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Agricultural Water Management
Elsevier
Agricultural Water Management

Elsevier

0378-3774

Agricultural Water Management/Journal Agricultural Water ManagementSCIISTPEI
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    Application of image technology to simulate optimal frequency of automatic collection of volumetric soil water content data

    Wang J.Zhang Z.Li X.Han Y....
    11页
    查看更多>>摘要：? 2022Volumetric soil water content (VSWC) monitoring is an important aspect of environmental monitoring of farmland. Accurate and real-time determination of the VSWC is important for crop drought stress diagnosis and smart irrigation. Image technology is commonly used in agricultural information technology. Based on image technology, we simulated the optimal frequency of the sensors to automatically collect VSWC data, thereby solving the problems of data redundancy and data analysis difficulties in real-time monitoring. In this study, a cotton field under mulched drip irrigation in 2018 was utilised as the research subject, 5TE sensors were arranged on the soil profile of the cotton field using the "grid method", and Voxler and Surfer software was used to model the VSWC data and draw contour maps. Image processing technology (image greyscale and image similarity comparison) was employed to determine the image algorithm suitable for contour map pre-processing and the best time period for VSWC monitoring. These results indicated that the contrast-limited adaptive histogram equalisation (CLAHE) greyscale algorithm is a suitable pre-processing algorithm for processing contour maps using image processing technology, and the best 5TE sensor data monitoring time period is every 10 h. This conclusion provides a theoretical reference for VSWC monitoring and water management in production.
      原文链接:
    • NSTL
    • Elsevier

    A credibility-based interval multi-objective crop area planning model for agricultural and ecological management

    Chen J.Zhang C.Guo P.
    11页
    查看更多>>摘要：? 2022 Elsevier B.V.This study presents a credibility-based interval multi-objective crop area planning model for agricultural and ecological management under uncertainty. The model is developed through the integrations of interval multi-objective programming and fuzzy credibility-constrained programming by considering economic and ecological benefits of the study system, and dealing with interval and fuzzy uncertainties. It focuses on crop area optimization with the interval objective function of maximizing the system benefits, maximizing the watershed area, and fractional interval objective function of maximizing the land productivity (i.e., system benefits per unit area). Additionally, the relationship between watershed area and ecological discharge is expressed as interval linear function, which is estimated by using interval regression analysis method. Then, the model is applied to a case study in Minqin County in the lower reaches of Shiyang River Basin for crop area optimization in view of the increasing shortage of water resources and the competition between agricultural and ecological water use. Optimal solutions for different scenarios can be generated based on fuzzy credibility constraints when the predefined credibility levels are set as 0.6, 0.7 and 0.8, 0.9, respectively. The results show that the crop area optimization model can better balance the regional agricultural and ecological benefits while ensuring grain production and promoting water saving. Moreover, a higher level of credibility corresponds to a lower system benefit but a larger watershed area. When credibility level is raised from 0.6 to 0.9, the upper bounds of system benefits are decreased from 13.87×108 Yuan to 13.81×108 Yuan whereas the watershed area is increased from 41.01 km2 to 42.12 km2. These various optimal results can help decision makers weigh system benefits and constraint-violation risks. Therefore, the results of the model can provide decision-making basis for the crop area optimization and provide valuable basis for the sustainable development in Minqin County and similar study areas.
      原文链接:
    • NSTL
    • Elsevier

    Temporal and spatial variation and driving factors of water consumption in the middle Heihe river basin before and after the implementation of the"97 water diversion scheme"

    Cai W.Jiang X.Sun H.He J....
    13页
    查看更多>>摘要：? 2022 Elsevier B.V.Irrational allocation of irrigation water resources aggravates water shortages, affecting the sustainable development of agriculture, especially in arid regions. The expansion of the cultivated area in the middle Heihe river basin (HRB) will not necessarily increase the water consumption, despite the increase in the water-saving irrigation area. In this study, the temporal and spatial distribution, and the driving factors related to water consumption, including evapotranspiration (ET), transpiration (T), evapotranspiration ratio (T/ET), and precipitation deficit (ET-P), were investigated in the middle HRB using linear trend, piecewise fitting, and multiple linear regression method. The results show that the “97 WDS” has prominent impacts on the temporal and spatial trends and the driving factors in ET and T in the middle HRB. Water consumption does not necessarily increase under the centralized water allocation with improved irrigation efficiency and increased cultivated area. The result provides new evidence for increasing T/ET to decrease water consumption in response to the expanding cultivated area, while helping decision-makers to reduce water consumption in the middle HRB, and evaluate “97 WDS”.
      原文链接:
    • NSTL
    • Elsevier

    Estimation of turbulent fluxes over almond orchards using high-resolution aerial imagery with one and two-source energy balance models

