Journal of Hydrology最新文献

{"title":"Coexisting plants restored in karst desertification areas cope with drought by changing water uptake patterns and improving water use efficiency","authors":"Lulu Cai,&nbsp;Kangning Xiong,&nbsp;Yuan Li,&nbsp;Ziqi Liu,&nbsp;Dayun Zhu,&nbsp;Hong Liang,&nbsp;Yating Mu,&nbsp;Yi Chen","doi":"10.1016/j.jhydrol.2025.132813","DOIUrl":"10.1016/j.jhydrol.2025.132813","url":null,"abstract":"<div><div>As a result of global climate change, the frequency and intensity of droughts are increasing, severely impacting the functioning of forest ecosystems and even leading to tree mortality. However, the effects of natural droughts on the water use strategies of plants at seasonal scales remain unclear, limiting our understanding of how vegetation adapts to drought stress. In this study, we employed stable isotopes (δ²H, δ¹⁸O, and δ¹³C) to investigate the differences in the water use characteristics of the plants used in the restoration of subtropical karst areas during normal and drought years. The results indicated that the average water uptake proportions of the plants were similar throughout the study period, with water from shallow fissures soil being the predominant water source for all species (42.18 %−49.35 %). The proportional similarity (PS) was lowest among all the species (0.37–0.60) in July of the drought years, and water competition among the species was mitigated through water allocation. To improve adaptability to drought, shrubs increased the proportion of use of topsoil water (2.76 %−6.43 %) while decreasing the proportion of use of other deeper water sources (0.40 %−5.59 %), whereas trees decreased the proportion of use of topsoil water (4.76 %−9.59 %) but increased the proportion of use of deeper water sources (0.66 %−6.79 %). All the species presented an increase (3.05 %−57.81 %) in intrinsic water use efficiency (WUEi) during the drought year, with <em>Cipadessa baccifera</em>, <em>Vitex negundo</em>, and <em>Koelreuteria bipinnata</em> showing significantly (<em>p</em> &lt; 0.05) greater mean WUEi values in the drought year than in the normal year. These results emphasize the importance of changing water uptake patterns and increasing WUEi to improve drought adaptation in plants used for the restoration of karst desertification areas. This study provides new insights into the water utilization characteristics of natural restoration plants in response to extreme natural drought.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132813"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143396237","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":"How efficient are bioretention cells in controlling phosphorus and nitrogen enrichment of urban stormwater? Insights from the International stormwater best management practice database","authors":"Bowen Zhou ,&nbsp;Chris Parsons ,&nbsp;Mahyar Shafii ,&nbsp;Fereidoun Rezanezhad ,&nbsp;Elodie Passeport ,&nbsp;Philippe Van Cappellen","doi":"10.1016/j.jhydrol.2025.132805","DOIUrl":"10.1016/j.jhydrol.2025.132805","url":null,"abstract":"<div><div>Bioretention cells (BRCs) are a common technology to reduce stormwater runoff volumes and peak flows. BRCs have also been proposed as a best management practice (BMP) to control the export of contaminants from urban landscapes, including the macronutrients phosphorus (P) and nitrogen (N). To determine whether bioretention systems are effective in mitigating P and N enrichment of urban stormwater runoff, we extracted hydrologic and nutrient concentration data for over 400 precipitation events across more than 30 BRCs from the International Stormwater BMP Database. The concentration data included total P (TP), soluble reactive P (SRP), total N (TN), and dissolved inorganic N (DIN). Among the BRCs included in our analysis, 74 and 89 % exhibited average concentrations of TP and SRP that were higher in the surface outflow than in the inflow, respectively. However, the corresponding outflow loads of TP and SRP were generally lower, mainly because of reductions in surface runoff volumes. By contrast, BRCs exhibited on average lower outflow TN concentrations (median reduction of 21 %) while DIN concentrations were similar between outflow and inflow. Hence, because they are generally more efficient in reducing N than P loads, BRCs tended to decrease the TN:TP and DIN:SRP ratios of stormwater runoff, potentially altering nutrient limitation patterns in receiving aquatic ecosystems. Changes to P and N speciation were also prevalent, with BRCs typically increasing the SRP:TP and (NO₃^–+NO₂^–):NH₄⁺ ratios. Random forest modeling identified inflow concentrations and BRC age as key variables modulating the changes in TP, SRP, and TN concentrations between inflow and outflow. For DIN, the BRC’s storage volume and drainage area also emerged as an important explanatory variable. Overall, our findings imply that the impacts of BRCs on the P and N concentrations, speciation, and loads of urban runoff are highly variable. Although the P and N loads in surface runoff are usually reduced by BRCs, the implications for downstream nutrient limitation and potential groundwater quality deterioration deserve further attention.