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Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China

机译:北京的情景模拟与土地利用/覆被变化的预测

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Land use and land cover (LULC) models are essential for analyzing LULC change and predicting land use requirements and are valuable for guiding reasonable land use planning and management. However, each LULC model has its own advantages and constraints. In this paper, we explore the characteristics of LULC change and simulate future land use demand by combining a CLUE-S model with a Markov model to deal with some shortcomings of existing LULC models. Using Beijing as a case study, we describe the related driving factors from land-adaptive variables, regional spatial variables and socio-economic variables and then simulate future land use scenarios from 2010 to 2020, which include a development scenario (natural development and rapid development) and protection scenarios (ecological and cultivated land protection). The results indicate good consistency between predicted results and actual land use situations according to a Kappa statistic. The conversion of cultivated land to urban built-up land will form the primary features of LULC change in the future. The prediction for land use demand shows the differences under different scenarios. At higher elevations, the geographical environment limits the expansion of urban built-up land, but the conversion of cultivated land to built-up land in mountainous areas will be more prevalent by 2020; Beijing, however, still faces the most pressure in terms of ecological and cultivated land protection.
机译:土地利用和土地覆盖(LULC)模型对于分析LULC的变化和预测土地利用需求至关重要,对于指导合理的土地利用规划和管理非常有用。但是,每个LULC模型都有其自身的优势和约束。在本文中,我们通过结合CLUE-S模型和马尔可夫模型来探索土地利用,土地利用变化的特征,并模拟未来的土地利用需求,以解决现有土地利用和土地利用变化模型的不足。以北京为例,我们从土地适应变量,区域空间变量和社会经济变量描述了相关的驱动因素,然后模拟了2010年至2020年的未来土地利用情景,其中包括发展情景(自然发展和快速发展)。 )和保护方案(生态和耕地保护)。结果表明,根据Kappa统计数据,预测结果与实际土地使用状况之间具有良好的一致性。耕地向城市建成区的转化将构成土地利用,土地利用变化的未来变化的主要特征。土地利用需求的预测表明了不同情况下的差异。在更高的海拔地区,地理环境限制了城市建成区土地的扩张,但是到2020年,山区的耕地向建成区土地的转化将更加普遍。然而,北京在生态和耕地保护方面仍然面临最大压力。

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