Agricultural Water Management最新文献_第2页

Assessing crop water deficiency for regional adaptation to climate change 评估作物缺水状况以促进区域适应气候变化

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-06 DOI: 10.1016/j.agwat.2025.109525

Séverin Yvoz , Martin Lechenet , Philippe Amiotte-Suchet , Thierry Castel , Elisa Betting , Marjorie Ubertosi

{"title":"Assessing crop water deficiency for regional adaptation to climate change","authors":"Séverin Yvoz , Martin Lechenet , Philippe Amiotte-Suchet , Thierry Castel , Elisa Betting , Marjorie Ubertosi","doi":"10.1016/j.agwat.2025.109525","DOIUrl":"10.1016/j.agwat.2025.109525","url":null,"abstract":"<div><div>The increase in crop water stress is one of the most critical effects of climate change and threatens farm production and food security both locally and globally. The adaptation process of the entire food system must be grounded in a local quantitative assessment of future water requirements and the consequences for production losses if those requirements are not met. Thus, we developed a high-resolution crop water requirement model which integrates climate, soil and crop characteristics at a daily timestep. Our prospective study for 2100 (using the RCP8.5 climate scenario) at the regional scale (Bourgogne–Franche–Comté, BFC, in Eastern France) reveals a projected 8 % decrease in average grain production and a 14 % reduction in forage production. However, crop response to climate change vary both spatially and temporally. Summer crops are expected to bear a more marked impact from water stress, with an increase in variability over the years, amplifying the risk for human and animal food security. Other aspects of climate change, such as heat stress, late-spring frost, or an increase in pest pressure, could further impact yields. We emphasize the necessity of addressing climate change adaptation at the regional system level through multi-actor collaboration. Our reproducible approach serves as a rational starting point for designing new strategies based on a combination of adaptive responses at different scales, spanning from the field to the regional scale.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109525"},"PeriodicalIF":5.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907627","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}

引用次数: 0

Impact of irrigation on cropland yield potential and scenario-based optimization in Northeast China 东北灌溉对农田产量潜力的影响及情景优化

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-06 DOI: 10.1016/j.agwat.2025.109522

Jiahui Li , Xinliang Xu , Luo Liu , Xiaojuan Deng , Shihao Wang

{"title":"Impact of irrigation on cropland yield potential and scenario-based optimization in Northeast China","authors":"Jiahui Li , Xinliang Xu , Luo Liu , Xiaojuan Deng , Shihao Wang","doi":"10.1016/j.agwat.2025.109522","DOIUrl":"10.1016/j.agwat.2025.109522","url":null,"abstract":"<div><div>As a key region for national food security, Northeast China (NEC) is under growing pressure to balance agricultural productivity and water availability amid global climate change and rising food demand. These challenges underscore the need for efficient, spatially targeted irrigation strategies to optimize water use and sustain crop production. In this study, we apply the Global Agro-Ecological Zones (GAEZ) model to assess the impacts of climate change and irrigation on yield potential dynamics across NEC from 2000 to 2020. We further conduct multi-scenario analysis to explore the outcomes of increasing irrigated area proportion by 10 %, 30 %, and 50 %, evaluating their effects on yield gap closure and climate change mitigation. Our results show an average annual increase in yield potential of 56.36 kg·ha<sup>−1</sup>·a<sup>−1</sup> across the region. Climate change caused a 1.23 % loss in multi-year total yield potential, with 68.28 % of these losses occurring in rainfed areas, while 80.54 % of yield gains were observed in irrigated areas. Except for rice, which experienced moderate gains (49.31 kg·ha⁻¹ annually), other major crops—particularly maize and soybeans—were negatively affected by climate trends. Irrigation offset nearly 4.81 times the total climate-induced yield losses, although its positive impact has declined over time. Among the scenarios, a 30 % increase in irrigated area proportion demonstrated the greatest potential, particularly for maize. Under this scenario, yield gaps could be closed and climate-induced losses fully compensated in 16.32 % and 17.82 % of NEC croplands, respectively, primarily in the southern Songnen Plain, Liao River Plain and Greater Khingan Mountains Region. These findings provide a scientific basis for optimizing irrigation strategies to ensure food security and promote sustainable water resource management.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109522"},"PeriodicalIF":5.9,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143912955","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}

引用次数: 0

An optimization framework for multi-year planning of land and water allocation 水土配置多年规划优化框架

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-05 DOI: 10.1016/j.agwat.2025.109505

