摘要
为了提升城市景区生态风险评估准确性,提出城市景区生态风险的蒙塔卡洛仿真方法。采用加权多尺度Retinex算法对城市景区遥感图像展开增强处理,获得增强后的城市景区遥感图像。从风险效应、风险受体和风险源三个角度出发,选取城市生态风险评估指标,引入熵值法获取指标对应的权重。通过极差标准化法归一化处理风险指标数据,建立蒙特卡洛仿真模型,并在模型中引入三角分布函数改进权重值域不合理的问题,利用蒙特卡洛模拟模型结合城市景区数据对城市景区的生态风险展开评估。仿真结果表明,所提方法采集的图像清晰度高,风险评估精度高,可准确划分景区的高风险区域和低风险区域。
In order to improve the accuracy of ecological risk assessment of urban scenic spots,this paper presented 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 s ensing images in urban scenic spots and thus to obtain the enhanced images.From the perspectives of risk effect,risk receptor and risk source,ecological ri sk assessment indicators were selected,and then the entropy method was int roduced to obtain the weights of indicators correspondingly.Moreover,the interquartile range normalization was us ed to normalize the risk data,thus building a Monte Carlo simulation model.Meanwhile,the triangle distribution fun ction was introduced into the model to improve the unreasonable weight range.Finally,based on the data of urban sce nic 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 areas of scenic spots,with high definition and high accuracy of risk assessment.
作者
马雨濛
信鹏圆
孟瑾
MA Yu-meng;XIN Peng-yuan;MENG Jin(School of Architecture,Tianjin Chengjian University,Hengshui Hebei 053000,China)
出处
《计算机仿真》
2024年第7期326-329,389,共5页
Computer Simulation
关键词
城市景区生态风险
加权多尺度算法
熵值法
蒙特卡洛仿真模型
Ecological risk of urban scenic spots
Weighted multiscale algorithm
Entropy weight method
Monte Carlo simulation model
