Agricultural Water Management最新文献

{"title":"Improving actual evapotranspiration estimation under water stress by fusing solar-induced fluorescence, photochemical reflectance index, and interpretable deep learning models","authors":"Yao Li ,&nbsp;Jiayu Wu ,&nbsp;Xuegui Zhang ,&nbsp;Xiaobo Gu ,&nbsp;Jiatun Xu ,&nbsp;Huanjie Cai ,&nbsp;Xiongbiao Peng","doi":"10.1016/j.agwat.2026.110223","DOIUrl":"10.1016/j.agwat.2026.110223","url":null,"abstract":"<div><div>Accurately estimating actual crop evapotranspiration (ET_{c act}) is critical for evaluating crop water use efficiency and simulating regional water–carbon cycles, particularly under the increasing frequency of climate change and drought events. Traditional meteorology-based ET_{c act} estimation methods often fall short in capturing the physiological processes of photosynthesis and energy partitioning in vegetation. In contrast, two spectral indicators—solar-induced chlorophyll fluorescence (SIF) and photochemical reflectance index (PRI)—provide additional information related to crop light use efficiency and short-term stress responses. This study developed a multi-source driven framework for ET_{c act} estimation by integrating meteorological and spectral data, based on continuous field observations of rainfed winter wheat from 2021 to 2024. Machine learning (ML) and deep learning (DL) models were used to evaluate the impact of multiple feature combinations, and Shapley additive explanation (SHAP) analysis was applied to interpret model behavior. The results showed that: (1) Correlation and maximal information coefficient analyses identified net radiation (Rn), SIF, and air temperature (Tair) as the dominant controls of ET_{c act} variability, while the contribution of PRI became more evident under drought conditions; (2) Scenario S2 (Rn, SIF, PRI, and Tair) achieved the best balance between feature dimensionality and estimation accuracy; (3) The Temporal Convolutional Network (TCN) achieved the highest performance, with an average R² of 0.93 and RMSE and MAE values of 0.78 mm·day⁻¹ and 0.88 mm·day⁻¹, respectively, surpassing traditional ML and Long Short-Term Memory models; (4) SHAP analysis revealed an increase in PRI’s contribution under drought, supporting its complementary role to SIF in representing water-stress-related physiological responses. By integrating meteorological and spectral information, this study proposes an ET_{c act} estimation framework with enhanced physiological interpretability and highlights the synergistic value of combining SIF and PRI inputs. These findings provide technical pathways and theoretical support for crop water use efficiency monitoring, drought response analysis, and regional evapotranspiration modeling.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110223"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146172746","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":"Corrigendum to “AI-driven decision support system enhances productivity, water use efficiency, and soil sustainability of strategic crops in sandy soils” [Agric. Water Manag. 325 (2026) 1–9/110198]","authors":"Eman I.R. EMARA ,&nbsp;Abdullateef M. Al-SAEED ,&nbsp;Lamy M.M. HAMED","doi":"10.1016/j.agwat.2026.110240","DOIUrl":"10.1016/j.agwat.2026.110240","url":null,"abstract":"","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110240"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777206","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":"Resistance optimization and applicability of the TSEB model in desert–oasis areas","authors":"Shuo Lun ,&nbsp;Tingxi Liu ,&nbsp;Yongzhi Bao ,&nbsp;Lina Hao ,&nbsp;Limin Duan ,&nbsp;Wei Zhang ,&nbsp;Simin Zhang ,&nbsp;Yiran Zhang ,&nbsp;V.P. Singh ,&nbsp;Dongmin Wang","doi":"10.1016/j.agwat.2026.110231","DOIUrl":"10.1016/j.agwat.2026.110231","url":null,"abstract":"<div><div>Evapotranspiration (ET) is crucial for the water and carbon cycles of ecosystems, and accurate characterization of ET processes is essential for understanding regional water cycle mechanisms and ecohydrological dynamics. However, limitations in observational data and conventional modeling frameworks continue to constrain the accuracy of ET estimation over complex desert–oasis surfaces. In this study, the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM) was integrated with the Two-Source Energy Balance (TSEB) model to simulate ET at an 8-day temporal and 30 m spatial resolution in a typical desert–oasis region. The interpolated meteorological station data and MODIS-Landsat fusion data were employed