Journal of Hydrology最新文献

{"title":"Ensemble learning of catchment-wise optimized LSTMs enhances regional rainfall-runoff modelling − case Study: Basque Country, Spain","authors":"F. Hosseini,&nbsp;C. Prieto,&nbsp;C. Álvarez","doi":"10.1016/j.jhydrol.2024.132269","DOIUrl":"10.1016/j.jhydrol.2024.132269","url":null,"abstract":"<div><div>Accurate rainfall-runoff modeling is crucial for effective water resources management and planning, especially in flash catchments prone to rapid floods. This study investigates the performance of ensemble learning methods applied to regionally optimized deep learning models, specifically long short-term memory (LSTM) networks, for enhanced hydrological prediction. Three ensemble approaches were developed based on optimized regional hyperparameter settings: catchment-wise, top-10 regional, and K-means clustering selected configurations. These networks were trained, and the median of their simulations on the test set was considered the final prediction for each ensemble. The final predictions were then evaluated against observed data. Our findings show that ensemble learning methods consistently outperform conventional single-configuration approach of selecting the best regional setting in all locations, especially in catchments with prediction complexity or anthropogenic footprints. The catchment-wise ensemble demonstrated the highest prediction accuracy and robustness, highlighting the importance of tailoring network configurations to the unique characteristics of individual catchments. The findings highlight the potential of ensemble learning to significantly improve hydrological forecasts and inform better decision-making in water resources management. Specifically, this research demonstrates how ensemble learning of catchment-wise configurations can overcome limitations in regional hydrological predictions by deep learning models, addressing the “uniqueness of the place” paradigm.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"646 ","pages":"Article 132269"},"PeriodicalIF":5.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142664213","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":"Applicability analysis of comprehensive drought index based on GRACE data in ten major river basins in China","authors":"Rong Wu ,&nbsp;Zijun Wang ,&nbsp;Chenfeng Cui ,&nbsp;Yongxiang Li ,&nbsp;Miao Tang ,&nbsp;Jiangdong Chu ,&nbsp;Renjie Xv ,&nbsp;Chenrui Zhu ,&nbsp;Shuo Wang ,&nbsp;Yuli Li ,&nbsp;Chengyuan Zhang ,&nbsp;Zhannan Huang","doi":"10.1016/j.jhydrol.2024.132275","DOIUrl":"10.1016/j.jhydrol.2024.132275","url":null,"abstract":"<div><div>As hydroclimatic extremes, drought triggered by climate change and human activities are recurrent over China. Selecting an appropriate comprehensive drought index is an important measure to comprehensively monitor drought characteristics. Precipitation and Terrestrial Water Storage Anomalies (TWSA) are important variables for assessing drought triggered by water deficiency in the atmosphere and terrestrial systems. The study aims to compare and discuss the applicability of drought index based solely on TWSA (DSI) and based on the combined effects of precipitation and TWSA (CCDI) in monitoring comprehensive drought in China. The results reveal that precipitation anomalies do not align with TWSA in arid basins, while they are synchronized in humid basins. CCDI reveals more favorable spatiotemporal agreement with the traditional drought indices, whereas DSI shows more consistency with common drought indices in humid basins. CCDI and DSI are suitable for assessing comprehensive drought in arid and humid basins, respectively. Moreover, almost both DSI and CCDI successfully monitored major drought periods in humid and arid basins during 2002–2006 and 2013–2017, respectively. Overall, this study highlights the applicability of CCDI and DSI in comprehensive drought assessment in arid and humid basins, respectively, providing valuable support for optimizing water resources utilization, management, and drought resistance decision-making.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132275"},"PeriodicalIF":5.