Raphael Linker , Isaya Kisekka

{"title":"An optimization framework for multi-year planning of land and water allocation","authors":"Raphael Linker , Isaya Kisekka","doi":"10.1016/j.agwat.2025.109505","DOIUrl":"10.1016/j.agwat.2025.109505","url":null,"abstract":"<div><div>Multi-year planning of allocation of agricultural land and irrigation water remains a major challenge, which is exacerbated by decreasing arable land and increasing water scarcity in many regions. This paper presents a model-based framework to address this challenge. One of the key elements of the proposed framework is that it takes into account explicitly the need to rotate crops according to some agronomically-based sequences. The framework consists of three nested optimizations: Innermost: Optimize water allocation assuming pre-divided fields and pre-determined crop rotations. Middle: Optimize crop rotation sequences within each field. Outermost: Optimize fields geometry to maximize net income. These computations leverage crop- and soil-specific 'Yield value vs. Irrigation' functions derived from an auxiliary multi-objective optimization problem, namely maximizing yield and minimizing water use. In this manner, all the planning is based on the knowledge contained in complex crop growth models (rather than simplistic models), without having to actually run these models a prohibitively high number of times. The procedure is illustrated on two 67 ha areas near Davis, CA, that altogether contained seven types of soil. Planning was performed for a 10-year planning horizon, assuming seven crops (&fallowing) and six crop rotation patterns were available to choose from. Several scenarios that differed in terms of water availability are presented. The results demonstrate the strong impact that crop rotation requirements have on the overall performance.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109505"},"PeriodicalIF":5.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907623","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}

引用次数: 0

Inversion of citrus SPAD value and leaf water content by combining feature selection and ensemble learning algorithm using UAV remote sensing images 结合特征选择和集成学习算法反演柑橘SPAD值和叶片含水量

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-05 DOI: 10.1016/j.agwat.2025.109524

Quanshan Liu , Fei Chen , Ningbo Cui , Zongjun Wu , Xiuliang Jin , Shidan Zhu , Shouzheng Jiang , Daozhi Gong , Shunsheng Zheng , Lu Zhao , Zhihui Wang

{"title":"Inversion of citrus SPAD value and leaf water content by combining feature selection and ensemble learning algorithm using UAV remote sensing images","authors":"Quanshan Liu , Fei Chen , Ningbo Cui , Zongjun Wu , Xiuliang Jin , Shidan Zhu , Shouzheng Jiang , Daozhi Gong , Shunsheng Zheng , Lu Zhao , Zhihui Wang","doi":"10.1016/j.agwat.2025.109524","DOIUrl":"10.1016/j.agwat.2025.109524","url":null,"abstract":"<div><div>Soil and Plant Analyzer Development (SPAD) value and leaf water content (LWC) are critical physiological parameters for agricultural irrigation and growth monitoring in late-maturing citrus. Accurate monitoring of citrus SPAD value and LWC is of great significance for guiding precision irrigation, improving water use efficiency, and enhancing yield. To rapidly and efficiently obtain the SPAD value and LWC of citrus orchards, this study extracted vegetation index (VI) and texture feature (TF) of late-maturing citrus at different growth stages based on UAV multi-spectral images. Feature variable selection methods (decision tree (DT) and least absolute shrinkage and selection operator (Lasso)) were combined with Support vector machine regression (SVR), AdaBoost (Ada), SVR-AdaBoost (SVR-Ada) and WOA-SVR-Ada. Models for estimating SPAD value and LWC in citrus orchards were constructed using VI, TF, and VI+TF as inputs. The results showed that the DT algorithm demonstrated superior capability in identifying feature variables compared to the Lasso. The integration of VI and TF can enhance the inversion accuracy of citrus SPAD value and LWC models. Compared to the SVR, Ada and SVR-Ada, the WOA-SVR-Ada model, constructed by combining the DT algorithm with VI+TF as inputs (WOA-SVR-Ada<sub>D3</sub>), exhibited the highest estimation accuracy for both SPAD value and LWC. Therefore, combining feature variable selection methods with ensemble learning algorithms, along with the fusion of multi-feature information from UAV multispectral, holds promise for providing precise and robust estimations of SPAD value and LWC for late-maturing citrus in the seasonal drought regions of Southwest China.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109524"},"PeriodicalIF":5.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907625","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}

引用次数: 0

Long-term mulched drip irrigation enhances cotton yield by improving soil quality, microbial community structure, and N conversion 长期膜下滴灌通过改善土壤质量、微生物群落结构和氮转化来提高棉花产量

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-05 DOI: 10.1016/j.agwat.2025.109527

