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Concurrent Response of Soybean to Fixed- (Full and Limited) and Variable-Rate Irrigation Management in Three Soil Types: I. Soil Water Dynamics 三种土壤类型下大豆对固定(完全和有限)和可变速率灌溉管理的同步响应
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-05-13 DOI: 10.1002/ird.3124
S. Irmak, T. A. Hinn, M. S. Kukal, A. T. Mohammed

This research investigated soybean soil water dynamics under different irrigation levels in three different soil types in the same field concurrently. Treatments imposed in each soil type were: (i) variable-rate irrigation (VRI), (ii) fixed-rate full irrigation (FRI-1″ or FRI-25.4 mm) and (iii) fixed-rate limited irrigation (FRI-0.75″ or FRI-19 mm). In 2018, VRI received 75% less water than FRI-1″ and received 49% less water than FRI-0.75″. In 2019, VRI received 100% more irrigation than FRI-1″ and 41% less than FRI-0.75″. Soil water dynamics of each treatment in the same soil and between the soils exhibited substantial interannual variations. Soil type had substantial and greater impact on soil moisture dynamics than irrigation treatments. Total available water (TAW), dry spell and antecedent soil moisture were impacted to a greater extent by the spatial soil properties than irrigation treatments. The range of field capacity (FC), permanent wilting point (PWP), TAW, dry spell soil moisture and antecedent soil moisture quantified for each soil type spatially and temporally in the same research field with respect to soil moisture dynamics and impacts on irrigation requirements for different irrigation management strategies provide a beneficial scope of understanding the effects of these spatially variable soil properties on water management. The research also provides substantial evidence in terms of the critical importance of detailed quantification, analyses and understanding of the soil properties that must be considered for successful implementation of VRI technology.

研究了同一农田3种不同土壤类型不同灌溉水平下大豆土壤水分动态。每种土壤类型的处理分别为:(i)变速率灌溉(VRI), (ii)固定速率完全灌溉(ri -1″或ri -25.4 mm)和(iii)固定速率有限灌溉(ri -0.75″或ri -19 mm)。2018年,VRI的水量比ri -1少75%″,比ri -0.75少49%″。2019年,VRI获得的灌溉比ri -1″多100%,比ri -0.75″少41%。不同处理的土壤水分动态在同一土壤和不同土壤间表现出明显的年际变化。土壤类型对土壤水分动态的影响大于灌溉处理。土壤空间性质对土壤总有效水分(TAW)、干旱期和前期土壤水分的影响大于灌溉处理。在同一研究领域,对不同土壤类型的田间容量(FC)、永久凋萎点(PWP)、TAW、干旱期土壤水分和前期土壤水分进行时空量化,分析土壤水分动态和不同灌溉管理策略对灌溉需求的影响,为理解这些空间变量土壤特性对水管理的影响提供了有益的范围。该研究还提供了大量证据,证明了详细量化、分析和理解土壤特性的重要性,这是成功实施VRI技术必须考虑的因素。
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引用次数: 0
Concurrent Response of Soybean to Fixed (Full and Limited) and Variable Rate Irrigation Management in Three Soil Types: II. Growth, Yield, Evapotranspiration and Water Productivity 3种土壤类型大豆对固定(完全和有限)和可变速率灌溉管理的同步响应生长、产量、蒸散和水分生产力
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-05-11 DOI: 10.1002/ird.3121
S. Irmak, T. A. Hinn

