摘要
陕北能源区地处我国西北干旱半干旱地区,是黄土与风积沙的过渡区,该区蒸发强烈,降水稀少,地下水作为该区域重要的供水水源,主要接受垂向上的降水补给。为研究黄土与风积沙的降水入渗过程及其降水入渗补给系数,通过野外取样、室内参数测定,并运用Hydrus-1d建立包气带水分运移数值模型,模拟陕北能源区内2种沉积物的水分运移过程。以接近多年平均降水水平的2015年为例,模拟结果显示风积沙地的降水入渗深度超过6.2 m,而黄土地的降水入渗深度很难超过5.0 m,且两者的降水入渗补给系数分别为0.255和0.111。研究结果对准确计算陕北能源区地下水资源量,进而更好地指导区域水资源系统规划、生态环境保护和经济可持续发展具有重要意义。
The energy area of northern Shaanxi is located in the arid and semi-arid region of northwest China,which is the transition zone between loess and aeolian sand.In this area,the evaporation is strong and the precipitation is rare.As an important water source,the groundwater is mainly recharged by precipitation vertically.In order to study the process of precipitation infiltration and feed coefficient of precipitation infiltration of loess and aeolian sand,a numerical model of water transport in vadose zone was established based on field sampling and indoor parameter measurement,to simulate water transport process of two kinds of sediments in the energy area of northern Shaanxi by Hydrus-1d.Taking 2015 as an example,which is close to annual average precipitation level,the simulation results show that the precipitation infiltration depth of aeolian sand is more than 6.2 m,while that of loess is hardly more than 5.0 m,and the feed coefficient of precipitation infiltration are 0.255 and 0.111,respectively.The results are of great significance to accurately calculate the amount of groundwater resources in the energy area of northern Shaanxi.So it is better to guide the regional water resources system planning,ecological environment protection and sustainable economic development.
作者
许峰
XU Feng(China Coal Research Institute,Beijing 100013,China;CCTEG Xi’an Research Institute(Group)Co.,Ltd.,Xi’an 710054,China;Shanxi Key Laboratory of Coal Mine Water Hazard Control,Xi’an 710077,China)
出处
《矿业安全与环保》
CAS
北大核心
2023年第4期116-122,共7页
Mining Safety & Environmental Protection
基金
国家重点研发计划项目(2017YFC0804106)
陕西省自然科学基础研究计划项目(2020JM-715)。
关键词
陕北能源区
黄土
风积沙
降水
入渗补给系数
energy zone of northern Shaanxi
loess
aeolian sand
precipitation
feed coefficient of precipitation infiltration
