首页期刊导航|Agricultural Water Management
期刊信息/Journal information
Agricultural Water Management
Elsevier
Agricultural Water Management

Elsevier

0378-3774

Agricultural Water Management/Journal Agricultural Water ManagementSCIISTPEI
正式出版
收录年代

    Coupling of a subsurface drainage model with a soil reservoir model to simulate drainage discharge and drain flow start

    Chaumont C.Chelil S.Tournebize J.Lauvernet C....
    13页
    查看更多>>摘要：? 2021 Elsevier B.V.The environmental impact of subsurface drainage and agricultural activities has been widely studied in the literature. Agricultural subsurface drainage modifies the hydrological behavior and accelerates the transfer of pollutants of agricultural origin into surface water during the drain flow period, which is often limited to winter. The main objective of this study is to present a modeling approach allowing an accurate modeling of subsurface drainage discharge and prediction of drain flow start times, by integrating a new conceptual soil reservoir, managing the water flow in the unsaturated zone, to the SIDRA model. A comparison of the model results with field measurements of drainage discharge at the “La Jaillière” site (France) shows that such a model can efficiently simulate drainage discharge (KGE values >0.75) and predict, with good accuracy, the drain flow start time (with a median value of 5 days and a standard deviation of 10 days). The split simple test conducted for the model calibration and validation shows that the model is temporally robust. A sensitivity analysis conducted using the Sobol method on the five model parameters reveals that the drainage discharge simulation is mainly sensitive to the hydraulic conductivity and drainable porosity parameters. On the other hand, the date delimiting drain flow start is sensitive to the soil reservoir parameters. The model's ability to accurately predict the start of drain flow serves to avoid the application of farm inputs (pesticides or fertilizers) during this critical period in order to limit their transfer to surface waters.
      原文链接:
    • NSTL
    • Elsevier

    High-resolution propagation time from meteorological to agricultural drought at multiple levels and spatiotemporal scales

    Li Y.Huang S.Wang H.Zheng X....
    14页
    查看更多>>摘要：? 2021 Elsevier B.V.Meteorological drought (MD) is the source of agricultural drought (AD), and in-depth understanding of the propagation process from MD to AD can help AD early warning. However, previous studies primarily focused on average state of propagation time (PT) rather than from the perspective of various drought levels, and had coarse spatiotemporal resolutions (monthly and basin scales), and also ignored the PT during critical stages of crop water demand. To fill the knowledge gap, this study used the standardized precipitation index (SPI) and standardized soil moisture index (SSMI) to characterize MD and AD. Then, a framework for high-resolution PT identification under different drought levels based on Copula theory and conditional probability was proposed. Taking the rain-fed agricultural region of Loess Plateau (RFLP) as an example, the PT of the critical stages of water demand for local crops (spring maize, winter wheat) was calculated respectively. Result showed that: (1) PT in summer and autumn is shorter than those in winter and spring, and the higher drought level, the faster the spreading rate, in which the PT in spring, summer, autumn, and winter under extreme MD conditions were 3–15, 1–6, 1–8 and 4–16 ten days, respectively; (2) it should be noted that the central part of RFLP is a hotspot, with a shorter PT than any surrounding area; (3) PT is mainly related to local water and heat characteristics, and high potential evapotranspiration tends to accelerate the propagation process, while sufficient soil moisture has a good buffering effect on MD and can slow down the propagation; (4) it was observed that PT in the jointing-heading stage of wheat was significantly shortened, which should be of great concern to the local agricultural authorities. In general, this study sheds new insights into high spatiotemporal resolution drought propagation, which is helpful for AD risk management.
      原文链接:
    • NSTL
    • Elsevier

    Soil phosphorus loss increases under drought-flood abrupt alternation in summer maize planting area

    Bi W.Weng B.Yan D.Wang M....
    12页
    查看更多>>摘要：? 2021 Elsevier B.V.Phosphorus (P), critical nutrient for plant growth and environment, has been greatly concerned. Abundant studies have been focused on soil P loss, while only sparse studies have concerned on soil P loss under extreme hydrological events, even less on drought-flood abrupt alternation (DFAA). This study explored the P migration in summer maize farmland systems based on field experiments, further obtained the proportion of soil P loss. We also simulated the soil P loss to DFAA in summer maize planting area in the Northern Anhui Plain based on history, future, and hypothetical natural (assuming no DFAA events) scenarios. The field experiments revealed that DFAA events reduced plant P storage by 47.7% than that in the natural control systems (CS). The mean proportion of soil P loss increased in the DFAA treatments (8.96%) than that in the CS treatments (1.60%). The numerical simulation results show that the proportion of average annual soil P loss due to DFAA has been increasing in the Northern Anhui Plain, with 7.98–10.34% during 1964–2017, 2.07–14.16% during 2020–2050. The spatial distribution of annual soil P loss changed as well. The soil P loss in hypothetical natural scenario was 5.1 times and 5.9 times lower than that in history and future scenarios, which indicates significantly negative impacts of DFAA on environment. This study can provide references for estimating the environmental effects of DFAA on P in farmland systems.
      原文链接:
    • NSTL
    • Elsevier

