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Study on the Quantitative Analysis of Environmental Quality in Rural of Shanyin County

Author: ShaoYun
Tutor: LiBin
School: University of North
Course: Environmental Engineering
Keywords: Index of environmental quality in rural areas Influencing factors Quantitative analysis
CLC: X820.2
Type: Master's thesis
Year: 2011
Downloads: 87
Quote: 0
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Abstract


This paper selected Sanin County, Shanxi Province as the study area, through the collection of basic data, maps and statistical data, conduct field surveys to obtain first-hand information, the use of eco-environmental quality index (EQI), hierarchical analysis, expert evaluation, analysis and methods such as regression analysis, from the rural environment quality index calculation and evaluation and the quality of the rural environment influencing factors quantitative analysis of quantitative analysis model of software development and verification instance Sanin County Environmental Quality, and draw the corresponding research Results: 1. Sanin County environmental quality index calculation and evaluation and this article in the People's Republic of China Environmental Protection Industry Standard HJ/T192-2006 technical standards, \(Trial) \The protected industry standard calculated HJ/T192-2006 ecological environment quality index (EQI), calculated Sanin County Environmental Quality Index (REI), quantitative calculation and evaluation and the quality of the rural environment, the quality of the rural environment quantitative research. Sanin County Environmental Factors Affecting the Quality of quantitative analysis model of software development more for Sanin County rural environment quality evaluation index system of indicators, there are certain difficulties in the acquisition of some of the indicators in some rural, rural environmental quality quantitative study bring some of the actual situation, on the basis of the actual survey and literature search, combined with Sanin County Environmental Quality Evaluation Index Weight Sanin County Environmental Quality and factors of relationship obtained Sanin County rural environment impact on the quality of factors, including: the per capita net income of rural residents, farmers' environmental awareness, the state capital investment, energy structure, village size, and quantitative research. Sanin County Rural Environmental Factors Affecting Quality of law through the SPSS statistical correlation analysis and regression analysis to establish quantitative analysis model, draw the per capita net income of rural residents is the most important factor of Sanin County Environmental Quality and the mathematical model is transformed into Visual Basic program quantitative study of the quality of the rural environment. Instance verify of Shanxi Province Sanin County daiyue Township summer Yaocun October 2009 and October 2010 survey data into the Sanin County Environmental Factors Affecting the Quality of quantitative analysis model, the outcome was 57.8 and 64.3, environmental quality has been significantly improved with the increase of per capita net income of rural residents. To further verify Sanin County Environmental Factors Affecting the Quality model, using survey data Sanin County Environmental Quality Evaluation Index obtained this year, the village's environmental quality index rose from 0.52 to 0.55. Environmental Impact factor quantitative model analysis results, environmental quality indicators the results of the evaluation and the village are basically the same, the quality of the rural environment impact factor model and rural environmental quality evaluation index system can achieve the quantitative study of the quality of the environment in rural areas, the establishment of Sanin County Environmental Factors Affecting the Quality model can facilitate the realization of the quantitative study of the quality of the environment in rural areas.

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CLC: > Environmental science, safety science > Environmental Quality Assessment and Environmental Monitoring > Analysis and Evaluation of Environmental Quality > General issues > Comprehensive evaluation of the quality of the environment
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