居民感知视角下的湖南农村生活水资源系统脆弱性评价
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摘要
从居民感知视角出发研究农村生活水资源系统的脆弱性问题是不同于传统水资源脆弱性研究的一种新思路。结合传统水资源脆弱性的概念内涵和感知理论,提出农村生活水资源系统感知脆弱性的概念,构建基于居民感知的农村生活水资源系统脆弱性评价指标体系,以湖南省5大地理单元、22个行政村为研究对象,运用模糊综合评价法对湖南省的农村生活水资源系统的感知脆弱性进行定量评价。结果表明:湖南农村生活水资源系统的感知脆弱性整体上处于较低水平,脆弱性不明显;湖南农村生活水资源系统的感知脆弱性存在比较明显的区域分异性,湘中和湘西地区脆弱性最为显著,湘南和湘北两区脆弱性最不明显;用水系统和护水系统是湖南农村生活水资源系统脆弱性的主要贡献因素。5大地理区的脆弱性致脆因素差异明显,湘西地区以供水系统和护水系统的脆弱性较为明显;湘中地区的用水系统和供水系统相对最为脆弱;湘北、湘南和湘东地区三大系统发展比较均衡,均表现为低脆弱。
Completely different from the traditional research approach of water resource vulnerability,studies on the vulnerability of rural living water resource system from a new perspective of residents' perception has scientific meanings.Based on the concept and perception theory of traditional water resource vulnerability,this paper proposes the concept of vulnerability of rural living water resource system,and constructs an evaluation index system of vulnerability of rural living water resource system based on residents' perception.Taking 5 geographic units and 22 administrative villages in Hunan Province as examples,this paper quantitatively evaluates the perceived vulnerability of rural living water resource system in Hunan Province by using the fuzzy comprehensive evaluation method.Results show that:1) the overall level of the fragility sense of the domestic water source system is relatively low and the vulnerability is not obvious;2) the perceived vulnerability of rural water resource system in Hunan shows significant regional differences with the most obvious vulnerability in central and western Hunan and the least obvious in southern and northern Hunan;and 3) water use system and water protection system are the main contributors to the vulnerability of rural domestic water resource system in Hunan.There exist obvious differences in the driving factors of vulnerability among these 5 geographical regions:the vulnerability of the water supply system and water protection system in Xiangxi is more obvious,the water use system and water supply system in central Hunan are relatively fragile,and the three systems in northern Hunan,southern Hunan and eastern Hunan are relatively balanced with low vulnerability.
Completely different from the traditional research approach of water resource vulnerability,studies on the vulnerability of rural living water resource system from a new perspective of residents' perception has scientific meanings.Based on the concept and perception theory of traditional water resource vulnerability,this paper proposes the concept of vulnerability of rural living water resource system,and constructs an evaluation index system of vulnerability of rural living water resource system based on residents' perception.Taking 5 geographic units and 22 administrative villages in Hunan Province as examples,this paper quantitatively evaluates the perceived vulnerability of rural living water resource system in Hunan Province by using the fuzzy comprehensive evaluation method.Results show that:1) the overall level of the fragility sense of the domestic water source system is relatively low and the vulnerability is not obvious;2) the perceived vulnerability of rural water resource system in Hunan shows significant regional differences with the most obvious vulnerability in central and western Hunan and the least obvious in southern and northern Hunan;and 3) water use system and water protection system are the main contributors to the vulnerability of rural domestic water resource system in Hunan.There exist obvious differences in the driving factors of vulnerability among these 5 geographical regions:the vulnerability of the water supply system and water protection system in Xiangxi is more obvious,the water use system and water supply system in central Hunan are relatively fragile,and the three systems in northern Hunan,southern Hunan and eastern Hunan are relatively balanced with low vulnerability.
引文
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[25]赵红玲,易琦,陈俊旭,等.基于熵权的玉溪市水资源脆弱性及其时空异质性研究[J].水电能源科学,2017,35(9):37-41.Zhao H L,Yi Q,Chen J X.Vulnerability assessment of water resources and its temporal and spatial heterogeneity in Yuxi City based on Entropy-weight method[J].Water Resources and Power,2017,35(9):37-41.
