摘要
土壤盐渍化是世界性的资源和生态问题,严重制约了农业生产的可持续发展。为探明主导土壤盐渍化的特征因子,以景泰川电力提灌灌区为研究区,结合土壤性状调研、室内试验,利用相关性分析和主成分分析等方法对区域土壤盐渍化特征进行研究。结果表明:研究区土壤盐渍化类型主要以硫酸盐为主,灌区内同时存在着盐分表聚和底聚现象,且各层含盐量均具有很强的变异性;各层土壤中阳离子以Na^+为主,阴离子以SO_4^(2-)为主;土壤全盐量与Na^+、Cl^-、SO_4^(2-)均呈现出极显著正相关,相关性最强的是Na^+;SO_4^(2-)、Na^+,全盐量(TS)是表征景电灌区土壤盐渍化的主要特征因子。相关研究可为我国西北等干旱区的土地资源可持续利用提供理论依据。
Soil salinization is a worldwide resource and ecological problem,seriously restricting the sustainable development of agricultural production. To identify the dominant factor of soil salinization,this paper takes Jingdian-Pumping Irrigation District as the research area. The soil salinization characteristics of the soil are studied by means of correlation analysis and principal component analysis in combination with soil character investigation and laboratory test. The results show that the main types of soil salinization are sulfate,salt table clustering and depolymerization are present in the irrigation area,and the salt content of each layer has very strong variability. The cationic ions in the soil are mainly Na^+,and anions are SO4^2-. The total salinity of soil is positively correlated with Na^+,Cl^-and SO4^2-. The most relevant is Na^+;Na^+,Cl^-. Total salt,SO4^2- are the main characteristics of soil salinization in the area of the site. This study can provide a theoretical basis for the sustainable utilization of land resources in arid regions of northwest China.
作者
徐存东
张锐
王荣荣
高懿伟
程昱
田俊姣
刘辉
XU Cun-dong;ZHANG Rui;WANG Rong-rong;GAO Yi-wei;CHENG Yu;TIAN Jun-jiao;LIU Hui(School of Water Conservancy,North China University of Water Resources and Electric Power,Zhengzhou 450045,Henan Province,China;Collaborative Innovation Center of Water Resources Efficient and Protection Engineering,Zhengzhou 450046,Henan Province,China;Henan Tianchi Pumped Storage Co.,Ltd.,Nanyang,473000,Henan Province,China)
出处
《中国农村水利水电》
北大核心
2018年第8期9-14,共6页
China Rural Water and Hydropower
基金
国家自然科学基金资助项目(51579102
31360204)
河南省科技厅科技创新人才支持计划(174200510020)
关键词
景电灌区
盐渍化
主成分分析
特征因子
Jingdian-Pumping Irrigation District
salinization
principal component analysis
characteristic factor