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663280","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":"Coastal urban flood risk management: Challenges and opportunities − A systematic review","authors":"Farhan Aziz ,&nbsp;Xiuquan Wang ,&nbsp;Muhammad Qasim Mahmood ,&nbsp;Muhammad Awais ,&nbsp;Bill Trenouth","doi":"10.1016/j.jhydrol.2024.132271","DOIUrl":"10.1016/j.jhydrol.2024.132271","url":null,"abstract":"<div><div>Generational mechanisms and spatio-temporal evolution patterns of coastal urban flood risk involve complex interactions between climate change, sea level rise and human-induced factors, necessitating integrated adaptive flood management strategies to mitigate evolving vulnerabilities. This systematic review offers a thorough assessment of the challenges and strategic opportunities for sustainable adaptation in managing flood risk in coastal urban areas. It integrates emerging innovative technologies and financial solutions to identify promising approaches to implement mitigation strategies and improve coastal urban flood resilience. Enhancing governance and policy frameworks is crucial for the successful implementation of coastal urban flood risk management (CUFRM) plans. An innovative participatory planning framework is developed to promote flood management practices which are socially inclusive and equitable. Funding for green infrastructure and nature-based solutions and the strategic use of public-private partnerships are effective methods for advancing sustainable flood risk management (FRM). The advancements in emerging technologies, such as artificial intelligence (AI), machine learning (ML), deep learning (DL), social media and digital twin technologies, provide dynamic and collaborative platforms for simulating flood scenarios and have potential to significantly improve CUFRM practices. In the end, a cross-country comparison of current practices in Australia, China, the Netherlands, the UK and the USA reveals a diverse range of approaches and valuable insights derived from regional experiences. The review provides a comprehensive analysis for researchers, policymakers and practitioners aiming to improve flood resilience in coastal metropolitan regions by learning from effective UFRM approaches that enhance governance structures, infrastructure resilience and funding mechanisms.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132271"},"PeriodicalIF":5.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663571","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":"How has the latest IMERG V07 improved the precipitation estimates and hydrologic utility over CONUS against IMERG V06?","authors":"Siyu Zhu ,&nbsp;Zhi Li ,&nbsp;Mengye Chen ,&nbsp;Yixin Wen ,&nbsp;Shang Gao ,&nbsp;Jiaqi Zhang ,&nbsp;Jiao Wang ,&nbsp;Yi Nan ,&nbsp;Sebastian C. Ferraro ,&nbsp;Theresa E. Tsoodle ,&nbsp;Yang Hong","doi":"10.1016/j.jhydrol.2024.132257","DOIUrl":"10.1016/j.jhydrol.2024.132257","url":null,"abstract":"<div><div>Precipitation, a crucial element of the water cycle, significantly impacts surface streamflow and flooding dynamics. The latest version of Integrated Multi-satellitE Retrievals for GPM (IMERG V07) has garnered global attention for its advancements over its predecessor, IMERG V06. However, the improvement in precipitation rates has not yet been fully quantified, especially when translated into improvements in hydrologic predictions. In this study, we aim to quantify the improvements of IMERG V07 over V06 in the contiguous United States (CONUS) in the aspects of (1) Evaluating the accuracy of precipitation data against Multi-Radar Multi-Sensor (MRMS); and (2) Comparing their hydrologic performance using a hydrologic model, the Coupled Routing and Excess Storage (CREST), against United States Geological Survey (USGS) streamgages. This study mainly finds that: (1) Metrics for both precipitation and streamflow from CREST show that IMERG V07 significantly outperforms IMERG V06. Specifically, the CC improved from 0.391 to 0.443 for precipitation and from 0.487 to 0.515 for streamflow; (2) The improvements in IMERG V07 are region-dependent. Significant improvements are found in basins with small areas (&lt; 1000 km²), in mid-latitudes (41° N to 43° N), at low average elevations (&lt; 800 m), and those located in the northeastern CONUS; (3) In certain cases, IMERG V07 demonstrates a better capability in estimating extreme precipitation, whereas IMERG V06 tends to underestimate it. This is also reflected in the streamflow data, where IMERG V07 better captures flood peaks compared to IMERG V06. This research enhances our understanding of flood dynamics by analyzing IMERG V07′s advancements and their effects on hydrologic predictions. It offers valuable insights into improved precipitation data’s role in hydrological modeling, giving potential benefits for simulating better flood prediction and helping in water management.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132257"},"PeriodicalIF":5.