Wenhao Li , Shuanglong Gao , Wenying Qu , Junfeng Li , Tehseen Javed , Shih-Hsin Ho , Zhenhua Wang

{"title":"Long-term mulched drip irrigation enhances cotton yield by improving soil quality, microbial community structure, and N conversion","authors":"Wenhao Li , Shuanglong Gao , Wenying Qu , Junfeng Li , Tehseen Javed , Shih-Hsin Ho , Zhenhua Wang","doi":"10.1016/j.agwat.2025.109527","DOIUrl":"10.1016/j.agwat.2025.109527","url":null,"abstract":"<div><div>Long-term mulched drip irrigation can improve cotton yield, but its effectiveness depends on how long the land has been cultivated, and the mechanisms behind this relationship are not yet fully understood. In this study, the uncultivated wasteland was used as a control to systematically assess how varying lengths of cotton cultivation influence soil physicochemical properties, microbial community dynamics, and nitrogen (N) transformation pathways. The results revealed that: (1) converting wasteland into cotton fields significantly improved soil quality, with survival rate and yield increasing by 10.04 % and 13.60 %, respectively, in fields cultivated for 22 years compared to those cultivated for 8 years; (2) long-term cultivation markedly enhanced microbial diversity and the relative abundance of beneficial taxa associated with crop growth; (3) genes related to fungal glutamate synthesis and ammonification, as well as bacterial nitrogen fixation and nitrification, were significantly upregulated, while those involved in bacterial glutamate synthesis, nitrite reduction, denitrification, and ammonification were downregulated; (4) core microbial taxa exhibited significant positive correlations with nitrogen cycle–related functional genes; (5) fungal diversity showed a strong positive correlation with cotton yield, whereas bacterial diversity did not. In summary, long-term cultivation can regulate microbial community structure by improving soil quality, thereby enhancing cotton yield by promoting fungal-driven nitrogen cycling and suppressing bacterial denitrification.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109527"},"PeriodicalIF":5.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143903586","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}

引用次数: 0

Non-destructive method using UAVs for high-throughput water productivity assessment for winter wheat cultivars 基于无人机的冬小麦品种高通量水分生产力无损评价方法

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-05 DOI: 10.1016/j.agwat.2025.109526

Na Liu , Qingshan Liu , Zimeng Liu , Yang Lu , Zongzheng Yan , Liwei Shao

{"title":"Non-destructive method using UAVs for high-throughput water productivity assessment for winter wheat cultivars","authors":"Na Liu , Qingshan Liu , Zimeng Liu , Yang Lu , Zongzheng Yan , Liwei Shao","doi":"10.1016/j.agwat.2025.109526","DOIUrl":"10.1016/j.agwat.2025.109526","url":null,"abstract":"<div><div>Grain yield or biomass production per unit water consumption is defined as crop water productivity (WP). Using cultivars with high WP is important for reducing the negative influences of water shortages on agricultural production. Common methods for obtaining the WP of different cultivars are time-consuming and required considerable labor input. Developing nondestructive and high-throughput methods is essential for phenotyping cultivars with high WP. Unmanned aerial vehicles (UAVs) capture high spatiotemporal resolution remote sensing data, offering an opportunity to accurately estimate evapotranspiration (ET) and biomass during crop growing seasons to assess WP. In this study, the WP at the main growing stages of 10 winter wheat cultivars was assessed under three irrigation levels based on UAV-derived ET and biomass. Continuous daily ET was estimated by a new method combining the SEBAL (Surface Energy Balance Algorithm for Land) model, crop coefficient (K<sub>c</sub>) and soil water balance equation. Biomass was estimated from multispectral data, and five machine learning algorithms were compared, with random forest selected as the best performer. Using the ET and biomass estimates from the UAV flights, the WP for different growing periods of various winter wheat cultivars was obtained. The WP at the biomass level around the flowering stage was significantly correlated with the WP at the grain yield level for all the cultivars under the three irrigation conditions. Therefore, the WP monitored using UAVs during this period was used to assess the final WP of different cultivars, as biomass accumulation during this stage was critical for final grain production, and the daily ET also peaked at this time. The results from this study showed that UAVs based on non-destructive and high-throughput methods was feasible for assessing the WP of multiple cultivars to save labor and time.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109526"},"PeriodicalIF":5.9,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143907622","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}

引用次数: 0

Water scarcity- and carbon footprints of aquafeed: The case of land-based and ocean-based Atlantic salmon (Salmo salar) farming in Iceland 水资源短缺和水产饲料的碳足迹：冰岛陆地和海洋大西洋鲑鱼养殖的案例