Soybean growth, yield, crop evapotranspiration (ETc) and crop water use efficiency (CWUE or crop water productivity, CWP) under different irrigation levels in three different soil types in the same field were investigated concurrently. Treatments in each soil type were: (i) variable rate irrigation (VRI), (ii) fixed rate full irrigation (FR-1″) and (iii) fixed rate limited irrigation (FR-0.75″). There was not enough evidence suggesting the superiority of VRI over FRI-1″ or FRI-0.75″ in terms of improving yield or CWUE. Leaf area index (LAI) and plant height were stronger functions of soil types than irrigation treatments. Growing season cumulative grass-reference evapotranspiration (ETo) and cumulative precipitation were 629 and 489 mm, respectively, in 2018; and 589 and 551 mm, respectively, in 2019. Variations in yield among irrigation treatments for both seasons were not significant (p > 0.05). Soil type, rather than irrigation treatments, explained variation in yield with statistical significance (p < 0.05). Soil types had substantial impact on ETc and CWUE. Since spatial variability in soil properties has a profound impact on soybean growth, yield, ETc and CWUE, soil variability in horizontal and vertical domain must be considered for developing accurate management zones and prescriptions for VRI, and for in-season VRI, FRI and limited irrigation management for successful and effective operations.

同时研究了同一农田3种不同土壤类型下不同灌溉水平下大豆的生长、产量、作物蒸散(ETc)和作物水分利用效率(CWUE或作物水分生产力,CWP)。每种土壤类型的处理为:(i)变速率灌溉(VRI), (ii)固定速率全灌(FR-1″)和(iii)固定速率限灌(FR-0.75″)。没有足够的证据表明VRI在提高产量或CWUE方面优于fr -1″或fr -0.75″。叶面积指数(LAI)和株高对土壤类型的作用强于灌溉处理。2018年生长季累积牧草参考蒸散量(ETo)和累积降水量分别为629和489 mm;2019年分别为589毫米和551毫米。两季灌水处理间产量差异不显著(p > 0.05)。土壤类型,而不是灌溉处理,解释了产量的变化具有统计学意义(p < 0.05)。土壤类型对ETc和CWUE有显著影响。由于土壤性质的空间变异对大豆的生长、产量等和CWUE有深远的影响,因此必须考虑水平和垂直领域的土壤变异,以制定准确的VRI管理区域和处方,并进行季节性VRI、FRI和有限灌溉管理,以成功有效地运行。
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引用次数: 0
Numerical Simulation of Solid–Liquid Two-Phase Flow Analysis of Submersible Drainage Pumps 潜水泵固液两相流数值模拟分析
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-05-05 DOI: 10.1002/ird.3119
Md Rakibuzzaman, Md. Didarul Islam, Hyoung-Ho Kim, Sang-Ho Suh, Ling Zhou, A. K. M. Parvez Iqbal

Submersible drainage pumps are widely used in various applications, including irrigation and drainage, municipal wastewater projects, and sewage pumping. These pumps are suitable for handling mixtures consisting of solid–liquid components and have sophisticated two-phase flow characteristics and wear mechanisms. Therefore, the operational stability of submersible pumps is essential when transporting solid–liquid mixtures. This work aims to optimize existing pumps and enhance hydraulic performance via the computational fluid dynamics (CFD) software ANSYS-CFX. The test pump performance data were compared with the computational data to validate the pump model. The study revealed that altering the shape of the impeller hydraulic performance could improve by 4%, significantly reducing the erosion wear effects. Additionally, optimizing the casing shape could increase the efficiency by 4–5%, although practical implementation is challenging and improves the anti-wear erosion effects. The effects of the particle concentration and particle size were investigated and discussed under different operating conditions for various shape change models. The erosion rate increased with increasing particle concentration at both the leading and trailing edge of the impeller blades. Altering the pump's impeller can minimize the average erosion rate by at least 20%. The revised model significantly reduced erosion wear on the impeller blades.