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132805"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379209","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":"Quantile regression reveals phosphorous overwhelms nitrogen in controlling high chlorophyll-a concentration in freshwater lakes","authors":"Haojie Han ,&nbsp;Xing Yan ,&nbsp;Xiaohan Li ,&nbsp;Xuemei Zhao ,&nbsp;Jie Qiu ,&nbsp;Zelin Huang ,&nbsp;Xiaoyuan Yan ,&nbsp;Yongqiu Xia","doi":"10.1016/j.jhydrol.2025.132845","DOIUrl":"10.1016/j.jhydrol.2025.132845","url":null,"abstract":"<div><div>High chlorophyll-a (Chl-a) concentration, driven by nitrogen (N) and phosphorus (P), is a growing global concern that has more severe and far-reaching effects on freshwater lakes compared to general Chl-a concentration. Understanding the pivotal roles of N and P in regulating high Chl-a levels is imperative. Although the traditional approach relied on the total nitrogen (TN): total phosphorus (TP) ratio offers a brief framework for assessing the importance of N and P in controlling Chl-a, the efficiency of this method is increasingly being questioned in high Chl-a freshwater lakes where nutrient limitation may differ from less impacted systems. This study aims to address this knowledge gap by examining the relative contributions of TN and TP to Chl-a concentrations across a wide range of Chl-a levels. Utilizing a global dataset of 30,844 data points from 2542 freshwater lakes, we employed both ordinary least squares regression (OLSR) and Quantile Regression (QR) methods to elucidate the impacts of TN and TP on Chl-a. Our findings revealed that the TN: TP ratio may not always be a reliable indicator of nutrient limitation, especially in high Chl-a conditions where TP often exerts a more significant influence on Chl-a levels. This insight suggests that current management strategies, which heavily rely on the TN: TP ratio, may not be as effective as required in high Chl-a concentration. The study underscores the need for a reassessment of nutrient management practices, advocating for a more nuanced approach that considers the specific Chl-a concentrations and nutrient dynamics of individual freshwater lake systems. The implications of this research are crucial for developing more targeted and effective strategies to mitigate Chl-a and safeguard freshwater resources.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132845"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379128","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 influence of weir structures on hyporheic exchange in a riverbed under seasonal variation: Field experiments and numerical modeling","authors":"Song Xu ,&nbsp;Jie Ren ,&nbsp;Tiegang Zheng ,&nbsp;Shenghao Nan ,&nbsp;Ting Zhuang ,&nbsp;Hengle Guo","doi":"10.1016/j.jhydrol.2025.132819","DOIUrl":"10.1016/j.jhydrol.2025.132819","url":null,"abstract":"<div><div>Weir structures, as a common river restoration structure, drive the mutual exchange between surface water and groundwater and, to a certain extent, regulate biochemical reactions within the hyporheic zone, playing a crucial role in the ecological community and distribution of the hyporheic zone. This article analyzes the influence of weir structures on the temperature field of the riverbed hyporheic zone in different seasons through field experiments and constructs a surface water–groundwater coupled model under the action of weir structures through field measurement data. The model is validated using measured experimental data, and the influence of various weir structural factors on the water and heat transport processes of the riverbed hyporheic zone is explored. The shallow high-temperature area upstream of the riverbed hyporheic zone temperature field under the weir structure shows a downward expansion trend, with a more obvious diffusion trend in spring and autumn and a relatively small diffusion range in summer and winter. The variation trend of hyporheic flux in different monitoring wells at the same depth is generally the same throughout the monitoring period, while there is a significant difference in hyporheic exchange flux in deep areas compared to shallow areas. The pressure distribution pattern of the riverbed hyporheic zone under the weir structure shows an overall trend of first increasing, then decreasing, and then increasing in the horizontal direction. The height <em>h</em> of the weir structure is positively correlated with the intensity of riverbed hyporheic exchange, while the width <em>d</em> and burial depth <em>z</em> of the weir structure are negatively correlated with the intensity of riverbed hyporheic exchange.