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Predicting Urban Expansion and Urban Land Use Changes in Nakhon Ratchasima City Using a CA-Markov Model under Two Different Scenarios

机译:在两种不同情况下,运用CA-Markov模型预测呵叻府的城市扩展和城市土地利用变化

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This study focused on the prediction of land-use changes in Nakhon Ratchasima city using a CA-Markov Model with GIS. Satellite images taken by Landsat-5 (1992), Landsat-7 (2002) and THEOS (2016) were used to predict land use in 2026. In 1992, the most proportion of land usage was built-up areas (47.76%) and followed by green areas (37.45%), bare lands (13.19%), and water bodies (1.60%), respectively. In 2002, the land use comprised built-up areas (56.04%), green areas (35.52%), bare lands (4.80%) and water bodies (3.63%). By 2016, urbanisation had changed the land use pattern, which comprised built-up areas (70.80%), green areas (20.78%), bare lands (6.37%), and water bodies (2.03%). The data were analysed using a change detection matrix and revealed an increase in built-up area at the expense of all other types, especially green areas. The results were in accordance with the prediction model created in two scenarios. Scenario 1 assumed city expansion following past trends, built-up areas (85.88%), green areas (11.67%), bare lands (2.15%), and water bodies (0.30%). Scenario 2 assumed city expansion in accordance with the national strategy, built-up areas (74.91%), green areas (15.77%), bare lands (8.48%), and water bodies (0.84%). The results indicated an expansion of built-up areas and a shrinking of green areas. In Scenario 2, urban expansion was less than in Scenario 1, and preserving the green area seemed more feasible due to governmental restrictions. The results indicated that planning the urbanisation according to the policies development plans, especially in specific areas, contributed to a more efficient urbanisation growth. The city should provide to promote the use of floor area ratio (FAR) and open space ratio (OSR) with urban planning measures as well as increasing the green areas.
机译:这项研究的重点是使用CA-Markov模型和GIS来预测呵叻府的土地利用变化。 Landsat-5(1992),Landsat-7(2002)和THEOS(2016)拍摄的卫星图像被用于预测2026年的土地利用。1992年,土地利用的最大部分是建成区(47.76%),其次是绿地(37.45%),光秃秃的土地(13.19%)和水体(1.60%)。在2002年,土地利用包括建成区(56.04%),绿地(35.52%),裸地(4.80%)和水体(3.63%)。到2016年,城市化改变了土地利用方式,包括建成区(70.80%),绿地(20.78%),裸地(6.37%)和水体(2.03%)。使用变化检测矩阵对数据进行了分析,结果显示建筑面积的增加以其他所有类型的代价为代价,尤其是绿色区域。结果与在两种情况下创建的预测模型一致。方案1假设城市按照过去的趋势进行扩张,包括建成区(85.88%),绿地(11.67%),裸地(2.15%)和水体(0.30%)。方案2假定城市根据国家战略进行扩张,建成区(74.91%),绿地(15.77%),裸地(8.48%)和水体(0.84%)。结果表明,建筑面积的扩大和绿色区域的缩小。在方案2中,城市扩张少于方案1,由于政府的限制,保护绿地似乎更加可行。结果表明,根据政策发展计划(特别是在特定地区)规划城市化有助于实现更加有效的城市化增长。该市应提供通过城市规划措施促进使用建筑面积比率(FAR)和开放空间比率(OSR)以及增加绿地的方法。

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