基于熵权灰色关联法的高寒贫困山区生态脆弱性分析——以青海省海东市为例
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摘要
[目的]对青海省海东市6个区县的生态脆弱性进行定量研究,为缓解高寒贫困山区贫困状态、提高生态环境保护意识提供参考,为国家深入实施精准扶贫工作提供依据。[方法]选择经济发展状况、社会发展状况和自然生态环境状况3个评价维度构建高寒贫困山区生态脆弱性评价指标体系,运用熵权灰色关联法,对其进行定量分析与评价。[结果]互助县生态脆弱度为0.850 1,属微度脆弱等级,平安区生态脆弱度为0.712 8,属轻度脆弱等级,循化县生态脆弱度为0.557 3,属于中度脆弱等级,乐都、民和及化隆3区县生态脆弱度均小于0.45,属于重度脆弱等级。青海省海东市高寒贫困山区生态脆弱性评价指标的综合关联度从高到低的顺序依次为:互助县>平安区>循化县>化隆县>乐都区>民和县。[结论]自然生态环境状况和资源禀赋严重制约经济社会发展的同时,对生态脆弱性也有显著的影响。
[Objective] The ecological vulnerabilities of six counties and districts in Haidong City, Qinghai Province were quantitatively studied in order to alleviate poverty in high-cold and poverty-stricken mountainous areas, improve awareness of environment protection and provide basis for the implementation of national "precise poverty alleviation" policy. [Methods] The evaluation index system of ecological vulnerability in high-cold and poverty-stricken mountainous area was constructed from three dimensions of economic development, social development and the ecological environment. The index system was quantitatively analyzed and evaluated by the gray correlation method of entropy weight. [Results] The ecological vulnerability in Huzhu County was 0.850 1, which belonged to the slight vulnerability. The ecological vulnerability in Ping'an District was 0.712 8, belonging to light vulnerability level. The ecological vulnerability in Salar Autonomous County of Xunhua was 0.557 3, belonging to moderate vulnerability level. The vulnerabilities of ecological in Ledu, Minhe and Hualong, were less than 0.45, belonging to severe vulnerability level. The vulnerabilities of the six counties and districts in Haidong City were ranked as: Huzhu County > Ping'an District > Salar Autonomous County of Xunhua > Hualong County > Minhe County > Ledu County. [Conclusion] The ecological environment and the resource endowment not only seriously restrict the development of the social economy, but also have a remarkable impact on the ecological vulnerability.
[Objective] The ecological vulnerabilities of six counties and districts in Haidong City, Qinghai Province were quantitatively studied in order to alleviate poverty in high-cold and poverty-stricken mountainous areas, improve awareness of environment protection and provide basis for the implementation of national "precise poverty alleviation" policy. [Methods] The evaluation index system of ecological vulnerability in high-cold and poverty-stricken mountainous area was constructed from three dimensions of economic development, social development and the ecological environment. The index system was quantitatively analyzed and evaluated by the gray correlation method of entropy weight. [Results] The ecological vulnerability in Huzhu County was 0.850 1, which belonged to the slight vulnerability. The ecological vulnerability in Ping'an District was 0.712 8, belonging to light vulnerability level. The ecological vulnerability in Salar Autonomous County of Xunhua was 0.557 3, belonging to moderate vulnerability level. The vulnerabilities of ecological in Ledu, Minhe and Hualong, were less than 0.45, belonging to severe vulnerability level. The vulnerabilities of the six counties and districts in Haidong City were ranked as: Huzhu County > Ping'an District > Salar Autonomous County of Xunhua > Hualong County > Minhe County > Ledu County. [Conclusion] The ecological environment and the resource endowment not only seriously restrict the development of the social economy, but also have a remarkable impact on the ecological vulnerability.
引文
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[21] 白艳芬,马海州,张宝成,等.基于遥感和GIS技术的青海湖环湖地区生态环境脆弱性评价[J].遥感技术与应用,2009,24(5):635-641.
[22] 于伯华,吕昌河.青藏高原高寒区生态脆弱性评价[J].地理研究,2011,30(12):2289-2295.