    Peddinti S.R.Kisekka I.
    13页
    查看更多>>摘要：? 2022 The AuthorsEstimation of actual crop evapotranspiration (ETc) using high-resolution aerial remote sensing data is important to detect water stress, map, and manage water resources in precision agriculture. High-resolution ETc can be estimated using land surface energy balance models and remotely sensed land surface temperatures (LST) obtained using manned or unmanned aerial vehicles equipped with thermal cameras. In this study, three remote sensing ETc models were compared, i.e., Two-Source Energy Balance (TSEB) model, Mapping Evapotranspiration with Internalized Calibration (METRIC), and Surface Energy Balance Algorithm for Land (SEBAL) models. Thermal images were obtained using an airplane flying daily over almond orchards in California during the 2020 growing season. The LST images were obtained at 0.5 m spatial resolution. Model comparisons indicated that all three models produced latent heat fluxes and net radiation estimates that agreed with eddy covariance measurements in the order of TSEB (R2 of 0.89 for LE and 0.88 for Rn), METRIC (R2 of 0.81 for LE and 0.86 for Rn), and SEBAL (R2 of 0.81 for LE and 0.83 for Rn). However, METRIC and SEBAL overestimated the latent heat fluxes while underestimating the sensible heat fluxes as compared to the two-source model (TSEB). The root mean square error (RMSE) of the instantaneous latent and sensible heat fluxes were less than 38 W m?2 for TSEB, and were within 58 W m?2 for METRIC and SEBAL models. The TSEB model's good performance can be attributed to its partitioning of surface temperature between soil, crop cover in the inter rows, and almond tree canopies. Overall, the results suggest that both one and two-source surface energy models originally developed for satellite imagery are able to estimate instantaneous turbulent fluxes and spatial variability in ETc using high-resolution imagery. In addition, systematic variations in LST due to variable rate irrigation scheduling as depicted in the high spatial resolution imagery provided confidence in the spatially distributed latent heat flux maps estimated by the energy balance models. This study shows that high-resolution aerial imagery combined with energy balance models originally developed for satellite remote sensing can be used to accurately estimate site specific ETc that is critical to achieving precision irrigation management in almond orchards and other crops.
      原文链接:
    • NSTL
    • Elsevier

    Impact of flow pathway and source water connectivity on subsurface sediment and particulate phosphorus dynamics in tile-drained agroecosystems

    Nazari S.Ford W.I.King K.W.
    10页
    查看更多>>摘要：? 2022 Elsevier B.V.Subsurface tile drainage is recognized as a significant source of sediment and particulate phosphorus (PP) in the midwestern U.S. However, the role of subsurface flow pathway and source water connectivity dynamics on sediment transport is poorly understood. The overarching objective of this study was to investigate sediment and PP loading dynamics for a midwestern subsurface tile drained agroecosystem and assess the governing flow pathway and water sources impacting subsurface sediment loads. In this study, we used a recently-developed framework that couples event-based hydrograph recession and specific conductance-end-member mixing analysis (SC-EMMA) to assess governing drivers of sediment transport through tile. We collected high-frequency specific conductance, turbidity, and subsurface discharge data from an edge-of-field (EOF) tile main located in northwestern Ohio for 15 months. Multiple linear regression (MLR) analysis and hysteresis analysis were employed to evaluate the impact of pathway-connectivity dynamics on flow-weighted mean Total Suspended Solids (TSS) concentrations. The MLR analysis showed that quickflow of new water (Qquick-new) had the highest flow-weighted mean sediment concentrations, and that concentrations associated with quickflow of old water (i.e., matrix-macropore exchange) were variable. Analysis using the hysteresis index (HI) showed that hysteresis characteristics (magnitude and direction) for separated hydrographs using the pathway-connectivity framework deviated from HI values of subsurface discharge (Qtile) and highlighted the importance of Qquick-new through much of the monitoring period. For events immediately following tillage and cover crop application in Fall 2019, we found Qquick-old was the primary form of preferential flow, peak sediment concentrations coincided with Qquick-old, and event sediment loadings during these events decreased relative to the previous fall. The findings suggest that reducing preferential transport of new water may be an effective strategy for reducing sediment and particulate P loadings at the edge-of-field.
      原文链接:
    • NSTL
    • Elsevier

    Ridge-furrow plastic film mulching enhances grain yield and yield stability of rainfed maize by improving resources capture and use efficiency in a semi-humid drought-prone region

