Monte Carlo Simulation of Ecological Risk in Urban Scenic Spots
In order to improve the accuracy of ecological risk assessment of urban scenic spots,this paper presen-ted a Monta Carlo simulation method of ecological risk in urban scenic spots.Firstly,the weighted multi-scale Retinex algorithm was adopted to enhance the remote sensing images in urban scenic spots and thus to obtain the enhanced images.From the perspectives of risk effect,risk receptor and risk source,ecological risk assessment indicators were selected,and then the entropy method was introduced to obtain the weights of indicators correspondingly.Moreover,the interquartile range normalization was used to normalize the risk data,thus building a Monte Carlo simulation mod-el.Meanwhile,the triangle distribution function was introduced into the model to improve the unreasonable weight range.Finally,based on the data of urban scenic spots,the model was used to evaluate the ecological risk of urban scenic spots.Simulation results show that the proposed method can accurately identify the high-risk and low-risk are-as of scenic spots,with high definition and high accuracy of risk assessment.
Ecological risk of urban scenic spotsWeighted multiscale algorithmEntropy weight methodMonte Carlo simulation model
NETL
NSTL
万方数据
