Journal of Resources and Ecology ›› 2021, Vol. 12 ›› Issue (6): 814-821.DOI: 10.5814/j.issn.1674-764x.2021.06.009
• Regional Geography and Ecological Changes • Previous Articles Next Articles
TIAN Jinghan1(), GUO Chenchen2, WANG Jianhua3,*(
)
Received:
2020-09-05
Accepted:
2021-02-16
Online:
2021-11-30
Published:
2022-01-30
Contact:
WANG Jianhua
About author:
TIAN Jinghan, E-mail: czsytjh@163.com
Supported by:
TIAN Jinghan, GUO Chenchen, WANG Jianhua. Quantitative Assessment of the Ecological Vulnerability of Baiyangdian Wetlands in the North China Plain[J]. Journal of Resources and Ecology, 2021, 12(6): 814-821.
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URL: http://www.jorae.cn/EN/10.5814/j.issn.1674-764x.2021.06.009
Objective | Item | Element | Indicator | Number (*) |
---|---|---|---|---|
Ecological vulnerability assessment for the BYD wetlands | Cause | Natural | Annual average temperature | c1 (+) |
Total precipitation in summer | c2 (+) | |||
Wetland water area | c3 (+) | |||
Average water level | c4 (+) | |||
Shallow groundwater depth | c5 (-) | |||
Overall assessment of water quality | c6 (-) | |||
Social | Permanganate index | c7 (-) | ||
Chemical oxygen demand | c 8 (-) | |||
Ammonia nitrogen | c 9 (-) | |||
Total phosphorus | c 10 (-) | |||
Mean composite pollution index | c 11 (-) | |||
Inland water breeding area | c 12 (-) | |||
Agricultural chemical fertilizer consumption | c 13 (-) | |||
Water consumption of industrial enterprises above a designated size | c 14 (-) | |||
Energy consumption of industrial enterprises above a designated size | c 15 (-) | |||
Total energy consumption | c 16 (-) | |||
Sulfur dioxide emission | c 17 (-) | |||
Industrial smoke and dust emission | c 18 (-) | |||
Rate of industrial solid wastes disposed | c 19 (+) | |||
Result | Sci-tech | Rate of industrial solid wastes comprehensively utilized | c20 (+) | |
Energy consumption per unit industrial value added | c21 (-) | |||
Energy consumption per unit GDP | c22 (-) | |||
Economic | GDP per capita | c23 (+) |
Table 1 Ecological vulnerability evaluation indicator system
Objective | Item | Element | Indicator | Number (*) |
---|---|---|---|---|
Ecological vulnerability assessment for the BYD wetlands | Cause | Natural | Annual average temperature | c1 (+) |
Total precipitation in summer | c2 (+) | |||
Wetland water area | c3 (+) | |||
Average water level | c4 (+) | |||
Shallow groundwater depth | c5 (-) | |||
Overall assessment of water quality | c6 (-) | |||
Social | Permanganate index | c7 (-) | ||
Chemical oxygen demand | c 8 (-) | |||
Ammonia nitrogen | c 9 (-) | |||
Total phosphorus | c 10 (-) | |||
Mean composite pollution index | c 11 (-) | |||
Inland water breeding area | c 12 (-) | |||
Agricultural chemical fertilizer consumption | c 13 (-) | |||
Water consumption of industrial enterprises above a designated size | c 14 (-) | |||
Energy consumption of industrial enterprises above a designated size | c 15 (-) | |||
Total energy consumption | c 16 (-) | |||
Sulfur dioxide emission | c 17 (-) | |||
Industrial smoke and dust emission | c 18 (-) | |||
Rate of industrial solid wastes disposed | c 19 (+) | |||
Result | Sci-tech | Rate of industrial solid wastes comprehensively utilized | c20 (+) | |
Energy consumption per unit industrial value added | c21 (-) | |||
Energy consumption per unit GDP | c22 (-) | |||
Economic | GDP per capita | c23 (+) |
Indicator | Number | Weight |
---|---|---|
Annual average temperature | c1 | 0.0444 |
Total precipitation in summer | c2 | 0.0432 |
Wetland water area | c3 | 0.0508 |
Average water level | c4 | 0.0441 |
Shallow groundwater depth | c5 | 0.0429 |
Overall assessment of water quality | c6 | 0.0442 |
