长江流域资源与环境 >> 2014, Vol. 23 >> Issue (08): 1161-.doi: 10.11870/cjlyzyyhj201408017

• 生态环境 • 上一篇    下一篇

南水北调中线工程水源地的土壤可蚀性特征

朱明勇,谭淑端,张全发   

  1. (1.闽南师范大学历史与社会学系,粒计算重点实验室,福建 漳州 363000; 2.湖南农业大学生物科学技术学院, 湖南 长沙410128; 3.中国科学院武汉植物园水生植物与流域生态重点实验室, 湖北 武汉430074
  • 出版日期:2014-08-20

CHARACTERISTICS OF SOIL ERODIBILITY IN THE SOUTHTONORTH WATER TRANSFER PROJECT (MIDDLE ROUTE),CHINA

ZHU Mingyong1,TAN Shuduan2,ZHANG Quanfa3   

  1. (1.Minnan Normal University Department of History and Sociology,Laboratory of Granular Computing,Zhangzhou 363000,China; 2.College of Bioscience and Biotechnology,Hunan Agricultural University,Changsha 410128,China; 3.Key Laboratory of Aquatic Botany and Watershed Ecology,Wuhan Botanical Garden,Chinese Academy of Sciences,Wuhan 430074,China
  • Online:2014-08-20

摘要:

选定南水北调中线工程水源地丹江口水库区这一国家水土流失重点治理区域为研究地点,对该地的土壤可蚀性特征进行了研究。在研究区不同土地覆盖类型里采取表层(20 cm)土壤样品,室内分析样品土壤的质地和有机质含量,利用EPIC模型及实验室分析的土壤质地和有机质数据计算样品土壤可蚀性K值。在ARCGIS里,利用Ordinary Kriging插值方法生成研究区K值分布图。然后按一定标准将K值进行分级,得出不同K等级值的空间分布及面积。结果表明:研究区K的均值为0034 8( t·hm2·h)/(hm2·MJ·mm),主要为中可蚀性土壤(面积占91.71%)。东部(主要是耕地)土壤K值高于西部(主要是林地),是侵蚀治理的重点地区。研究结果可为库区水土流失定量遥感监测提供基础资料,对库区的土壤侵蚀治理有一定的参考作用

Abstract:

Danjiangkou Reservoir Region is the water source area of the SouthtoNorth Water Transfer Project (Middle Route). Soil erosion is one of the major environment problems in this area. An indicator of soil susceptibility to erosion is referred as the soil erodibility factor K and it indicates vulnerability of soil to detachment and transport driven by raindrops and runoff. The soil erodibility factor K varies spatially according to variations of some soil properties on the surface. The objective of this study was to quantify the soil erodibility factor K and get some information 〖JP2〗necessary for conservation advice on how to prevent further soil erosion. The study was carried out in the Danjiangkou Reservoir Region with an area of in 6 486 km2 in the upper reach of the Han River basin, China. Soil classifications are often used to derive K factor value at the large scale. In this study, another method of calculating the K factor value in a large area with no soil classifications map was attempted. Firstly, a total of 198 topsoil samples (20 cm) were collected in August, 2009, and their locations were recorded using GPS. Soil mechanical composition was measured following the method put forward by Kettler in the laboratory. Soil organic carbon content of the samples were determined by the K2Cr2O7H2SO4 digestion method. Erosion/Productivity Impact Calculator (EPIC) model was used to calculate the soil erodibility factor K index value with soil property data obtained from the laboratory analysis. Then the soil erodibility factor K index value of the sampling sites was obtained. Secondly, the Ordinary Kriging interpolation module of the ARCGIS was applied to map K value in the study area. Then the K factor value was categorized into five classes. The results showed that the K value ranges between 0022 4~0046 8 t·hm2·h/hm2·MJ·mm, and the average K value was 0034 8 t·hm2·h/hm2·MJ·mm with a standard deviation of 0004 7, consistent with the estimates from previous studies in yellowbrown soil in China. There was certain spatial variation coefficient (CV) in the K value of the study area, but it was not too large (1351%). Most of the study areas (account for 9172%) belongs to medium susceptibility to erosion soil (0026 4<K<0046 1). The area of low K factor value (K≤0026 4) (difficult to erosion) accounts for 796% and the area of high K factor value (K≥0046 1) (easy to erosion) only accounts for 033%. Spatially, there are greater values of K factor in the east than the west of the study area. Typically, there are larger K factor values in cultivated lands and they vary with cultural practices. Most of the west of the study area is covered with broadleaf forests and broadleaf and coniferous mixed forests with relatively high content of organic matter; while in the east, most of the land is cultivated field with low content of organic matter, and this leads to increase in soil erodibility. Accordingly, the east should be the key harnessment areas. The study will help prioritize critical areas for soil erosion prevention measures.

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