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Evaluation Of Comprehensive Land Carrying Capacity Based On BP Neural Network

Posted on:2019-09-01Degree:MasterType:Thesis
Country:ChinaCandidate:Z L WangFull Text:PDF
GTID:2428330599954209Subject:Land Resource Management
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This paper constructs the evaluation index system of comprehensive land carrying capacity of Yangquan City,and uses BP neural network to construct the evaluation model of comprehensive land carrying capacity of Yangquan City.The comprehensive bearing capacity of land and natural carrying capacity of land and social carrying capacity of land in Yangquan City from 2006 to 2015,Land economic carrying capacity is evaluated and graded;the entropy weight matter element model is compared with its experimental results to prove the scientific application of BP neural network in the evaluation of land comprehensive bearing capacity;using principal component analysis to explore the land integration of Yangquan City The indicator that has the greatest impact on bearing capacity.This paper evaluates the problems existing in the land bearing of Yangquan City,and then discusses the suggestions and measures to improve the comprehensive bearing capacity of Yangquan City.Through research,the following conclusions are drawn:(1)In terms of comprehensive land carrying capacity,the comprehensive land bearing function of Yangquan City improved during 2006-2015,from the severely fragile development in 2006 to the moderate vulnerability in 2015.The natural bearing capacity of Yangquan City in 2006 and 2007 was severely fragile and developed to be less vulnerable in 2015.The natural carrying capacity of land has developed from Grade I to Grade IV;the land economic carrying capacity of Yangquan City has also been developed from the severely fragile development in 2006 and 2007 to the heavier and weaker in 2015;the level of land social carrying capacity in Yangquan City has gradually increased,from 2006,The severely fragile development in 2007 was less vulnerable in 2015.(2)There are 9 research factors to promote the development of comprehensive land carrying capacity in Yangquan City,namely,per capita GDP,resident unemployment rate,economic growth rate,education expenditure as a proportion of total fiscal expenditure,urbanization rate,total grain output,and effective irrigated area.The economic expenditure of the people's livelihood and the proportion of the total fiscal expenditure and the level of household consumption are mainly the economic bearing and social carrying indicators;there are mainly six research factors that hinder the development of comprehensive land carrying capacity in Yangquan City,namely the per capita cultivated land area and the forest coverage rate.The per capita water resources,the air quality reached the second grade or above,the proportion of the whole year,the natural population growth rate and land use,mainly the natural carrying indicators.(3)There are 10 evaluation factors that have a great influence on the evaluation results.Among them,the indicators that promote the role are: effective irrigated area ratio,unemployment rate,economic growth rate,education expenditure as a proportion of total fiscal expenditure,urbanization rate,total grain output,per capita GDP,and fiscal expenditure of the people's livelihood as a proportion of total fiscal expenditure..The indicators that have a hindrance effect are forest coverage and air quality,which account for more than two grades.
Keywords/Search Tags:Land bearing capacity, BP neural network, Neurons, Evaluation, Yangquan
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