Eco-environmental vulnerability assessment for large drinking water resource: a case study of Qiandao Lake Area,China

doi:10.1007/s11707-014-0472-5

Front. Earth Sci.

2015, Vol. 9

Issue (3) : 578-589 https://doi.org/10.1007/s11707-014-0472-5

RESEARCH ARTICLE

Eco-environmental vulnerability assessment for large drinking water resource: a case study of Qiandao Lake Area,China

Qing GU¹, Jun LI^1,², Jinsong DENG^1,²(

), Yi LIN¹, Ligang MA¹, Chaofan WU¹, Ke WANG¹(

), Yang HONG^2,³

¹. Institution of Remote Sensing and Information System Application, Zhejiang University, Hangzhou 310058, China
². School of Civil Engineering and Environmental Sciences and School of Meteorology, University of Oklahoma, OK 73019, USA
³. State Key Laboratory of Hydroscience and Engineering, Department of Hydraulic Engineering, Tsinghua University, Beijing 100084, China

Download: PDF(999 KB)
Export: BibTeX | EndNote | Reference Manager | ProCite | RefWorks

Abstract

The Qiandao Lake Area (QLA) is of great significance in terms of drinking water supply in East Coast China as well as a nationally renowned tourist attraction. A series of laws and regulations regarding the QLA environment have been enacted and implemented throughout the past decade with the aim of negating the harmful effects associated with expanding urbanization and industrialization. In this research, an assessment framework was developed to analyze the eco-environmental vulnerability of the QLA from 1990–2010 by integrating fuzzy analytic hierarchy process (FAHP) and geographical information systems (GIS) in an attempt to gain insights into the status quo of the QLA so as to review and evaluate the effectiveness of the related policies. After processing and analyzing the temporal and spatial variation of eco-environmental vulnerability and major environmental issues in the QLA, we found that the state of eco-environmental vulnerability of the QLA was acceptable, though a moderate deterioration was detected during the study period. Furthermore, analysis of the combination of vulnerability and water quality indicated that the water quality showed signs of declination, though the overall status remained satisfactory. It was hence concluded that the collective protection and treatment actions were effective over the study period, whereas immediately stricter measures would be required for protecting the drinking water quality from domestic sewage and industrial wastewater. Finally, the spatial variation of the eco-environmental vulnerability assessment also implied that specifically more targeted measures should be adopted in respective regions for long-term sustainable development of the QLA.

Keywords eco-environment vulnerability assessment drinking water source fuzzy AHP GIS Qiandao Lake Area

Corresponding Author(s): Jinsong DENG,Ke WANG

Online First Date: 05 February 2015 Issue Date: 20 July 2015

Cite this article:

Qing GU,Jun LI,Jinsong DENG, et al. Eco-environmental vulnerability assessment for large drinking water resource: a case study of Qiandao Lake Area,China[J]. Front. Earth Sci., 2015, 9(3): 578-589.

URL:

https://academic.hep.com.cn/fesci/EN/10.1007/s11707-014-0472-5
https://academic.hep.com.cn/fesci/EN/Y2015/V9/I3/578

