Agricultural Water Management最新文献

{"title":"Quantifying future climate impacts on maize productivity under different irrigation management strategies: A high-resolution spatial analysis in the U.S. Great Plains","authors":"Ikenna Onyekwelu ,&nbsp;Sam Zipper ,&nbsp;Stephen Welch ,&nbsp;Vaishali Sharda","doi":"10.1016/j.agwat.2025.109490","DOIUrl":"10.1016/j.agwat.2025.109490","url":null,"abstract":"<div><div>Producers east of the 100th meridian, a historically wetter portion of the Great Plains, face uncertainties regarding yield, irrigation water use, water productivity, and net returns due to the impacts of climate change in the region. These climate change impacts are spatially variable with a heterogeneous response to environmental variability and different water management techniques. Therefore, the present study addresses climate change impacts on irrigated maize productivity in the Eastern Kansas River Basin of the Great Plains at a fine spatial scale using Shawnee County, Kansas as a case study. We incorporated spatially variable soils and grid-level historical and future climate scenarios under different irrigation management strategies as inputs to CERES-Maize crop model. Our model validations closely matched observed yield and irrigation water use, with index of agreement values exceeding 0.85. Future climate projections (RCPs 4.5 and 8.5) were analyzed across three 25-year periods (2025–2049, 2050–2074, and 2075–2099) relative to historical conditions (1991–2015). Results showed yield declines of 21–38 % and 22–70 % (RCPs 4.5 and 8.5, respectively) due to shortened growing season length. Irrigation water use under full allocation increased by 9–23 %, while net returns declined significantly, resulting in significant decline in water productivity. We found that deficit irrigation strategies saved 3–15 % of water without further diminishing maize productivity. These findings highlight the importance of fine scale climate impact analysis of crop productivity. Future maize production in the region necessitates integrating yield-advancing cultivars with improved water management found in this study in order to meet the expected grain demand over the next decades.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109490"},"PeriodicalIF":5.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Social capital and behavioral response to water scarcity: Sustainable agriculture policies pathways for adopting dry direct-seeded rice","authors":"Moslem Savari ,&nbsp;Mohammadamin Ghezi ,&nbsp;Homa Molavi","doi":"10.1016/j.agwat.2025.109478","DOIUrl":"10.1016/j.agwat.2025.109478","url":null,"abstract":"<div><div>Farmers play a crucial role in the implementation of sustainable agricultural policies. Their decisions not only directly impact the success of these programs but also contribute significantly to preserving natural resources and protecting the environment. Analyzing farmers’ decisions to shift rice cultivation methods from transplanting in flooded fields to the water-saving and efficient approach of dry direct-seeded rice (DDSR) reveals various influencing factors. Understanding these factors is crucial for identifying the pathways to sustainable agriculture and enabling policymakers and researchers to design more effective and practical programs. In this study, the decision-making process of farmers was analyzed using a combination of two theoretical frameworks: social capital and the theory of planned behavior (TPB). The statistical population comprised all farmers in Shushtar County, located in southwestern Iran, who practice rice cultivation through the flooded method. The results showed that the designed framework was effective, and the research variables explained 75.6 % of farmers' willingness in this regard. The research revealed that social capital elements (social norms, networks, and trust) significantly impacted the key variables in the TPB related to DDSR adoption. The study's conclusions offer valuable perspectives for policymakers seeking to advance sustainable rice production strategies.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109478"},"PeriodicalIF":5.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The biophysical and crop yield effects of irrigation and their changes in China’s drylands","authors":"Shuangshuang Zi ,&nbsp;Yan Li ,&nbsp;Jingwen Zhang ,&nbsp;Chengcheng Hou ,&nbsp;Huiqing Lin ,&nbsp;Zhengjie Xu ,&nbsp;Shan Sang ,&nbsp;Jinwei Dong ,&nbsp;Bojie Fu","doi":"10.1016/j.agwat.2025.109471","DOIUrl":"10.1016/j.agwat.2025.109471","url":null,"abstract":"<div><div>Irrigation is critical for food production, especially in arid and semi-arid regions, and it has complex and interactive effects on local climate, evapotranspiration, and crop growth. Here, we used satellite remote sensing data and statistical models to quantify the biophysical effects of irrigation on land surface temperature (LST), evapotranspiration (ET), crop greenness, and crop yield effects and their spatiotemporal changes in China’s drylands. Results show that during 2001–2012, irrigation in China's drylands led to a significant cooling in daytime LST (-0.52 °C), a weak cooling in nighttime LST (-0.14 °C), and increases in ET (+0.16 mm/d), crop greenness (+0.02) and maize yields (+3.4 ton/ha; 55 %) compared with rainfed croplands. The spatial variations of these irrigation effects were in synergy, driven by irrigation water use and climate conditions, with greater effects in the dry regions with higher irrigation intensity. Temporally, the irrigation cooling effects gradually weakened from 2001 to 2020 (0.08 °C), while the enhanced effects on ET (+0.062 mm/d), crop greenness (+0.006) and maize yields (+720 kg/ha) were still increasing. These divergent changes were mainly driven by declined irrigation water use and increased irrigation water productivity due to adopting water-saving irrigation technologies. This study improves our understanding of the irrigation effects and their responses to changing irrigation practices and climate in water-limited regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109471"},"PeriodicalIF":5.9,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143834129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do cognitive biases influence farmers' participation in water conservation at Lake Urmia? Insights from social norms theory","authors":"Davood Amin Fanak ,&nbsp;Rohollah Rezaei ,&nbsp;Mukhtar Hashemi","doi":"10.1016/j.agwat.2025.109476","DOIUrl":"10.1016/j.agwat.2025.109476","url":null,"abstract":"<div><div>Despite Lake Urmia being an international wetland with ecological, social, and economic value in the area, evidence indicates that its desiccation and degradation have seriously compromised this watershed during the past two decades. In this regard, human elements—particularly cognitive biases—significantly prevent farmers from participating in water conservation initiatives. Accordingly, this study investigated how cognitive biases influence the farmers' participatory water conservation behaviors (PWCBs) in the Lake Urmia basin. To achieve this, the study employed an established socio-psychological theory—Social Norms Theory (SNT)—which has rarely been applied to investigate pro-environmental behaviors (PEBs). A questionnaire survey was distributed amongst 665 farmers within the Lake Urmia basin. The results of the survey indicated that the average age of the farmers was 44.4 years; the mean cultivated land area was 5.5 ha and the average number of land plots was 3.4. Also, the results showed while the extent of PWCBs varied among farmers, most have never engaged in PEBs or have rarely done so. Moreover, the results of the structural equation modeling (SEM) showed that pluralistic ignorance (PI), fundamental attribution error (FAE), false consensus effect (FCE), and bystander effect (BE) exerted statistically significant negative impacts on the PWCB variable. These variables might help explain approximately 61 % of PWCB's variances. Also, the results showed while the extent of PWCBs varied among farmers, most have never engaged in PEBs or have rarely done so. Most importantly, the findings confirmed the validity and usefulness of SNT for predicting PEBs, including PWCB. The study applied and tested SNT in a novel setting (i.e., water-saving behavior), broadening the current empirical and theoretical knowledge on PEBs. Furthermore, this study sheds important light on the design and implementation of suitable and pragmatic solutions that increase farmers' involvement in water conservation practices, thereby helping to support the rehabilitation of Lake Urmia.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109476"},"PeriodicalIF":5.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828201","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of biochar from different pyrolysis temperatures on soil physical properties and hydraulic characteristics in potato farmland of arid and semi-arid regions","authors":"Jiawei Guo ,&nbsp;Hui Zhou ,&nbsp;Liguo Jia ,&nbsp;Yongqiang Wang ,&nbsp;Mingshou Fan","doi":"10.1016/j.agwat.2025.109483","DOIUrl":"10.1016/j.agwat.2025.109483","url":null,"abstract":"<div><div>Biochar application is a promising method for improving soil quality; however, the effects of biochar produced at different pyrolysis temperatures on soil physical properties and hydraulic characteristics in arid and semi-arid regions remain unclear. Therefore, a two-year (2023–2024) field experiment was conducted in the northern Yinshan region of China to evaluate the impacts of biochar pyrolysis temperatures (T1: 300 °C, low; T2: 500 °C, medium; T3: 700 °C, high) and application levels (C1: 10 t ha⁻¹, low; C2: 20 t ha⁻¹, medium; C3: 30 t ha⁻¹, high) on soil physical properties, hydraulic characteristics, and