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132819"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379206","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":"Optimal allocation of water and land resources considering crop water demand process from the perspective of water-carbon-economy nexus","authors":"Peng Qi,&nbsp;Jiaxin Sun,&nbsp;Guangxin Zhang","doi":"10.1016/j.jhydrol.2025.132831","DOIUrl":"10.1016/j.jhydrol.2025.132831","url":null,"abstract":"<div><div>The sustainability of agricultural water resources during different crop growth stages is an urgent international scientific frontier issue that needs to be addressed.Meanwhile, Agriculture is an important carbon cycle ecosystem, and the water-carbon-food coupling mechanism in irrigation agriculture is a complex scientific issue. Therefore, this study has improved the water-carbon-economy coupling model (IWCECM) we previously developed by refining water use during different crop growth stages. The refined model is implemented at Youyi Farm, a representative agricultural production area in China. The application process considers four scenarios: a conventional irrigation mode (S1) and a water-saving irrigation mode (S2) during a normal year, as well as a conventional irrigation mode (S3) and a water-saving irrigation mode (S4) during a drought year. The Non-dominated Sorting Genetic Algorithm III (NSGA-III) is employed to solve the model. These results showed that the improved model achieves optimal allocation of water and land resources, making it more suitable for various scenario conditions. Implementing water-saving irrigation measures enable available water resources to support the current cropping structure. Without water-saving irrigation and external water transfer measures, adjustments to the current planting structure will be necessary. Before optimization, the ratio of planted area for Rice, Maize, and Soybean was 5:4:1. After optimization, the ratios of planted area for the four scenarios were 4:5:1, 5:4:1, 2:7:1, and 3:6:1, respectively. Compared to pre-optimization, the total carbon sequestration increased by 4.95 × 10⁸ kg, 4.56 × 10⁸ kg, 4.04 × 10⁸ kg, and 6.84 × 10⁸ kg and the total grain yield increased by 1.72 × 10⁸ kg, 1.43 × 10⁸ kg, 0.69 × 10⁸ kg and 1.45 × 10⁸ kg under the four scenarios, respectively. Except for the drought years, the economic benefits under the other scenarios are not significantly different from those before optimization. The total water consumption was highest during the initial growth period in normal years and during the middle growth period in drought years. In summary, the enhanced water-carbon-economy coupling model enables precise adjustment of crop structures to various scenarios, managing irrigation water requirements for each crop at different growth stages. Additionally, it enhances carbon sequestration, economic incomes, and food production.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132831"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386721","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":"Unfolding extreme rainfall events characteristics over the North-West Himalayan region based on recent GPM-IMERGV7 remotely sensed observations","authors":"Sreyasi Biswas ,&nbsp;Charu Singh ,&nbsp;Vidhi Bharti ,&nbsp;Soumyadeep Roy ,&nbsp;Randhir Singh","doi":"10.1016/j.jhydrol.2025.132823","DOIUrl":"10.1016/j.jhydrol.2025.132823","url":null,"abstract":"<div><div>Extreme Rainfall Events (EREs) over the North West Himalayan (NWH) region of India have been examined for the monsoon season using the latest IMERG V07B rainfall data of 0.1°x0.1° resolution for recent two decades (2000–2022). A strong correlation of 0.95 was noted between IMERG and ground-based IMD data. Intensity corresponding to the EREs for the 95th, 98th, 99th, 99.5th, and 99.99th percentile is found to be 17.43 mm day⁻¹, 34.47 mm day⁻¹, 50.52 mm day⁻¹, 68.66 mm day⁻¹, and 197.75 mm day⁻¹ respectively. In all the classes of intensity, the magnitude is highest along the southwest foothills (1000 m – 3000 m) of NWH with the highest intensity over Dharamshala and Mandi regions (HP) along with southeast region of UK. Statistically robust Mann-Kendall (MK) test revealed a significant decreasing trend (95 % confidence level) in rainfall intensity corresponding to the 99th percentile and above over Dharamshala and Mandi. A late arrival of the 1-day maxima rainfall is observed in Dehradun, Mandi, and Leh regions whereas a contrasting behaviour is unveiled over Pithoragarh, Munsiyari, and Chamoli regions. For the NWH region as a whole, both frequency and intensity are significantly decreasing for the 99.99th percentile, though Ladakh region witnesses a significant increasing trend in frequency and intensity for all the categories barring the 95th percentile. An elevation-wise study of the distribution of frequency and intensity of EREs highlights two major breakpoints (∼ 850–1000 m and ∼ 3500–4000 m). The highest percentage of EREs (except 99.99th percentile) are concentrated within 1000 m – 2000 m (&lt; 1000 m). The study revealed that intense EREs of magnitude 300 mm day⁻¹ have the shortest revisit period of 30–45 years in Dharamshala and Mandi. The present study would prove to be useful for policymakers for mitigation strategy and infrastructure development planning in mountainous regions of India and provide a framework for analyzing EREs across the global mountain regions.