潜水泵广泛应用于各种场合,包括灌溉排水、市政污水工程、污水泵送等。这些泵适用于处理由固液成分组成的混合物,具有复杂的两相流动特性和磨损机制。因此,在输送固液混合物时,潜水泵的运行稳定性至关重要。这项工作旨在通过计算流体动力学(CFD)软件ANSYS-CFX优化现有泵并提高水力性能。将试验泵性能数据与计算数据进行对比,验证了泵模型的正确性。研究表明,改变叶轮形状可使水力性能提高4%,显著降低冲蚀磨损效应。此外,优化套管形状可以提高4-5%的效率,尽管实际实施具有挑战性,并且可以改善抗磨损侵蚀效果。针对不同的形状变化模型,研究了不同操作条件下颗粒浓度和粒度对形状变化的影响。随着颗粒浓度的增加,叶轮前后缘的冲蚀速率均有所增加。改变泵的叶轮可以将平均侵蚀率降低至少20%。修正后的模型显著降低了叶轮叶片的冲蚀磨损。
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引用次数: 0
Boosting the Water Productivity of Dry-Season Crops in Eastern India: A Field-Based Study in Diverse Agro-Climatic Regions 提高印度东部旱季作物水分生产力:不同农业气候区域的实地研究
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-05-03 DOI: 10.1002/ird.3116
Smaranika Mahapatra, Mohammad Faiz Alam, Archisman Mitra, Alok Sikka, Pranab Kumar Nandy, Lipika Talukdar, Susri Barnana Behera, A. K. Nayak, Sanjay Kumar Chetia, Prasannajit Mishra, Sekhar Udaya Nagothu, Mehreteab Tesfai

Increasing water productivity and mitigating the impacts of climate shocks is central to achieving food and water security. This study employed a household survey and farmer field experiments in four districts of Odisha and Assam states in Eastern India to understand and build farmers agricultural resilience. Household survey of 1627 farmers showed that ‘access to irrigation’, ‘system rice intensification (SRI)’, and ‘better seeds and biofertilizers’ significantly reduce farmers' vulnerability to poverty. However, the adoption of efficient irrigation practices, critical for building agricultural resilience, remains low. To increase awareness and adoption through demonstration of benefits, farmer field experiments were conducted for efficient irrigation interventions, including soil moisture sensor-based (SMS) irrigation, drip, and sprinkler for non-paddy crops, and alternate wetting and drying (AWD) and SRI for paddy. The interventions led to 8–69% water savings, 2–220%, 15–600%, and 34–346% increases in crop yield, irrigation (IWP), and economic water productivity (EWP), respectively, with drip irrigation showing greatest increase, followed by sprinkler and SMS. The AWD and SRI interventions showed 26–59% water savings, 2–131%, 40–600%, and 39–550% increases in yield, IWP, and EWP, respectively. Results show that if implemented in existing irrigated vegetable areas, these interventions could reduce fallow lands by 4–60% in both states.

提高水生产力和减轻气候冲击的影响是实现粮食和水安全的核心。本研究在印度东部奥里萨邦和阿萨姆邦的四个地区进行了家庭调查和农民田间试验,以了解和建立农民的农业恢复力。对1627名农民的家庭调查显示,“获得灌溉”、“水稻系统集约化”和“更好的种子和生物肥料”显著降低了农民的贫困脆弱性。然而,对建设农业抗灾能力至关重要的高效灌溉做法的采用情况仍然很低。为了通过展示效益来提高农民的认识和采用,对有效的灌溉干预措施进行了农民田间试验,包括基于土壤水分传感器(SMS)的灌溉、滴灌和喷灌,以及水稻的干湿交替(AWD)和SRI。干预措施在作物产量、灌溉(IWP)和经济水分生产力(EWP)方面分别节水8-69%、2-220%、15-600%和34-346%,其中滴灌增产幅度最大,其次是喷灌和SMS。AWD和SRI干预分别节水26-59%,增产2-131%,增产40-600%,增产39-550%。结果表明,如果在现有的灌溉蔬菜区实施这些干预措施,这两个州的休耕土地可以减少4-60%。
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引用次数: 0
Characterization and Prediction of Wind Drift and Evaporation Loss in Low-Pressure Sprinkler Fertigation Under Multivariate Meteorological Conditions 多元气象条件下低压喷淋施肥风漂和蒸发损失特征及预测
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-05-03 DOI: 10.1002/ird.3115
Wentao Wang, Xin Hui, Jingjing Wang, Haohui Zhang, Ling Zhu, Haijun Yan