    Towards quantifying plot-scale overland flow connectivity using acoustic proximal remote sensing

    Ghimire C.P.Ritchie W.Grundy L.Snow V....
    6页
    查看更多>>摘要：? 2021 Elsevier B.V.Soil surface depressions affect overland flow generation and related hydrological processes. Overland flow connectivity (C) of a field increases as more water ponds in and flows through local depressions, leading to flow across field boundaries. Quantifying the development of C during an irrigation or rainfall event is key to predicting the initiation of overland flow. A novel method to continuously monitor the development of C during an irrigation event is proposed. The method comprises two elements: (i) a new proximal sensing technique, which exploits acoustic technology to continuously monitor the proportion of the soil surface covered in water (ASW), and (ii) an overland flow model which simulates the flow of water over a rough soil surface and assists by converting ASW into C. A series of experiments were conducted to examine the proposed method. Directional acoustic transmitter and receiver arrays were used to estimate ASW in real-time from changes in reflectance. A structured light 3D camera was used to validate ASW estimated using acoustic reflectance. The results showed a significant correlation between observed and estimated ASW (R2 = 0.94, p < 0.001). We further demonstrated that the ASW, as measured using the acoustic proximal sensing, can be related to C using an overland flow model which allows to identify critical value of ASW needed to initiate overland flow. Our results show that this real-time method of monitoring C has a considerable potential in irrigated fields where prediction of overland flow is desirable.
      原文链接:
    • NSTL
    • Elsevier

    Simulated effects of plastic film-mulched soil on surface energy fluxes based on optimized TSEB model in a drip-irrigated cotton field

    Ochege F.U.Luo G.Yuan X.Owusu G....
    13页
    查看更多>>摘要：? 2021 Elsevier B.V.The value-added by plastic film mulches are numerous in agricultural productivity and its global acceptance is unprecedented. However, its disturbing effects on the natural water cycling, surface energy fluxes and partitioning of evapotranspiration (ET) in drip-irrigated fields with plastic film mulch are often overlooked or not investigated due to deficiencies in existing process-based ET models. This study optimized the simulation of plastic film-mulched soil effects on surface energy fluxes by incorporating a thermal contact resistance component into a satellite derived Land Surface Temperature-based Two-Source Energy Balance (i.e.,TSEBPM) model, in a drip-irrigated cotton field for two consecutive growing seasons (2009 and 2010). The optimized model agrees better with Eddy Covariance (EC) flux tower observation and showed reduced error biases than the original TSEB model. The RMSE values decreased for the net radiation, latent, sensible and ground heat fluxes by 10.85, 1.93, 4.84, 0. 81 (Wm?2), respectively. Moreover, ET partitioning by TSEBPM revealed the actual contribution of evaporation (E) and transpiration (T) in cotton water use at different growth stages. When cotton growth reaches the ball-opening stage (i.e., harvesting period or cotton canopy coverage > 75%), the mean E/ET value was 0.20 ± 0.05, while T/ET was 0.79 ± 0.05 during the irrigation seasons. Meanwhile, the plastic mulching altered the reflected shortwave radiation, thereby impacting on surface albedo reflectance under well saturated cotton canopy. As such, the transpiration sub-model parameters such as fractionalvegetationcover and vegetationgreenfraction had influential effects, and are the most sensitive in the TSEBPM model parameterization. This study showed that TSEBPM can provide robust insights into the effects of plastic mulching on surface energy fluxes and cotton ET, therefore can be explored further across arid agroecosystems.
      原文链接:
    • NSTL
    • Elsevier

    Balancing water and food by optimizing the planting structure in the Beijing–Tianjin–Hebei region, China