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132823"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419567","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":"Using deep learning to understand flood variability across the last millennium from GCM atmospheric variables in two contrasting catchments","authors":"Ran Huo ,&nbsp;Lu Li ,&nbsp;Kailin Huang ,&nbsp;Hua Chen ,&nbsp;Chuncheng Guo ,&nbsp;Øyvind Paasche ,&nbsp;Chong-Yu Xu","doi":"10.1016/j.jhydrol.2025.132851","DOIUrl":"10.1016/j.jhydrol.2025.132851","url":null,"abstract":"<div><div>Understanding of historical flooding characteristics is conducive for predicting future floods and their characteristics. This study applies deep learning techniques to explore nonlinear long-term relationships between atmospheric variables simulated by the NorESM1-F model and river flow within two selected catchments, the Wujiang basin in Southern China and the Bulken basin in Western Norway. We investigate the feasibility of using atmospheric variables for long-term daily discharge simulations, especially in the context of cold-warm and dry-wet fluctuations over the past 1000 years. Our analysis delves into the changing patterns of atmospheric variables and their impact on discharge and flood patterns. The results indicate that (1) The deep state-space model could effectively simulate daily discharge at the catchment scale by incorporating relevant atmospheric variables of reanalysis data; (2) In our paleoclimate simulations, there is a noteworthy correlation between temperature and precipitation data from the NorESM1-F model over the past millennium with the reconstructed temperature and a proxy indicator for dry-wet conditions in the study basins; (3) Our investigation highlights differences in the simulation of solar1 and solar2, particularly in relation to climate variability associated with the Medieval Warm Period (MWP) and the Little Ice Age (LIA). We observe that, during the periods characterized by larger oscillations in precipitation and temperature, the frequency of floods tends to increase.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132851"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379125","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":"Integrating machine learning with the Minimum Cumulative Resistance Model to assess the impact of urban land use on road waterlogging risk","authors":"Xiaotian Qi ,&nbsp;Soon-Thiam Khu ,&nbsp;Pei Yu ,&nbsp;Yang Liu ,&nbsp;Mingna Wang","doi":"10.1016/j.jhydrol.2025.132842","DOIUrl":"10.1016/j.jhydrol.2025.132842","url":null,"abstract":"<div><div>Urban waterlogging risk frequently manifests primarily on roadways, owing to their low topographical elevation and high impermeability. Accurately assessing the influence of surrounding land use on this risk is crucial for developing effective strategies. This study integrates machine learning models with the Minimum Cumulative Resistance Model to assess the impact of urban land use on road waterlogging risk, quantifying the interactions and diffusion patterns among various land units. The results indicate that: 1) The random forest classifier effectively identified 97 % of the test waterlogging points as low-resistance-cost areas. The primary factors influencing road waterlogging include the distance from the road (0.38), the stormwater drainage capacity (0.16), and vegetation coverage (0.12). 2) The diffusion resistance of waterlogging risk has been categorized into 10 levels. The resistance values for the highest risk level range from −263 to −17, which accounts for approximately 9.6 % of the study area. 3) The regions with high-risk concentration consist of six main sections, with minimum cumulative resistance differences ranging from −263 to 1072. These high-risk areas exhibit a gradual concentration towards the northeast. 4) A total of 456 potential transfer paths characterized by high waterlogging risk were identified, with lengths varying from 6 to 641 m, and their intersections with roads were delineated. The methodologies developed in this study facilitate a more precise evaluation of the effects of urban lands on road waterlogging risk, elucidating the mechanisms of risk propagation and yielding significant insights for the enhancement of management practices and mitigation strategies.