Agricultural Water Management最新文献

{"title":"Prediction of drought-flood prone zones in inland mountainous regions under climate change with assessment and enhancement strategies for disaster resilience in high-standard farmland","authors":"Yongheng Shen,&nbsp;Qingxia Guo,&nbsp;Zhenghao Liu,&nbsp;Yanli Shen,&nbsp;Yikun Jia,&nbsp;Yuehan Wei","doi":"10.1016/j.agwat.2025.109349","DOIUrl":"10.1016/j.agwat.2025.109349","url":null,"abstract":"<div><div>Predicting drought and flood disaster-prone alternating zones and enhancing cropland disaster resilience are critical for agricultural water management, mitigating meteorological disaster risks, and ensuring food security. However, the spatial prediction of climate disaster vulnerability at the local scale faces challenges such as data gaps and insufficient resolution, which results in a lack of relevant research. This study uses a coupled model of particle swarm optimization (PSO), long short-term memory (LSTM), and graph attention network (GAT) integrating historical data to predict drought- and flood-prone areas in 2035 in Heshun County, Shanxi Province, a typical small-scale inland mountainous region of China. Additionally, the study assesses cropland resilience using the TOPSIS method, and based on the spatial distribution of drought and flood disasters, proposes a Flood-Drought-Resilience Analysis (FDRA) framework, further formulating a site selection strategy for future High Standard Farmland (HSF) projects. The overall findings indicate that: (1) Precipitation (Pr) and the Standardized Precipitation-Evapotranspiration Index (SPEI) have increased in recent years, with Pr expected to continue rising until 2035. (2) The integration of historical data with the predictions from the PSO-LSTM-GAT model reveals significant spatial overlap between historical and future disaster-prone areas and intensive cropland, especially in the central region. (3) Compared to single models, the PSO-LSTM-GAT model demonstrates significantly improved performance and precision in predicting drought- and flood-prone areas. (4) Through the FDRA integrated adjustment mechanism, 6.6668 km² of unsuitable land was identified, and 6.7349 km² of high-quality land was selected as the proposed site for the next round of HSF projects. In the final part of the study, management zoning plans were designed for other areas vulnerable to drought and flood disasters, and specific recommendations for enhancing cropland resilience were provided. This study provides a theoretical basis for enhancing agricultural disaster resilience and sustainable development in localized areas, offering scientific decision-making support for policymakers to address future climate change and disaster risks.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109349"},"PeriodicalIF":5.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An “initial-engineering-end use” quasi-market pricing mechanism under cascading risk for cross-regional water rights trading","authors":"Xuxia Li ,&nbsp;Huimin Wang ,&nbsp;Gang Liu ,&nbsp;Liu Yang ,&nbsp;Zhou Fang ,&nbsp;Yi Xiao ,&nbsp;Xiaoying Lai ,&nbsp;Li Gao ,&nbsp;Ying Teng","doi":"10.1016/j.agwat.2025.109329","DOIUrl":"10.1016/j.agwat.2025.109329","url":null,"abstract":"<div><div>Water rights trading within a market economy has emerged as an effective solution for enhancing water use efficiency and addressing water scarcity. However, the development of a pricing mechanism that accounts for the spatial heterogeneity of water resources remains a critical challenge. This study proposes an “initial-engineering-end use” quasi-market pricing mechanism based on empirical research of cross-regional water rights trading in Pingxiang, Jiangxi, China. The mechanism comprises three stages, each designed to address specific risks. To support these stages, data from field studies is used to calibrate three unique pricing models: the stochastic differential game, incomplete contract theory, and the Nash-bargaining model. We analyze the interactions among equilibrium water prices across these stages to explore the cascade effects. In Pingxiang, the local government has successfully adopted and implemented this mechanism. Empirical results and practical applications reveal several key findings. (1) A comparative analysis of national governance across different countries indicates that the quasi-market pricing mechanism effectively determines end use water prices in China. (2) Initial corporate and government investments mitigate trading risks and enhance stability. (3) Overlooking ecosystem service value leads to the undervaluation of initial and end use water prices. (4) Practical applications of the proposed mechanism in Inner Mongolia, China, and the Murray-Darling Basin, Australia, demonstrate that end use water prices are generally higher in water-scarce regions. Overall, this study provides a practical and adaptable approach for pricing cross-regional water rights trading, applicable to both water-rich and water-scarce regions globally.