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663565","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":"Sensitivity of mass flux reduction and mass removal of perfluoroalkyl substances to groundwater flow and transport parameter variability and heterogeneity","authors":"Ruba A.M. Mohamed ,&nbsp;Mohamad R. Soltanian ,&nbsp;Dengjun Wang ,&nbsp;Kenneth C. Carroll","doi":"10.1016/j.jhydrol.2024.132268","DOIUrl":"10.1016/j.jhydrol.2024.132268","url":null,"abstract":"<div><div>Heterogeneity of soil hydraulic (e.g., hydraulic conductivity (<em>K_S</em>), porosity (<em>θ_S</em>)) and chemical (e.g., solid-phase adsorption (<em>K_d</em>)) properties complicates contaminant transport by creating spatial variability in sources of contaminant leaching. There is a knowledge gap on the effect of the interplay between these properties on the retardation and transport of per- and polyfluoroalkyl substances (PFAS) with different properties including carbon–fluorine chain-length and functional groups even in water-saturated conditions. Breakthrough curves have been used to evaluate PFAS transport behavior through heterogeneous media, including arrival time, maximum concentration, and tailing behavior. Contaminant mass flux reduction and mass removal correlations are also compared using numerical modeling to characterize PFAS transport through different source zones within a two-domain, heterogeneous system with comparison to homogeneous scenarios under water-saturated conditions. With heterogeneous properties, model sensitivity to <em>K_S</em> was the highest among the other parameters and was controlled by the <em>K_S</em> ratio between the different soils. The PFAS models in the homogeneous and heterogeneous scenarios were both sensitive to <em>θ_S</em>, depending on PFAS chain length. However, long-chain PFAS were less sensitive to <em>θ_S</em> variability compared to short-chain PFAS due to their higher <em>K_d</em>. The homogeneous and heterogeneous scenarios were equally sensitive to <em>K_d</em> variability, which was dependent on PFAS chain length.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132268"},"PeriodicalIF":5.9,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663567","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":"Untangling the coupling effect of water quality and quantity on lake algal blooms in Lake Hulun from a dual perspective of remote sensing and sediment cores","authors":"Hao Zhang ,&nbsp;Yu Li ,&nbsp;Bo Yao ,&nbsp;Yuqi Huang ,&nbsp;Shengrui Wang ,&nbsp;Shouqing Ni","doi":"10.1016/j.jhydrol.2024.132141","DOIUrl":"10.1016/j.jhydrol.2024.132141","url":null,"abstract":"<div><div>Algal blooms and sediment diatoms are crucial indicators of lake water ecology, influenced by water quantity and quality. However, the coupled effects of water quality and quantity changes on algal blooms are still unclear, especially for lakes in cold and arid regions. This study assessed the long-term variations in algal blooms in Hulun Lake using a novel approach combining remote sensing and sediment core samples for diatom analysis. Two mutation points from the structural change test were identified in approximately 2000 and 2010 for algal bloom area (MBE) and sediment diatom richness, indicating asynchronous algal blooms. A structural equation model (SEM) demonstrated that water level (WL) changes were the dominant influencing factor, co-driving the variations in algal blooms and sediment diatoms in conjunction with total nitrogen (TN), total phosphorus (TP), and chemical oxygen demand (COD). The results revealed nonlinear relationships between the lake WL, TN, Chla, and COD. The water level of 543 m emerged as a critical threshold affecting the relationship between water quality and quantity. Distinct differences in this relationship were observed when water levels were above or below this threshold. These variations became particularly pronounced during periods of high and low water levels. The results provide novel insights into the dynamics of algal blooms and can further support lake ecosystem conservation and management.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132141"},"PeriodicalIF":5.9,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663517","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 precipitation corrections to enhance high-alpine hydrological modeling","authors":"Thomas Pulka ,&nbsp;Mathew Herrnegger ,&nbsp;Caroline Ehrendorfer ,&nbsp;Sophie Lücking ,&nbsp;Francesco Avanzi ,&nbsp;Herbert Formayer ,&nbsp;Karsten Schulz ,&nbsp;Franziska Koch","doi":"10.1016/j.jhydrol.2024.132202","DOIUrl":"10.1016/j.jhydrol.2024.132202","url":null,"abstract":"&lt;div&gt;&lt;div&gt;Gridded meteorological data products often fall short in accurately capturing the amount of precipitation and its patterns in regions characterized by high elevations and complex topography. However, realistic precipitation data is crucial for high-alpine hydrological modeling. To address these discrepancies, we analyze possible corrections for solid, liquid and total precipitation of the 1 km&lt;sup&gt;2&lt;/sup&gt; gridded meteorological INCA-product in the high-alpine catchment of the Kölnbrein hydropower reservoir operated by