Land Eco-sensitivity Assessment of Ecological Cities Based on LUCC

LIU Yan-xu; LI Chun-yue; REN Zhi-yuan; HE Yan-fen

摘要

Land eco-sensitivity assessment is an important method in analyzing regional eco-environmental safety. This article is based on the studies of land use and coverage change (LUCC) with the interpretation result from Landsat images. It analyzes the land use degree of Shangluo City and gives the land eco-sensitivity classification, which includes soil and water conservation, disaster prevention and eco-environmental protection. Then an improved classification model is taken through the gray model and the variation coefficient. By comparing sensitivity in each level of land use degree change, the ecological recovery mode in study area is analyzed. The results show: the land use degree in Shangluo City has been declining from 1990 to 2009, with large area converted form cropland to forest, environment becomes better; the sensitivities of zoning based on the index level shows the medium sensitive area was largest. According to the variation coefficient gives the more reasonable proportion, the zoning was improved based on uncertainties. Because of the least amount of land use degradation area was taken in high sensitive region, it is considered that the ecological construction model in study area was still worth discussing. The healthy ecological development mode is proposed that low sensitive region should be protected while high sensitive region should receive high attention, so as to further improve the regional ecological security and improve the living environment efficiently.

机译：土地生态敏感性评估是分析区域生态环境安全的重要方法。本文基于对土地利用和覆盖变化（LUCC）的研究，并基于Landsat图像的解释结果。分析了商洛市的土地利用程度，给出了土地生态敏感性分类，包括水土保持，防灾和生态环境保护。然后通过灰色模型和变异系数获得改进的分类模型。通过比较各个土地利用程度变化的敏感性，分析了研究区的生态恢复模式。结果表明：商洛市土地利用程度从1990年到2009年呈下降趋势，大面积由耕地退耕还林，环境得到改善。基于指标水平的分区敏感性显示中等敏感区域最大。根据变化系数给出的更合理的比例，基于不确定性改进了分区。由于高敏感区土地利用退化面积最小，因此研究区的生态建设模式值得探讨。提出了保护低敏感区，高度重视高敏感区的健康生态发展模式，以进一步改善区域生态安全，有效改善生活环境。

Land Eco-sensitivity Assessment of Ecological Cities Based on LUCC

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