首页 | 本学科首页   官方微博 | 高级检索  
     

基于ESAI的黄土高原荒漠化风险评估
引用本文:张建香,张多勇,刘万锋,胡爱萍,王东,胡剑桥. 基于ESAI的黄土高原荒漠化风险评估[J]. 水土保持通报, 2017, 37(2): 339-344. DOI: 10.13961/j.cnki.stbctb.2017.02.051
作者姓名:张建香  张多勇  刘万锋  胡爱萍  王东  胡剑桥
作者单位:1. 陇东学院土木工程学院,甘肃庆阳745000;甘肃省高校黄土的工程性质及工程应用省级重点实验室,甘肃庆阳745000;2. 庆阳市荒漠化防治研究中心,甘肃庆阳,745000;3. 陇东学院土木工程学院,甘肃庆阳,745000
基金项目:国家自然科学基金项目“清代同治以来黄土高原马莲河流域荒漠化风险评估与防治研究”(31460090);2015年甘肃省社科规划项目(YB095);甘肃省社科规划项目(14YB108);西峰区科技局科技计划项目(XK2016-06);庆阳市科技局青年科技基金项目(ZJ2014-08);甘肃省哲学社会科学规划项目(YB093)
摘    要:[目的]对黄土高原荒漠化风险进行评估,为黄土高原生态环境的恢复、建设和保护提供科学依据。[方法]通过收集黄土高原的地形、气候、植被、土壤以及社会经济等方面的数据,借助RS和GIS平台,实现黄土高原荒漠化风险评估的空间化和数字化,在此基础上分析荒漠化的成因,构建荒漠化风险评价指标体系,建立基于环境敏感性区指标(ESAI)的荒漠化风险评估模型,分析荒漠化风险程度的空间格局,探索黄土高原不同区域荒漠化形成的主要原因。[结果](1)基于土壤、气候、植被3种要素的环境敏感区生物物理指标显示:黄土高原大约1/4的区域(25.2%)为高风险区,属于严重荒漠化,几乎2/3的区域(62.8%)是轻微荒漠化,11.5%的地区为潜在荒漠化,只有0.5%的地区无荒漠化现象;(2)加入人类诱发因素后,改变了黄土高原荒漠化风险区的原有格局。其中,极低、低度和极高度敏感区减少了5.6%,1.1%和3.8%;与此同时,较低和较高度敏感区增加了4.4%和4.5%。[结论](1)该模型能很好地说明黄土高原荒漠化风险的空间分布格局,其荒漠化程度由西北向东南地区逐渐减弱;(2)人类活动已经在一定程度上打破了长期稳定的自然生态系统,并且缩小了不同程度荒漠化之间的差距。

关 键 词:荒漠化  环境敏感区指标(ESAI)  地理信息系统(GIS)  黄土高原
收稿时间:2016-03-25
修稿时间:2016-07-28

ESAI Based Assessment of Desertification Risk in Loess Plateau
ZHANG Jianxiang,ZHANG Duoyong,LIU Wanfeng,HU Aiping,WANG Dong and HU Jianqiao. ESAI Based Assessment of Desertification Risk in Loess Plateau[J]. Bulletin of Soil and Water Conservation, 2017, 37(2): 339-344. DOI: 10.13961/j.cnki.stbctb.2017.02.051
Authors:ZHANG Jianxiang  ZHANG Duoyong  LIU Wanfeng  HU Aiping  WANG Dong  HU Jianqiao
Affiliation:College of Civil Engineering, Longdong University, Qingyang, Gansu 745000, China;Provincial Key Laboratory of Loess Engineering Properties and Applications in Gansu Province Universities, Qingyang, Gansu 745000, China,Research Center of Desertification Prevention at Qingyan City, Qingyang, Gansu 745000, China,College of Civil Engineering, Longdong University, Qingyang, Gansu 745000, China;Provincial Key Laboratory of Loess Engineering Properties and Applications in Gansu Province Universities, Qingyang, Gansu 745000, China,College of Civil Engineering, Longdong University, Qingyang, Gansu 745000, China,College of Civil Engineering, Longdong University, Qingyang, Gansu 745000, China and College of Civil Engineering, Longdong University, Qingyang, Gansu 745000, China
Abstract:[Objective] The risk of desertification was evaluated in Loess Plateau to provide scientific basis for the restoration, construction and protection of ecological environment. [Methods] Data of landform, climate, vegetation, soil and other socio-economic data were collected. Spatialization and digitalization were conducted using GIS and remote sensing. Upon which, desertification reasons were analyzed, and evaluation indices and risk assessment model were framed based on index of environmentally sensitive areas. [Results] (1) According to the bio-physical index in the framed model, under the scenario only considering natural factors as soil, climate and vegetation, 25.2% of Loess Plateau was determined as high desertification risk area, where desertification was worst; 62.8% and 11.5% of Loess Plateau were determined as moderate and potential desertification risk areas; only 0.5% was considered having no risk. (2) If both natural factors and human interference were considered, risk area changed: coverages of extreme low, low and extreme high risk levels decreased by 5.6%, 1.1% and 3.8%, respectively; whereas, coverages of lower and higher risk levels increased by 4.4% and 4.5%. [Conclusion] (1) The ESAI model can well explain the spatial distribution pattern of desertification risk of Loess Plateau, and the degree of desertification is gradually weakened from the northwest to the southeast. (2) Human activities have upset the long-term evolved stability of the natural eco-system to some extent, and have narrowed the gap between different risk levels of desertification.
Keywords:desertification  environmental sensitive areas index(ESAI)  geographic information systems(GIS)  Loess Plateau
本文献已被 CNKI 万方数据 等数据库收录!
点击此处可从《水土保持通报》浏览原始摘要信息
点击此处可从《水土保持通报》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号