Wind drift and evaporation loss (WDEL) significantly affect the performance of low-pressure sprinkler irrigation systems. However, research on its characteristics and prediction under integrated water-fertilizer management remains limited. This study evaluated WDEL variability under diverse meteorological conditions in a low-pressure sprinkler fertigation system. The effects of operating pressure, fertilizer concentration and meteorological factors on fertigation uniformity and accuracy were investigated, with a focus on losses of fertilizer solution (WDELF), water (WDELW) and urea fertilizer (WDELU). Four machine learning models (multiple linear regression [MLR]; random forest [RF]; support vector regression [SVR]; artificial neural network [ANN]) were compared. The results revealed that WDEL reduced the uniformity coefficient (CU) of the sprinkler by up to 59% under an average wind speed (WSavg) of 5.5 m s−1 and a vapour pressure deficit (VPD) of 2.20 kPa. VPD impacted WDELF and WDELW (p < 0.01), whereas WS had the most substantial effect on WDELU (p < 0.01). SVR achieved the highest determination coefficient (R2 = 0.792) for predicting WDELF, whereas ANN outperformed other methods for WDELW and WDELU, with R2 values of 0.711 and 0.854, respectively. These results provide theoretical support for mitigating WDEL risks and improving water–fertilizer utilization efficiency under low-pressure sprinkler fertigation.

风漂移和蒸发损失(WDEL)对低压喷灌系统的性能有显著影响。然而,对水肥综合管理下其特性及预测的研究还很有限。本研究评估了不同气象条件下低压洒水施肥系统WDEL的变率。研究了操作压力、肥料浓度和气象因素对施肥均匀性和准确性的影响,重点研究了肥料溶液(WDELF)、水分(WDELW)和尿素肥料(WDELU)的损失。比较了多元线性回归(MLR)、随机森林(RF)、支持向量回归(SVR)、人工神经网络(ANN)四种机器学习模型。结果表明,在平均风速(WSavg)为5.5 m s−1,蒸汽压差(VPD)为2.20 kPa时,WDEL可使喷头均匀性系数(CU)降低59%。VPD影响WDELF和WDELW (p < 0.01),而WS对WDELU的影响最为显著(p < 0.01)。SVR预测WDELF的决定系数最高(R2 = 0.792),而ANN预测WDELW和WDELU的决定系数分别为0.711和0.854,优于其他方法。研究结果为降低水旱耗水风险、提高水肥利用效率提供了理论支持。
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引用次数: 0
Modelling the Impact of Drained and Undrained Conditions on GHG Emissions in Croplands: A Case Study in Lincolnshire, UK 排水和不排水条件对农田温室气体排放影响的模拟:以英国林肯郡为例
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-05-02 DOI: 10.1002/ird.3120
Talha Özçelik, Matthias Kuhnert

Agricultural drainage plays a crucial role in land management and crop productivity but significantly impacts greenhouse gas (GHG) emissions. This study examines the effects of drained and undrained soil conditions on GHG emissions in croplands via a case study in Lincolnshire, United Kingdom. The ECOSSE (Estimating Carbon in Organic Soils – Sequestration and Emissions) model was employed to simulate carbon and nitrogen fluxes under varying water table depths and management scenarios. The results indicate that drained soils exhibit lower methane (CH4) emissions due to increased aeration but higher carbon dioxide (CO2) and nitrous oxide (N2O) emissions due to enhanced microbial activity and organic matter decomposition. Conversely, undrained soils show reduced CO2 and N2O emissions but significantly higher CH4 emissions under anaerobic conditions. Seasonal variations were evident, with peak emissions occurring in late spring and early summer. These findings emphasize the need for balanced drainage strategies, such as controlled water table management, to mitigate GHG emissions while maintaining agricultural productivity. This study provides valuable insights for policymakers and land managers seeking sustainable land-use practices that align with climate change mitigation goals.