1	W N Adger (2006). Vulnerability. Glob Environ Change, 16(3): 268–281 https://doi.org/10.1016/j.gloenvcha.2006.02.006
2	B N Bockelmann, E K Fenrich, B Lin, R A Falconer (2004). Development of an ecohydraulics model for stream and river restoration. Ecol Eng, 22(4–5): 227–235 https://doi.org/10.1016/j.ecoleng.2004.04.003
3	J J Buckley (1985). Fuzzy hierarchical analysis. Fuzzy Sets Syst, 17(3): 233–247 https://doi.org/10.1016/0165-0114(85)90090-9
4	D Y Chang (1996). Applications of the extent analysis method on fuzzy AHP. Eur J Oper Res, 95(3): 649–655 https://doi.org/10.1016/0377-2217(95)00300-2
5	B Chen, G Q Chen (2009). Emergy-based energy and material metabolism of the Yellow River basin. Commun Nonlinear Sci Numer Simul, 14(3): 923–934 https://doi.org/10.1016/j.cnsns.2007.05.034
6	G Q Chen, X Ji (2007). Chemical exergy based evaluation of water quality. Ecol Modell, 200(1–2): 259–268 https://doi.org/10.1016/j.ecolmodel.2006.06.015
7	Z M Chen, G Q Chen (2013). Virtual water accounting for the globalized world economy: national water footprint and international virtual water trade. Ecol Indic, 28: 142–149 https://doi.org/10.1016/j.ecolind.2012.07.024
8	Z M Chen, G Q Chen, X H Xia, S Y Xu (2012). Global network of embodied water flow by systems input-output simulation. Front Earth Sci, 6(3): 331–344 https://doi.org/10.1007/s11707-012-0305-3
9	T Y Chou, G S Liang (2001). Application of a fuzzy multi-criteria decisionmaking model for shipping company performance evaluation. Marit Policy Manage, 28(4): 375–392 https://doi.org/10.1080/03088830110049951
10	H Eakin, A L Luers (2006). Assessing the vulnerability of social-environmental systems. Annu Rev Environ Resour, 31(1): 365–394 https://doi.org/10.1146/annurev.energy.30.050504.144352
11	M Eisele, A Steinbrich, A Hildebrand, C Leibundgut (2003). The significance of hydrological criteria for the assessment of the ecological quality in river basins. Phys Chem Earth Parts ABC, 28(12–13): 529–536 https://doi.org/10.1016/S1474-7065(03)00092-5
12	M Enea, T Piazza (2004). Project Selection by Constrained Fuzzy AHP. Fuzzyoptimization and Decision Making (Vol. 3). New York: Kluwer Academic Publishers
13	I Ertuğrul Ertugrul, N Karakasoglu (2009). Performance evaluation of Turkish cementfirms with fuzzy analytic hierarchy process and TOPSIS methods. Expert Syst Appl, 36(1): 702–715 https://doi.org/10.1016/j.eswa.2007.10.014
14	Z F Fang (2000). Introduction of coordinated development countermeasures of tourism and the environment in Qiandao Lake area. Administration and Technique of Environmental Monitoring, 12(B12): 12–13 (in Chinese)
15	J D Ford, B Smit, J Wandel (2006). Vulnerability to climate change in the Arctic: a case study from Arctic Bay, Canada. Glob Environ Change, 16(2): 145–160 https://doi.org/10.1016/j.gloenvcha.2005.11.007
16	M N Gowrie (2005). Environmental vulnerability index for the Island of Tobago, West Indies. Conservation Ecology, 7(2): 11–28
17	R J Guo, F R Chen, Q Zhu (2001). Evaluation and analysis of capacity of forestry sustainable development in Chun`an County. Journal of Zhejiang Forestry College, 18(4): 337–344 (in Chinese)
18	S J Hu (2005). Present situation and management countermeasures of soil and water loss in Qiandaohu watershed. Soil and Water Conservation Science and Technology in Shanxi, (2) (in Chinese)
19	M Isidori, M Lavorgna, A Nardelli, A Parrella (2004). Integrated environmental assessment of Volturno River in South Italy. Sci Total Environ, 327(1–3): 123–134 https://doi.org/10.1016/j.scitotenv.2004.01.021
20	A Jessop (2004). Minimally biased weight determination in personnel selection. Eur J Oper Res, 153(2): 433–444 https://doi.org/10.1016/S0377-2217(03)00163-2
21	Y Jiang (2009). China’s water scarcity. J Environ Manage, 90(11): 3185–3196 https://doi.org/10.1016/j.jenvman.2009.04.016
22	Z Jiang, S Su, C Jing, S Lin, X Fei, J Wu (2012). Spatiotemporal dynamics of soil erosion risk for Anji County, China. Stochastic Environ Res Risk Assess, 26(6): 751–763 https://doi.org/10.1007/s00477-012-0590-0
23	V Krivtsov (2004). Investigations of indirect relationships in ecology and environmental sciences: a review and the implications for comparative theoretical ecosystem analysis. Ecol Modell, 174(1–2): 37–54 https://doi.org/10.1016/j.ecolmodel.2003.12.042
24	J K Levy (2005). Multiple criteria decision making and decision support systems for flood risk management. Stochastic Environ Res Risk Assess, 19(6): 438–447 https://doi.org/10.1007/s00477-005-0009-2
25	A N Li, A S Wang, S L Liang, W Zhou (2006). Eco-environmental vulnerability evaluation in mountainous region using remote sensing and GIS-A case study in the upper reaches of Minjiang River, China. Ecol Modell, 192(1–2): 175–187 https://doi.org/10.1016/j.ecolmodel.2005.07.005