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[2]Kavouri K,Plagnes V,Tremoulet J,et al.PaPRIKa:A method for estimating karst resource and source vulnerability:Application to the Ouysse karst system[J].Hydrogeology Journal,2011,19(2):339-353.
[3]Mosuro G O,Omosanya K O,Bayewu O O.Assessment of groundwater vulnerability to leachate infiltration using electrical resistivity method[J].Applied Water Science,2017,7(5):2195-2207.
[4]Ravbar N,Goldscheider N.Comparative application of four methods of groundwater vulnerability mapping in a Slovene karst catchment[J].Hydrogeology Journal,2009,17(3):725-733.
[5]Saidi S,Bouri S,Dhia H B.Groundwater vulnerability and risk mapping of the Hajeb-jelma aquifer(Central Tunisia)using a gisbased DRASTIC model[J].Environmental Earth Sciences,2010,59(7):1579-1588.
[6]Kovarik J L,Beynen P E,Niedzielski M A.Groundwater vulnerability mapping for a sub catchment of the Rio La Venta watershed,Chiapas,Mexico[J].Environmental Earth Sciences,2017,76(8):797.DOI:10.1007/s12665-017-7113-8.
[7]廖曼,闫雅妮,郑倩琳,等.淮河流域平原区浅层地下水硝酸盐特殊脆弱性评价[J].南京大学学报(自然科学),2016,52(1):86-95.Liao M,Yan Y N,Zheng Q L,et al.Study on specific vulnerability of nitrate in shallow groundwater in Huai River plain area[J].Journal of Nanjing University(Natural Sciences),2016,52(1):86-95.
[8]奚旭,张新长,孙才志,等.不确定性条件下的下辽河平原地下水脆弱性评价及空间分布软区划[J].地理科学,2017,37(9):1439-1448.Xi X,Zhang X C,Sun C Z,et al.Assessment and soft zoning of groundwater vulnerability in the lower reach of the Liaohe river plain under uncertainty condition[J].Scientia Geographica Sinica,2017,37(9):1439-1448.
[9]姜桂华,王文科,乔小英,等.关中盆地地下水特殊脆弱性及其评价[J].吉林大学学报(地球科学版),2009,39(6):1106-1110.Jiang G H,Wang W K,Qiao X Y,et al.Groundwater special vulnerability and its assessment in Guanzhong basin[J].Journal of Jilin University(Earth Science Edition),2009,39(6):1106-1110.
[10]李宝兰,杨绍南,颜秉英.辽宁省中南部分城市地下水脆弱性评价[J].地下水,2009,31(2):28-32.Li B L,Yang S N,Yan B Y.Ground water vulnerability assessment in some cities located in mid-southern of Liaoning Province[J].Groundwater,2009,31(2):28-32.
[11]Alderwish A,Al-Eryani M.An approach for assessing the vulnerability of the water resources of Yemen to climate change[J].Climate Research,1999,12(3):85-89.
[12]Graaf R,Giesen N,Ven F.Alternative water management options to reduce vulnerability for climate change in the Netherlands[J].Natural Hazards,2009,51(3):407-422.
[13]Hamouda M A,Nour El-Din M M,Moursy F I.Vulnerability assessment of water resources systems in the Eastern Nile Basin[J].Water Resource Manage,2009,23(13):2697-2725.
[14]Sullivan C A.Quantifying water vulnerability:A multidimensional approach[J].Stochastic Environmental Research and Risk Assessment,2011,25(4):627-640.
[15]刘绿柳.水资源脆弱性及其定量评价[J].水土保持通报,2002,22(2):41-44.Liu L L.Concept and quantitative assessment of vulnerability of water resource[J].Bulletin of Soil and Water Conservation,2002,22(2):41-44.
[16]杨燕舞,张雁秋.水资源的脆弱性及区域可持续发展[J].苏州城建环保学院学报,2002,15(4):85-88.Yang Y W,Zhang Y Q.Water resources vulnerabilities and regional sustainable development[J].Suzhou Institute of Urban Construction and Environment Protection,2002,15(4):85-88
[17]邹君,杨玉蓉,田亚平,等.南方丘陵区农业水资源脆弱性概念与评价[J].自然资源学报,2007,22(2):302-310.Zou J,Yang Y R,Tian Y P,et al.Concept and assessment on vulnerability of agricultural water resource in hilly area of southern China[J].Journal of Natural Resources,2007,22(2):302-310.
