基于AHC模型的辽西北花生膜下滴灌灌水量优化

doi:10.13287/j.1001-9332.202002.013

应用生态学报 ›› 2020, Vol. 31 ›› Issue (2): 483-492.doi: 10.13287/j.1001-9332.202002.013

基于AHC模型的辽西北花生膜下滴灌灌水量优化

黄振宇¹, 夏桂敏^1*, 胡家齐¹, 陈涛涛¹, 郑俊林¹, 吴奇¹, 迟道才¹, 王锋²

¹沈阳农业大学水利学院, 沈阳 110866;
²水利部机关服务局, 北京 100053

收稿日期:2019-08-12 出版日期:2020-02-15 发布日期:2020-02-15
通讯作者: * E-mail: xiagm1229@126.com
作者简介:黄振宇, 男, 1995年生, 硕士研究生。主要从事农业水文模型研究。E-mail: zyhuang95@163.com
基金资助:
本文由辽宁省高等学校创新团队项目(LT2017014)和辽宁省自然科学基金项目(20180550819)资助

Optimization of mulched drip irrigation amount for peanut based on AHC model in northwestern Liaoning, China

HUANG Zhen-yu¹, XIA Gui-min^1*, HU Jia-qi¹, CHEN Tao-tao¹, ZHENG Jun-lin¹, WU Qi¹, CHI Dao-cai¹, WANG Feng²

¹College of Water Conservancy, Shen-yang Agricultural University, Shenyang 110866, China;
²Bureau of Agency Service, Ministry of Water Resources, Beijing 100053, China

Received:2019-08-12 Online:2020-02-15 Published:2020-02-15
Contact: * E-mail: xiagm1229@126.com
Supported by:
This work was supported by the College Innovation Team Project of Liaoning Province (LT2017014) and the Project of Natural Science Foundation of Liaoning Province (20180550819).

摘要/Abstract

摘要： 为评价AHC模型在辽西北半干旱地区的适用性及寻求花生膜下滴灌条件下的最优灌水量,本研究以2016、2017年花生田间试验数据为基础,首先对模型参数进行全局敏感性分析,然后对土壤水分、作物生长模块参数进行率定及验证,最后应用AHC模型分析了试验年份花生产量和水分利用效率对不同灌水量的响应。结果表明: 模型的极敏感参数为土壤第1、2层的饱和导水率。校验过程中,土壤含水率模拟值与实测值的均方根误差(RMSE)和平均相对误差(MRE)分别在0.02～0.03 cm³·cm^-3和1.5%～2.3%,叶面积指数、株高的RMSE和MRE分别在0.3～0.6、4.2～4.5 cm和5.0%～8.9%、5.2%～6.8%,花生产量和耗水量的MRE都在5%以内,模型适用于辽西北地区土壤水分与花生生长模拟研究。随着灌水量增加,花生产量增加,而水分利用效率却减小。综合考虑产量和水分利用效率,试验年份(平水年)辽西北半干旱地区膜下滴灌花生优化灌水量为80～97 mm。

Abstract: To evaluate the applicability of AHC (agro-hydrological & chemical and crop systems simulator) model and explore the suitable irrigation amount for peanut (Arachis hypogaea) under mulched drip irrigation in the semi-arid areas of northwestern Liaoning Province, based on the two-year field experimental data of peanut in 2016 and 2017, the model parameters were firstly chosen for global sensitivity analysis. Then, module parameters of soil moisture and crop growth were calibrated and validated. Finally, AHC model was used to analyze the responses of peanut yield and water use efficiency (WUE) to different irrigation amounts. The results showed that the two extremely sensitive parameters of the model were saturated hydraulic conductivity in the first and second layers of soil. Root mean square error (RMSE) and mean relative error (MRE) between simulated and measured values of soil water content ranged from 0.02 to 0.03 cm³·cm^-3 and 1.5% to 2.3%, respectively. The RMSE and MRE of leaf area index and plant height were 0.3-0.6, 4.2-4.5 cm, and 5.0%-8.9%, 5.2%-6.8%, respectively. The MRE of peanut yield and water consumption were both within 5%, indicating that the model was suitable for simulating soil moisture and peanut growth in the northwest Liaoning Province. With the increases of irrigation amounts, peanut yield increased and water use efficiency decreased. Considering both peanut yield and WUE, we recommend that the optimal mulched drip irrigation amounts for peanut in the semi-arid areas of Northwestern Liaoning in test year (normal year) was 80-97 mm.

黄振宇, 夏桂敏, 胡家齐, 陈涛涛, 郑俊林, 吴奇, 迟道才, 王锋. 基于AHC模型的辽西北花生膜下滴灌灌水量优化[J]. 应用生态学报, 2020, 31(2): 483-492.

HUANG Zhen-yu, XIA Gui-min, HU Jia-qi, CHEN Tao-tao, ZHENG Jun-lin, WU Qi, CHI Dao-cai, WANG Feng. Optimization of mulched drip irrigation amount for peanut based on AHC model in northwestern Liaoning, China[J]. Chinese Journal of Applied Ecology, 2020, 31(2): 483-492.

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基于AHC模型的辽西北花生膜下滴灌灌水量优化

Optimization of mulched drip irrigation amount for peanut based on AHC model in northwestern Liaoning, China

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