as the model inputs, and an additional heat transfer resistance formulation (KB) combined with an improved canopy/soil resistance equation was incorporated to optimize the TSEB model. Model parameters were further refined using the Monte Carlo method, and the model was validated against eddy covariance observations. The results demonstrated that the introduction of additional heat transfer resistance and improved canopy/soil resistance equations substantially reduced the overestimation and underestimation of latent heat flux (LE) and sensible heat flux (H) in the original model. The TSEB-MH model produced the most accurate sensible heat flux estimates (RMSE = 22.18 W m², R² = 0.64), reducing RMSE by 49.9 %, 20.1 %, and 34.0 % relative to TSEB, TSEB-KB, and TSEB-CH, respectively (RMSE = 44.30/27.76/33.60 W m^2; R² = 0.49/0.51/0.60). Meanwhile, R² increased by 0.15, 0.13, and 0.04 compared with TSEB, TSEB-KB, and TSEB-CH, respectively. For latent heat flux, the simulation accuracies of the TSEB, TSEB-KB, TSEB-CH, and TSEB-MH models were RMSE = 62.36/53.13/53.32/54.8 W/m² and R² = 0.62/0.70/0.72/0.69, with the TSEB-CH model performing best. The comparison of multi-year cumulative ET from 2013 to 2022 estimated by the TSEB-CH and TSEB-MH models and two ET products indicated that the TSEB-MH and TSEB-CH models provided higher spatial resolution and accuracy in ET estimation, particularly in arid and topographically complex areas. This study enhances the applicability of the TSEB model for energy flux estimation across desert–oasis surfaces and provides technical support for desertification control, ecological restoration, and water resource management in arid regions.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110231"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147386127","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":"Assessment of deficit irrigation impacts on water productivity and crop yield in the arid yellow river Basin using the SWAT model","authors":"Haoze Zhang ,&nbsp;Wenzhi Zeng ,&nbsp;Haoyu Wang ,&nbsp;Yi Liu ,&nbsp;Chang Ao","doi":"10.1016/j.agwat.2026.110244","DOIUrl":"10.1016/j.agwat.2026.110244","url":null,"abstract":"<div><div>Precision irrigation technologies, epitomized by drip irrigation, are crucial for mitigating agricultural water scarcity in arid regions. However, their widespread adoption is constrained by high initial investments, complex technical demands, and potential environmental risks. Consequently, a vast water-saving potential remains untapped within the less efficient, conventional irrigation systems that still dominate vast territories, such as Northwest China. This study presents a pragmatic and cost-effective pathway to enhance water productivity by evaluating alternative irrigation management. We developed and validated a coupled hydrological-crop growth framework using an improved Soil and Water Assessment Tool (SWAT) model for a large, canal-fed plain irrigation district in the Yellow River Basin. The model demonstrated high credibility, with a Nash-Sutcliffe efficiency NSE of 0.61 for runoff simulation and a coefficient of determination R² of 0.95 for maize yield estimation. The results reveal that strategic deficit irrigation, applied during non-critical growth stages, can reduce annual water diversion by 11 %–17 % while limiting yield losses to a marginal 2 %–3 %. This concurrently increases regional water productivity by 0.05–0.13 kg/m³ . Our study provides a model-driven framework demonstrating that achieving substantial water savings and ensuring stable food production is feasible without immediate, large-scale hardware investments.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110244"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777199","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":"Determination of irrigation water use from multiple soil moisture observations at a fine spatial resolution: Preferred model optimization and fusion strategy","authors":"Qiu-Yu Yan ,&nbsp;Shuangxue Zhai ,&nbsp;Pei Leng ,&nbsp;Chunfeng Ma ,&nbsp;Abba Aliyu Kasim ,&nbsp;Seokhyeon Kim ,&nbsp;Qian-Yu Liao ,&nbsp;Tian Ma ,&nbsp;Yun-Jing Geng ,&nbsp;Shiyuan Fu ,&nbsp;Muhannad Adnan Siddique ,&nbsp;Yayong Sun ,&nbsp;Jianwei Ma ,&nbsp;Xiaoning Song ,&nbsp;Zhao-Liang Li","doi":"10.1016/j.agwat.2026.110232","DOIUrl":"10.1016/j.agwat.2026.110232","url":null,"abstract":"<div><div>Determining high-resolution irrigation water use (IWU) is essential for agricultural water management. However, current remote sensing and statistics-based