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109329"},"PeriodicalIF":5.9,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing water-use efficiency under elevated CO₂: A meta-analysis of crop type, soil modulation, and enrichment methods","authors":"Ali Mokhtar ,&nbsp;Hongming He ,&nbsp;Samar Attaher ,&nbsp;Ali Salem ,&nbsp;Muneer Alam","doi":"10.1016/j.agwat.2025.109312","DOIUrl":"10.1016/j.agwat.2025.109312","url":null,"abstract":"<div><div>Elevated CO2 (eCO2) significantly affect the carbon-water cycle in terrestrial ecosystems especially for gas exchange and water use efficiency (WUE). Therefore, in this study, we have conducted a meta-analysis to quantitative statistical means among studies and discuss how WUE responds to eCO₂ under pathway (C₃ and C₄), four enrichment methods and soil types based on 124 peer-reviewed studies and 1474 observations to provide an in-depth overview of how these factors interact under future CO₂ scenarios. Key findings reveal that: (1) C₃ crops, such as potato and tomato, show significantly greater increases in WUE compared to C₄ crops like maize, with effect sizes of 13.96 and 7.02 for plant-level WUE (WUEₚ), suggesting that C₃ crops may be more advantageous in water-limited environments due to reduced photorespiration under eCO₂; (2) soil type substantially modulates WUE responses, with clay soils, due to their high water-holding capacity, demonstrating the highest WUE enhancements (effect sizes of 7.87 for WUEₚ and 12.54 for yield WUE, WUEᵧ), while sandy soils, characterized by rapid drainage, showed limited improvements; and (3) greenhouse and growth chamber studies displayed the highest WUE improvements, while FACE experiments, which better replicate real-world conditions, indicated smaller WUE increases due to environmental variability, underscoring the need for a hybrid approach that merges controlled data with field insights to develop practical, water-efficient agricultural strategies. Collectively, these findings highlight the potential for crop- and soil-specific strategies to optimize WUE under elevated CO₂, offering valuable insights for sustainable agriculture and climate adaptation.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109312"},"PeriodicalIF":5.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The vulnerability of regional agriculture regarding irrigation water from the Tagus-Segura transfer","authors":"José Daniel Buendía Azorín ,&nbsp;Rubén Martínez Alpañez ,&nbsp;María del Mar Sánchez de la Vega","doi":"10.1016/j.agwat.2025.109332","DOIUrl":"10.1016/j.agwat.2025.109332","url":null,"abstract":"<div><div>Input–output tables provide a useful tool for analysing economic and environmental impacts, which has led to their extension beyond the national level to the regional level. The availability of the intermediate demand matrix allows for the extraction of income multipliers and employment multipliers to assess the environmental impacts of different economic activities. This can intuitively be expected to play an important role in economic growth and employment in many regions, and to allow for more precise policy decision-making and application in sustainable development strategies. Despite the relevance of these input-output tables at regional level, there is an almost total absence of official data in most countries. This has led to the development of regionalisation methodologies, among which are those based on the application of location quotients. In these methods, corrections are applied to the obtained variables that depend on the value given to certain unknown parameters. This paper use a proposal of a simple and efficient procedure for estimating these parameters from generally available information on road freight transport and goods imports from the rest of the world. Applying them to estimate the input-output matrix of the Region of Murcia (Spain) made it possible to measure the economic impact of the Tagus-Segura transfer and to assess the impact of a reduction in the volume of transferable water. A hybrid approach was applied to obtain the Bi-Regional Input-Output matrix, which combines pure non-survey methods with matrix-balancing methods. This study quantifies the total contribution (direct, indirect and induced) of the agricultural branches associated with the irrigation water of the Tagus-Segura transfer to the economic output of the Region of Murcia. In addition, it estimates that a 50 % reduction of the current transferable volume of water would reduce regional output, Gross Value Added and regional employment by 1.6 %, 1.5 % and 3.8 %, respectively.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109332"},"PeriodicalIF":5.