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向家坝工程扰动区植被恢复土壤质量评价
引用本文:赵冰琴,夏栋,夏露,夏振尧,许文年.向家坝工程扰动区植被恢复土壤质量评价[J].中国环境科学,2020,40(3):1224-1234.
作者姓名:赵冰琴  夏栋  夏露  夏振尧  许文年
作者单位:1. 三峡大学土木与建筑学院, 湖北 宜昌 443002; 2. 三峡大学水利与环境学院, 湖北 宜昌 443002
基金项目:国家重点研发计划项目(2017YFC0504902);湖北省技术创新专项重大项目(2017ACA189);湖北省自然科学基金资助重点实验室项目(2016CFA085);国家自然科学基金资助项目(51678348,51979147,51708333);长江科学院开放研究基金资助项目(CKWV2019763/KY)
摘    要:以向家坝工程扰动区6种植被恢复模式下的土壤为研究对象,综合考虑表征土壤物理、化学和生物特性的25个土壤指标,利用敏感性分析和最小数据集方法进行土壤质量综合评价.结果表明:基于敏感性分析和最小数据集的土壤质量综合评价模型均能有差别的反映不同植被恢复模式对土壤质量和功能的影响;加权算法下基于最小数据集所计算土壤质量综合评价指数(SQI-MWA)能更敏感的反映出植被恢复措施对土壤质量的影响;有机质、全磷和多酚氧化酶能更好反映土壤质量受不同植被恢复方式的影响差异,推荐作为反映向家坝工程扰动区土壤质量的最优指标组合;土壤质量表现为:植被混凝土样地>厚层基材样地>天然林样地>客土喷播样地>框格梁样地>弃渣地.

关 键 词:土壤质量  敏感性分析  最小数据集  植被恢复模式  向家坝  
收稿时间:2019-08-01

Assessment of vegetation restoration soil quality in disturbed area in Xiangjiaba Hydropower Project
ZHAO Bing-qin,XIA Dong,XIA Lu,XIA Zhen-yao,XU Wen-nian.Assessment of vegetation restoration soil quality in disturbed area in Xiangjiaba Hydropower Project[J].China Environmental Science,2020,40(3):1224-1234.
Authors:ZHAO Bing-qin  XIA Dong  XIA Lu  XIA Zhen-yao  XU Wen-nian
Institution:1. College of Civil Engineering & Architecture, China Three Gorges University, Yichang 443002, China; 2. College of Hydraulic & Environmental Engineering, China Three Gorges University, Yichang 443002, China
Abstract:In this study, soils from 6vegetation restoration modes in the disturbed areas in Xiangjiaba hydropower project were collected, and 25 soil indicators representing soil physical, chemical, and biological characteristics were used to comprehensively evaluate the soil quality by means of sensitivity analysis and minimum data set method. The comprehensive evaluation models of soil quality based on sensitivity analysis and the minimum data set can reflect the impacts of different vegetation restoration modes on soil quality and function differently. The comprehensive evaluation index of soil quality based on the minimum data set under the weighted algorithm (SQI-MWA) can more sensitively reflect the impacts of vegetation restoration modes on soil quality. Organic matter, total phosphorus and polyphenol oxidase can better reflect the differences in the impacts of vegetation restoration modes on soil quality, and are recommended as the best combination of indicators that can reflect the soil quality of study areas in Xiangjiaba hydropower project. The vegetation concrete eco-restoration slope (VC) had the highest soil quality, followed by the thick layer base material spraying slope (TB), natural forest (NF), external-soil spray seeding slope (SS), frame beam filling soil slope (FB), and abandon slag slope (AS).
Keywords:soil quality  sensitivity analysis  minimum data set  vegetation restoration mode  Xiangjiaba hydropower project  
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