| 摘要: |
| 针对内蒙古河套灌区解放闸灌域地下水埋深较浅且矿化度高及黄河水量逐年减少等因素导致的农业用水严重短缺问题，本研究以解放闸灌域玉米为研究对象，耦合Jensen模型与土壤水平衡模型构建灌区尺度灌溉水资源优化配置模型，对不同的地下水埋深及土壤含水量情景下水资源优化配置方案进行研究，并利用Lingo软件编程求解模型。结果表明:当地下水埋深为2.5 m时，引黄水量为3.85×108 m3，可以达到5.55×108元的净经济效益；而土壤水含量为0.12~0.16时，净经济效益为［5.41，5.67］×108元。优化结果验证了模型在当地可行，并针对河套灌区解放闸灌域的不同土壤含水量与地下水埋深情景分别提供14 种配水方案。 |
| 关键词: 水资源优化配置 土壤水平衡 解放闸灌域 Jensen模型 |
| DOI：10.11841/j.issn.1007-4333.2020.07.09 |
| 投稿时间：2019-11-26 |
| 基金项目:“十三五”国家重点研发计划项目(2018YFC1508705) |
|
| Study on the water optimal allocation in irrigation district based on considering soil water balance |
|
ZHAO Min,GUO Ping,ZHANG Yan
|
| (College of Water Resource & Civil Engineering, China Agricultural University, Beijing 100083, China) |
| Abstract: |
| Due to the shallow groundwater depth, the high salinity of groundwater and the decreasing of water amount in the Yellow River year by year, there is a serious shortage of agricultural water in the Jiefangzha irrigation district, Hetao Irrigation District, Inner Mongolia. Aiming at this problem, this study builds an irrigation water resources optimization model by integrating the Jensen model and soil-water balance model and maize in the Jiefangzha irrigation district is taken as study object. Agricultural water optimal allocation schemes are generated under different scenarios of groundwater depths and soil water contents. Lingo software programming is used to the developed model. The results show that: When the local water depth is 2. 5 m, the amount of optimal irrigation water is 3. 85×108 m3, which achieves a net economic benefit of 5. 55×108 yuan. When the soil water content is within the range of 0. 12-0. 16, the net economic benefit is ［5. 41, 5. 67］×108 yuan. The optimization results indicate that the model is feasible and can provide 14 water allocation schemes under different soil water content locally and groundwater depth scenarios in the Jiefangzha irrigation area of the Hetao Irrigation District. |
| Key words: water resources optimal allocation soil water balance Jiefangzha area Jensen model |