approaches suffer from either a challenge of coarse spatial resolution or insufficient irrigation details. Given that IWU estimation is fundamentally dependent on soil moisture (SM) dynamics in accordance with the water balance principle, we have proposed a framework to determine the IWU amount using multiple SM observations at kilometer scale across the entire irrigated farmlands throughout China. This framework specifically focuses on investigating SM dynamics at which depth is optimal for estimating IWU, considering that irrigation water infiltration leads to asynchronous SM variations across soil column. Moreover, an optimal fusion strategy was implemented to mitigate the possible error of a single SM data on the determination of the individual IWU amount estimation. The proposed framework exhibits the best IWU estimates when considering SM dynamics at the top layer (0–10 cm), with a correlation coefficient (R) of 0.79 and an unbiased root mean square error (ubRMSE) of 4.14 km³/year compared with statistics collected from the China Water Resources Bulletin over a period of 10 years (2010–2019). This result demonstrates the feasibility of using satellite SM products to estimate the IWU amount. An optimal fusion strategy incorporating multiple satellite-based fine resolution SM products shows improved IWU estimates with an ubRMSE decrease of approximately 10 % (3.72 km³/year), indicating the effectiveness of multiple satellite SM datasets in reducing the uncertainty associated with IWU estimation.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110232"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777221","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 application and irrigation system on gregate and soil respiration","authors":"Jiaping Liang ,&nbsp;Jun Yang ,&nbsp;Na Li ,&nbsp;Qiliang Yang","doi":"10.1016/j.agwat.2026.110248","DOIUrl":"10.1016/j.agwat.2026.110248","url":null,"abstract":"<div><div>Biochar application enhances soil structural health and reduces carbon release by promoting aggregate stability and inhibiting microbial activity, while irrigation management exerts either stimulatory or inhibitory effects on soil aggregates and soil respiration (<em>R</em>_s) through water regulation. However, both are influenced by factors such as biochar properties, application rates, and irrigation regimes, leading to uncertainties in existing research findings. Based on data collected from 52 relevant studies, this research employed meta-analysis to quantitatively evaluate the effects of biochar and irrigation on the mean weight diameter (MWD), geometric mean diameter (GMD), and <em>R</em>_s of soil aggregates. Subgroup analysis, correlation analysis, and polynomial fitting were used to identify key regulatory factors. The results showed that biochar application significantly increased MWD and GMD, with the most pronounced effects observed for woody/herbaceous feedstocks, pyrolysis at medium-high temperatures (450–550 °C and &gt; 550 °C), pH 8–9, application rates of 20–30 t·ha⁻¹ , and high carbon-to-nitrogen ratios (C:N &gt; 150). Biochar exhibited a weak overall inhibitory effect on <em>R</em>_s (LnRR = −0.048, <em>p</em> &lt; 0.05), but this effect was reversed under high-temperature pyrolysis (&gt; 550 °C) and high application rates (&gt; 50 t·ha⁻¹). In contrast, irrigation under high water volumes (&gt; 1000 mm) and methods such as flood and sprinkler irrigation significantly reduced MWD and GMD but markedly stimulated <em>R</em>_s (LnRR = 0.528–0.853, <em>p</em> &lt; 0.01). Subgroup analysis revealed that climate, soil texture, soil depth, and experimental duration significantly modulated these responses, with subtropical climates, clay loam soils, and surface soils (0–20 cm) showing the most pronounced effects. Correlation analysis further indicated that aggregate stability under biochar treatment was positively correlated with initial soil organic carbon, total nitrogen, and bulk density, whereas <em>R</em>_s under irrigation was primarily driven by soil pH. This study demonstrates that biochar has clear potential for improving soil structural stability and promoting carbon sequestration, while irrigation management requires balancing aggregate structure maintenance with microbial activity stimulation, providing a theoretical basis for sustainable agricultural soil management.