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Scenario-based modelling for urban sustainability focusing on changes in cropland under rapid urbanization: A case study of Hangzhou from 1990 to 2035

机译:基于场景的城市可持续性建模,关注快速城市化下的农田变化:以1990年至2035年的杭州为例

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China is undergoing rapid urbanization, which has brought great pressure on croplands throughout the country, especially in fast developing cities, such as Hangzhou. In this study, an attempt was made to monitor and model the cropland dynamics of Hangzhou from 1990 to 2035. The spatial-temporal changes in the cropland were discussed based on the land cover maps along with urban-rural gradient analysis. After understanding the spatial-temporal patterns of cropland changes, the cellular automata-Markov model was employed using the historical land cover maps and other explanatory data to perform a scenario-based simulation. Accordingly, three scenarios, namely spontaneous scenario (SS), protected area ensuring scenario (PAES), and optimal agriculture developing scenario (OADS), were designed for simulating the cropland distribution in 2035. The monitoring results showed that during 1990-2015, the cropland area decreased 1512.46 km(2) under rapid urbanization. Areas at a distance of 12 km from the city center experienced maximum cropland loss. Among all the spatial metrics, aggregation index of the cropland exhibited the highest correlation with the distance to the city center (r = 0.77 in 2015), thereby suggesting an obvious trend in aggregation along the urban-rural gradient. The modelling results reported that under PAES and OADS, the study area could gain 81.76 km(2) and 255.14 km(2) more cropland, respectively, than that under SS in 2035. Thus, policies applied in PAES and OADS would be effective for cropland protection. (C) 2019 Elsevier B.V. All rights reserved.
机译:中国正经历着快速的城市化进程,这给全国的耕地带来了巨大压力,尤其是在快速发展的城市,例如杭州。本研究试图监测和模拟1990年至2035年杭州市的耕地动态。基于土地覆盖图和城乡梯度分析,讨论了耕地的时空变化。在了解了耕地变化的时空格局之后,使用了元胞自动机-马尔可夫模型,它使用了历史土地覆盖图和其他解释性数据来进行基于情景的模拟。因此,设计了三种情景,即自然情景(SS),保护区确保情景(PAES)和最佳农业发展情景(OADS),以模拟2035年的耕地分布。监测结果表明,在1990-2015年期间,快速城市化进程中农田面积减少了1512.46 km(2)。距市中心12公里的地区遭受的农田损失最大。在所有空间指标中,耕地的聚集指数与到市中心的距离具有最高的相关性(2015年r = 0.77),这表明沿城乡梯度的聚集趋势明显。建模结果表明,在2035年,与PSS和OADS相比,研究区域可分别增加81.76 km(2)和255.14 km(2)的耕地。因此,在PAES和OADS中应用的政策对于耕地保护。 (C)2019 Elsevier B.V.保留所有权利。

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