26	L Li, Z H Shi, W Yin, D Zhu, S L Ng, C F Cai, A L Lei (2009). A fuzzy analytic hierarchy process (FAHP) approach to eco-environmental vulnerability assessment for the Danjiangkou reservoir area, China. Ecol Modell, 220(23): 3439–3447 https://doi.org/10.1016/j.ecolmodel.2009.09.005
27	T S Li, H H Huang (2009). Applying TRIZ and Fuzzy AHP to develop innovative design for automated manufacturing systems. Expert Syst Appl, 36(4): 8302–8312 https://doi.org/10.1016/j.eswa.2008.10.025
28	Z W Li, G M Zeng, H Zhang, B Yang, S Jiao (2007). The integrated eco-environment assessment of the red soil hilly region based on GIS—A case study in Changsha City, China. Ecol Modell, 202(3–4): 540–546 https://doi.org/10.1016/j.ecolmodel.2006.11.014
29	J Liu, J Diamond (2005). China’s environment in a globalizing world. Nature, 435(7046): 1179–1186 https://doi.org/10.1038/4351179a
30	Y Liu, R Li, X Song (2005). Grey associative analysis of regional urbanization and eco-environment coupling in China. Acta Geogr Sin, 60(2): 237–247 (in Chinese) https://doi.org/10.1007/s10114-004-0406-3
31	N W Locantore, L T Tran, R V O'Neill, P W McKinnis, E R Smith, M O'Connell (2004). An overview of data integration methods for regional assessment. Environ Monit Assess, 94(1–3): 249–261 https://doi.org/10.1023/B:EMAS.0000016892.67527.4c
32	H C Lv, S G Xue, Z F Fang (2004). Influence of different land use patterns upon nitrogen and phosphorus loss in the Qiandaohu drainage area. Geology in China, 31(z1) (in Chinese)
33	G A Mendoza, R Prabhu (2000). Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: a case study. For Ecol Manage, 131(1–3): 107–126 https://doi.org/10.1016/S0378-1127(99)00204-2
34	J Meng, G Q Chen, L Shao, J S Li, H S Tang, T Hayat, A Alsaedi, F Alsaadi (2014). Virtual water accounting for building: case study for E-town, Beijing. J Clean Prod, 68(0): 7–15 https://doi.org/10.1016/j.jclepro.2013.12.045
35	MWR (Ministry of Water Resources, P.R. China) (2007). The 11th Five-Year Plan of National Water Resources Development, Gazette of the Ministry of Water Resources of the P.R. China, 34–48
36	J H Popp, D E Hyatt, D Hoag (2000). Modeling environmental condition with indices: a case study of sustainability and soil resources. Ecol Modell, 130(1–3): 131–143 https://doi.org/10.1016/S0304-3800(00)00201-5
37	R Sadiq, S Tesfamariam (2009). Environmental decision-making under uncertainty using intuitionistic fuzzy analytic hierarchy process (IF-AHP). Stochastic Environ Res Risk Assess, 23(1): 75–91 https://doi.org/10.1007/s00477-007-0197-z
38	SC (State Council, P.R. China) (2006). The 11th Five-Year National Plan for Social and Economic Development. Beijing: People’s Publishing House
39	L Shao, G Q Chen (2013). Water footprint assessment for wastewater treatment: method, indicator, and application. Environ Sci Technol, 47(14): 7787–7794 https://doi.org/10.1021/es402013t
40	L Shao, Z Wu, L Zeng, Z M Chen, Y Zhou, G Q Chen (2013). Embodied energy assessment for ecological wastewater treatment by a constructed wetland. Ecol Modell, 252: 63–71 https://doi.org/10.1016/j.ecolmodel.2012.09.004
41	S Su, X Chen, S D DeGloria, J Wu (2010). Integrative fuzzy set pair model for land ecological security assessment: a case study of Xiaolangdi Reservoir Region, China. Stochastic Environ Res Risk Assess, 24(5): 639–647 https://doi.org/10.1007/s00477-009-0351-x
42	P J M Van Laarhoven, W Pedrycz (1983). A fuzzy extension of Saaty’s prioritytheory. Fuzzy Sets Syst, 11(1–3): 199–227 https://doi.org/10.1016/S0165-0114(83)80082-7
43	F Villa, H Mcleod (2002). Environmental vulnerability indicators for environmental planning and decision-making: guidelines and applications. Environ Manage, 29(3): 335–348 https://doi.org/10.1007/s00267-001-0030-2
44	Wen J (2004). Study on ecological risk assessment in Qiandao Lake area. Dissertation for PhD degree. Changsha: Central South University of Forestry and Technology (in Chinese)
45	T Yang, J L Liu, Q Y Chen (2013). Assessment of plain river ecosystem function based on improved gray system model and analytic hierarchy process for the Fuyang River, Haihe River Basin, China. Ecological Modeling, 268(24): 37–47
46	Y Zhao (1999). Distribution and Comprehensive Repair of Chinese Environmental Vulnerability Types. Beijing: Chinese Environmental Sciences Press, 1–30 (in Chinese)
47	Y Z Zhao, X Y Zou, H Cheng, H K Jia, Y Q Wu, G Y Wang, C L Zhang, S Y Gao (2006). Assessing the ecological security of the Tibetan plateau: methodology and a case study for Lhaze County. J Environ Manage, 80(2): 120–131 https://doi.org/10.1016/j.jenvman.2005.08.019
48	Z Y Zhu, H Y Zhou, T P Ouyang, Q L Deng, Y Q Kuang, N S Huang (2001). Water shortage: a serious problem in sustainable development of China. Int J Sustain Dev World Ecol, 8(3): 233–237 https://doi.org/10.1080/13504500109470080

