摘要
为了简化地下水化学类型分区的流程,客观地反映地下水化学类型的空间分布特征,基于GIS技术设计了地下水化学类型分区空间分析模型,利用K++Na+、Ca2+、Mg2+、HCO3-、SO42-、Cl-毫克当量百分数栅格数据,对阴阳离子进行组合排序编码,自动完成水化学类型的识别与空间分区,并使用ArcGIS的ModelBuilder实现了模型构建。以实际样本数据为例对该模型进行了验证,对地下水化学类型分区结果与传统方法进行了对比分析。结果表明,采用空间分析模型进行地下水化学类型分区的方法高效可行,水化学分区整体效果与传统方法基本一致,空间分析模型方法能够更好地反映地下水化学类型的空间演化特征。
This study is carried out to simplify the procedure of regionalization of groundwater hydrochemical type, and to objectively reflect spatial distribution characteristics of groundwater hydrochemical types. Based on the geographic information system(GIS) technology, the spatial analysis model for regionalization of groundwater hydrochemical type is designed and built by ArcGIS ModelBuilder. Using milligrams equivalent percent raster data of K++Na+、Ca2+、Mg2+、HCO3-、SO42- and Cl-, the combinations and sequence of cations and anions are encoded, and the identification and spatial regiona-lization of groundwater hydrochemical type are automatically completed. The model is validated by measured sample data, and the results of the regionalization of groundwater hydrochemical types are compared with traditional methods. The result shows that the method is efficient and feasible by using spatial analysis model to identify and regionalize the groundwater hydrochemical type, and the overall effect of hydrochemical type regionalization is consistent with that of traditional methods, and the spatial analysis model can better reflect the spatial evolution characteristics of groundwater hydrochemical types.
作者
徐斌
张艳
XU Bin;ZHANG Yan(School of Environmental Science and Engineering, Chang'an University, Xi'an 710054, China;Key Laboratory of Subsurface Hydrology and Ecological Effects in Arid Region, Ministry of Education, Chang'an University, Xi'an 710054, China;School of Earth Science and Resources, Chang'an University, Xi'an 710054, China;Shaanxi Key Laboratory of Land Consolidation, Xi'an 710054, China)
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2019年第6期866-874,共9页
Geomatics and Information Science of Wuhan University
基金
高等学校学科创新引智计划(B08039)
国家自然科学基金(41761144059)
国土资源部退化及未利用土地整治工程重点实验室开放基金(SXDJ2018-11,SXDJ2019-13)
陕西省土地整治重点实验室开放基金(2018-JC09)~~