    Shen Y.Zhang H.Pei H.Luo J....
    13页
    查看更多>>摘要：? 2021 Elsevier B.V.In the past several decades, the irrigation of high-intensity cropping systems has caused serious groundwater depletion in the Beijing–Tianjin–Hebei region. Optimizing the planting structure is a key method for mitigating groundwater decline. However, the optimal planting structure has not been confirmed, and the effect of planting structures has not been quantified in groundwater overdraft areas. In this study, based on a model for planting structure optimization and the elitist nondominated sorting genetic algorithm, the water saving potential was estimated, and the trade-off between water resources and agricultural production was quantified. The results showed the following: (1) The current planting structure is a highly water-consuming system. The winter wheat–summer maize double-cropping system and vegetable and fruit cropping systems are the dominant contributors to crop water consumption, accounting for 90% of the total water deficit. (2) Constrained by regional water resources, it is difficult to achieve the objectives of halting groundwater decline and food self-sufficiency simultaneously unless at least 1.0 billion m3 yr-1 water from the mid-route of the South-to-North Water Transfer (SNWT) project is used for agriculture or wheat imports account for more than 25% (2.84 million ton yr-1) of the regional wheat demand. (3) It is almost impossible to achieve a balance between groundwater exploitation and replenishment only by optimizing the planting structure without decreasing the agricultural output or without using external water. When the planting structure is optimized, to coordinate grain crops, cash crops and water use, at least 81–96% (4.6–5.5 billion m3 yr-1) of the planned water from the SNWT project will need to be used for agriculture. (4) A viable option for restructuring planting should consider the regional self-sufficiency for wheat, a moderate surplus of vegetables/fruits to boost farmers’ income, and appropriate water transfer for groundwater sustainability. The results provide a compromise between food and water in severe groundwater overdraft areas and serve as a quantitative reference for making decisions regarding agricultural and water resource policies.
      原文链接:
    • NSTL
    • Elsevier

    Assessment and management of composite risk in irrigated agriculture under water-food-energy nexus and uncertainty

    Tan Q.Zhang T.Wang S.Hu K....
    13页
    查看更多>>摘要：? 2021 Elsevier B.V.Growing demands for water, energy, and food put many systems at a composite risk of resource shortages. There was a lack of approaches capable of effectively assessing tridimensional composite risk and describing non-linear correlations among subsystem risks within a Water-Energy-Food (WEF) nexus system. In this study, an integrated approach was developed to assess the composite risk of WEF nexus systems and generate risk-based plans. Specifically, a composite risk assessment model that could capture the interdependence among the risk for water, energy, and food shortage was proposed. Furthermore, a generalized Copula-based chance-constrained programming model and its solving algorithm were developed. The proposed approach has been applied to an agricultural WEF nexus system in northern China, where the shortage of water, energy and / or land affected agricultural outputs. Results show that the composite risk of the entire system would be higher than the maximum value among subsystem risks, but less than their sum. Higher composite risks could bring higher benefits. Under a certain composite risk, the overall system benefit would vary with different combinations of subsystem risks; and it could be promoted through coordinating resources supplied by different subsystems. A risk - benefit frontier consisting of optimal solutions corresponding to different combinations of composite and subsystem risks was identified through Monte Carlo simulation. The scheme that could generate 12.76 billion Yuan under a moderate composite risk level of 0.22 was recommended for the study problem. Accordingly, net irrigation water, energy for agriculture, and effective irrigation area should be no less than 1.66 × 109 m3, 81.08 × 103 tce, and 509.12 × 103 hm2, respectively.
      原文链接:
    • NSTL
    • Elsevier

    Driving factors of virtual water in international grain trade: A study for belt and road countries

    Xia W.Chen X.Song C.Perez-Carrera A....
    15页
    查看更多>>摘要：? 2021 Elsevier B.V.Water resources are distributed in the form of virtual water through international trade, which influences the water supply and consumption of each country. Therefore, it is of significance to study the driving factors of grain virtual water trade to alleviate water stress and guarantee food security. In this paper, the virtual water volume of grain crops traded between China and countries along the Belt and Road (B&R) from 2000 to 2019 was calculated, and a gravity model using panel data was applied to explore the effect of natural and socioeconomic factors on virtual water trade. The virtual water export from B&R countries to China obviously increased in the twenty years and the contributions of various crops to virtual water were more balanced. The regression results indicate that GDP and exchange rate were positively correlated with virtual water inflow, while per capital water resources, arable land, geographic distance, and population were negative factors that hindered virtual water import. The most powerful driving force for grain virtual water trade is water endowment. GDP is an important driver on importing virtual water for countries without water shortage, and a large number of local water resources will not obviously inhibit the driving force of economic strength. By comparing the contribution of factors to virtual water in the past ten years, it can be found that the contribution rate of distance decreased due to the development of transportation industry which reduced the transportation cost of exporting products. The contribution rate of GDP and exchange rate increased, because economic globalization has promoted the effect of economic factors on grain trade. Therefore, the trade structure of agricultural products should be modified based on the characteristics of virtual water flow. For countries without high economic level but water shortage, export crops with high water consumption be reasonably controlled.
      原文链接:
    • NSTL
    • Elsevier