[1]	Emre ÇOLAK, Filiz SUNAR. Spatial pattern analysis of post-fire damages in the Menderes District of Turkey[J]. Front. Earth Sci., 2020, 14(2): 446-461.
[2]	Evangelin Ramani SUJATHA. A spatial model for the assessment of debris flow susceptibility along the Kodaikkanal-Palani traffic corridor[J]. Front. Earth Sci., 2020, 14(2): 326-343.
[3]	Shifa MA, Feng LIU, Chunlei MA, Xuemin OUYANG. Integrating logistic regression with ant colony optimization for smart urban growth modelling[J]. Front. Earth Sci., 2020, 14(1): 77-89.
[4]	Mohammad Saeid MIRAKHORLO, Majid RAHIMZADEGAN. Evaluating estimated sediment delivery by Revised Universal Soil Loss Equation (RUSLE) and Sediment Delivery Distributed (SEDD) in the Talar Watershed, Iran[J]. Front. Earth Sci., 2020, 14(1): 50-62.
[5]	Guiyun ZHOU, Hongqiang WEI, Suhua FU. A fast and simple algorithm for calculating flow accumulation matrices from raster digital elevation[J]. Front. Earth Sci., 2019, 13(2): 317-326.
[6]	Xiaoping LIU, Shuli CHEN, Li ZHUO, Jun LI, Kangning HUANG. Multi-sensor image registration by combining local self-similarity matching and mutual information[J]. Front. Earth Sci., 2018, 12(4): 779-790.
[7]	Bilaşco ŞTEFAN, Roşca SANDA, Fodorean IOAN, Vescan IULIU, Filip SORIN, Petrea DĂNUŢ. Quantitative evaluation of the risk induced by dominant geomorphological processes on different land uses, based on GIS spatial analysis models[J]. Front. Earth Sci., 2018, 12(2): 311-324.
[8]	Chong PENG, Hao XIAO, Yu LIU, Jingjing ZHANG. Economic structure and environmental quality and their impact on changing land use efficiency in China[J]. Front. Earth Sci., 2017, 11(2): 372-384.
[9]	Ştefan BILAŞCO, Corina GOVOR, Sanda ROŞCA, Iuliu VESCAN, Sorin FILIP, Ioan FODOREAN. GIS model for identifying urban areas vulnerable to noise pollution: case study[J]. Front. Earth Sci., 2017, 11(2): 214-228.
[10]	Jianqi ZHUANG,Jianbing PENG,Javed IQBAL,Tieming LIU,Na LIU,Yazhe LI,Penghui MA. Identification of landslide spatial distribution and susceptibility assessment in relation to topography in the Xi’an Region, Shaanxi Province, China[J]. Front. Earth Sci., 2015, 9(3): 449-462.
[11]	Yue LIU, Qiuming CHENG, Qinglin XIA, Xinqing WANG. The use of evidential belief functions for mineral potential mapping in the Nanling belt, South China[J]. Front. Earth Sci., 2015, 9(2): 342-354.
[12]	Yingzhi LIN,Xiangzheng DENG,Xing LI,Enjun MA. Comparison of multinomial logistic regression and logistic regression: which is more efficient in allocating land use?[J]. Front. Earth Sci., 2014, 8(4): 512-523.

Viewed

Full text

Abstract

Cited

Shared

Discussed