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Suitability evaluation of urban construction land based on geo-environmental factors of Hangzhou, China

机译:基于地球环境因素的杭州市建设用地适宜性评价

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Suitability evaluation of urban construction land based on geo-environmental factors is the process of determining the fitness of a given tract of land for construction. This process involves a consideration of the geomorphology, geology, engineering geology, geological hazards, and other geological factors and is the basis of urban construction land planning and management. With the support of Geographic Information Systems (GIS), grid analysis, and geo-spatial analysis techniques, four factor groups comprising nine separate subfactors of geo-environmental attributes were selected to be used in the evaluation of the suitability level for construction land in Hangzhou. This was based on K-means clustering and back-propagation (BP) neural network methods due to their advantages in fast computing, unique adaptive capacity, and self-organization. Simultaneously, the evaluation results based on K-means clustering and BP neural network were compared and analyzed, and the accuracy evaluation was set. The results showed that the geo-environmental suitability evaluation results of construction land based on K-means clustering and BP neural network were similar in terms of the distribution and scale of construction land suitability level. At the same time, the results of the two evaluation methods were consistent with the variability in suitability level, engineering geology, and hydrogeology of Hangzhou. The results also showed that the real advantage of the methods proposed in this paper lies in their capacity to streamline the mapping process and to ensure that the results are consistent throughout. The suitability level of the urban construction land based on the geo-environment in Hangzhou was divided into four construction sites: land for building super high-rise and high-rise buildings, land for building multistorey buildings, land for low-rise buildings, and nonbuilding land. The results of the suitability evaluation for each category will provide a scientific basis for decision-making in urban development in Hangzhou.
机译:基于地质环境因素的城市建设用地适宜性评价是确定给定建设用地适宜性的过程。这个过程涉及到地貌,地质,工程地质,地质灾害和其他地质因素,是城市建设用地规划和管理的基础。在地理信息系统(GIS),网格分析和地理空间分析技术的支持下,选择了包括9个地理环境属性子因子的四个因子组,用于评估杭州市建设用地的适宜性水平。这是基于K均值聚类和反向传播(BP)神经网络方法的,因为它们在快速计算,独特的自适应能力和自组织方面具有优势。同时,比较和分析了基于K均值聚类和BP神经网络的评估结果,并进行了精度评估。结果表明,基于K-均值聚类和BP神经网络的建设用地地质环境适宜性评价结果在建设用地适宜性水平的分布和规模上是相似的。同时,两种评价方法的结果均与杭州市适宜水平,工程地质和水文地质的变化规律相吻合。结果还表明,本文提出的方法的真正优势在于其简化映射过程并确保结果始终一致的能力。根据杭州市的地质环境,城市建设用地的适宜程度分为四个建设用地:超高层和高层建筑用地,多层建筑用地,低层建筑用地,非建筑用地。每个类别的适宜性评估结果将为杭州城市发展的决策提供科学依据。

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