their relationship with potato yield. Results indicated that: (1) Compared to the control (CK), the application of biochar significantly reduced soil bulk density, increased soil porosity, and improved the mean weight diameter (MWD) of soil aggregates and the content of water-stable aggregates larger than 0.25 mm (WR0.25); (2) The application of biochar significantly enhanced soil hydraulic characteristics (saturated water content (θs), field capacity (FC), plant available water (PAW), soil moisture content, and soil water storage) and yield. All hydraulic characteristics and potato yield exhibited a generally downward-opening parabolic trend with increased biochar pyrolysis temperature and application rate. Among these, biochar produced at a medium pyrolysis temperature of 500 °C at an application rate of 20 t ha-1 was optimal, resulting in a 27.15 % increase in potato yield compared to the control (CK); (3) Pearson correlation analysis and PCA showed that biochar application promoted potato yield by improving soil hydraulic performance, with hydraulic characteristics being the primary factor influencing potato yield. To enhance potato farmland's physical and hydraulic properties, we recommend a pyrolysis temperature of 500 °C and an application rate of 20 t ha⁻¹ as the optimal biochar model. This study provides a theoretical basis for using biochar to improve soil quality and enhance crop yield in arid and semi-arid regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109483"},"PeriodicalIF":5.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828202","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction of crop water deficit indicators based on time-lag effects for improved farmland water status assessment","authors":"Yujin Wang ,&nbsp;Zhitao Zhang ,&nbsp;Yinwen Chen ,&nbsp;Shaoshuai Fan ,&nbsp;Haiying Chen ,&nbsp;Xuqian Bai ,&nbsp;Ning Yang ,&nbsp;Zijun Tang ,&nbsp;Long Qian ,&nbsp;Zhengxuan Mao ,&nbsp;Siying Zhang ,&nbsp;Junying Chen ,&nbsp;Youzhen Xiang","doi":"10.1016/j.agwat.2025.109480","DOIUrl":"10.1016/j.agwat.2025.109480","url":null,"abstract":"<div><div>Crop water deficit indicators such as crop water stress index (CWSI), actual crop evapotranspiration (ET), and stomatal conductance (gs) are widely utilized for soil water content (SWC) monitoring. However, time-lag effects between canopy temperature (Tc) and environmental factors can influence their correlation with SWC, thereby complicating the identification of the most reliable diagnostic indicator. This study conducted a two-year field experiment on winter wheat under four irrigation levels (80–95 %, 65–80 %, 50–65 %, and 40–50 % field capacity). Time-lag cross-correlation, time-lag mutual information, grey time-lag correlation analysis, time-lag Almon, and time-lag partial least squares (PLS) were applied to calculate the time-lag parameters. These time-lag parameters were subsequently used to correct the correlations between CWSI, ET, gs, and SWC. The indicator with the strongest correlation to SWC was selected and then predicted using four machine learning models. Results demonstrated that time-lag correction significantly enhanced the correlation between SWC and theoretical CWSI, empirical CWSI, gs, and ET, with increases of 0.15, 0.33, 0.11, and 0.21, respectively; Time-lag mutual information exhibited the highest effectiveness in correcting time-lag effects; The sudden decline in gs and the peak advancement in severe water stress treatments led to abrupt changes in time-lag parameters; The Convolutional Neural Network-Bidirectional Long Short-Term Memory-Adaptive Boosting model achieved the highest accuracy in predicting gs corrected by time-lag mutual information from 8:00–15:00 (R²=0.96). These results provided a theoretical foundation for accurately assessing soil moisture conditions in agricultural fields and contributed to advancing water conservation techniques in arid farmland.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109480"},"PeriodicalIF":5.9,"publicationDate":"2025-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143828203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship of vegetation stand age to soil water dynamics and use in artificial shrublands and grasslands in a semiarid region","authors":"Chenggong Liu ,&nbsp;Xiaoxu Jia ,&nbsp;Lidong Ren ,&nbsp;Chunlei Zhao ,&nbsp;Xiao Bai ,&nbsp;Ming’an Shao","doi":"10.1016/j.agwat.2025.109487","DOIUrl":"10.1016/j.agwat.2025.109487","url":null,"abstract":"<div><div>Vegetation restoration enhances ecosystem services but alters soil hydrological processes in arid and semiarid regions. Understanding vegetation-soil water interactions is crucial for effective water management and sustainable recovery. However, due to the limited long-term monitoring, soil water dynamics and plant water use characteristics at various stages of restored ecosystems remain poorly understood. In this