a reference for hydrogeological investigations, such as levee leakage detection.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"121 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790119","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":"Assessment of ensemble data assimilation based heat tracer method for estimating surface water-groundwater interaction at seasonal timescale under complex field conditions","authors":"Xuchen Zhai, Kewei Chen, Xiuyu Liang, Guoliang Wang, Xin Zhao, Zhilin Guo, Renjie Zhou, Chen Ding, Cancan Liu, Chunmiao Zheng","doi":"10.1016/j.jhydrol.2024.132469","DOIUrl":"https://doi.org/10.1016/j.jhydrol.2024.132469","url":null,"abstract":"Quantifying fluid fluxes between surface water (SW) and groundwater (GW) is essential for understanding nutrient transport processes across the terrestrial-aquatic interface and river ecosystems. For highly dynamic rivers (e.g., dam-regulated river, tidal river), frequent fluctuations in river stages present challenges in the assessment of SW-GW interactions. To address this challenge, an ensemble smoother-multiple data assimilation (ES-MDA) based heat tracer method was proposed previously, which outperforms analytical heat tracer methods and is able to capture sub-daily fluxes accurately. However, the performance of this method under non-ideal conditions (e.g., unsaturated flow, heterogeneous sediment) has not been thoroughly investigated, especially at the seasonal time scale when the flow patterns vary distinctively. In this study, we examined the influences of seasonal flow patterns, riverbed heterogeneity, and unsaturated flow conditions on the performance of the ES-MDA method for flux estimation. Our findings indicate that the ES-MDA method yields robust results under saturated flow conditions with heterogeneous permeability fields across all seasons. Both long-term low fluxes (e.g., ± 1 m/day) and temporary flux peaks (e.g., 3 m/day) can be accurately captured. Temperature differences between different depths significantly affect the estimation uncertainty, and the co-occurrence of low temperature differences and high heterogeneity may weaken the method’s performance. In variably saturated zones, while the flow direction remains identifiable, the estimated fluxes may be unrealistic. Our work demonstrates that the ES-MDA method has the potential for application under complex field conditions for long-term monitoring of SW-GW interactions.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"1 1","pages":""},"PeriodicalIF":6.4,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142790116","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":"Evaluating SWAT-3PG simulation of hydrologic and water quality processes in a forested watershed: A case study in the St. Croix River Basin","authors":"Ritesh Karki , Junyu Qi , Xuesong Zhang , Puneet Srivastava","doi":"10.1016/j.jhydrol.2024.132393","DOIUrl":"10.1016/j.jhydrol.2024.132393","url":null,"abstract":"","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132393"},"PeriodicalIF":5.9,"publicationDate":"2024-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757305","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":"Insights into the effects of river network topology on sudden pollution risks","authors":"Yue-yang Dong,&nbsp;Zu-lin Hua,&nbsp;Peng Wang,&nbsp;Yi-xin Ma","doi":"10.1016/j.jhydrol.2024.132316","DOIUrl":"10.1016/j.jhydrol.2024.132316","url":null,"abstract":"<div><div>The risk of sudden water pollution is one of the biggest obstacles to ensuring the safety of river basin water environments. While external pressure factors such as illegal discharge have been extensively studied with regard to their impact on the risk of sudden pollution, the influence of the river network topology has received limited attention. To fill this gap, extensive computational experiments were conducted in this study to investigate the effects of river network topology on the potential risk of sudden pollution. Based on the real-world characteristics of dendritic river networks, we used optimal channel networks to generate various river network topologies, represented by seven indicators that encompass morphology, connectivity, and structure. The water quality model simulated the spatial and temporal responses of the samples to a wide range of sudden pollution scenarios, and quantified the associated risk of sudden pollution using three proxy indicators: the maximum standard-exceeding multiple, proportion of standard-exceeding river length, and duration of exceedance. The results showed that among the seven indicators, the average outlet path (<em>Do</em>) and geometric fractal dimension (<em>Dg</em>) had a significant impact on risk. This is because network topology alters hydrological signatures such as discharge, velocity, and travel time. Moreover, multi-group analysis of structural equations revealed that the aspect ratio influences the impact of structural and connectivity indicators on risk by modulating pollution range and concentration. This study revealed the topological factors of the risk of sudden water pollution in dendritic river networks, emphasizing the regulatory role of topology in potential sudden water pollution risk and providing valuable insights for river management and planning.