农业排水在土地管理和作物生产中起着至关重要的作用,但对温室气体(GHG)排放有显著影响。本研究通过英国林肯郡的一个案例研究,考察了排水和不排水土壤条件对农田温室气体排放的影响。采用ECOSSE(估算有机土壤碳-固存和排放)模型模拟了不同地下水位和不同管理方案下的碳氮通量。结果表明,排水土壤由于通气增加,甲烷(CH4)排放量减少,但由于微生物活性和有机物分解增强,二氧化碳(CO2)和氧化亚氮(N2O)排放量增加。相反,在厌氧条件下,不排水土壤的CO2和N2O排放量减少,但CH4排放量显著增加。季节变化明显,排放峰值出现在春末夏初。这些发现强调了平衡排水策略的必要性,如控制地下水位管理,以减少温室气体排放,同时保持农业生产力。这项研究为寻求符合减缓气候变化目标的可持续土地利用做法的政策制定者和土地管理者提供了宝贵的见解。
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引用次数: 0
Potential of Photovoltaic and Diesel Off-Grid Systems for Irrigation in Brazil Considering Carbon Credits 考虑碳信用额的巴西光伏和柴油离网灌溉系统的潜力
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-04-30 DOI: 10.1002/ird.3112
Giovana Franco Valadão, Natalia dos Santos Renato, Camile Arêdes Moraes, Caroline Piccoli Miranda de Freitas, Catariny Cabral Aleman, Fernando França da Cunha

Irrigation is a crucial practice for the security of rural businesses, ensuring agricultural production even in periods without rainfall. This work aimed to analyse the financial viability of an off-grid photovoltaic (PV) system as an alternative to traditional energy sources for pumping irrigation in Brazilian agricultural areas. The sources of photovoltaic solar energy and diesel were compared in terms of their supply of energy to drip irrigation systems designed for various perennial agricultural crops. The use of a decision tree approach enabled the prediction of the viability of the studied options. Among the analysed crops, banana had the highest viability for the use of photovoltaic systems. In the case without carbon sales, in 76% of the unrestricted area, the banana crop was economically more attractive, whereas this value was only 41% for the orange area. In terms of carbon sales, these values were 91% and 68%, considerably increasing the area with potential use of the photovoltaic system. A classification system using decision trees was created. The results obtained indicate that the off-grid system is viable for a large part of the national territory and that the percentage of viable areas increases notably when the sale of carbon credits is considered.

灌溉对农村企业的安全至关重要,即使在没有降雨的时期也能确保农业生产。这项工作旨在分析离网光伏(PV)系统作为巴西农业地区抽水灌溉传统能源的替代方案的财务可行性。比较了光伏太阳能和柴油对多种多年生作物滴灌系统的供能情况。决策树方法的使用能够预测所研究选项的可行性。在分析的作物中,香蕉使用光伏系统的可行性最高。在没有碳销售的情况下,在76%的不受限制的地区,香蕉作物在经济上更具吸引力,而在橙色地区,这一价值仅为41%。就碳销售而言,这两个值分别为91%和68%,大大增加了光伏系统的潜在使用面积。建立了一个基于决策树的分类系统。结果表明,离网系统在全国大部分地区是可行的,考虑到碳信用额的销售,可行地区的比例显著增加。
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引用次数: 0
Soil Matrix Infiltration Measurement and Modelling Across Diverse Land Uses With Machine Learning 基于机器学习的不同土地利用土壤基质入渗测量与建模
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-04-29 DOI: 10.1002/ird.3118
Tatung Taka Sikar, Pankaj Kumar Pandey, Vanita Pandey, Vanlal Nunchhani