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Explore the evolution of winter wheat production and its response to climate change under varying precipitation years in the Loess Plateau of China","authors":"Donglin Wang ,&nbsp;Yanbin Li ,&nbsp;Binbin Zhang ,&nbsp;Tengcong Jiang ,&nbsp;Siyu Wu ,&nbsp;Wenjie Wu ,&nbsp;Yi Li ,&nbsp;Jianqiang He ,&nbsp;Deli Liu ,&nbsp;Qinge Dong ,&nbsp;Hao Feng","doi":"10.1016/j.agwat.2025.109335","DOIUrl":"10.1016/j.agwat.2025.109335","url":null,"abstract":"<div><div>Change of the spatio-temporal distribution of precipitation poses a significant impact on agricultural production in rain-fed areas of the Loess Plateau. The adaptation process and mechanism of winter wheat production to annual precipitation pattern remain unclear. To clarify the transformation process of precipitation and the mechanism how it change the crop yield, particularly in the Loess Plateau where precipitation frequently alternates between dry and wet years, this study used the down-scaling global climate model (GCMs) data to simulate and predict the change trend of winter wheat yield from 1961 to 2100 under varying precipitation conditions in two future climate scenarios (SSP245 and SSP585), employing the APSIM model. In this study, parameters of APSIM-Wheat model were refined based on experimental data. Time series analysis showed that the winter wheat yields in the Loess Plateau exhibit periodic fluctuation, with a shorter fluctuation period under the SSP245 scenario compared to the SSP585 scenario, indicating an overall upward trend. Specifically, the average growth rate of winter wheat yield was 147.2 kg ha⁻¹ decade⁻¹ under SSP245 and 194 kg ha⁻¹ decade⁻¹ under SSP585. In addition, climate change could marginally enhance yield stability, albeit with observed regional variations. Notably, potential yield in the water-restricted areas such as Qinghai are significantly influenced by precipitation. The predicted potential yield across three precipitation types showed that wet years exhibited the least fluctuation, while the highest fluctuation were observed in dry years. In particular, the potential winter wheat yield without irrigation in wet years and dry years was 19.84 % higher under SSP245 scenario and 25.22 % higher under SSP585 scenario compared with current conditions. This study provides an important reference for formulating long term adaptation strategies to enhance the resilience of agricultural production against climate change.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109335"},"PeriodicalIF":5.9,"publicationDate":"2025-02-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125113","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can a tiered water price policy improve the technical efficiency of crop irrigation for maize in the Heihe River Basin in Northwest China?","authors":"Guifang Li ,&nbsp;Dongdong Ma","doi":"10.1016/j.agwat.2025.109350","DOIUrl":"10.1016/j.agwat.2025.109350","url":null,"abstract":"<div><div>Agricultural water pricing reform is often considered one of the most effective tools for improving agricultural water use efficiency in China’s arid and semi-arid regions. However, the implementation effect of this policy remains to be studied. On the basis of farmer survey data in 2014 and 2019, this study takes typical irrigation districts in the Heihe River Basin (HRB) in Northwest China as the study area and measures the net effect of a tiered water price policy (TWPP) on the technical efficiency of crop irrigation (TECI) by constructing sub-vector data envelopment analysis (DEA) and difference-in-differences (DID) models. The results reveal that from 2014 to 2019, the average TECI for seed maize and field maize in the Plain Irrigation District (PID) increased by 0.1419 and 0.1242, respectively. Furthermore, compared with nonpilot villages, the implementation of the TWPP can significantly increase the TECI for seed maize and field maize in pilot villages by 16.24 % and 19.70 %, and this positive effect is significant at the 1 % and 5 % levels, respectively. Furthermore, for the pilot villages, the higher the water price borne by farmers is, the lower the TECI, indicating that compared with farmers who bear lower water prices, these farmers have excessive irrigation behaviour. Finally, it also found that compared with nonpilot villages, the TWPP helps seed maize and field maize via saving irrigation water in pilot villages by 27.56 % and 27.74 %, respectively.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109350"},"PeriodicalIF":5.