VERBUND Hydro Power GmbH in the Malta Valley in Austria. By leveraging information from a stereo-satellite-derived snow depth map with physically-based snowpack modeling with Alpine3D, we quantitatively adjust and spatially redistribute solid precipitation, complemented by a multiplicative, stepwise correction model for liquid precipitation. We compare and evaluate five approaches using the hydrological COSERO model to our &lt;em&gt;a&lt;/em&gt;) baseline simulation with no corrections on INCA in contrast of correcting, &lt;em&gt;b&lt;/em&gt;) the amount and distribution of solely solid precipitation, &lt;em&gt;c&lt;/em&gt;) the amount of liquid and solid precipitation, &lt;em&gt;d&lt;/em&gt;) the amount of liquid and solid precipitation and the spatial distribution of the latter, &lt;em&gt;e&lt;/em&gt;) precipitation inversely by the inflow bias, and &lt;em&gt;f&lt;/em&gt;) calibrating the precipitation correction factor. In evaluating these strategies to improve the accuracy of reservoir inflow predictions, we found that separately correcting solid and liquid precipitation yielded the best results (&lt;em&gt;c&lt;/em&gt; &amp; &lt;em&gt;d&lt;/em&gt;), with a substantial increase of up to 65% over the study period (1.10.2015–30.9.2023), while the other correction variants ranged between 42 and 52%. The inflow predictions by COSERO showed an increase in Nash-Sutcliffe Efficiency (NSE) by 17% and in Kling-Gupta Efficiency by 57% and 59% for variants &lt;em&gt;c&lt;/em&gt; and &lt;em&gt;d&lt;/em&gt;, respectively, along with an almost complete elimination of model bias. The higher KGE values observed for variant &lt;em&gt;d&lt;/em&gt; compared to &lt;em&gt;c&lt;/em&gt; during spring, summer, and fall suggest that a more realistic snow distribution enhances the simulation of snowmelt-driven runoff dynamics. In contrast, using a global (i.e., spatially homogeneous) and uniform (i.e., not distinguishing between liquid and solid precipitation phase) correction factor, inversely derived from the inflow bias (&lt;em&gt;e&lt;/em&gt;), or solely correcting solid precipitation (&lt;em&gt;b&lt;/em&gt;), demonstrated less performance, with a KGE increase of 47% and 49%, respectively, compared to 59% for variant &lt;em&gt;d&lt;/em&gt;. Conversely, the calibration of the global and uniform correction factor (&lt;em&gt;f&lt;/em&gt;) resulted in significant performance metric improvements (17% NSE, 60% KGE and 90% pBias), similar to variant &lt;em&gt;d&lt;/em&gt;, however also led to unrealistic simulations of evapotranspiration, sublimation and glacier net runoff. The simulated water balance components – evapotranspiration and sublimation","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132202"},"PeriodicalIF":5.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663566","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":"Identifying control factors of hydrological behavior through catchment classification in Mainland of China","authors":"Huan Xu ,&nbsp;Hao Wang ,&nbsp;Pan Liu","doi":"10.1016/j.jhydrol.2024.132206","DOIUrl":"10.1016/j.jhydrol.2024.132206","url":null,"abstract":"<div><div>Catchment classification based on hydrological similarity helps to understand the control factors of hydrological behavior. However, the relationship between hydrological behavior and its influencing factors has been unclear in Mainland of China because long-term and widely-distributed flow data is unavailable. Thus, this study intends to identify control factors of hydrological behavior in China’s basins by using classification. Gauged basins are clustered into several classes using the fuzzy c-means method based on flow signatures, which quantify catchment hydrological behavior. The classification and regression tree is employed to learn from cluster results and then obtain classes of basins without observed flow. Correlation methods are used to analyze the influence of basin signatures on flow signatures, while the difference significance test is applied to the hydrological behavior diversity between clusters from classification and regression tree. Results show that China’s basins are divided into five clusters, with low flow signatures more distinguishing classes than high flow signatures. It confirms that climate factors dominate hydrological behavior. However, soil is also an important control factor found in this study, which is rare in others. These findings help to understand hydrological behavior in China and reveal its control factors.