Evaluating soil matrix infiltration is essential for understanding water dynamics, runoff and groundwater recharge. Experiments using a double-ring infiltrometer with and without fine sand were conducted in forestland, tea gardens and paddy fields. A methylene blue tracer helped analyse soil profiles to detect macropores. Fine sand effectively blocked macropores in forestland and tea gardens but was absent in paddy fields, likely due to annual puddling, high moisture, clay content and bulk density. The basic infiltration rate (BI) remained consistent across land types, whereas accumulated infiltration depth (AI) was influenced by fine sand, except in paddy fields. Data collection was labour intensive, leading to regression models predicting infiltration based on soil properties. Three machine learning techniques (partial least squares regression [PLSR], the group method of data handling [GMDH] and random forest [RF]) were evaluated via the coefficient of determination (R2) and root mean square error (RMSE) metrics. Model 2 of PLSR performed best for forestland (R2: 0.933, RMSE: 0.908 cm) and tea gardens (R2: 0.838, RMSE: 1.156 cm), whereas Model 1 of PLSR was optimal for paddy fields (R2: 0.780, RMSE: 0.370 cm). GMDH yielded the best overall results, with RF ranking third but remaining useful.

评估土壤基质入渗对理解水动力学、径流和地下水补给至关重要。在林地、茶园和水田进行了带细沙和不带细沙的双环渗透计试验。亚甲基蓝示踪剂有助于分析土壤剖面以检测大孔隙。细砂在林地和茶园中对大孔隙有有效的阻隔作用,而在水田中则没有作用,这可能是由于常年水坑、高含水量、高粘粒含量和高容重所致。基本入渗速率(BI)在不同土地类型中保持一致,而累积入渗深度(AI)除水田外,均受细砂的影响。数据收集是劳动密集型的,导致基于土壤特性预测入渗的回归模型。通过决定系数(R2)和均方根误差(RMSE)指标对三种机器学习技术(偏最小二乘回归[PLSR]、数据处理分组方法[GMDH]和随机森林[RF])进行评估。模型2最适合林地(R2: 0.933, RMSE: 0.908 cm)和茶园(R2: 0.838, RMSE: 1.156 cm),模型1最适合水田(R2: 0.780, RMSE: 0.370 cm)。GMDH产生了最好的总体结果,RF排名第三,但仍然有用。
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引用次数: 0
Economic Footprint of Alberta's Irrigation Districts: An Economic Impact Analysis 艾伯塔省灌区的经济足迹:经济影响分析
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-04-24 DOI: 10.1002/ird.3114
Surendra N. Kulshreshtha, Brent Paterson, Roger Hohm

Irrigation development can be an effective economic force for agricultural production, regional development and urban and rural community development. This study estimated the societal economic footprint of the Irrigation Districts on the economy in Alberta, Canada, via a variety of economic impact analysis models. The analysis indicates that producers, agricultural and non-agricultural industries and communities benefit (either directly or indirectly) from irrigation development and related activities. These impacts result from the direct use of irrigation water for crop and livestock production, whereas other impacts are related to irrigation infrastructure (reservoirs and canals) that provides water for municipalities, food processing industries, recreation and wildlife habitat development. Irrigation Districts' direct annual contribution to Alberta's agri-food gross domestic product (GDP), a traditional measure of economic growth, was about $1 billion. This contribution increased, through indirect and induced impacts, to $5.4 billion for the provincial GDP—about 5 times greater than the direct contribution. About 81% of the GDP generated by the Irrigation Districts accrued to the province, and about 19% to the irrigation producers. This study revealed that irrigation development is a beneficial economic strategy for the province, irrigation producers, food processing industries and sustainable community development. This study also demonstrated that economically successful irrigation projects should develop linkages between irrigation producers and regional food processing industries.

