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膜下滴灌水源矿化度对棉花生长的影响及AquaCrop模拟
引用本文:杨广,雷杰,孔春贤,何新林,李鹏飞,王春霞,李小龙,李毅,李发东.膜下滴灌水源矿化度对棉花生长的影响及AquaCrop模拟[J].农业工程学报,2022,38(21):83-92.
作者姓名:杨广  雷杰  孔春贤  何新林  李鹏飞  王春霞  李小龙  李毅  李发东
作者单位:1. 石河子大学水利建筑工程学院,石河子832003; 2. 寒旱区生态水利工程兵团重点实验室,石河子832003; 3. 现代节水灌溉兵团重点实验室,石河子832003;;4. 西北农林科技大学水利与建筑工程学院,杨凌712100;;5. 中国科学院大学,北京100049; 6. 中国科学院地理科学与资源研究所,北京100101;
基金项目:国家自然科学基金项目(52269006);兵团重点领域科技攻关计划项目(2021AB021);兵团科技合作计划项目(2022BC001);第三次新疆综合科学考察课题(2021xjkk0804);国家自然科学基金-新疆联合基金重点项目(U1803244);石河子大学青年创新人才培育计划项目(CXRC201801);石河子大学高层次人才计划项目(RCZK2018C22);石河子大学高层次人才科研启动项目(RCZK202026)
摘    要:利用微咸水灌溉是缓解干旱区灌溉淡水资源短缺的有效途径。为探讨膜下滴灌水源矿化度对棉花植株体内盐分累积、生长及产量的影响,该研究开展了2 a(2020-2021年)测坑试验,共设置 6个灌溉水矿化度,分别为1、2、3、4、5和6 g/L,分析了棉花生育期内不同土层盐分累积规律,构建了不同矿化度水源膜下滴灌棉花的AquaCrop作物生长模型。结果表明:1)不同矿化度水源膜下滴灌棉花土壤盐分在40~60 cm土层积累量达到峰值,80~100 cm土层盐分积累较少。不同矿化度水源膜下滴灌棉花2 a末40~60 cm土层盐分分别累积44.29%、42.68%、43.40%、34.92%、35.69%、39.32%。2)灌溉水源矿化度为3~4 g/L时棉花生长指标和产量优于其他处理,且从盐分积累看也不会造成盐分过高,灌溉水源矿化度为4 g/L与1 g/L相比棉花各生长指标和产量受到影响较小,综合考虑棉花适宜灌溉水源为3~4 g/L之间。3)通过构建AquaCrop作物生长模型模拟冠层覆盖度、地上干物质量模拟值与实测值的决定系数大于等于0.812,标准均方根误差不大于24.1,一致性指数不小于0.984,模拟效果较好。棉花产量模拟值与实测值的相对误差RE小于9.28%,可见AquaCrop作物生长模型能较好地模拟不同矿化度水源膜下滴灌棉花生长发育过程,可用于产量预测和农业水资源优化管理。研究结果可为干旱区咸水资源膜下滴灌技术可持续利用提供依据。

关 键 词:盐分  灌溉  棉花  咸水  矿化度  膜下滴灌  作物生长模型
收稿时间:2022/5/17 0:00:00
修稿时间:2022/10/8 0:00:00

Effects of water salinity on cotton growth in mulched drip irrigation and its simulation by Aquacrop model
Yang Guang,Lei Jie,Kong Chunxian,He Xinlin,Li Pengfei,Wang Chunxi,Li Xiaolong,Li Yi,Li Fadong.Effects of water salinity on cotton growth in mulched drip irrigation and its simulation by Aquacrop model[J].Transactions of the Chinese Society of Agricultural Engineering,2022,38(21):83-92.