Permanganate index | c7 | 0.0465 |
Chemical oxygen demand | c8 | 0.0433 |
Ammonia nitrogen | c9 | 0.0489 |
Total phosphorus | c10 | 0.0475 |
Mean composite pollution index | c11 | 0.0397 |
Inland water breeding area | c12 | 0.0429 |
Agricultural chemical fertilizer consumption | c13 | 0.0430 |
Water consumption of industrial enterprises above a designated size | c14 | 0.0411 |
Energy consumption of industrial enterprises above a designated size | c15 | 0.0383 |
Total energy consumption | c16 | 0.0440 |
Sulfur dioxide emission | c17 | 0.0311 |
Industrial smoke and dust emission | c18 | 0.0546 |
Rate of industrial solid wastes disposed | c19 | 0.0473 |
Rate of industrial solid wastes comprehensively utilized | c20 | 0.0465 |
Energy consumption per unit industrial value added | c21 | 0.0331 |
Energy consumption per unit GDP | c22 | 0.0354 |
GDP per capita | c23 | 0.0471 |
Table 2 Indicator weights for the ecological vulnerability assessment
Indicator | Number | Weight |
---|---|---|
Annual average temperature | c1 | 0.0444 |
Total precipitation in summer | c2 | 0.0432 |
Wetland water area | c3 | 0.0508 |
Average water level | c4 | 0.0441 |
Shallow groundwater depth | c5 | 0.0429 |
Overall assessment of water quality | c6 | 0.0442 |
Permanganate index | c7 | 0.0465 |
Chemical oxygen demand | c8 | 0.0433 |
Ammonia nitrogen | c9 | 0.0489 |
Total phosphorus | c10 | 0.0475 |
Mean composite pollution index | c11 | 0.0397 |
Inland water breeding area | c12 | 0.0429 |
Agricultural chemical fertilizer consumption | c13 | 0.0430 |
Water consumption of industrial enterprises above a designated size | c14 | 0.0411 |
Energy consumption of industrial enterprises above a designated size | c15 | 0.0383 |
Total energy consumption | c16 | 0.0440 |
Sulfur dioxide emission | c17 | 0.0311 |
Industrial smoke and dust emission | c18 | 0.0546 |
Rate of industrial solid wastes disposed | c19 | 0.0473 |
Rate of industrial solid wastes comprehensively utilized | c20 | 0.0465 |
Energy consumption per unit industrial value added | c21 | 0.0331 |
Energy consumption per unit GDP | c22 | 0.0354 |
GDP per capita | c23 | 0.0471 |
Year | Ⅰ | Ⅱ | Ⅲ | Ⅳ | Ⅴ |
---|---|---|---|---|---|
2010 | 0.11 | 0.29 | 0.25 | 0.18 | 0.17 |
2011 | 0.06 | 0.26 | 0.34 | 0.21 | 0.13 |
2012 | 0.09 | 0.15 | 0.42 | 0.25 | 0.08 |
2013 | 0.18 | 0.26 | 0.35 | 0.15 | 0.06 |
2014 | 0.08 | 0.22 | 0.28 | 0.35 | 0.07 |
2015 | 0.07 | 0.26 | 0.36 | 0.19 | 0.12 |
2016 | 0.14 | 0.29 | 0.36 | 0.13 | 0.08 |
2017 | 0.17 | 0.24 | 0.27 | 0.18 | 0.13 |
Table 3 Membership degrees to the five grades of the fuzzy comprehensive evaluation
Year | Ⅰ | Ⅱ | Ⅲ | Ⅳ | Ⅴ |
---|---|---|---|---|---|
2010 | 0.11 | 0.29 | 0.25 | 0.18 | 0.17 |
2011 | 0.06 | 0.26 | 0.34 | 0.21 | 0.13 |
2012 | 0.09 | 0.15 | 0.42 | 0.25 | 0.08 |
2013 | 0.18 | 0.26 | 0.35 | 0.15 | 0.06 |
2014 | 0.08 | 0.22 | 0.28 | 0.35 | 0.07 |
2015 | 0.07 | 0.26 | 0.36 | 0.19 | 0.12 |
2016 | 0.14 | 0.29 | 0.36 | 0.13 | 0.08 |
2017 | 0.17 | 0.24 | 0.27 | 0.18 | 0.13 |
[1] |
Beroya-Eitner M A. 2016. Ecological vulnerability indicators. Ecological Indicators, 60: 329-334.
DOI URL |
[2] |
de Lange H J, Sala S, Vighi M, et al. 2010. Ecological vulnerability in risk assessment—A review and perspectives. Science of the Total Environment, 408(18): 3871-3879.
DOI URL |
[3] | Ge Q S, Yang L S, Jin F J, et al. 2017. Carrying capacity of resource and environment of Xiongan New Area: Evaluation, regulation, and promotion. Bulletin of Chinese Academy of Sciences, 32(11): 1206-1215. (in Chinese) |
[4] |
Jiang L G, Lv P Y, Feng Z M, et al. 2018. Where should the start zone be located for Xiongan New Area? A land use perspective. Journal of Resources and Ecology, 9(4): 374-381.