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125322","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of the effect of soil and irrigation water characteristics on the chemical composition and antimicrobial activity of Mentha spicata L. essential oil: A plant used in traditional medicine of Kashan people","authors":"Vajiheh Gandomi Hosnaroodi,&nbsp;Mansureh Ghavam","doi":"10.1016/j.agwat.2025.109331","DOIUrl":"10.1016/j.agwat.2025.109331","url":null,"abstract":"<div><div>Plants containing essential oil may differ in performance and quality of essential oil based on the type of soil and water. <em>Mentha spicata</em> L. is one of the most important essential oil species of the lamiaceae family, which the people of Kashan use as a sedative, to treat flatulence, Intestinal and stomach diseases heartache are traditionally used. The present study was designed and carried out in order to evaluate and compare the composition, yield, and antimicrobial properties of the essential oil of this plant from 5 plain areas of Kashan (Lathor, Meshkat, Taher Abad, Issa Abad, and Fin) with different water and soil characteristics. For plant sampling, in August 2022, three points were randomly selected in each area, and then at each point, stems and leaves were randomly collected from different plants (150–200 plants at each point). After extracting the essential oils by water distillation (Clevenger) and determining the yield, the chemical compounds of the essential oils were identified by a chromatograph coupled with a mass spectrometer. To evaluate the antibacterial activity of the essential oil, the method of determining the diameter of the inhibition halo (IH) and determining the minimum concentration of growth inhibition (MIC) and killing of bacteria (MBC) was used. The analysis of variance showed that the effect of the region on the quantity, quality, and antimicrobial activity of <em>M. spicata</em> essential oil yield was significant (P ≤ 0.01). The highest and lowest yield of <em>M. spicata</em> essential oil belongs to the samples of Fin respectively (3.3 %) and Issa Abad (2.20 %). The highest number of compounds belonged to the essential oil of Lathor region equal to 50 compounds (99.98 %) and the lowest number of compounds related to the sample of Meshkat region was equal to 44 compounds (98.53 %). Based on the results, carvone (55.02–59.72 %) and limonene (18.57–15.31 %) were the first and second dominant compounds of <em>M. spicata</em> essential oil in all regions. The largest diameter of the halo of non-growth of <em>M. spicata</em> essential oil on <em>Staphylococcus epidermidis</em> (mm ∼ 21.50) was from the Issa Abad region, which has relatively good activity compared to the antibiotics. The most potent inhibitory and lethal effect of <em>M. spicata</em> essential oil belonging to the Tahir Abad region was against <em>Candida albicans</em> yeast (MIC and MBC=250 μg/mL), which was one order weaker compared to Nystatin (MIC =125 μg/mL). The selected essential oils may be a promising and potential strategy to achieve higher yields, higher carvene content and a possible natural option as an alternative to antibiotics against some strains.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109331"},"PeriodicalIF":5.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Present and future challenges for hydraulic reliability and energy efficiency in collective irrigation systems: A participatory modelling approach","authors":"Maria do Rosário Cameira ,&nbsp;Antónia Ferreira ,&nbsp;Luis Boteta ,&nbsp;Pedro Santos Fortes ,&nbsp;Maria João Calejo","doi":"10.1016/j.agwat.2025.109355","DOIUrl":"10.1016/j.agwat.2025.109355","url":null,"abstract":"<div><div>The HubIS project, through a participatory approach with stakeholders, identified the need to assess the hydraulic and energy performance of the Lucefecit Collective Irrigation System (LCIS) for co-designed future scenarios. With this aim, a tool was developed integrating on-farm demand driven water transport and distribution with energy use. The tool results from a participatory modelling process based on the SIGOPRAM software parameterized and tested for the LCIS current conditions (2022) using a comprehensive data set. The current scenario, in which only 48 % of the command area is irrigated, is characterized by good hydraulic performance, although pressure surpluses were detected in most outlets. Co-designed scenarios anticipate an increase in the irrigated area and a shift towards more water-intensive crops, which could result in up to a 163 % in the peak demand flow compared to the current situation. Even in the most demanding scenario, only a few irrigation outlets experience pressure deficits, accounting for 10 % of the irrigable area. Collaborative discussions with stakeholders resulted in a trade-off strategy between hydraulic reliability and energy efficiency. The tool provides the water users associations with an important basis for decision-making supported by system performance assessment, to ensure sustainability in water and energy use while taking in account future climate and agricultural changes.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109355"},"PeriodicalIF":5.