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132316"},"PeriodicalIF":5.9,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757309","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":"Identifying TSM dynamics in arid inland lakes combining satellite imagery and wind speed","authors":"Ashkan Noori ,&nbsp;Yusef Kheyruri ,&nbsp;Ahmad Sharafati ,&nbsp;Seyed Hossein Mohajeri ,&nbsp;Mojtaba Mehraein ,&nbsp;Amir Samadi","doi":"10.1016/j.jhydrol.2024.132423","DOIUrl":"10.1016/j.jhydrol.2024.132423","url":null,"abstract":"<div><div>The Chah Nimeh Reservoirs (CNRs), located in Iran’s Sistan region, are critical arid inland lakes that support agriculture and supply drinking water to the region. A major concern regarding water quality in these reservoirs is the concentration of Total Suspended Matter (TSM), which has significant implications for both the local communities and the aquatic ecosystem. This study demonstrates the complicated connection between wind speed and TSM values, indicating that wind speed is an essential variable influencing TSM concentrations. By combining in-situ wind measurements with satellite imagery, we mapped TSM distributions using empirically derived models. Our investigation identified the Long Short-Term Memory (LSTM) and Attention-Mechanism-Based Dynamic Inner Partial Least Squares Long Short-Term Memory (ADiPLS-LSTM) models as effective predictors of TSM levels. Specifically, two distinct machine learning models were utilized: R_rs2TSM, which relies solely on Remote Sensing Reflectance (R_rs(λ)), and the more advanced R_rs&amp;Wind2TSM, which incorporates both R_rs(λ) and wind data. The ADiPLS-LSTM model generated results with minimal variance, showing exceptional consistency. The Root Mean Square Error (RMSE) remains low at 0.617, while the R² value maintained continually elevated at 0.997. It’s interesting to note that modest variations in TSM concentrations occurred when wind speed data was incorporated into the algorithm, especially during times of greater wind speeds. This study emphasizes the significant impact of wind speed on TSM dynamics in arid inland lakes, showcasing the value of satellite imagery in conducting such analyses. The findings provide essential insights for developing strategies that promote sustainable water resource management.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132423"},"PeriodicalIF":5.9,"publicationDate":"2024-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748657","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":"Designing climate-resilient sustainable drainage system (SuDS) for mass rapid transit (MRT) development: A hydrodynamic modelling approach","authors":"Rosidha Febriana ,&nbsp;Low Jiun Hor ,&nbsp;Izni Zahidi ,&nbsp;Oh Kai Siang","doi":"10.1016/j.jhydrol.2024.132366","DOIUrl":"10.1016/j.jhydrol.2024.132366","url":null,"abstract":"<div><div>The progressive industrialisation and urbanisation of urban areas have significantly altered hydrological factors such as terrain, imperviousness, and surface flow. These developments, accompanied by increased traffic congestion and carbon emissions, contribute to climate change. Consequently, implementing Mass Rapid Transit (MRT) systems is crucial for alleviating traffic congestion and reducing carbon emissions globally. However, the changes in urban hydrology following development, combined with increased rainfall due to climate change, exacerbate risks of flooding, erosion, and sedimentation for the MRT development and surrounding low-lying areas. Therefore, researching urban drainage systems under climate change conditions for MRT development is essential. This study utilised 1D/2D hydrodynamic modelling and simulation to investigate the performance of an existing MRT drainage system designed with a control-at-source concept and a new sustainable drainage system incorporating infiltration engineering and flow-retarding techniques, including porous layers and a bioecological system to mitigate urban flooding erosion and sedimentation. The results show that the new sustainable drainage system, featuring permeable pavements and bioretention facilities, effectively integrates 30% of the MRT-developed land typology without requiring additional land acquisition, which is cost-effective and practical for mitigating major flooding and reducing total suspended solids, thereby controlling erosion and sedimentation.