DOI URL |
[5] | Jin Y, Meng J J. 2011. Assessment and forecast of ecological vulnerability: A review. Chinese Journal of Ecology, 30(11): 2646-2652. (in Chinese) |
[6] | Li B Y, Chen H B, Tang H P. 2010. Assessing ecological fragility with AHP and fuzzy integrated evaluation in autonomous prefectures of northern Xinjiang. Journal of Beijing Normal University (Natural Science), 46(2): 197-201. (in Chinese) |
[7] |
Liu D, Cao C X, Dubovyk O, et al. 2017. Using fuzzy analytic hierarchy process for spatio-temporal analysis of eco-environmental vulnerability change during 1990-2010 in Sanjiangyuan region, China. Ecological Indicators, 73: 612-625.
DOI URL |
[8] | Liu H H, Wang N, Xie J C, et al. 2014. Assessment of ecological vulnerability based on fuzzy comprehensive evaluation in Weihe River Basin. Journal of Shenyang Agricultural University, 45(1): 73-77. (in Chinese) |
[9] | Liu J G, Zhao D D, Ye B. 2019. Ecological attributes, restoration, and protection of the Baiyangdian in Xiong’an New Area. Acta Ecologica Sinica, 39(9): 3019-3025. (in Chinese) |
[10] |
Malekmohammadi B, Jahanishakib F. 2017. Vulnerability assessment of wetland landscape ecosystem services using driver-pressure-state- impact-response (DPSIR) model. Ecological Indicators, 82: 293-303.
DOI URL |
[11] | Shang E P, Bai W Q. 2012. A review on the studies of wetland vulnerability assessment. Wetland Science, 10(3): 378-384. (in Chinese) |
[12] | Tian Y P, Chang H. 2012. Bibliometric analysis of research progress on ecological vulnerability in China. Acta Geographica Sinica, 67(11): 1515-1525. (in Chinese) |
[13] | Wang G, Shi Y H. 2019. Bibliometric analysis of international ecological vulnerability research situation. Environmental Impact Assessment, 41(2): 80-84. (in Chinese) |
[14] |
Wang J H, Lu X G, Jiang M, et al. 2009. Fuzzy synthetic evaluation of wetland soil quality degradation: A case study on the Sanjiang Plain, Northeast China. Pedosphere, 19(6): 756-764.
DOI URL |
[15] |
Wang J H, Lu X G, Tian J H, et al. 2008. Fuzzy synthetic evaluation of water quality of Naoli River using parameter correlation analysis. Chinese Geographical Science, 18(4): 361-368.
DOI URL |
[16] |
Wang Y J, Zhong L F. 2020. Research framework for ecosystem vulnerability: Measurement, prediction, and risk assessment. Journal of Resources and Ecology, 11(5): 499-507.
DOI URL |
[17] | Xia J, Zhang Y Y. 2017. Water resource and pollution safeguard for Xiong’an new area construction and its sustainable development. Bulletin of Chinese Academy of Sciences, 32(11): 1199-1205. (in Chinese) |
[18] | Yi Y J, Yang Y F, Zhang S H, et al. 2019. Habitat simulation of benthic macroinvertebrates in a shallow lake. Water Resources and Hydropower Engineering, 50(5): 90-96. (in Chinese) |
[19] | Yu K J. 2018. Three comprehensive and innovative strategies to solve the water problems in Xiongan New District. Landscape Architecture Frontiers, 6(4): 4-12. (in Chinese) |
[20] |
Yuan M R, Zhuge Y P, Liu R. 2011. Fuzzy evaluation of Tai’an ecological vulnerability based on AHP. Environmental Science & Technology, 34(2): 173-177. (in Chinese)
DOI URL |
[21] | Zhang S Z, Ma J, Li G B. 2007. The ecological problems and sustainable development countermeasures of the Baiyangdian Wetland. South-to- North Water Transfers and Water Science & Technology, (4): 53-56. (in Chinese) |
[22] |
Zhao J C, Ji G X, Tian Y, et al. 2018. Environmental vulnerability assessment for mainland China based on entropy method. Ecological Indicators, 91: 410-422.
DOI URL |
[23] |
Zhuang C W, Ouyang Z Y, Xu W H, et al. 2011. Impacts of human activities on the hydrology of Baiyangdian Lake, China. Environmental Earth Sciences, 62(7): 1343-1350.
DOI URL |
[24] |
Zou Z H, Yun Y, Sun J N. 2006. Entropy method for determination of weight of evaluating indicators in fuzzy synthetic evaluation for water quality assessment. Journal of Environmental Sciences, 18(5): 1020-1023.
DOI URL |
[1] | LI Pingxing, FAN Jie. Regional Ecological Vulnerability Assessment of the Guangxi Xijiang River Economic Belt in Southwest China with VSD Model [J]. Journal of Resources and Ecology, 2014, 5(2): 163-170. |
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