基于生态信息价值及相关模型的城市发展与区划影响因素优先排序研究(以马赞达兰省为例)

Eisa Jokar Sarhangi, Mohmmadali Zangeneh Asadi
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摘要

背景与目的:确定区域的生态容量对于城市场所的合理选址具有重要意义。在分区中,这些是不同的因素。本研究试图利用生态城市发展模型、信息价值模型和相关性模型对这些因素进行排序,并绘制马赞达兰省分区图。方法:首先在Arc GIS环境中,以信息层的形式建立城市发展分区的有效生态因子,并利用城市发展生态模型确定各类别的范围。而在计算各因素中各类别权重时,采用的是信息价值模型,通过将各类别城市的面积与整个区域进行比较。采用上述模型,对每一层选取合适的权重,计算影响分区的因素权重。结果表明:高程0 ~ 400米和1200 ~ 1800米,坡度0 ~ 6%,向北,第四纪河流,降水量500 ~ 800毫米,湿度小于60%,植被密度30 ~ 60%,适宜城市发展。讨论与结论:土壤因素、岩性因素、高程因素、坡度因素、植被因素、湿度因素、降雨因素和坡向因素在城区选址和获得地形图时的优先级分别从高到低。对模型的评价表明,模型的信息值具有较高的准确性。
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Prioritization of the factors effective on urban development and zonation using Ecological and Information Value and Correlation Models (A case study in Mazandaran Province)
Background and Objective: It is important to determine the ecological capacity of zones for appropriate location of urban places. In zonation these are different factor. The study attempts prioritize these factors and to develop the zonation map of the province of Mazandaran using models of ecological urban development, information value and correlation. Method: At first, effective ecological factors in determining appropriate zonation for urban development in the form of information layers were developed in Arc GIS environment the urban development ecological model was used for determining range of each class. However for calculating the weight of classes in each factor model of information value was used through comparing areas of cities in each class with the whole area. The weight of factors effective on zonation was calculated using the appropriate weight for each layer and implementing the above mentioned models. Findings: Results show that elevation of 0-400 and 1200-1800 meters, slope of 0-6 percents, the northern direction, quaternary fluvial, precipitation of less than 500 and higher 800 millimeters, wet of less than 60 percents and vegetation density of 30 -60 percents are appropriate for urban development. Discussion and Conclusion: factors of soil, lithology, elevation, slope, vegetation, wet, rain and aspect received the highest to the lowest priority in location of urban areas and obtaining zonation map respectively. Evaluation of the models indicated the information value is of a higher accuracy.
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