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Land-use change simulation and assessment of driving factors in the loess hilly region-a case study as Pengyang County

机译:黄土丘陵区土地利用变化模拟与驱动因子评估-以彭阳县为例

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摘要

The main objective of this study is to evaluate the land-use change and its relationship with its driving factors in the loess hilly region. In this study, a case study was carried out in Pengyang County. We set two land-use demand scenarios (a baseline scenario (scenario 1) and a real land-use requirement scenario (scenario 2)) during year 2001-2005 via assuming the effect of driving factors on land-use change keeps stable from 1993 to 2005. Two simulated land-use patterns of 2005 are therefore achieved accordingly by use of the conversion of land use and its effects model at small regional extent. Kappa analyses are conducted to compare each simulated land-use pattern with the reality. Results show that (1) the associated kappa values were decreased from 0.83 in 1993-2000 to 0.27 (in scenario 1) and 0.23 (in scenario 2) in 2001-2005 and (2) forest and grassland were the land-use types with highest commission errors, which implies that conversion of both the land-use types mentioned above is thernmain determinant of change of kappa values. Our study indicates the land-use change was driven by the synthetic multiply factors including natural and social-economic factors (e.g., slope, aspect, elevation, distance to road, soil types, and population dense) in 1993-2000 until "Grain for Green Project" was implemented and has become the dominant factor in 2001-2005.
机译:这项研究的主要目的是评估黄土丘陵区土地利用变化及其与驱动因素的关系。在这项研究中,在彭阳县进行了个案研究。通过假设驱动因素对土地利用变化的影响从1993年开始保持稳定,我们在2001-2005年设定了两个土地利用需求情景(基准情景(情景1)和实际土地需求情景(情景2))。到2005年。因此,通过在较小的区域范围内利用土地利用的转换及其影响模型,可以实现2005年的两种模拟土地利用模式。进行了Kappa分析,以将每种模拟的土地利用模式与实际情况进行比较。结果表明(1)相关的kappa值从1993-2000年的0.83降低到2001-2005年的0.27(在方案1中)和0.23(在方案2中),以及(2)森林和草地是土地利用类型最高的佣金误差,这意味着上述两种土地利用类型的转换是κ值变化的主要决定因素。我们的研究表明,在1993-2000年之前,土地利用的变化是由综合的多重因素驱动的,包括自然和社会经济因素(例如,坡度,纵横比,海拔,距道路的距离,土壤类型和人口密度),直到“ “绿色项目”已实施,并已成为2001-2005年的主导因素。

著录项

  • 来源
    《Environmental Monitoring and Assessment》 |2010年第4期|p.133-142|共10页
  • 作者单位

    Department of Land Resources Management,China Agricultural University, No.2 Yuanmingyuan Xi Lu, Haidian, Beijing 100193, China;

    Department of Land Resources Management,China Agricultural University, No.2 Yuanmingyuan Xi Lu, Haidian, Beijing 100193, China;

    Department of Land Resources Management,China Agricultural University, No.2 Yuanmingyuan Xi Lu, Haidian, Beijing 100193, China;

    Department of Land Resources Management,China Agricultural University, No.2 Yuanmingyuan Xi Lu, Haidian, Beijing 100193, China;

    Department of Environmental Sciences, Wageningen University, P.O. Box 37,6700 AA, The Netherlands;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    CLUE-S model; land-use change; driving factor; loess hilly region;

    机译:CLUE-S模型;土地利用变化;驱动因素黄土丘陵区;

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