    Zheng J.Zhou M.Fan J.Zhang F....
    13页
    查看更多>>摘要：? 2022 Elsevier B.V.Soil mulching, e.g. straw mulching (SM) and ridge-furrow plastic film mulching (RP), has been reported to promote rainfed crop production in semi-arid regions, but its applicability in improving maize yield and especially yield stability in semi-humid drought-prone regions has been rarely explored. The capture and utilization of thermal, light, water and nutrients resources by maize plants under various soil mulching conditions are also poorly understood. A consecutive five-season field experiment was conducted on rainfed maize in a semi-humid drought-prone region of China during 2015–2019 to assess the effects of SM and RP on soil hydrothermal conditions, radiation interception, photosynthesis, evapotranspiration and grain yield stability, profitability and resources use efficiency compared with non-mulching (NM). The results showed that RP enhanced soil hydrothermal conditions, promoted the conversion of water from soil evaporation to plant transpiration and improved water productivity by 10.9%?203.2% compared with NM (P < 0.05). Although the growth duration was shortened, the accumulative soil thermal time and intercepted photosynthetically active radiation under RP were still 4.4% and 3.9% higher, with average increases in thermal time use efficiency by 23% and radiation use efficiency by 24%, which resulted in significantly higher nutrients accumulation (by 6.7%?19.7% for nitrogen and 4.1%?42.0% for phosphorous), grain yield (by 9.5%?186.4%) and yield stability (by 38.1%). These improvements were particularly pronounced in normal and dry years (2015, 2016 and 2017). No significant difference existed in maize's capacity of absorbing water and nutrients and maize productivity between SM and RP under sufficient precipitation supply (2018 and 2019). The average net profit was highest under RP, especially in dry and normal years, while SM could achieve comparable net profit to RP in wet years. Overall, RP was preferable for rainfed maize production in semi-humid drought-prone regions in any precipitation year, while SM can be an alternative mulching practice in wet years. These results can improve our understanding of how RP and SM enhance rainfed maize productivity by improving resources capture and use efficiency.
      原文链接:
    • NSTL
    • Elsevier

    Prioritization of surface water distribution in irrigation districts to mitigate crop yield reduction during water scarcity

    Avargani H.K.Hashemy Shahdany S.M.Kamrani K.Hashemi Garmdareh S.E....
    14页
    查看更多>>摘要：? 2022 Elsevier B.V.The vulnerability of conventional operational systems in agricultural water distribution systems becomes controversial under successive water shortages. Accordingly, inadequate, unfair, and unreliable surface water distribution has led to crop yield reduction and economic damage. To address these issues, a novel configuration of an automated operating system was developed to mitigate crop yield reductions during times of water scarcity. Using centralized model predictive control (CMPC), an automatedwater distribution control system was developed in MATLAB version (2018a) and integrated with the Aquacrop model to provide an intelligent daily water distribution prioritization within irrigation districts. This study also investigated technical and environmental perspectives in enriching the resilience of agricultural water distribution systems influenced by the water shortage periods. A controversial irrigation district located in central Iran was selected as the test case located in a basin where reported socio-economic and environmental concerns are among the highest in Iran. Application of the developed configuration of the CMPC led to 4.1%, 5.7%, 5.6%, and 7.3%, increasing the crop yield under the water shortage scenarios of 15%, 20%, 25%, and 30%, respectively. Likewise, employing the intelligent operation led to the economic benefit of 8.5, 11.3, 11.9, and 16.8 M US$ by conserving crop production of 3841.4, 5104.8, 5367.6, and 7543.0 tons, respectively, under the scenarios as mentioned above. The proposed method enables water authorities to promote the surface water distribution system in practical, implementable, and step-by-step planning to increase individual and public profits and environmental achievements by reducing water extraction from tube-wells based on the actual water demand potential.
      原文链接:
    • NSTL
    • Elsevier

    Bio-inspired and artificial intelligence enabled hydro-economic model for diversified agricultural management

    Sajith G.Srinivas R.Magner J.Golberg A....
    13页
    查看更多>>摘要：? 2022 Elsevier B.V.Neoteric phenomena such as climate change, scarce water availability and excessive fertilizer usage necessitate an augmentation of resource utilisation efficiencies in the agricultural sector. There is a need to reorient the agroecosystems to curb stress on environmental resources while meeting rising socio-economic objectives under changing hydro-climatic conditions. Considering this, optimal land allocation for diversified agriculture is essential. We propose a combinatorial optimisation approach for land allocation considering agronomic, socio-economic, environmental and hydro-climatic objectives using bio-inspired optimization algorithms. The stochastic approach tackles the problem of optimal agricultural land allocation for crops in a multidimensional context by simultaneously addressing the conflicting goals of farm-level risk management as well as district-level contingency planning. The efficiencies and sensitivity of the proposed framework are assessed through a case study of the Dharwad district in Karnataka, India using the data (water and fertilizer consumption and cost, crop type, cultivable land, man and machine hours, etc.) from the year 2019–2020. Results indicate that Multi-objective Genetic Algorithm (MOGA) is more capable of optimising agricultural resources management by suggesting optimal land allocation for diversified crop planning. Although Cuckoo Search (CS) and Particle Search Optimisation (PSO) also produced productive Pareto fronts, they were observed to be less effective than MOGA. The annual increase in profits and crop yield obtained using MOGA are 103% and 97% respectively, while water usage is reduced by 5% compared to the conventional routines in Dharwad. The proposed hydro-agronomic decision support framework (DSF) can be utilised to assist the AI-enabled crop planning process for the sustainable management of agroecosystems.
      原文链接:
    • NSTL
    • Elsevier