study, we investigated the soil water conditions and water use strategies of typical revegetated shrublands (<em>Caragana korshinskii</em>) and grasslands (<em>Medicago sativa</em>) at 5-, 18-, and 50-yr ages across two growing seasons. Soil water dynamics within 300 cm profile were assessed using the oven-dried method, and plant water use strategies were analyzed using δ²H and δ¹ ⁸O in plant and soil water, and δ¹ ³C in leaves. The results showed a decline in the soil water content from 5 to 18 years in both shrub and grassland ecosystems, with replenishment observed in the 50-yr sites, exceeding that of the other stand ages. The 50-yr <em>C. korshinskii</em> and <em>M. sativa</em> exhibited higher deep soil water utilization with lower intrinsic water use efficiency (iWUE) compared to younger stands. However, both species exhibited consistent shifts in water use strategies across stand ages: during drought years, they relied more on shallow soil water (0–40 cm) with higher iWUE, while in wet years, they used more middle soil water (40–140 cm) with lower iWUE. These findings suggest that soil water conditions and water use characteristics are related to stand ages. After prolonged stand development, soil water deficits were alleviated, and water availability for vegetation increased, potentially improving ecosystem sustainability. Therefore, future management should assess the ecological effects of vegetation restoration over longer developmental stages and implement targeted strategies based on stand ages.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109487"},"PeriodicalIF":5.9,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143826247","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Changes in root growth and water uptake contribute to the yield and water productivity improvement in winter wheat during the past three decades: A case study in the North China Plain","authors":"Haotian Li ,&nbsp;Na Liu ,&nbsp;Liwei Shao ,&nbsp;Xiuwei Liu ,&nbsp;Hongyong Sun ,&nbsp;Suying Chen ,&nbsp;Xiying Zhang","doi":"10.1016/j.agwat.2025.109482","DOIUrl":"10.1016/j.agwat.2025.109482","url":null,"abstract":"<div><div>Over the past three decades the yield and water productivity (WP) of winter wheat have significantly improved in the North China Plain (NCP). The contribution of root systems to these improvements should be understood to develop future strategies for breeding and field management. Continuous root sampling and soil water monitoring were conducted for a long-term irrigation experiment on winter wheat from 1992 to 2023 at the Luancheng Agroecological Experimental Station in the NCP. Three irrigation treatments were selected to represent different water supply conditions, i.e. severe water deficit (SD, no irrigation), moderate water deficit (MD, irrigation of 120–180 mm) and adequate water supply (AW, irrigation of 240–335 mm). For winter wheat, yield increased averagely by 35.0 %, 35.1 % and 42.9 % on average, and WP increased by 19.2 %, 23.2 % and 19.3 % under SD, MD and AW, respectively, from 1992–2023. Corresponding to the improvements in yield and WP, the total root length (TRL) at maturity was decreased by 6.6 %, 7.8 % and 26.2 % under SD, MD and AW, respectively. The reduction in the root length density (RLD) of the 0–40 cm soil layer was 47.4 %, which corresponded to an increase in RLD of 27.7 % in the 40–100 cm layer and 17.5 % in the 100–200 cm layer on average under the three water supply conditions. Redundant root growth in the shallow soil profile decreased without affecting soil water use in the deep soil layer: the root efficiency in water uptake (RE) continuously increased at a rate of 0.30–0.51 10⁻³ m³ km⁻¹ yr⁻¹, and the proportion of soil water depletion that contributed to crop evapotranspiration during the reproductive stage of winter wheat increased from 50.9 %–72.8 % in 1992–1999 to 61.1–78.1 % in 2010–2023 under the three water supply conditions. Optimized distribution of seasonal evapotranspiration increased biomass allocation to grains by 30.0 % for SD, 17.5 % for MD, and 27.0 % for AW from the 1992–2023, whereas the root: shoot ratio (R/S) decreased by 17.0 % for SD, 25.3 % for MD and 22.4 % for AW on average. The results suggest that reducing redundant root growth in the shallow soil profile without affecting soil water use in the deep soil profile could result in a relatively high RE combined with relatively low R/S, thereby reducing root carbohydrate consumption and improving the overall yield and WP of winter wheat.