摘要
坎儿井水作为吐鲁番盆地供水水源之一,为当经济社会的发展做出了重要的贡献。随着该地区地下水开发利用的不断增长,坎儿井出水量受到了严重的影响。为更好的保护坎儿井,利用数值模拟方法分析了影响坎儿井出水量的主要因素,包括坎儿井结构设计、水文地质参数、地表水体入渗和地下水位变化四个方面。结果表明,坎儿井的出水量与坎儿井斜率、机井与坎儿井距离、含水层渗透系数这几种因素的影响较为显著,其余因素对坎儿井出水量影响较小。其中,当坎儿井斜率小于0.003时,出水量迅速增大;当机井与坎儿井平均距离越近时,坎儿井的出水量越小,当距离大于1 km时,对坎儿井出水量几乎没有影响;当含水层渗透系数为1 m/d时,坎儿井出水量达到最大值。
As one of the water sources of Turpan Basin, Karez wellwater has made great contribution to the development of economy and society. With the development and utilization of groundwater in this area, the water output of Karez well has been seriously affected. In order to better protect the Karez well, the main factors affecting the water output of the Karez well are analyzed by using numerical simulation method, including the structure design of the Karez well, hydrogeological parameters,surface water infiltration and groundwater level change. The results show that the water yield of The Karez well is significantly affected by the slope of the Karez well, the distance between the engine well and the Karez well, and the permeability coefficient of the aquifer, while the other factors have little influence on the water yield of theKarez well. Among them, when the slope of Karez well is less than 0. 000 3, the water output increases rapidly;When the average distance between the machine well and the Karez well is closer, the water output of the Karez well is smaller;when the distance is more than 1 km, it has almost no influence on the water output of the Karez well;When the permeability coefficient of aquifer is 1 m/d, the water output of Karezwellreaches its maximum value.
作者
马晓菲
杜明亮
刘小煜
朱豫鲁
MA Xiao-fei;DU Ming-liang;LIU Xiao-yu;ZHU Yu-lu(College of Water Conservancy and Civil Engineering,Xinjiang Agricultural University,Urumqi 830052,China;Xinjiang Key Laboratory of Hydraulic Engineering Security and Water Disasters Prevention,Urumqi 830052,China)
出处
《地下水》
2021年第4期1-4,17,共5页
Ground water
基金
新疆维吾尔自治区自然科学基金(2016D01B023)
新疆农业大学大学生创新创业项目(dxscx2020454)。
关键词
坎儿井
出水量
影响因素
数值模拟
Karez well
water yield
influencing factor
numerical modeling