Authors:Yang Guang  Lei Jie  Kong Chunxian  He Xinlin  Li Pengfei  Wang Chunxi  Li Xiaolong  Li Yi  Li Fadong
Institution:1. College of Water Conservancy & Architectural Engineering, Shihezi University, Shihezi 832003, China; 2. Key Laboratory of Cold and Arid Regions Eco-Hydraulic Engineering of Xinjiang Production & Construction Corps, Shihezi 832003, China; 3. Key Laboratory of Modern Water-Saving Irrigation of Xinjiang Production & Construction Group, Shihezi 832003, China;;4. College of Water Conservancy and Civil Engineering, Northwest A&F University, Yangling 712199, China;; 5. University of Chinese Academy of Sciences, Beijing 100049, China; 6. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China;
Abstract:Brackish water irrigation effectively alleviates the shortage of freshwater resources in arid areas. This study aims to explore the salt accumulation of cotton mulched drip irrigation with different salinity, together with their impact on crop growth. Taking the cotton (Nongfeng NO.133) planted in the test pit as a research object, a field test was conducted in the Key Laboratory of Modern Water-Saving Irrigation Corps (85°59?47?E, and 44°19?26?N). The size of the test pit was 2 m×2 m×2 m, where the bottom was set with a 30 cm sand and gravel filtration layer, and a cutoff wall was separated from the surrounding area. The cotton planting pattern was "one film, two pipes, and four rows" with a planting distance of 10 cm. The drip irrigation belt was laid between two narrow rows using the polyethene resin inlaid thin-walled maze (Xinjiang Tianye Water-Saving Irrigation Co. LTD). The drip head flow rate was 2 L/h. Two-year test pits of mulched drip irrigation were carried out with different gradient salinity. The irrigation water source was manually configured, according to the groundwater composition in the study area. The chemical mass ratio was NaHCO3:Na2SO4:NaCl:CaCl2:MgCl2=1:7:8:1:1. The selected fertilization level was 300-105-45 kg/hm2 (N-P2O5-K2O), the irrigation quota was 4800 m3/hm2, and the emerging water was fresh water. A total of six treatments were set with the salinity of 1, 2, 3, 4, 5, and 6 g/L. Some parameters were measured, including the soil electrical conductivity, cotton plant height, stem diameter, leaf area, aboveground biomass, and yield. An analysis was made on the salt accumulation characteristics of different soil layers during the cotton growth period. The AquaCrop model was constructed for the drip irrigation of the cotton under the water source film with different salinity using the data of local meteorology, soil, crop, management, and irrigation system. The results show that: 1) Soil electrical conductivity was positively correlated with the irrigation water salinity, where the influencing factor was ranked in the order of 6 >5 > 4 > 3 > 2 >1 g/L. The salt accumulation reached the peak in the 40-60 cm soil layer, whereas, there was less salt accumulation in the 80-100 cm soil layer. At the end of two years, the salt accumulation values were 44.29%, 42.68%, 43.40%, 34.92%, 35.69%, and 39.32%, respectively in the 40-60 cm soil layer of cotton under drip irrigation with the water source film of the different salinity. 2) The maximum growth indexes and the cotton yield reached the mineralization degree of 3 g/L. There was no influence on the growth indexes and yield of 4 g/L, compared with the CK. An optimal irrigation water source was achieved between 3 and 4 g/L for the cotton. 3) A systematic evaluation was made on the simulated and measured values of canopy coverage and aboveground dry matter mass. Specifically, the R2 was greater than 0.949 7, while the Root Mean Square Error, Standard Root Mean Square Error, and the d value were less than 18.15, 24.1, and 0.968, respectively. The relative error was no more than 9.28% between the simulated value and the measured value of cotton yield, indicating excellent simulation. The AquaCrop model can be expected to better simulate the dynamic changes of canopy coverage, biomass, and yield during the growth and development of cotton mulched drip irrigation with different salinity, particularly for yield prediction and optimal management. The finding can provide a fundamental basis for the sustainable utilization of mulched drip irrigation with the saltwater resources in arid areas.
Keywords:salinity  irrigation  cotton  salt water  mineralization  drip irrigation under mulch  crop growth model
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