[23] 韩林芝,邓强.我国农村贫困主要影响因子的灰色关联分析[J].中国人口·资源与环境,2009,19(4):88-94.
[24] 倪琳,李梦琴,游雪梅,等.基于熵权法的我国生态消费发展状况评价研究[J].生态经济,2015,31(9);80-84.
[25] 李学敏.青海省生态文明建设促进条例[N].青海日报,2015-1-27(9).
[2] Sachs J D,Reid W V.Investments toward sustainable development[J].Science,2006,312(5776):1002.
[3] 国务院扶贫开发领导小组办公室.中国农村扶贫开发纲要(2011-2020)干部辅导读本[M].北京:中国财政经济出版社,2012.
[4] 佟玉权,龙花楼.脆弱生态环境耦合下的贫困地区可持续发展研究[J].中国人口·资源与环境,2003,13(2):47-51.
[5] 张宁,张振兴,郭怀成.新疆和墨洛地区贫困与生态环境关系分析[J].中国人口·资源与环境,2001,11(52):57-59.
[6] 刘慧,叶尔肯·吾扎提.中国西部地区生态扶贫策略研究[J].中国人口·资源与环境,2013,23(10):52-58.
[7] 程静.农业干旱脆弱性与我国农村贫困的灰色关联分析[J].生态经济,2010(9):88-90,145.
[8] 张家其,吴宜进,葛咏,等.基于灰色关联模型的贫困地区生态安全综合评价:以恩施贫困地区为例[J].地理研究,2014,33(8):1457-1466.
[9] 贺祥,雄康宁.基于熵权灰色关联法的贵州岩溶山区农村贫困脆弱性分析[J].江苏农业科学,2014,42(3):376-381.
[10] 陈晓玲,曾永年,王慧敏.区域土地利用总体规划碳效应分析:以青海省海东市为例[J].中国人口·资源与环境,2015,25(5):31-34.
[11] 刘思峰,杨英杰,吴利丰,等.灰色系统理论及其应用[M].7版,北京:科学出版社,2014.
[12] 高明,吴雪萍.基于熵权灰色关联法的北京空气质量影响因素分析[J].生态经济,2017,33(3):142-147.
[13] 王才军,游泳,左太安,等.基于熵权灰色关联法的岩溶石漠化区土地质量评价:以毕节试验区为例[J].水土保持研究,2011,18(4):218-222.
[14] Shannon C E.A mathematical theory of communication [J].The Bell System Technical Journal,1948,27:379-423.
[15] 张少坤,付强,张少东,等.基于GIS与熵权的DRASCLP模型在地下水脆弱性评价中的应用[J].水土保持研究,2008,15(4):134-141.
[16] 贾艳红,赵军,南忠仁,等.基于熵权法的草原生态安全平价:以甘肃牧区为例[J].生态学杂志,2006,25(8):1003-1008.
[17] Mon Donlin,Cheng Chinghsue,Lin Jiannchern.Evaluating weapon system using fuzzy analytic hierarchy process based on entropy weight[J].Fuzzy Sets and Systems,1994,62(2):127-134.
[18] 邓聚龙.灰色系统综述[J].世界科学,1983(7):1-5.
[19] 郭秀云.灰色关联法在区域竞争力评价中的应用[J].决策参考,2004(11):54-59.
[20] 刘爱芹.山东省能源消费与工业经济增长的灰色关联分析[J].中国人口.资源与环境,2008,18(3):103-107.
[21] 白艳芬,马海州,张宝成,等.基于遥感和GIS技术的青海湖环湖地区生态环境脆弱性评价[J].遥感技术与应用,2009,24(5):635-641.
[22] 于伯华,吕昌河.青藏高原高寒区生态脆弱性评价[J].地理研究,2011,30(12):2289-2295.
[23] 韩林芝,邓强.我国农村贫困主要影响因子的灰色关联分析[J].中国人口·资源与环境,2009,19(4):88-94.
[24] 倪琳,李梦琴,游雪梅,等.基于熵权法的我国生态消费发展状况评价研究[J].生态经济,2015,31(9);80-84.
[25] 李学敏.青海省生态文明建设促进条例[N].青海日报,2015-1-27(9).