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110248"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777203","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":"Selection basis of forage sorghum production system: Assessment of the effects of cutting period and irrigation amount on productivity and resource efficiency","authors":"Chunyan Bai ,&nbsp;Bo Sun ,&nbsp;Fan Feng ,&nbsp;Shayan Ma ,&nbsp;Jian Lan ,&nbsp;Jianqiang Deng ,&nbsp;Le Mu","doi":"10.1016/j.agwat.2026.110234","DOIUrl":"10.1016/j.agwat.2026.110234","url":null,"abstract":"<div><div>Cutting and irrigation are effective measures to improve crop production and resource utilization. However, further research is still needed to explore the synergistic effect of cutting period and irrigation amount on yield enhancement and efficient resource use to exploit sorghum’s regrowth potential in arid regions. A two-year field experiment (2024–2025), including three cutting periods (A1: 75 days after sowing; A2: 90 days after sowing; A3: 105 days after sowing) and three irrigation amounts (B1: 60 mm; B2: 90 mm; B3: 120 mm), with an additional non-cutting treatment under normal irrigation (90 mm)(CK) was conducted in the Northwestern of China. Results showed that adjusting cutting period and irrigation amount could optimize forage sorghum canopy development to enhance the productivity and resource utilization (<em>P</em> &lt; 0.05). Early cutting (A1) minimized yield reduction (6–12 %) and achieved the highest RUE (up to 2.09 g MJ⁻¹), while mid-term cutting (A2) combined with increased irrigation (120 mm) produced the greatest water productivity of dry matter yield (WP_DM) (44.1 kg ha⁻¹ mm⁻¹) and balanced yield performance (12.9 t ha⁻¹). In contrast, late cutting (A3) consistently resulted in the lowest efficiency (WP_DM 28.5–28.8 kg ha⁻¹ mm⁻¹) particularly under increased irrigation. Surface fitting analysis further indicated that maximum DM was achieved under mid or late cutting with normal or increased irrigation, whereas the maximum WP_DM and RUE concentrating in early cutting with reduced irrigation. These findings highlight the trade-offs between yield stability and efficiency optimization, suggesting that early cutting is preferable for efficiency-oriented production, while mid-term cutting with increased irrigation optimizes both yield and resource use. This study provides scientific basis for tailoring cutting period and irrigation amount of forage sorghum, offering practical guidance for sustainable forage-livestock systems in the Northwest of China.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110234"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146778826","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":"Subsoiling increases soil carbon and wheat yields by altering the deep soil and the hydrolase to oxidase ratio under saline water irrigation","authors":"Fengli Jiao ,&nbsp;Zhiduo Dong ,&nbsp;Jingxiang Hou ,&nbsp;Jia Gao ,&nbsp;Xinlong Li ,&nbsp;Shaozhong Kang ,&nbsp;Taisheng Du ,&nbsp;Ling Tong ,&nbsp;Jian Kang ,&nbsp;Wanli Xu ,&nbsp;Guangmu Tang ,&nbsp;Risheng Ding","doi":"10.1016/j.agwat.2026.110220","DOIUrl":"10.1016/j.agwat.2026.110220","url":null,"abstract":"<div><div>Carbon pool management index (CPMI), which combines carbon pool capacity and carbon activity, is crucial for understanding carbon flow in soil. It is essential to determine whether changes in soil carbon components due to saline irrigation diminish the CPMI, which could negatively impact soil stability. A study conducted over two winter wheat and two spring wheat seasons in the arid northwest region investigated how soil enzyme activity and carbon storage in both surface and deep soils respond to saline irrigation under rotary and subsoiling management. During the vegetative growth stage, subsoiling promoted tiller differentiation. In the reproductive growth stage, saline irrigation enhanced the tiller success rate but reduced the ratio of spikes to dry matter (DM). Specifically, in the 0–20 cm soil layer, subsoiling increased the levels of clay, silt, and SOC. This enhancement resulted in improved soil hydrolase and oxidase activity, raising CPMI for winter and spring wheat by 12.09 % and 8.00 %, respectively. Additionally, the ratio of spikes to DM improved by 13.90 % and 9.38 %, resulting in overall yield increases of 15.88 % and 15.77 %. Under saline irrigation, subsoiling for winter and spring wheat effectively utilized high-quality substrates in the 20–40 cm soil layer to construct a stable C pool. This was achieved by enhancing overall enzyme activity and the hydrolase to oxidase ratio, thereby attenuating the adverse effects of reduced labile organic carbon components caused by decreased clay and silt proportions from saline irrigation. These results support the use of subsoiling as a resilient tillage strategy under saline irrigation.