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132206"},"PeriodicalIF":5.9,"publicationDate":"2024-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663518","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":"Estimating sediment delivery ratio using the RUSLE-IC-SDR approach at a complex landscape: A case study at the Lower Snowy River area, Australia","authors":"Xihua Yang ,&nbsp;John Young ,&nbsp;Haijing Shi ,&nbsp;Qinggaozi Zhu ,&nbsp;Ian Pulsford ,&nbsp;Greg Chapman ,&nbsp;Leah Moore ,&nbsp;Angela G Gormley ,&nbsp;Richard Thackway ,&nbsp;Tim Shepherd","doi":"10.1016/j.jhydrol.2024.132237","DOIUrl":"10.1016/j.jhydrol.2024.132237","url":null,"abstract":"<div><div>Understanding the dynamics of sediment transport and deposition in natural landscapes is critical to developing cost-effective mitigation measures to control soil erosion and protect ecosystems. However, none of a single existing model can quantify sediment delivery ratio (SDR) and the impact factors such as vegetation and geomorphology, especially in a complex landscape. In this case study, we applied an integrated approach including the revised universal soil loss equation (RUSLE) and the index of connectivity (IC) to assess hillslope erosion and SDR, namely RUSLE-IC-SDR, across a complex landscape in the Lower Snowy River area, Australia. The RUSLE factors were derived from a high-resolution (2 m) digital elevation model (DEM), digital soil maps, high-resolution rainfall data and remotely sensed fractional vegetation cover. A seven-class landform classification was delineated from the high-resolution DEM using a fuzzy logic landform model (FLAG). We further examined the impacts of rainfall, vegetation cover and geomorphology on sediment dynamics and distribution across the study area. Field and laboratory data from 10 plot sites across the study area were collected and used for model validation. This case study showed that the RUSLE-IC-SDR approach can assess the overall sediment budget and the impacts of rainfall, vegetation cover and geomorphology across a complex landscape. Findings from this study can identify and track the areas likely to generate high sediment yield for developing ecological restoration, feral animal management and other catchment management measures.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"645 ","pages":"Article 132237"},"PeriodicalIF":5.9,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142663570","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 soil water movement and soil water content uniformity under sprinkler irrigation with different soil texture and irrigation uniformity using numerical simulation","authors":"Rui Chen,&nbsp;Hong Li,&nbsp;Jian Wang,&nbsp;Xin Guo,&nbsp;Yu Xiang","doi":"10.1016/j.jhydrol.2023.130356","DOIUrl":"10.1016/j.jhydrol.2023.130356","url":null,"abstract":"<div><p>Water movement and its distribution uniformity in the soil are essential for the design of sprinkler irrigation systems. They are both crucial factors influencing nutrient migration and the productivity of crops. In this study, a new numerical simulation method was proposed to investigate the soil water movement in sprinkler irrigation under nonuniform infiltration boundary conditions using COMSOL software. Besides, two soil tank experiments were conducted to test the reliability of the simulation model. Finally, the model was applied to evaluate the effects of sprinkler irrigation uniformity, soil texture, and initial soil water content on soil wetting patterns and soil water content uniformity. The results showed that the COMSOL-2D predictions of the vertical wetting fronts were in good agreement with the experimental data. The soil texture and initial soil water content influenced the soil wetting pattern and the risks of surface runoff and deep percolation in sprinkler irrigation systems. When the water application rate was 11.35 mm h⁻¹ with an irrigation duration of 10 h, it was easy to cause surface runoff in silty clay loam while deep percolation in loamy sand. Additionally, when the initial soil water content is high, it should be better to avoid irrigation or cut down the irrigation duration to prevent percolation. The water within the soil was more uniformly distributed than that applied through a sprinkler irrigation system. The uniformity coefficient of soil water content distribution (CU_s) increased from 87.75 % to 95.56 %, as the uniformity coefficient of sprinkler irrigation (CU) increased from 40.74 % to 82.41 %. Although a higher initial soil water content brought a higher soil CU_s value, it also led to a higher risk of percolation. The experimental and simulation results indicated that the COMSOL-2D model could be used to accurately simulate soil water movement in sprinkler irrigation and determine the suitable operation mode of low-pressure sprinklers.</p></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"626 ","pages":"Article 130356"},"PeriodicalIF":6.4,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164588","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}