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132842"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379218","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":"Optimal locating satellite observation reaches for manning’s equation: From surface water and ocean topography mission river Database","authors":"Qihang Liu ,&nbsp;Yun Chen ,&nbsp;Qianqian Chen ,&nbsp;Duomandi Jiang ,&nbsp;Hongtao Duan ,&nbsp;Shiqiang Zhang ,&nbsp;Ninglian Wang ,&nbsp;Chang Huang","doi":"10.1016/j.jhydrol.2025.132849","DOIUrl":"10.1016/j.jhydrol.2025.132849","url":null,"abstract":"<div><div>Timely accurate measurement of river discharge is critical for water resource management. Construction and operation of a gauging network is expensive and time-consuming. With the advance of earth observation technologies, estimating discharge through remote sensing using Manning’s Equation has become an increasingly popular approach for filling the gaps in gauging observations. However, there is a lack of proper guidance to find a suitable Satellite Observation Reach (SOR) for this purpose. Here, we provide a practical approach, relying solely on various globally available data, for identifying optimal location of SOR for the rivers listed in the global Surface Water and Ocean Topography Mission River Database. A Manning-based Suitability Indicator (MSI) was developed, which integrates three sub-indicators: Fluctuation of Surface Extent, Stability of Channel Terrain, and Uniformity of River Flow. 21 gauges of 15 rivers around the world were selected as the case study sites. The MSI of about 200 candidate reaches were investigated at each site, and SOR was finally located at the reach with the highest MSI. Time-series Manning-based hydraulic variability (M_hv, an indicative discharge) was computed through the remotely sensed imagery at each SOR. The derived M_hv was finally compared with observed river discharge (Q_ob) for method validation. There is substantial concordance between M_hv and Q_ob at the SOR locations with R² of 5 sites above 0.9, 14 sites above 0.8, and 18 sites above 0.7. This indicates the reliability of the proposed approach. Our method may be easily applied to future data from the Surface Water and Ocean Topography (SWOT) mission, through efficiently converting SWOT signals to discharge at SOR locations using Manning’s Equation, and therefore, to initiate successful and effective discharge monitoring regionally and globally.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132849"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143379220","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":"Solving complex flood wave propagation using split Coefficient-based Physical Informed Neural Network","authors":"Changxun Zhan,&nbsp;Ting Zhang,&nbsp;Siqian Zhang,&nbsp;Dingying Yang","doi":"10.1016/j.jhydrol.2025.132835","DOIUrl":"10.1016/j.jhydrol.2025.132835","url":null,"abstract":"<div><div>To address complex flood wave propagation problems characterized by discontinuity and anisotropic superposition, Split Coefficient-based Physical Informed Neural Network (SC-PINN) is proposed. The Split Coefficient (SC) strategy is employed to decompose the spatial features of flood waves along different propagation directions. Spatial derivatives, matching each spatial feature component, are obtained through the Taylor series, ensuring that each component contains only the information of waves propagating in a single positive or negative direction. This approach captures flow characteristics in each direction, thereby reducing the spectral bias encountered by PINN when learning complex flow regimes during flood wave propagation. To verify the effectiveness and accuracy, the proposed SC-PINN is applied to three classical dam-break scenarios. Additionally, an investigation is conducted into why the SC strategy assists PINN in improving the accuracy of flood forecasting. The results indicate that as the changing rate in water depth increases, the flow characteristics of asymmetric propagation and superposition become more pronounced, which leads to PINN failing to capture the complex flow regime effectively. In contrast, the proposed SC-PINN splits the total changing rate in water depth along different propagation directions, enabling the network model to independently learn the changing rate component in water depth in each direction. Consequently, the new method accurately captures not only the strong discontinuity regions in shallow water flow but also the phenomena of double shock system, vortex, and wake formed by the interaction between flood waves and obstacles. Furthermore, the proposed approach successfully describes asymmetric flow around the dam breach and local high-water levels induced by irregular breaches. It provides a potent solution for addressing complex flood wave propagation problems characterized by discontinuity and anisotropic superposition.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"654 ","pages":"Article 132835"},"PeriodicalIF":5.9,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143386723","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}