[18]邹君,刘兰芳,田亚平,等.地表水资源的脆弱性及其评价初探[J].资源科学,2007,29(1):92-98.Zou J,Liu L F,Tian Y P,et al.Concept and quantitative assessment of vulnerability of surface water resources[J].Resources Science,2007,29(1):92-98.
[19]周奉,苏维词,郑群威.基于DPSIR模型的黔中地区水资源脆弱性评价研究[J].节水灌溉,2018(8):59-65.Zhou F,Su W C,Zheng Q W.Vulnerability assessment of water resources in central areas of Guizhou Province based on DPSIRmodel[J].Water Saving Irrigation,2018(8):59-65.
[20]周念清,赵露,沈新平,等.基于压力驱动模型评价长株潭地区水资源脆弱性[J].同济大学学报(自然科学版),2013,41(7):1061-1066.Zhou N Q,Zhao L,Shen X P,et al.A DPSIR Model for vulnerability assessment of system in Chang-Zhu-Tan area[J].Journal of Tongji University(Natural Science),2013,41(7):1061-1066.
[21]刘倩倩,陈岩.基于粗糙集和BP神经网络的流域水资源脆弱性预测研究--以淮河流域为例[J].长江流域资源与环境,2016,25(9):1317-1327.Liu Q Q,Chen Y.Vulnerability prediction of basin water resources based on rough set and BP neural network:A case of Huaihe basin[J].Resources and Environment in the Yangtze Basin,2016,25(9):1317-1327.
[22]曾建军,史正涛,刘新有,等.基于集对分析的云南高原盆地城市水源地脆弱性评价[J].长江流域资源与环境,2014,23(7):1080-1086.Zeng J J,Shi Z T,Liu X Y,et al.Vulnerability assessment on urban water sources area in plateau basin of Yunnan based on set pair analysis[J].Resources and Environment in the Yangtze Basin,2014,23(7):1080-1086.
[23]史正涛,曾建军,刘新有,等.基于模糊综合评判的高原盆地城市水源地脆弱性评价[J].冰川冻土,2013,35(5):1276-1282.Shi Z T,Zeng J J,Liu X Y,et al.Vulnerability assessment on urban water sources area in a plateau basin based on fuzzy comprehensive evaluation method[J].Journal of Glaciology and Geocryology,2013,35(5):1276-1282.
[24]邹君,郑文武,杨玉蓉.基于GIS/RS的南方丘陵区农村水资源系统脆弱性评价--以衡阳盆地为例[J].地理科学,2014,34(8):1010-1017.Zou J,Zheng W W,Yang Y R.Evaluation of water resources system vulnerability in southern hilly rural region based on the GIS/RS:Take Hengyang basin as an example[J].Scientia Geographica Sinica,2014,34(8):1010-1017.
[25]赵红玲,易琦,陈俊旭,等.基于熵权的玉溪市水资源脆弱性及其时空异质性研究[J].水电能源科学,2017,35(9):37-41.Zhao H L,Yi Q,Chen J X.Vulnerability assessment of water resources and its temporal and spatial heterogeneity in Yuxi City based on Entropy-weight method[J].Water Resources and Power,2017,35(9):37-41.
[26]苏贤保,李勋贵,刘巨峰,等.基于综合权重法的西北典型区域水资源脆弱性评价研究[J].干旱区资源与环境,2018,32(3):112-118.Sun X B,Li X G,Liu J F,et al.Vulnerability assessment of water resources in the northwest typical area based on comprehensive weighting method[J].Journal of Arid Land Resources and Environment,2018,32(3):112-118.
[27]李智飞,门宝辉,张士锋,等.河西走廊地区狭义/广义水资源脆弱性对比研究[J].干旱区地理,2014,37(5):939-947.Li Z F,Men B H,Zhang S F,et al.A comparative study of narrow/general water resources vulnerability in Hexi Corridor region[J].Arid Land Geography,2014,37(5):939-947.
[28]夏军,石卫,雒新萍,等.气候变化下水资源脆弱性的适应性管理新认识[J].水科学进展,2015,26(2):279-286.Xia J,Shi W,Luo X P,et al.Revisions on water resources vulnerability and adaption measures under climate change[J].Advances in Water Science,2015,26(2):279-286.
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