    Water regimes on soil covered with plastic film mulch and relationships with soil water availability, yield, and water use efficiency of papaya trees

    Santos D.L.Lima L.W.F.D.Barros D.L.Filgueiras R....
    12页
    查看更多>>摘要：? 2022 Elsevier B.V.Plastic film mulches have the potential to be used in papaya production, mainly aiming to reduce water application in semi-arid regions. However, there is a lack of technical information and the need to introduce mulching practices in papaya orchards. The objective of this work was to evaluate the effects of plastic film mulch and irrigation depths on soil water availability (SWA), stomatal conductance, leaf temperature, and agronomic traits of papaya trees. The study was carried out during 2018 and 2019 in Jaíba city, located northern Minas Gerais state, in the Brazilian semi-arid region. The experiment was a split plot design, with soil cover conditions assigned to the plots (bare soil and mulched soil) and water replenishment levels to subplots (25%, 50%, 75%, 100% and 125% of crop evapotranspiration [ETc]). Plants were drip irrigated with water replenishments based on climate data. Soil moisture was measured along time and agronomic and physiological characteristics of papaya trees, as well. Water tensions were higher in treatments with lower water replenishments. Results showed that the increase in irrigation depth favors leaf-area growth rate, stomatal conductance, yield, and water footprint of papaya. The use of mulch together with the increase in water replenishment levels contributes for maintenance of the soil water content between the upper limit of SWA and 75%SWA. The use black plastic mulching with drip irrigation in medium-textured soil saves up to 152 L of water per Kg of fruit, and increase productivity up to 34% by replenishing the crop evapotranspiration every irrigation event. The use of black plastic as ground cover is technically feasible for keeping soil water availability above 75% by irrigation supply of at least 75% of ETc on sand-clay-loam soil.
      原文链接:
    • NSTL
    • Elsevier

    Impact of drought and salinity on olive potential yield, oil and fruit qualities (cv. Chemlali) in an arid climate

    Trabelsi L.Gargouri K.Ayadi M.Mbadra C....
    18页
    查看更多>>摘要：? 2022 Elsevier B.V.The increase water demand for irrigation is leading to the use of low-quality water resources. The combined impact of drought and salinity on olive production sustainability, yield quality, growth, soil salinity and soil water conditions in arid areas has been little investigated. This study's purpose was conducted to investigate the effects of the monitoring of saline water irrigation on soil properties and olive trees (cv. Chemlali) grown in an arid region of Tunisia (Sfax), on the potential yield, growth and quality of the resultant virgin olive oil in comparison to Rain-fed conditions. It is also intended to compare olive productive performance during a severe drought with, and without, irrigation and to assess recovering capacities after long driest period. Three irrigation levels were considered: (i) Full irrigation (100%ETc) with saline water 7.5 dS m-1 (FI); (ii) Full irrigation with same amount of water than the FI applied with tap water 2.46 dS m-1 (TW); and (iii) Rain-fed conditions (Dry). The results have showed that irrigation with saline water maintained the soils permeability, induced the distribution of salts outside the root zone. Additionally, it has maintained an adequate hydration of the rhizosphere through continuous and efficient leaching of salts to deep horizons. After drought period, the increase of the yield of rain-fed trees indicated 50% of recovery as compared to saline water. Irrigation with saline water reduced this gap due to drought impact. But it was 50% under that tap water; while reduction was 15% as a reduction capacity of potential yield. Hence, drought and salt stress alter the olive tree capacity and potential yield in an irreversible way if their severity is very intense. As salinity increased, there was a desirable sink in measured total phenols and flavonoids levels and a rise of oleic and linoleic acids as compared to rainfed conditions. For the triglycerides composition, triolein (OOO) was present in very large quantity in three oils, with a high content for FI (23.94%). Saline water treatment did not affect free acidity, peroxide value, K232, K270, chlorophyll, carotenoids, in contrast to Rain-fed treatment which was decreased. Olive trees permanently lost less than half of their potential yield during drought without irrigation. Irrigation with saline water seems to ensure sustainable monitoring olive yield and oil quality.
      原文链接:
    • NSTL
    • Elsevier