灌溉发展可以成为农业生产、区域发展和城乡社区发展的有效经济力量。本研究通过各种经济影响分析模型,估算了加拿大艾伯塔省灌区对经济的社会经济足迹。分析表明,生产者、农业和非农业工业以及社区(直接或间接)从灌溉发展和有关活动中受益。这些影响是由于作物和牲畜生产直接使用灌溉水造成的,而其他影响则与灌溉基础设施(水库和运河)有关,这些基础设施为市政当局、食品加工业、娱乐和野生动物栖息地开发提供水。灌溉区每年对艾伯塔省农业食品国内生产总值(GDP)的直接贡献约为10亿美元,GDP是衡量经济增长的传统指标。通过间接和诱导的影响,这一贡献为该省gdp增加了54亿美元——大约是直接贡献的5倍。灌区创造的GDP中,约81%归该省所有,约19%归灌溉生产者所有。研究结果表明,发展灌溉是有利于我省、灌溉生产者、食品加工业和社区可持续发展的经济战略。这项研究还表明,经济上成功的灌溉项目应在灌溉生产者和区域食品加工业之间建立联系。
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引用次数: 0
Assessment of the Water Productivity of Winter Wheat at Multiple Scales in Well Canal Irrigation Areas of the North China Plain 华北平原井渠灌区冬小麦多尺度水分生产力评价
IF 1.7 4区 农林科学 Q2 AGRONOMY Pub Date : 2025-04-23 DOI: 10.1002/ird.3111
Yi Liu, Haorui Chen, Xiaoyan Guan, Liang Wei, Zhijun Jia, Huailiang Wang, Aixi Gong, Ziang Xie, Wenzhi Zeng

Water productivity (WP) reflects crop yield per unit of water input, but its assessment varies with scale due to differing water inputs and reuse patterns. This study investigates the scale dependency of the WP in the Shijin Irrigation District, the largest well–canal irrigation area in the North China Plain, by defining five scales: crop, field, subbranch canal, main canal and irrigation district. Using the HYDRUS-1D and MODFLOW models, which were employed to simulate water movement in both the unsaturated and saturated zones, considering factors such as soil moisture, groundwater levels and water losses, water budgets were calculated at each scale, and three WP indicators—net inflow WP, irrigation–precipitation WP and net irrigation–precipitation WP—were evaluated. The results show that nearly 93% of outflows are reused or retained at larger scales, increasing the net inflow WP by 25%. However, expanded water loss pathways at larger scales increase irrigation demands, causing the irrigation–precipitation WP to decrease from 1.42 kg m−3 at the crop scale to 1.19 kg m−3 at the irrigation district scale. The net irrigation–precipitation WP improves by 29%–54% across scales because of reduced return flows. Despite increased canal losses, net irrigation WP remains unchanged across scales, as these losses are fully deducted as return flows. These findings highlight the significant impact of scale on WP assessment and the importance of considering water reuse and loss pathways in irrigation planning.

水分生产力(WP)反映了作物单位水投入的产量,但由于不同的水投入和再利用模式,其评估结果因规模而异。本文以华北平原最大的井渠灌区石津灌区为研究对象,定义了作物、农田、支渠、主渠和灌区5个尺度,探讨了该区土壤水分的尺度依赖性。利用模拟非饱和带和饱和带水分运动的HYDRUS-1D和MODFLOW模型,考虑土壤湿度、地下水位和水分损失等因素,计算各尺度下的水分收支,并对净流入WP、灌溉-降水WP和净灌溉-降水WP 3个WP指标进行评价。结果表明,近93%的流出量在更大范围内被再利用或保留,净流入WP提高了25%。然而,在更大尺度上,扩大的失水途径增加了灌溉需求,导致灌溉降水WP从作物尺度上的1.42 kg m−3下降到灌区尺度上的1.19 kg m−3。由于回流减少,灌溉-降水净WP在各个尺度上提高了29%-54%。尽管渠道损失增加,但净灌溉WP在各个尺度上保持不变,因为这些损失被完全扣除为回流。这些发现强调了尺度对WP评估的重要影响,以及在灌溉规划中考虑水的再利用和损失途径的重要性。
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Irrigation and Drainage
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