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132366"},"PeriodicalIF":5.9,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142757306","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 novel conditional generative model for efficient ensemble forecasts of state variables in large-scale geological carbon storage","authors":"Ming Fan ,&nbsp;Yanfang Liu ,&nbsp;Dan Lu ,&nbsp;Hongsheng Wang ,&nbsp;Guannan Zhang","doi":"10.1016/j.jhydrol.2024.132323","DOIUrl":"10.1016/j.jhydrol.2024.132323","url":null,"abstract":"<div><div>Integrating monitoring data to efficiently update reservoir pressure and CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> plume distribution forecasts presents a significant challenge in geological carbon storage (GCS) applications. Inverse modeling techniques are commonly used to fuse observational data and refine reservoir model parameters, thereby improving state variable forecasts. However, these techniques often rely on linear or Gaussian assumptions, which can limit their effectiveness in accurately predicting state variables. Moreover, simulating large-scale three-dimensional (3D) GCS problems is computationally expensive, making iterative runs in inverse problems prohibitive. To address these challenges, we propose a conditional generative model utilizing the score-based diffusion method for real-time 3D pressure and saturation field distribution predictions. Our approach involves solving the score function with a mini-batch-based Monte Carlo estimator to generate labeled data. This data is subsequently employed to train a fully connected neural network, enabling it to learn the conditional sample generator within a supervised learning framework. This method enables the rapid generation of a large ensemble of predictions, facilitating comprehensive uncertainty quantification of state variables. We applied our method to forecast the dynamic 3D distributions of pressure and saturation fields over a 30-year injection period. The statistical assessment with low root mean square error (RMSE) values demonstrates that our method can accurately predict the spatiotemporal distributions of both pressure and saturation fields. Moreover, the developed conditional generative model shows high computational efficiency by generating 100 ensemble forecasts of 3D state variables in less than 10 min. The consistency between ensemble averages and ground truth values further illustrates the model’s capability to capture state variable dynamics during the CO<span><math><msub><mrow></mrow><mrow><mn>2</mn></mrow></msub></math></span> plume injection process. Notably, the ground truth values fall within the ensemble forecasts, indicating that our uncertainty quantification effectively captures variability and potential noise in the observations. Thus, the developed conditional generative model proves to be a more efficient, accurate, and practical tool for GCS applications, facilitating timely risk analysis and informed decision-making.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132323"},"PeriodicalIF":5.9,"publicationDate":"2024-11-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748732","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":"Hydrological connectivity drives intra- and inter-annual variation in water quality in an intermittent stream network in a mixed land use catchment under drought","authors":"Famin Wang ,&nbsp;Doerthe Tetzlaff ,&nbsp;Tobias Goldhammer ,&nbsp;Jonas Freymueller ,&nbsp;Chris Soulsby","doi":"10.1016/j.jhydrol.2024.132420","DOIUrl":"10.1016/j.jhydrol.2024.132420","url":null,"abstract":"<div><div>We monitored the spatio-temporal variation of connectivity and linked water quality (WQ) in an intermittent stream network draining a mixed land use, lowland catchment in NE Germany. The monitoring period (2018–2022) coincided with four years of variable hydroclimate, though all years had negative rainfall anomalies compared to the long-term average. Correspondingly, streamflow became more intermittent (in terms of both the longevity and frequency of no-flows), with prolonged periods of no surface water flow in the summer and autumn. Despite inter-annual variation in hydroclimate and length of no-flow periods, in each of the four years the catchment showed three distinct seasonal phases of hydrological connection and disconnection in the channel network which has important implications for WQ. Autumn and early winter were characterised by a <em>connecting phase</em> as spatially variable streamflows were initialized in response to rising water tables following increased rainfall and reduced evapotranspiration as temperatures declined. The winter and early spring were charactered by a <em>fully connected phase</em> of the channel network where streamflows increased at the time of lowest temperatures. The late spring and early summer were characterized by a <em>disconnecting phase</em> as flow gradually ceased and the channel network began to fragment. A wetland in the centre of the catchment saw both the earliest and latest expression of streamflow, with the lower catchment downstream of this taking the longest to connect. The WQ is typical for a eutrophic lowland catchment and spatial variation is primarily related to soils and land use. During the <em>connecting phase,</em> stream WQ reflected that of groundwater though mobilization of solutes from the rewetting riparian area and channel bed also occurred. During the <em>fully connected phase</em>, streamwater was enriched by NO₃ from soilwater and agricultural drainage. During the <em>disconnecting phase</em>, lower flows and higher temperatures increased the intensity of in-stream biogeochemical interactions with mobilization of P, Fe and Mn associated with declining oxygen levels and release of dissolved organic carbon (DOC) concentrations. Inter-annual variations in WQ related to how hydroclimate and antecedent catchment wetness regulated the initiation, longevity and cessation of connection each winter. Future climate change is likely to drive increasing intermittency in streamflow in many lowland regions with implications for local and downstream ecosystem services.