83 | 0 | 5 |
下载次数 | 被引频次 | 阅读次数 |
灌区排水是农业灌溉不可避免的伴生过程,普遍存在于我国西北地区的灌溉农田,由于水质较差,若重新退回河道,将对流域水生态环境造成威胁。为此,以杭锦旗黄河南岸灌区为例,构建了MIKE SHE分布式水文模型,模拟预测灌区排水量及可利用量,同时利用水均衡法、引排比法等方法与水文模型模拟结果进行交叉校核。结果表明,现状排水系统工况下,多年平均排水量4 821×104m3,可利用量4 339×104m3;排水系统提升改造后,多年平均排水量4 920×104m3,可利用量4 428×104m3。各方法排水量预测结果略有出入,但总体相差不大,MIKE SHE水文模型模拟结果与平均值偏差控制在±4%以内,而验证期模拟排水相对误差为3.7%,可见MIKE SHE水文模型在灌区排水过程模拟中效果较好,可为灌区排水资源化利用提供参考借鉴。
Abstract:Irrigation drainage is an inevitable accompanying process in agricultural irrigation, widely present in the irrigated farmlands of the northwest region of China. Due to poor water quality, if it is returned to the river channels, it will pose a threat to the water ecological environment of the basin. Taking the Huanghe South Bank Irrigation District in Hangjin Banner as the research object, a MIKE SHE distributed hydrological model was established to predict the drainage volume and available volume of the irrigation district. Cross-checking was conducted with the simulation results of hydrological models by using the water equilibrium method and the ratio of diversion to drainage method. The results show that under the current drainage system conditions, the multi-year average drainage volume is 48.21 million m3, and the available volume is 43.39 million m3; After the drainage system is upgraded and transformed, the multi-year average drainage volume is 49.20 million m3, and the available volume is 44.28 million m3. The drainage volume prediction results of each method vary slightly, but the overall difference is not significant. The simulation results by MIKE SHE's hydrological model and the average deviation is controlled within ±4%, while the relative error of the simulated drainage during the verification period is 3.7%. The MIKE SHE hydrological model performs well in simulating the drainage process of the irrigation district, which can provide reference for the resource utilization of irrigation district drainage.
[1] 翟家齐,赵勇,刘宽,等.干旱区灌溉绿洲农业节水潜力形成机制与评估方法[J].水利学报,2023,54(12):1440-1451.
[2] 郑和祥,王万宁,孙晨云,等.基于SWAT模型杭锦旗黄河南岸灌区排水溯源特征研究[C]//中国水利学会.2023中国水利学术大会论文集(第一分册).郑州:黄河水利出版,2023.
[3] 介飞龙.大型引黄灌区退水滞后性与不确定性研究[D].西安:西安理工大学,2024.
[4] 邹家荣,罗纨,李林,等.灌排控制措施结合沟塘湿地改善水稻灌区排水水质的模拟分析[J].农业工程学报,2022,38(11):98-107.
[5] 李巧丽.甘肃景电引黄灌区退水规律与模拟研究[D].西安:西安理工大学,2020.
[6] PAPADIMOS D,DEMERTZI K,PAPAMICHAIL D.Assessing lake response to extreme climate change using the coupled MIKE SHE/MIKE 11 model:Case study of lake zazari in Greece[J].Water,2022,14(6):921.
[7] 李静思.大型引黄灌区退水规律与退水量预测方法研究[D].西安:西安理工大学,2021.
[8] 黄传霁,李春光,景何仿,等.基于MIKE SHE模型的土地利用与降水变化对宁夏中宁段黄河周边地区地下水位的影响[J].水电能源科学,2022,40(1):14-17,111.
[9] 韩金旭,张翔宇,刘姝芳,等.MIKE SHE模型在杭锦旗引黄灌区的应用研究[J].人民黄河,2022,44(10):150-153.
[10] 赵晶,段晶晶,王涛,等.用分布式水循环模型与机器学习预测内蒙古河套灌区节水潜力[J].农业工程学报,2023,39(16):89-98.
[11] 赵勇,董义阳,翟家齐,等.考虑生态耗水的干旱区绿洲灌溉用水效率评价指标与方法[J].水资源保护,2024,40(3):78-89.
[12] 高雅文,查元源,董斌.基于地下水均衡模型的河套灌区地下水补给排泄量分析[J].灌溉排水学报,2024,43(4):74-81.
基本信息:
DOI:10.20040/j.cnki.1000-7709.2025.20241498
中图分类号:S274;TV213.9
引用信息:
[1]张翔宇,宋瑞明,韩金旭等.基于MIKE SHE模型的灌区排水量模拟及可利用量研究[J].水电能源科学,2025,43(09):34-37.DOI:10.20040/j.cnki.1000-7709.2025.20241498.
基金信息:
中央级公益性科研院所基本科研业务费专项资金(HKY-JBYW-2024-06); 国家重点研发计划(2023YFC3206701)