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Evaluation Of The Sustainable Utilization Of Land Resources Based On The Combined Weighting Topsis Model

Posted on:2022-03-29Degree:MasterType:Thesis
Country:ChinaCandidate:K ZengFull Text:PDF
GTID:2480306542498404Subject:Human Geography
Abstract/Summary:PDF Full Text Request
As the material basis for human survival and development,land not only provides the means of production for mankind,it is also the fundamental source of social productivity.With the rapid development of social economy and urbanization,land resources have suffered severe damage.As the material carrier of all human activities,the sustainable use of land resources is extremely important and has become an important content of the attention of current academic and government.At present,small-scale research on the sustainable utilization of land resources in counties is relatively scarce,which needs to be strengthened urgently.Taking each county in Guang'an City as the basic unit of research,this paper applies the sustainable theory to establish a set of evaluation index system suitable for the sustainable use of land resources in accordance with the actual situation of regional resources and environmen tal conditions by using AHP-Entropy Combination Weight Method to determine the index weights and the TOPSIS model to calculate the comprehensive index of the sustainable use of land resources.Besides,the paper analyzes the temporal and spatial changes of the sustainable use of land resources in each county(cities,districts)from 2009to 2018,and the balanced development degree of sustainable land resource utilization in each county(cities,districts)with coefficient of coordination degree,and diagnoses the obstacle factors of sustainable land resource utilization in each county(city,district)with the help of obstacle degree model.The results of the study show that:(1)from 2009 to 2018,the Comprehensive Index of sustainable use of land resources in all counties of Guang'an has fluctuated and overall increased,and the level of sustainable use of land resources has been continuously improved,but the change trend and growth speed of the comprehensive index of land resources sustainable use in each county are different.(2)from the perspective of time,the comprehensive index from the economic,social,and resource-environmental perspectives all show an upward trend.The comprehensive index from the economic perspective and the resource-environment perspective has shown a significant increase,while the comprehensive index from the social perspective has relatively small fluctuations;from a spatial point of view,regional differences are obvious and the range of the composite index of economic angle is getting bigger.The social comprehensive index shows the characteristics of high in the west and low in the east and the comprehensive index of resources and environment shows the characteristics of low in the middle and high on both sides.(3)through the analysis of the degree of coordination,from 2009 to 2018,all counties((cities,districts))as a whole had developed from uncoordinated to coordinated.The coefficient of coordination has increased,but the regional differences are obvious,characterized by a high middle and a low east and west,as a whole,presenting the characteristics of developing from disequilibrium to equilibrium.(4)The impact of each system on the improvement of the sustainable use of land resources in the city varies greatly,with significant changes over time.The obstacles from the perspective of resources and the environment have always been dominant.The main obstacles are forest coverage(C18)and per capita arable land(C19),per capita forest area(C21),land reclamation rate(C24),GDP growth rate(C6),land consumption per10,000 yuan of GDP(C2).From the perspective of counties(cities,districts),there are common obstacles,such as,GDP growth rate(C6),forest coverage rate(C18),land consumption per 10,000 yuan of GDP(C2),and per capita forest area(C21).
Keywords/Search Tags:land resources, sustainability, AHP-Entropy combined weight method, TOPSIS model, coordination coefficient, obstacle degree mode
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