A Hybrid Evaluation Method of Ecological Environment Quality Based on Entropy and Matter-Element Extension Model
DOI:
https://doi.org/10.13052/spee1048-5236.4044Keywords:
Ecological environment quality, entropy evaluation, PSR, matter-element extensionAbstract
The ecological environment of China is facing much more pressure with the continuous growth of population and energy usage. China pays more attention to improving the ecological environment quality with the ecological civilization development in the situation. The key problem is to construct a scientific and reasonable comprehensive evaluation index system guiding the ecological environment quality improvement. This paper creates a comprehensive evaluation index system of ecological environment quality based on the Pressure-State-Response (PSR) framework and uses a hybrid model with the entropy weight method and matter-element extension to evaluate China’s ecological environment quality from 2016 to 2020. The results show the overall ecological environment quality evaluation level in China is continuously improved. The results also show that China should pay much attention to the four main factors, which are population density, carbon emissions, per capita energy consumption, and per capita arable land, it should take some policies to improve the four factors. The case study has proven the effectiveness and practicality of the hybrid method and the comprehensive evaluation index system.
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References
Boori M S, Choudhary K, Paringer R, et al. Eco-environmental qual-
ity assessment based on pressure-state-response framework by remote
sensing and GIS[J]. Remote Sensing Applications: Society and Envi-
ronment, 2021: 100530.
Das N N, Mohanty B P. Temporal dynamics of PSR-based soil moisture
across spatial scales in an agricultural landscape during SMEX02: A
wavelet approach[J]. Remote Sensing of Environment, 2008, 112(2):
–534.
Donohue R J, Roderick M L, McVicar T R, et al. Impact of CO2 fertil-
ization on maximum foliage cover across the globe’s warm, arid envi-
ronments[J]. Geophysical Research Letters, 2013, 40(12): 3031–3035.
Fu B, Jiang Q, Ren C. Assessment and analysis of wet-land eco-
logical fragility in Zhalong[J]. Journal of Arid Land Resources and
Environment, 2011, 25(1): 49–52.
He L, Shen J, Zhang Y. Ecological vulnerability assessment for eco-
logical conservation and environmental management[J]. Journal of
environmental management, 2018, 206: 1115–1125.
Hu X, Ma C, Huang P, et al. Ecological vulnerability assessment based
on AHP-PSR method and analysis of its single parameter sensitivity
and spatial autocorrelation for ecological protection—A case of Weifang
City, China[J]. Ecological Indicators, 2021, 125: 107464.
Hua W, Chen H, Zhou L, et al. Observational quantification of cli-
matic and human influences on vegetation greening in China[J]. Remote
Sensing, 2017, 9(5): 425.
Li H, Li L, Su F, et al. Ecological stability evaluation of tidal flat
in coastal estuary: A case study of Liaohe estuary wetland, China[J].
Ecological Indicators, 2021, 130: 108032.
Mao J, Shi X, Thornton P E, et al. Global latitudinal-asymmetric vegeta-
tion growth trends and their driving mechanisms: 1982–2009[J]. Remote
Sensing, 2013, 5(3): 1484–1497.
A Hybrid Evaluation Method of Ecological Environment Quality 403
Mueller T, Dressler G, Tucker C J, et al. Human land-use practices
lead to global long-term increases in photosynthetic capacity[J]. Remote
Sensing, 2014, 6(6): 5717–5731.
Ng D K W, Cai W. Treating non-compatibility problem from matter
element analysis to extenics[J]. ACM Sigice Bulletin, 1997, 22(3): 2–9.
Probst W N, Rau A, Oesterwind D. A proposal for restructuring Descrip-
tor 3 of the Marine Strategy Framework Directive (MSFD)[J]. Marine
Policy, 2016, 74: 128–135.
Qiu W, Zhao Q L, Li S, et al. Ecological security evaluation of Hei-
longjiang province with pressure-state-response model[J]. Huan jing ke
xue= Huanjing kexue, 2008, 29(4): 1148–1152.
Rapport D J, Singh A. An ecohealth-based framework for state of
environment reporting[J]. Ecological Indicators, 2006, 6(2): 409–428.
Seyedmohammadi J, Sarmadian F, Jafarzadeh A A, et al. Development
of a model using matter element, AHP and GIS techniques to assess the
suitability of land for agriculture[J]. Geoderma, 2019, 352: 80–95.
Sidhu A S, Singh S, Kumar R. Bibliometric analysis of entropy weights
method for multi-objective optimization in machining operations[J].
Materials Today: Proceedings, 2021.
Song Y, Lu Y, Liu T, et al. Variation of vegetation fractional coverage
and its relationship with climate in a desert steppe: optimization of
farmland layout in a farming–pastoral ecotone using the ecological
suitability index[J]. Ecological Engineering, 2020, 150: 105834.
Sun J, Li Y P, Gao P P, et al. A Mamdani fuzzy inference approach for
assessing ecological security in the Pearl River Delta urban agglomera-
tion, China[J]. Ecological Indicators, 2018, 94: 386–396.
Vaid S K, Vaid G, Kaur S, et al. Application of multi-criteria decision-
making theory with VIKOR-WASPAS-Entropy methods: A case study
of silent Genset[J]. Materials Today: Proceedings, 2021.
Wang C, Zhao H. The assessment of urban ecological environment
in watershed scale[J]. Procedia Environmental Sciences, 2016, 36:
–175.
Wu M, Liu Y, Xu Z, et al. Spatio-temporal dynamics of China’s eco-
logical civilization progress after implementing national conservation
strategy[J]. Journal of Cleaner Production, 2021, 285: 124886.
Wu J, Wang X, Zhong B, et al. Ecological environment assessment for
Greater Mekong Subregion based on Pressure-State-Response frame-
work by remote sensing[J]. Ecological Indicators, 2020, 117: 106521.
R. Wang et al.
Xu X, Zhang D, Zhang Y, et al. Evaluating the vegetation restoration
potential achievement of ecological projects: A case study of Yan’an,
China[J]. Land Use Policy, 2020, 90: 104293.
Yi L, Chen J, Jin Z, et al. Impacts of human activities on coastal eco-
logical environment during the rapid urbanization process in Shenzhen,
China[J]. Ocean & coastal management, 2018, 154: 121–132.
Zhang D, Jia Q, Xu X, et al. Contribution of ecological policies to
vegetation restoration: A case study from Wuqi County in Shaanxi
Province, China[J]. Land use policy, 2018, 73: 400–411.
Zhang F, Liu X, Zhang J, et al. Ecological vulnerability assessment
based on multi-sources data and SD model in Yinma River Basin,
China[J]. Ecological Modelling, 2017, 349: 41–50.
Zamri N, Abdullah L. A new linguistic variable in interval type-2 fuzzy
entropy weight of a decision making method[J]. Procedia Computer
Science, 2013, 24: 42–53.
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