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125121","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Trophic transfer of arsenic in the food chain from selected crops grown in long-term wastewater contaminated soil","authors":"Mudasra Munir ,&nbsp;Kafeel Ahmad ,&nbsp;Zafar Iqbal Khan ,&nbsp;Shahzad Akhtar ,&nbsp;Muhammad Nadeem ,&nbsp;Asma Ashfaq ,&nbsp;Mohammad Faisal ,&nbsp;Abdulrahman A. Alatar ,&nbsp;Hafiza Mamona Nazir ,&nbsp;Ifra Saleem Malik","doi":"10.1016/j.agwat.2025.109345","DOIUrl":"10.1016/j.agwat.2025.109345","url":null,"abstract":"<div><div>Arsenic (As) contamination is a major health problem that exists worldwide. The accumulation of toxic metals in the surrounding soils of advanced industrial and agricultural sectors has the potential to degrade the ecosystem. All the soil and vegetable samples contaminated with different water sources were collected from three districts, namely, Jhang, Faisalabad and Toba Tek Singh. All samples were digested via the wet digestion method. Water, soil, vegetable, and human blood samples were analyzed to determine the concentration of arsenic via an atomic absorption spectrophotometer. The As content was greater in the soil (0.53–22.311 mg/kg) and vegetable (0.291–1.796 mg/kg) samples collected from Site 3, which were treated with wastewater. The As concentration ranged from 0.02444 to 2.287 mg/L in the blood serum. The potential health risks were evaluated by applying various indices, such as the accumulation factor, single pollution index, enrichment factor, estimated daily intake and target hazard quotient of arsenic. <em>C esculenta</em> presented the highest values for the accumulation factor (0.756) and enrichment factor (3.134). The study revealed a target hazard quotient (THQ) exceeding 2 at several sites, posing potential health risks. Leafy vegetables irrigated with wastewater accumulated arsenic above permissible limits due to soil contamination. However, arsenic contamination can have a direct impact on soil, metal uptake by vegetables and human health. The study highlights that human activities have intensified metal pollution in the area, necessitating immediate cessation of such practices. Environmentally friendly wastewater management methods should be implemented, and regular monitoring of toxic metals in water, soil, and vegetables is crucial to prevent excessive arsenic accumulation.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109345"},"PeriodicalIF":5.9,"publicationDate":"2025-02-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125225","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management","authors":"Liwen Chen ,&nbsp;Boting Hu ,&nbsp;Jingxuan Sun ,&nbsp;Y. Jun Xu ,&nbsp;Guangxin Zhang ,&nbsp;Hongbo Ma ,&nbsp;Jingquan Ren","doi":"10.1016/j.agwat.2025.109353","DOIUrl":"10.1016/j.agwat.2025.109353","url":null,"abstract":"<div><div>Multi-layer soil moisture is an important factor in predicting agricultural droughts and waterlogging, with significant implications for the growth, development, and yield prediction of rain fed crops. However, soil moisture datasets or algorithms fail to simultaneously meet the requirements of multi-layer, high spatiotemporal resolution soil moisture information for large-scale agricultural production areas. To fill this gap, we propose a novel framework for estimation high spatial resolution multi-layer soil moisture data. Firstly, utilizing the Google Earth Engine (GEE) platform and Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), we achieve the fusion of multi-source remote sensing data at large scales to obtain high spatiotemporal resolution Normalized Difference Vegetation Index (NDVI) and Land Surface Temperature (LST) data. Secondly, leveraging the Extreme Gradient Boosting (XGBoost) model along with reanalysis and in-situ measurements, we estimate soil moisture information across depths of 0–100 cm depth by 10 cm interval over large geographical extents. Finally, the accuracy of the soil moisture model is assessed using metrics such as Pearson correlation coefficient, root mean square error (RMSE), unbiased RMSE (ubRMSE), and bias. To assess the applicability of our research methodology, we selected the typical black soil zone in Northeast of China, which is one of the four major black soil regions globally and characterized by intensive agricultural activities. We estimated the long-term time series of soil moisture information during the growing seasons from 2000 to 2020 in this study area. We found that the soil moisture simulation based on the XGBoost model the worst values of R, RMSE, ubRMSE, and Bias values for the training set are 0.86，1.49，1.49 and −0.039 respectively. For the validation set, the worst value of R is 0.83. The proposed methodology in this study enables the acquisition of soil moisture information with both large-scale coverage and high spatiotemporal resolution. This advancement holds significant promise for fine-scale research and applications in agricultural, hydrological, and environmental fields.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"309 ","pages":"Article 109353"},"PeriodicalIF":5.9,"publicationDate":"2025-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143125327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}