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-04 DOI: 10.1016/j.agwat.2025.109528

Clara M. Vásquez-Mejía , María Gudjónsdóttir , Hildur Inga Sveinsdóttir , Heiðdís Smáradóttir , Guðrún S. Hilmarsdóttir , Alessandro Manzardo , Ólafur Ögmundarson

{"title":"Water scarcity- and carbon footprints of aquafeed: The case of land-based and ocean-based Atlantic salmon (Salmo salar) farming in Iceland","authors":"Clara M. Vásquez-Mejía , María Gudjónsdóttir , Hildur Inga Sveinsdóttir , Heiðdís Smáradóttir , Guðrún S. Hilmarsdóttir , Alessandro Manzardo , Ólafur Ögmundarson","doi":"10.1016/j.agwat.2025.109528","DOIUrl":"10.1016/j.agwat.2025.109528","url":null,"abstract":"<div><div>The water scarcity footprint (WSF), carbon footprint, and blue and green water footprints accounting of the aquafeed used in land-based and ocean-based Atlantic salmon (<em>Salmo salar</em>) farming in Iceland in the year 2021 were assessed through a cradle-to-processor-gate attributional Life Cycle Assessment (LCA) study. The main research questions were: 1) What aquafeed ingredients are environmental hotspots? 2) How does the country of origin of certain aquafeed ingredients affect their environmental performance? 3) Are there any environmental trade-offs between WSF and the carbon footprint of aquafeed ingredients production? All plant ingredients of the aquafeed for salmon farming in Iceland are sourced from abroad, making the sector vulnerable to disruptions within the supply chain, dependent on other countries' natural resources, and responsible for the contributions put on the local water resources of producing countries. The major WSF contributors were maize meal (for land-based salmon farming) and wheat gluten (for ocean-based salmon farming), which were largely sourced from China. Rainwater (green water) is the largest source of irrigation for all plant-based aquafeed ingredients, which could potentially be depriving natural ecosystems of rainwater if land is transformed for agriculture. The carbon footprint of the aquafeed for the land-based and ocean-based salmon farming was largely explained by soybean meal sourced from Brazil, due to the high land-use changes. Future efforts to reduce water use and carbon emissions should be focused on sourcing aquafeed ingredients based on their lowest water and carbon footprints, as well as with national food security aspects in mind.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109528"},"PeriodicalIF":5.9,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143901847","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}

引用次数: 0

Assessing economic and hydrological effects of water-saving irrigation using a coupled SWAT–MODFLOW–AquaCrop model 利用SWAT-MODFLOW-AquaCrop耦合模型评估节水灌溉的经济和水文效应

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-02 DOI: 10.1016/j.agwat.2025.109516

Shiruo Hu, Yueting Ding, Shibo Cui, Yingjia Li, Jianshi Zhao

{"title":"Assessing economic and hydrological effects of water-saving irrigation using a coupled SWAT–MODFLOW–AquaCrop model","authors":"Shiruo Hu, Yueting Ding, Shibo Cui, Yingjia Li, Jianshi Zhao","doi":"10.1016/j.agwat.2025.109516","DOIUrl":"10.1016/j.agwat.2025.109516","url":null,"abstract":"<div><div>Water-saving measures have been adopted worldwide in response to pressures posed by socioeconomic development and climate change. However, assessing the comprehensive economic and hydrological effects of water-saving measures at the irrigation district scale remains challenging because of complicated interactions between large-scale hydrological dynamics and small-scale crop growth processes. To address this challenge, this study presents a coupled hydrological–crop model at the irrigation district scale that integrates the Soil and Water Assessment Tool (SWAT), MODFLOW, and AquaCrop to simulate surface water, groundwater, and crop growth processes. Validation tests demonstrated high accuracy and adaptability of the model. Simulations were conducted in Hedong Irrigation District, Ningxia, under different water-saving scenarios. The results showed that 50 % deficit irrigation reduced rice, maize, and wheat yields by 1.1 %, 17.3 %, and 12.3 %, respectively. Application of additional irrigation measures could enhance crop yields; however, cost–benefit analysis revealed that sprinkler irrigation, land leveling, and drip irrigation were the most cost-effective measured for water-saving percentages < 59 %, from 59–64 %, and > 64 %, respectively. Regarding hydrological effects, planting structure adjustment excelled in mitigating groundwater decline while maintaining high water yield. Other irrigation measures reduced groundwater storage by an average of 3.4 % and water yield by an average of 6.5 % for every 10 % increase in water-saving, below the 70% water-saving threshold. Beyond this threshold, groundwater decline accelerated significantly. These findings provide valuable insights regarding selection of water-saving measures considering both economic and hydrological concerns.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109516"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900090","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}