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132420"},"PeriodicalIF":5.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142720812","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":"Evaluation of the performance and complexity of water quality models for peatlands","authors":"Emmanuel Opoku-Agyemang ,&nbsp;Mark G. Healy ,&nbsp;Mingming Tong","doi":"10.1016/j.jhydrol.2024.132421","DOIUrl":"10.1016/j.jhydrol.2024.132421","url":null,"abstract":"<div><div>Rewetting is accepted as an effective technique in restoring degraded peatlands. However, it may adversely impact water quality, particularly in nutrient-rich peatlands. The aim of this study was to review water quality models applied to peatlands, with a focus on evaluating the performance (such as stability and accuracy) and complexity of the models. In a systematic review of published studies from 01/01/2003 to 10/12/2023, out of 3618 published studies on peatlands and nutrient modelling, only 23 studies applied water quality models to predict the evolution and distribution of nutrients of peatlands by using 16 different water quality models. Out of the 23 studies, only 1 predicted the nutrient concentration and transport of a rewetted peatland. Among the 16 models evaluated, only the mixed mire water and heat (MMHW) model was capable of considering the inherent heterogeneity in peatland characteristics. The HYDRUS 1D/2D model is effective at predicting nitrogen species, despite encountering challenges in some studies due to the complex nature of the peat environment. To enhance the predictive power of water quality models, it is important to consider all the processes that can affect the concentration of nutrients in peatlands such as oxidation of carbon, the nitrogen cycle, decay/production rate for nutrients, adsorption/desorption of nutrients in the soil, and the advection of nutrients due to the influence of ground water and surface water. To date, no peatland-specific water quality model has been developed to simultaneously predict DOC, nitrogen and phosphorus in peatland ecosystems.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132421"},"PeriodicalIF":5.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748731","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":"Unwrapping the triptych of climatic, social and energy-market uncertainties in the operation of multipurpose hydropower reservoirs","authors":"G.K. Sakki ,&nbsp;A. Castelletti ,&nbsp;C. Makropoulos ,&nbsp;A. Efstratiadis","doi":"10.1016/j.jhydrol.2024.132416","DOIUrl":"10.1016/j.jhydrol.2024.132416","url":null,"abstract":"<div><div>The ongoing debate about hydropower and its role in the transition towards renewable energy development is strongly associated with its sustainable character, social and environmental footprint, and potential benefits. Multipurpose hydropower reservoirs play a significant dual role as they serve both water and energy uses. However, their operation and management are subject to inherently uncertain processes, future challenges, and externalities originating from climate, society and the energy market. In this context, we contribute an uncertainty-aware optimization methodology that supports operators in accounting for the cascade effects of three main uncertain drivers, i.e., rainfall, water demands, and energy scheduling. To describe climatic and energy-market uncertainties, stochastic approaches are followed to generate 2000 years of daily synthetic rainfall and electricity price data, respectively. To account for human-oriented procedures, i.e., water and energy targets, statistical analyses of historical abstractions are employed to fit copula-based relationships, in which the desirable releases for energy production depend on day-ahead electricity prices. Finally, a toolbox is established, offering insights for decision-making regarding the estimated profits, their expected changes, and the associated risk due to climate or market-oriented shifts. Our approach is demonstrated in a multipurpose reservoir in Greece, Plastiras, which is affected by rapidly increasing socioeconomic conflicts. Our findings indicate that an improved understanding of uncertainty can lead to more efficient operation policies and shield operator from misleading perceptions and their often-detrimental effects. Specifically, in the high electricity price era the expected profits are substantially unstable, since a suboptimal trade-off between irrigation and energy production may be risky and costly.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"648 ","pages":"Article 132416"},"PeriodicalIF":5.9,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748728","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}