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110220"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146209951","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 co-ridge planting on soil water distribution characteristics and interspecific reciprocal utilization in maize intercropping with peanut","authors":"Yingchao Wang ,&nbsp;Jiangtao Wang ,&nbsp;Na Liang ,&nbsp;Ling Liu ,&nbsp;Guozhan Fu ,&nbsp;Tangyuan Ning ,&nbsp;Nianyuan Jiao","doi":"10.1016/j.agwat.2026.110243","DOIUrl":"10.1016/j.agwat.2026.110243","url":null,"abstract":"<div><div>To investigate co-ridge planting (RIC) effects on soil water distribution characteristics and interspecific water reciprocal utilization (ΔΔSWS_CO-) in maize intercropped with peanuts (maize||peanut), a field experiment was conducted with root separation (eliminated belowground interspecific effects) and no separation (existing belowground interspecific interaction) conditions, using flat planting (FIC) as control. This study examined RIC effects on soil water distribution, soil water storage (SWS), ΔΔSWS_CO-, yield, and water use efficiency (WUE) in 0–100 cm soil layer. Soil water distribution under FIC showed “<figure><img></figure>” and “<figure><img></figure>” patterns in one planting unit (one row of maize and two of peanuts) under drought and flood conditions, respectively, while the RIC showed “<figure><img></figure>” and “<figure><img></figure>” patterns. Compared to FIC, the soil water content and SWS were higher and lower in the maize and peanut strips in the 0–60 cm soil layer under RIC, respectively. For RIC, under flood conditions, root separation reduced the soil water content and SWS in maize and peanut strips at 0–60 cm compared to those in the no root separation. During drought, this occurred in the maize strip at 0–40 cm, whereas both indices increased in the peanut strip at 0–60 cm. RIC increased the ΔΔSWS_CO- under both conditions with phosphorus (P₁₈₀) application compared to FIC. Maize and peanut yields, WUE, water equivalent ratio (WER), and land equivalent ratio (LER) were higher under RIC than FIC. Under RIC, maize and peanut yields, WUE, and WER were lower with root separation than those with no separation, suggesting that RIC benefits yield and WUE in maize||peanut systems. RIC creates alternating “wet-and-dry” soil ridge-furrow environments, facilitating soil water absorption and utilization by the maize strip and creating a suitable soil water environment for the peanut strip, thereby fulfilling the water needs of both crops and promoting ΔΔSWS_CO-.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110243"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777208","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":"Crop irrigation with treated wastewater in sustainable agriculture: Investigating farmer behavior","authors":"Yi-Jia Wang ,&nbsp;Jifeng Pan ,&nbsp;Qiang Fu ,&nbsp;Naihui Wang ,&nbsp;Mo Li ,&nbsp;George Q. Huang","doi":"10.1016/j.agwat.2026.110230","DOIUrl":"10.1016/j.agwat.2026.110230","url":null,"abstract":"<div><div>Crop irrigation with treated wastewater is recognized as a strategy to address water scarcity and promote sustainable practices in agriculture. Farmers, as fundamental components of agricultural systems, play a crucial role in the success of water resource management through their attitudes and behaviors. This study aimed to investigate farmers' adoption of crop irrigation with treated wastewater. We developed a theoretical model integrating subjective cognition with external influences to explore the factors affecting this willingness. Our findings revealed that farmers' green perceived usefulness, environmental policy, and subjective norm positively influenced their willingness to adopt this irrigation method. Production and environmental risks significantly deterred acceptance. The subjective norm was the most crucial factor in shaping farmers' decisions. Additionally, our multi-group analysis indicated significant variations in willingness based on age, education level, and household agricultural income, highlighting the need for targeted approaches in policy and extension services to address these differences effectively.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"326 ","pages":"Article 110230"},"PeriodicalIF":6.5,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146777222","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}