Open AccessMarvellous “1” : A Spatio-temporal Model of Ecological Environment
Author(s) -
Zhilin Huang,
Shanshan Jiang,
Xin Wang,
Yujie Zhang
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/295/2/012087
Subject(s) - supply and demand , principal component analysis , variable (mathematics) , principal (computer security) , computer science , environmental economics , econometrics , environmental science , ecology , economics , mathematics , microeconomics , artificial intelligence , biology , mathematical analysis , operating system
Traditionally, most land-use projects do not take the impact of ecological degradation into account.The negative economic costs of land use change are substantial.To tackle these problems,in this paper,we established a spatio-temporal ecological environment model. First, we select the method of Principal Component Analysis(PCA) to screen out the tertiary time-related indicators which affect ecological environment, then adopt Weighted Average Algorithm (WAA) to calculate the weights of the secondary indicators.Meanwhile, make each feature quantity at the same level and get their weighted sum.When the exploitation of ecological resources is balanced with its carrying capacity, the weighted sum is tend to 1. Then we find the spatial variable,and introduce the ratio of supply and demand,which named supply-demand coefficient, and make up an equation with the weighted sum mentioned above.When the supply and demand of a region are balanced, the supply-demand coefficient mentioned above is equal to the weighted sum,which is also 1. When the supply is greater than the demand, both sides of the equation are greater than 1,at this time, excessive supply causes unnecessary economic costs. Finally, we use the Genetic Algorithm(GA)to evaluate the supply-demand coefficient, so as to adjust the environmental degradation caused by land development projects in time.