基于SRP模型的甘肃省白龙江流域生态环境脆弱性评价

齐姗姗; 巩杰; 钱彩云; 谢余初; 张影

doi:10.13961/j.cnki.stbctb.2017.01.040

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基于SRP模型的甘肃省白龙江流域生态环境脆弱性评价

试验研究

- 基于SRP模型的甘肃省白龙江流域生态环境脆弱性评价
- Assessment of Eco-environmental Vulnerability of Bailongjiang Watershed in Southern Gansu Province Based on SRP Model
- 水土保持通报 2017年37卷第1期页码：224-228
- 作者机构：
  
  1. 兰州大学资源环境学院西部环境教育部重点实验室,甘肃,兰州,730000
  2. 广西师范学院北部湾环境演变与资源利用教育部重点实验室,广西,南宁,530001
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“甘肃白龙江流域景观格局与生态系统服务功能时空变化研究”（4127199）
- DOI：10.13961/j.cnki.stbctb.2017.01.040
  中图分类号：
- 纸质出版：2017
- 稿件说明：
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齐姗姗, 巩杰, 钱彩云, 等. 基于SRP模型的甘肃省白龙江流域生态环境脆弱性评价[J]. 水土保持通报, 2017,37(1):224-228.

QI Shanshan, GONG Jie, QIAN Caiyun, et al. Assessment of Eco-environmental Vulnerability of Bailongjiang Watershed in Southern Gansu Province Based on SRP Model[J]. Bulletin of Soiland Water Conservation, 2017, 37(1): 224-228.
齐姗姗, 巩杰, 钱彩云, 等. 基于SRP模型的甘肃省白龙江流域生态环境脆弱性评价[J]. 水土保持通报, 2017,37(1):224-228. DOI： 10.13961/j.cnki.stbctb.2017.01.040.

QI Shanshan, GONG Jie, QIAN Caiyun, et al. Assessment of Eco-environmental Vulnerability of Bailongjiang Watershed in Southern Gansu Province Based on SRP Model[J]. Bulletin of Soiland Water Conservation, 2017, 37(1): 224-228. DOI： 10.13961/j.cnki.stbctb.2017.01.040.

摘要

[目的] 综合评估甘肃省白龙江流域生态环境脆弱性，为生态环境的恢复重建和可持续性管理提供理论参考。[方法] 基于生态敏感性—生态恢复力—生态压力度模型、层次分析法和GIS/RS软件等，通过计算生态环境脆弱性指数，将研究区生态环境脆弱性程度划分为微度脆弱、轻度脆弱、中度脆弱、重度脆弱和极度脆弱5个不同等级。[结果] 甘肃省白龙江流域中度和重度脆弱区域占研究区总面积比例较大，分别占研究区总面积的28.94%和22.76%。其中，重度与极度脆弱区集中分布在植被覆盖度较低，城镇化较快，工农业发展迅速且人类活动强度较强的流域中部。[结论] 研究区总体生态环境压力非常严峻，亟需研究其驱动机制及演变规律，以期为后续的生态恢复重建做准备。

Abstract

[Objective] The objective of the study is to provide theoretical support for ecological restoration and sustainable management in the future by comprehensive assessment of eco-environmental vulnerability in Bailongjiang watershed in Southern Gansu Province. [Methods] Based on ecological sensitivity-resilience-pressure model and characteristics of eco-environmental systems in Bailongjiang watershed in Southern Gansu

we used analytic hierarchy process(AHP) method to assess eco-environmental vulnerability with GIS/RS technology. According to the eco-environmental vulnerability index

the study area was classified into five levels: slight vulnerability(<0.38)

light vulnerability(0.38~0.44)

moderate vulnerability(0.44~0.50)

high vulnerability(0.50~0.57) and extreme vulnerability(>0.57). [Results] The moderately and highly vulnerable area accounted for 28.93% and 22.76% of the total area. Moreover

the highly and extremely vulnerable area was primarily distributed in the middle reaches of Bailongjiang watershed

which was characterized with low vegetation coverage

rapid urbanization and industry and agricultural development and frequent human activities. [Conclusion] The watershed is facing huge eco-environmental pressures. It is urgent to study the driving mechanism and evolution rules in order to provide support for ecological restoration and reconstruction in near future.

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references

Kelly P M, Adger W N. Theory and practice in assessing vulnerability to climate change and facilitating adaptation[J]. Journal of Climate Change, 2000,47(4):325-352.

Dow K. Exploring differences in our common future: The meaning of vulnerability to global environmental change[J]. Geoforum, 1992,23(3):417-436.

李鹤,张平宇.全球变化背景下脆弱性研究进展与应用展望[J].地理科学进展,2011,30(7):920-929.

韦晶,郭亚敏,孙林,等.三江源地区生态环境脆弱性评价[J].生态学杂志,2015,34(7):1968-1975.

Salvati L, Zitti M. Assessing the impact of ecological and economic factors on land degradation vulnerability through muitiway analysis[J]. Ecological Indicators, 2009,9(2):357-363.

Williams S E, Shoo L P, Isaac J L, et al. Towards an integrated framework for assessing the vulnerability of species to climate change[J]. PloS Biology, 2008,6(12):2621-2626.

叶正伟.基于生态脆弱性的淮河流域水土保持策略研究[J].水土保持通报,2007,27(3):141-145.

方樟,肖长来,梁秀娟,等.松嫩平原地下水脆弱性模糊综合评价[J].吉林大学学报:地球科学版,2007,37(3):546-550.

孙国军. BP人工神经网络在生态环境脆弱性评价方面的应用:以乌拉特前旗为例[J].西北师范大学学报:自然科学版,2012,48(5):105-108.

Wang Siyuan, Liu Jingshi, Yang Cunjian. Eco-environmental vulnerability evaluation in the Yellow River basin[J]. Pedosphere, 2008,18(2):171-182

Huang Pihui, Tsai J S, Lin W T. Using multiple-criteria decision-making techniques for eco-environmental vulnerability assessment: A case study on the Chi-Jia-Wan Stream watershed, Taiwan[J]. Environmental Monitoring and Assessment, 2010,168(1):141-158.

樊哲文,刘木生,沈文清,等.江西省生态脆弱性现状GIS模型评价[J].地球信息科学报,2009,11(2):202-208.

卢亚灵,颜磊,许学工.环渤海地区生态脆弱性评价及其空间自相关分析[J].资源科学,2010,32(2):303-308.

刘正佳,于兴修,李蕾,等.基于SRP概念模型的沂蒙山区生态环境脆弱性评价[J].应用生态学报,2011,22(8):2084-2090.

李永化,范强,王雪,等.基于SRP模型的自然灾害多发区生态脆弱性时空分异研究:以辽宁省朝阳县为例[J].地理科学,2015,35(11):1452-1459.

罗治敏.基于遥感信息的流域生态健康评价[D].北京:中国科学院研究生院(遥感应用研究所),2006.

吴磊.陕西秦岭山地生态脆弱性评价[D].西安:西北大学,2011.

杨斌,詹金凤,李茂娇.岷江上游流域环境脆弱性评价[J].国土资源遥感,2014,26(4):138-144.

王经民,汪有科.黄土高原生态环境脆弱性计算方法探讨[J],水土保持通报,1996,16(3):32-36.

雷波,焦峰,王志杰,等.延河流域生态环境脆弱性评价及其特征分析[J].西北林学院学报,2013,28(3):161-167.

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