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Understanding the spatiotemporal variation of urban land expansion in oasis cities by integrating remote sensing and multi-dimensional DPSIR-based indicators

机译:通过结合遥感和基于DPSIR的多维指标来了解绿洲城市中城市土地扩展的时空变化

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摘要

Rapid urban land expansion not only stimulates socioeconomic development, but can lead to negative impacts that threaten regional food security, ecological construction, and sustainable urban development, including losses of cropland and habitats, the creation of housing bubbles, and reductions in biodiversity. Because these economic-socio-ecological problems are generally more serious in ecologically fragile areas, this study focuses on trends seen in Ganzhou District, a typical oasis city within the Heihe River Basin (HRB) in an arid-to-semi-arid area of China. We apply a remote-sensing (RS)-based method that incorporates 11 dimensional features of Thematic Mapper and Enhanced Thematic Mapper Plus (TM/ETM+) images to map changes in urban land, and also develop a series of multi-dimensional indicators within a drivers, pressures, states, impacts, and responses (DPSIR) framework to quantify urban land expansion. The results of this study show that the urban land area of Ganzhou District in 2016 had expanded by 394.43% from 1987 levels, from 1979.64 ha to 9787.86 ha. These increasing pressures, jointly driven by gross domestic product (GDP), urban population, cropland area, and the industrial structure indicator (ISI), have led to the worsening economic-socio-ecological states and impacts of urban land expansion. Specifically, between 1987 and 2016, expansion intensity (EIPI) and expansion rate pressure indicators (ERPI) increased from 60.27 ha/a to 520.88 ha/a, and from 3.04%/a to 10.21%/a, respectively. Thus, the state indicators of economic development (EDSI), population carrying capacity (FDSI), food security (FSSI), and ecological construction (ECSI) decreased by 2.21 × 103 USD/ha, 17.62 population/ha, 34.20, and 10.80, respectively. Moreover, the impact indicators of economic development (EDII), population carrying capacity (FDII), and food security (FSII) decreased by 150.68 × 103 USD/ha, 62.12 population/ha, and 27.31, respectively, while the ecological construction impact indicator (ECII) increased by 29.39 between 1997 and 2007 and decreased by 13.31 between 2007 and 2016. Data also show that the area and proportion of cropland and ecological land occupied by urban land expansion increased over time. We therefore propose a series of economic-socio-ecological responses to help limit urban sprawl and foster compact green cities. Measures include planning urban growth boundaries, revitalizing urban centers and brownfields, using and re-using urban land more efficiently, strengthening land regulations, curbing excessive cropland expansion, cultivating more urban green spaces, and optimizing the trade-offs and synergies between multiple conflicting dimensions.
机译:快速的城市土地扩张不仅刺激社会经济发展,而且可能导致负面影响,威胁区域粮食安全,生态建设和可持续城市发展,包括耕地和栖息地的损失,住房泡沫的产生以及生物多样性的减少。由于这些经济社会生态问题通常在生态脆弱地区更为严重,因此本研究着重研究在干旱至半干旱地区黑河流域(HRB)内典型的绿洲城市赣州地区的趋势。中国。我们采用基于遥感(RS)的方法,该方法结合了主题映射器和增强型主题映射器Plus(TM / ETM +)图像的11维特征,以绘制城市土地变化的地图,并在一个区域内开发了一系列多维指标驱动力,压力,状态,影响和响应(DPSIR)框架来量化城市土地扩张。研究结果表明,2016年赣州区城市土地面积从1987年的1979.64公顷增加到9787.86公顷,比1987年增长了394.43%。由国内生产总值(GDP),城市人口,耕地面积和工业结构指标(ISI)共同驱动的这些不断增加的压力已导致经济社会生态状况恶化以及城市土地扩张的影响。具体而言,在1987年至2016年期间,膨胀强度(EIPI)和膨胀率压力指标(ERPI)从60.27 ha / a增加到520.88 ha / a,从3.04%/ a增加到10.21%/ a。因此,经济发展(EDSI),人口承受能力(FDSI),粮食安全(FSSI)和生态建设(ECSI)的国家指标分别下降了2.21×103美元/公顷,17.62人口/公顷,34.20和10.80,分别。此外,经济发展(EDII),人口承载力(FDII)和粮食安全(FSII)的影响指标分别降低了150.68××103美元/公顷,62.12人口/公顷和27.31,而生态建设影响指标(ECII)在1997年至2007年期间增加了29.39,而在2007年至2016年之间减少了13.31。数据还显示,城市土地扩张所占用的农田和生态土地的面积和比例随着时间的推移而增加。因此,我们提出了一系列经济社会生态学应对措施,以帮助限制城市蔓延并培育紧凑型绿色城市。措施包括规划城市增长边界,振兴城市中心和棕地,更有效地使用和再利用城市土地,加强土地法规,遏制过度的农田扩张,培育更多的城市绿地以及优化多个相互冲突的维度之间的取舍和协同作用。

著录项

  • 来源
    《Ecological indicators》 |2019年第1期|23-37|共15页
  • 作者单位

    Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences|University of Chinese Academy of Sciences;

    Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences;

    Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences|University of Chinese Academy of Sciences|Center for Chinese Agricultural Policy Chinese Academy of Sciences;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Urbanization; Urban land use changes; Economic-socio-ecological indicators; Support vector machine; Sustainable urban development; Urban management and planning;

    机译:城市化;城市土地利用变化;经济社会生态指标;支持向量机;可持续城市发展;城市管理与规划;

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