引用次数: 0

Water constraint mitigation and agricultural productivity: Evidence from the China’s South-to-North Water Diversion Project 水资源约束缓解与农业生产力：来自中国南水北调工程的证据

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-02 DOI: 10.1016/j.agwat.2025.109511

Zehui Wang , Jianhui Xie

{"title":"Water constraint mitigation and agricultural productivity: Evidence from the China’s South-to-North Water Diversion Project","authors":"Zehui Wang , Jianhui Xie","doi":"10.1016/j.agwat.2025.109511","DOIUrl":"10.1016/j.agwat.2025.109511","url":null,"abstract":"<div><div>Water scarcity is a critical constraint on agricultural productivity, particularly in northern China. The South-to-North Water Diversion (SNWD) project, launched in 2014, aims to alleviate this constraint by reallocating water resources across regions. This study evaluates the long-term impact of the SNWD project on regional Agricultural Total Factor Productivity (ATFP) by employing a two-step approach based on Data Envelopment Analysis (DEA) and a Difference-in-Differences (DID) framework. First, we construct a comprehensive efficiency indicator based on DEA methodology to measure ATFP. Second, we exploit the opening of the middle route of the SNWD project as a quasi-natural experiment and estimate its impact on ATFP through a DID model. The results show that the SNWD project has increased the ATFP in the traversed counties by 0.412 (13.55 %). Moreover, the SNWD project has a stronger effect on enhancing ATFP in counties with lower precipitation and non-rice-producing counties, which indicates that the SNWD project can significantly improve ATFP by mitigating water scarcity. Additionally, the SNWD project has a more significant impact on improving ATFP in regions with a higher proportion of grain crops, revealing the crucial role of structural adjustments in enhancing agricultural productivity.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109511"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143900091","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}

引用次数: 0

Evaluation of DRAINMOD for simulating phosphorus and nitrogen loss from a subsurface drained field in northcentral Ohio, USA 美国俄亥俄州中北部地下排水油田模拟磷氮损失的评价

IF 5.9 1区农林科学

Agricultural Water Management Pub Date : 2025-05-02 DOI: 10.1016/j.agwat.2025.109489

Manal H. Askar , Mohamed A. Youssef , Kevin W. King , Vinayak S. Shedekar

{"title":"Evaluation of DRAINMOD for simulating phosphorus and nitrogen loss from a subsurface drained field in northcentral Ohio, USA","authors":"Manal H. Askar , Mohamed A. Youssef , Kevin W. King , Vinayak S. Shedekar","doi":"10.1016/j.agwat.2025.109489","DOIUrl":"10.1016/j.agwat.2025.109489","url":null,"abstract":"<div><div>A recent version of the widely used water management model, DRAINMOD, was developed for simulating phosphorus (P) dynamics and transport in artificially drained agricultural land. This model version is fully integrated with the earlier nitrogen (N) version of DRAINMOD, which makes it ideal for simultaneously simulating both P and N dynamics in drained croplands as affected by weather, soil, crop, and drainage related factors. The primary objective of this study was to test the newly developed P component of the model and the secondary objective was to assess the model’s capability of simultaneously simulating both N and P dynamics in drained cropland. Measured data (2017–2020) from an artificially drained agricultural field in northcentral Ohio was used to parameterize, calibrate, and evaluate simulated subsurface drainage discharge as well as losses of nitrate (NO<sub>3</sub><sup>-</sup>-N), dissolved reactive P (DRP), and total P (TP) via drainage water. The overall model performance was characterized as “good” for simulated monthly discharge (Nash-Sutcliffe Efficiency (NSE) of 0.75), NO<sub>3</sub><sup>-</sup>-N load (NSE of 0.63), and DRP load (NSE of 0.63) through subsurface discharge. However, the model performance was poor in simulating monthly TP load via subsurface discharge (NSE = 0.00), resulting in an overall underprediction of about 19 %. These findings illustrate that DRAINMOD can reasonably simulate subsurface discharge and associated soluble nutrients. However, model improvements are required to simulate sediment-bound P transport. Additionally, further validation of the model’s P component across a range of soils, drainage characteristics, and climates are needed and would advance the model’s utility.</div></div>","PeriodicalId":7634,"journal":{"name":"Agricultural Water Management","volume":"314 ","pages":"Article 109489"},"PeriodicalIF":5.9,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143895710","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}

引用次数: 0