Simulation soil water-salt dynamic and groundwater depth of spring maize based on SWAP model in salinized irrigation district

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-04-01 Epub Date: 2025-02-01 DOI:10.1016/j.compag.2025.109992
Chengfu Yuan , Yanxin Pan , Siyuan Jing
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Abstract

In order to explore the reasonable groundwater depth under current condition of water-saving implementation in Hetao Irrigation District, the SWAP (Soil-Water-Atmosphere-Plant) model was calibrated and validated based on field experiments data of spring maize in 2019 and 2020. The SWAP model was used to simulate soil water-salt flux and water-salt balance for 0–100 cm soil layer under current condition of groundwater depth, soil water-salt balance for 0–100 cm soil layer under different groundwater depth scenarios after model calibration and validation. The results showed that soil water flux cumulant of 0–100 cm soil layer was 111.6 mm and 63.1 mm during the two-year simulation periods under current condition of groundwater depth, respectively. Soil salt flux cumulant of 0–100 cm soil layer was −10.3 mg·cm−2 and −11.1 mg·cm−2 during the two-year simulation periods under current condition of groundwater depth, respectively. Soil salinity increased by 7.7 mg·cm−2 and 6.9 mg·cm−2 in 0–100 cm soil layer during the whole growth periods of spring maize under current condition of groundwater depth in 2019 and 2020, respectively. It had a risk of soil secondary salinization under current condition of groundwater depth in study area. It was necessary to regulate the groundwater depth to reduce soil secondary salinization. The simulation results of soil water-salt balance under different groundwater depth scenarios showed that when the average groundwater depth was about 1.96 m, it was conducive to crop growth and avoided soil secondary salinization. It was the appropriate groundwater depth under the condition of spring maize water-saving irrigation in study area. The underground pipe drainage system can be used to reduce the average groundwater depth to below 1.96 m, and the risk of soil secondary salinization is slight in study area.
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基于SWAP模型的盐渍化灌区春玉米土壤水盐动态及地下水深度模拟
为探索河套灌区节水实施现状下的合理地下水深度,基于2019年和2020年春玉米田间试验数据,对SWAP(土壤-水-大气-植物)模型进行了标定和验证。利用SWAP模型模拟了当前地下水深度条件下0-100 cm土层的土壤水盐通量和水盐平衡,并通过模型标定和验证,模拟了不同地下水深度情景下0-100 cm土层的土壤水盐平衡。结果表明:在当前地下水深度条件下,2年模拟期内0 ~ 100 cm土层的土壤水通量累积量分别为111.6 mm和63.1 mm;在当前地下水深度条件下,2年模拟期内0 ~ 100 cm土层的土壤盐通量累积量分别为−10.3 mg·cm−2和−11.1 mg·cm−2。在当前地下水深度条件下,2019年和2020年春玉米全生育期0 ~ 100 cm土层土壤盐度分别增加了7.7 mg·cm−2和6.9 mg·cm−2。在现有地下水深度条件下,研究区存在土壤次生盐渍化风险。通过调节地下水深度来减少土壤次生盐碱化是必要的。不同地下水深度情景下的土壤水盐平衡模拟结果表明,当地下水平均深度约为1.96 m时,有利于作物生长,避免土壤二次盐碱化。这是研究区春玉米节水灌溉条件下适宜的地下水深度。采用地下管道排水系统可使地下水平均深度降至1.96 m以下,研究区土壤次生盐渍化风险较小。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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