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109482"},"PeriodicalIF":5.9,"publicationDate":"2025-04-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143823466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing seasonal forecast performance to predict crop irrigation requirements to support water management decision-making in the Mediterranean region","authors":"Daniel Garcia ,&nbsp;João Rolim ,&nbsp;Maria do Rosário Cameira ,&nbsp;Gilles Belaud ,&nbsp;Nicolas R. Dalezios ,&nbsp;George Karoutsos ,&nbsp;João A. Santos ,&nbsp;Paula Paredes","doi":"10.1016/j.agwat.2025.109467","DOIUrl":"10.1016/j.agwat.2025.109467","url":null,"abstract":"<div><div>Irrigation water management in the Mediterranean region faces major challenges due to climate variability and changes. To address this reality, tools that support early decision-making are increasingly needed. While seasonal forecasts (SWF) have demonstrated potential to assist the agricultural sector, their practical application in irrigation management remains limited. This study evaluates the accuracy and skill of raw (non-bias-corrected) SWF in predicting weather and climatic demand conditions, crop cycle duration estimated using the growing degree day (GDD) approach and crop irrigation water requirements across the Mediterranean region, focusing on how seasonality and location factors may influence their usefulness. The Lucefecit Collective Irrigation Scheme (Portugal), the Crau irrigated area (France), and the Thessaly Plain (Greece) were selected as key irrigation locations in the Mediterranean region. Durum wheat and maize were selected as representative autumn-winter (AW) and spring-summer (SS) crops, respectively. SWF data were generated within the HubIS project (PRIMA/0006/2019) using the Weather Research and Forecasting system. The results showed that SWF performance varied by predicted variable, season, and location. Overall, the forecasts were more accurate in predicting climatic demand (ET_o) than precipitation, with mean absolute errors (MAE) of 17.0–170.3 mm and 94.8–438.6 mm, respectively. Higher irrigation demands were predicted, especially in SS, as SWF tended to overestimate ET_o (up to 20 %), underestimate seasonal accumulated precipitation (up to 90 %), underestimate temperature (up to 4.5 ºC) and extend crop cycles (up to 60 days). Irrigation requirements anomaly signals were better captured for wheat than for maize. SWF exhibited less skill than the long-term (10-years) weather observed average in almost all cases, except for AW ET_o predictions in Portugal. Nevertheless, the range of irrigation requirements (for wheat 0–489 mm and for maize 563–960 mm) suggests SWF hold potential for early irrigation water management, which could be better achieved with appropriate forecast data corrections.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109467"},"PeriodicalIF":5.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143816146","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The coupled model of water delivery and distribution regulation for single-canal pool systems","authors":"Ke Zhou ,&nbsp;Yu Fan ,&nbsp;Zhanyi Gao ,&nbsp;Haorui Chen ,&nbsp;Xinrong Zheng ,&nbsp;Yun Yang ,&nbsp;Jie Liu","doi":"10.1016/j.agwat.2025.109475","DOIUrl":"10.1016/j.agwat.2025.109475","url":null,"abstract":"<div><div>The coordinated operation of open canal water delivery and distribution systems is fundamental for achieving safe, reliable, efficient, timely, and economical water supply in irrigation districts. In the past, the processes of water delivery and distribution were usually loosely connected, making it difficult to achieve synergistic regulation of both. To solve this problem, this paper establishes the coupled model of canal optimal water distribution and canal control, which realizes the synergistic coupled regulation of water delivery and distribution scheduling under different water supply flow rates. The model initially allocates a water distribution scheme, and then adjusts the water distribution scheme through the hydraulic calculation for the uniform flow area and the backwater area of the canal pool. It subsequently determines the target water level and realizes the coordination and cooperation between the revised and optimized water distribution scheme and the check gate scheduling. Additionally, it scientifically formulates the regulation strategy of the delivery and distribution scheme under different scenarios. The coupled model is applied to the Bojili irrigation district. The results show that the coupled model provides the target water levels, water distribution schemes, and scheduling schemes under three kinds of water supply flow rates of large, medium, and small. It realizes the comprehensive objectives of reducing the frequency and amplitude of gate regulation, minimizing water shortage or oversupply, and the safe operation of the canal. The research results can provide diversified water distribution and regulation schemes for irrigation districts, which have strong practicability and guiding value.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"313 ","pages":"Article 109475"},"PeriodicalIF":5.9,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143815976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}