    Synergetic management of water-energy-food nexus system and GHG emissions under multiple uncertainties: An inexact fractional fuzzy chance constraint programming method

    Xu Y.Tan J.Wang X.Li W....
    17页
    查看更多>>摘要：? 2021 Elsevier B.V.Management of water-food-energy nexus (WEFN) is of great importance to achieve the Sustainable Development Goals. The development of WEFN management strategies is challenged by extensive uncertainties in different system components. Also, agricultural activities would contribute a large portion of the total GHG emissions in many countries, which are affecting the promised carbon neutrality in future. In this study, an inexact fractional fuzzy chance constraint programming method was developed towards planning the water-food-energy nexus system under consideration of both uncertainties and greenhouse gases (GHG) emission. An inexact fractional fuzzy chance constraint programming-based water-energy-food nexus (IFFCCP-WEFN) model has been established under consideration of various restrictions and GHG emissions. Solutions of the planting areas for different crops in different periods have been generated. These results imply that the corn cultivation would be prioritized to satisfy cereal demand due to its relatively lower GHG emission intensity. But the residual resources, after satisfying cereal demand, would tend to be allocated to vegetable planting. Comparison has been conducted among the IFFCCP-WEFN model and WEFN models based the inexact fuzzy chance constraint programming approach with and without GHG emissions. The results indicate that, the results from IFFCCP-WEFN model would achieve a highest unit benefit and lowest total GHG emissions. The total GHG emissions can be 11% less at most than GHG emissions from the resulting crop structures of the other two comparable models. Consequently, the developed IFFCCP-WEFN model can help decision-makers identify the desirable planting structure for crops with a priority of low GHG emission rate. The major contributions in this study include (i) the inexact fractional fuzzy chance constraint programming method to deal with interval and fuzzy parameters, reflect decision makers’ preferences and handle conflicts among contradictory objectives, (ii) the IFFCCP-WEFN model to achieve a maximized unit benefit with respect GHG emissions
      原文链接:
    • NSTL
    • Elsevier

    Evaluation of effects of limited irrigation on regional-scale water movement and salt accumulation in arid agricultural areas

    Mao W.Zhu Y.Wu J.Yang J....
    16页
    查看更多>>摘要：? 2021 Elsevier B.V.Irrigation plays an important role in agricultural production, especially in arid and semi-arid regions. However, the conflict between water supply and demand will become more serious with increasing population. This study was to evaluate the effects of limited irrigation on regional-scale water movement and salt accumulation processes in agricultural areas. Due to frequent vertical interactions between the saturated groundwater zone and the unsaturated soil water zone and significant lateral groundwater movement between different horizontal areas in arid and semi-arid agricultural areas with shallow groundwater level, a quasi-three-dimensional (quasi-3D) model was adopted, which coupled one-dimensional (1D) soil water and salt movement and 3D groundwater and salt movement. The Yonglian irrigation area was used as the typical study site. Nine limited irrigation scenarios based on different allocations of irrigation water and hydrological years were set and analyzed. The main results were as follows: (1) The net groundwater recharge is negative under most of limited irrigation conditions, causing the decline of groundwater level ranging from 0.028 m to 0.199 m within one year. (2) With the decrease of irrigation and precipitation in farmland during the crop growth period, the groundwater recharge, groundwater recharge concentration, leaching efficiency coefficient will decrease linearly, while soil salt storage index will increase linearly. (3) Salts may accumulate in the root zone for dry years or normal years with autumn irrigation water less than 100 mm per unit area. (4) Lateral groundwater fluxes and salts contained in lateral groundwater fluxes will reduce approximately 30% and 40% under limited irrigation conditions. (5) The root zone will suffer from a very severe threat of soil salinization in farmlands in the future when considering the average annual increase rate of soil salt in the root zone is 3.6% under limited irrigation conditions, and necessarily intervenes are needed. The results could support decision-making for water-saving and soil salinity prevention in arid agricultural districts.
      原文链接:
    • NSTL
    • Elsevier