基于SWAT模型的煤炭开采区河道径流变化识别  被引量:3

Recognition of Runoff Changes in Mining Area Based on SWAT Model

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作  者:吴喜军 董颖[1] WU Xijun;DONG Ying(School of Civil Engineering, Yulin University, Yulin 719000, China;State Key Laboratory Base of Eco-hydraulic in Arid Area, Xi'an University of Technology, Xi'an 710048, China)

机构地区:[1]榆林学院建筑工程学院,陕西榆林719000 [2]西北旱区生态水利工程国家重点实验室培育基地(西安理工大学),陕西西安710048

出  处:《环境科学与技术》2018年第6期175-180,共6页Environmental Science & Technology

基  金:陕西省自然科学基金(2014JM2-5063); 榆林学院博士科研启动基金(16GK07)

摘  要:近些年陕北地区河道径流减少明显,特别是煤炭开采地区,而各影响因素的定量识别研究很少。该文以陕北煤炭开采区窟野河流域为例,首先建立了基准期(1960-1979)的SWAT模型;接着依次将近期(1999-2010)气象数据、土地利用数据代入模型,定量计算了近期气象因素、水保措施对河道径流的影响;最后根据近期生产生活用水的增量,得到煤炭开采等因素对河道径流的影响程度。结果表明:近期相对于基准期,窟野河流域由于气象因素造成的减水量为21 987×10~4m^3,水保措施造成的减水量为6 560×10~4m^3,煤炭开采造成的减水量为17 850×10~4m^3。该结果可为窟野河流域的生态修复提供重要参考。Recently the river runoff decreased obviously in Northern Shaanxi, especially in coal mining areas, and only few quantitative recognition research of influence factors has been done. This article takes the Kuye River as example, firstly established the reference periods(1960-1979) SWAT model; then introduces the recent periods(1999-2010) meteorological data and land use data into the model, quantitative calculated the influence of weather, conservation of water and soil. Finally according to the recent periods increment of industrial and living water, the influence of coal mining to Kuye River runoff was obtained. The results shows that compared with reference periods in Kuye River, the decrease water in recent periods is 21 987×10^4m^3 caused by weather, 6 560×10^4m^3 caused by conservation of water and soil, 17 850×10^4m^3 caused by coal mining. The results can provide important reference for Kuye River ecological restoration.

关 键 词:窟野河 SWAT模型 河道径流 煤炭开采 定量识别 

分 类 号:X143[环境科学与工程—环境科学]

 

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