Dynamic assessment of island ecological environment sustainability under urbanization based on rough set, synthetic index and catastrophe progression analysis theories

2019 ◽  
Vol 178 ◽  
pp. 104790 ◽  
Author(s):  
Sheng Gao ◽  
Huihui Sun ◽  
Lin Zhao ◽  
Runjie Wang ◽  
Min Xu ◽  
...  
Keyword(s):  
Rough Set ◽  
Dynamic Assessment ◽  
Ecological Environment ◽  
Synthetic Index ◽  
Catastrophe Progression ◽  
Environment Sustainability

scholarly journals Construction and Evaluation of the Integrated Perception Ecological Environment Indicator (IPEEI) Based on the DPSIR Framework for Smart Sustainable Cities

2020 ◽  
Vol 12 (17) ◽  
pp. 7112
Author(s):  
Yingbing Liu ◽  
Wenying Du ◽  
Nengcheng Chen ◽  
Xiaolei Wang
Keyword(s):  
Comprehensive Evaluation ◽  
Regional Scale ◽  
Environmental Indicators ◽  
Ecological Environment ◽  
Entropy Weight ◽  
Dpsir Framework ◽  
The Sustainable Development ◽  
Ecological Index ◽  
Entropy Weight Method ◽  
Environment Sustainability

Ecological environment evaluation is of great significance to achieve the Sustainable Development Goals (SDGs) and promote the harmonious development of economy, society, and environment. To evaluate environmental SDGs, single environmental indicators have been analyzed at national or large regional scale in some literature, while the urban integrated environment is ignored. Therefore, it is necessary to systematically and quantically evaluate the sustainability of ecological environment integrating the water, soil, and air environment at the urban scale. This study aims to construct the Integrated Perception Ecological Environment Indicator (IPEEI) based on the Driver-Pressure-State-Impact-Response (DPSIR) framework to solve the above-mentioned problems. The IPEEI model was proposed based on the three-level association mechanism of the Domain-Theme-Element, and the DPSIR framework conforming to the relevant standards for indicator determination. Moreover, the multi-dimensional, multi-thematic, and multi-urban quantitative evaluations were conducted using the entropy weight method, and the comprehensive evaluation grades by the Jenks natural breaks classification method of the geospatial analysis. Nine cities in the Wuhan Metropolitan Area were selected as the experimental areas. The results were consistent with the Ecological Index and local government’s planning and measures, which demonstrated that IPEEI can be effectively verified and applied for the evaluation of urban ecological environment sustainability.

scholarly journals Study on Development Sustainability of Atmospheric Environment in Northeast China by Rough Set and Entropy Weight Method

2019 ◽  
Vol 11 (14) ◽  
pp. 3793 ◽  
Author(s):  
Yuangang Li ◽  
Maohua Sun ◽  
Guanghui Yuan ◽  
Qi Zhou ◽  
Jinyue Liu
Keyword(s):  
Rough Set ◽  
Northeast China ◽  
Evaluation System ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Atmospheric Environment ◽  
Entropy Weight ◽  
Entropy Weight Method ◽  
Weight Method ◽  
Environment Sustainability

In order to evaluate the atmospheric environment sustainability in the provinces of Northeast China, this paper has constructed a comprehensive evaluation model based on the rough set and entropy weight methods. This paper first constructs a Pressure-State-Response (PSR) model with a pressure layer, state layer and response layer, as well as an atmospheric environment evaluation system consisting of 17 indicators. Then, this paper obtains the weight of different indicators by using the rough set method and conducts equal-width discrete analysis and clustering analysis by using SPSS software. This paper has found that different discrete methods will end up with different reduction sets and multiple indicators sharing the same weight. Therefore, this paper has further introduced the entropy weight method based on the weight solution determined by rough sets and solved the attribute reduction sets of different layers by using the Rosetta software. Finally, this paper has further proved the rationality of this evaluation model for atmospheric environment sustainability by comparing the results with those of the entropy weight method alone and those of the rough set method alone. The results show that the sustainability level of the atmospheric environment in Northeast China provinces has first improved, and then worsened, with the atmospheric environment sustainability level reaching the highest level of 0.9275 in 2014, while dropping to the lowest level of 0.6027 in 2017. Therefore, future efforts should focus on reducing the pressure layer and expanding the response layer. Based on analysis of the above evaluation results, this paper has further offered recommendations and solutions for the improvement of atmospheric environment sustainability in the three provinces of Northeast China.

Research on Investment Risk Assessment of Eco-Materials Industry

2013 ◽  
Vol 347-350 ◽  
pp. 1018-1021
Author(s):  
Hong Xia Jin ◽  
He Ping Yao ◽  
Jie Yu
Keyword(s):  
Risk Assessment ◽  
Rough Set ◽  
Research Problem ◽  
Assessment System ◽  
Ecological Environment ◽  
Support Vector ◽  
Investment Risk ◽  
Classification Rules ◽  
Positive Research ◽  
Qualitative Variables

With the rapidly deteriorating of ecological environment and depletion of resources, construction investment of eco-materials industry is gradually increasing , so the investment risk assessment has become a hot research problem at present. In this paper, a new investment risk assessment system for eco-materials industry is presented, which combines rough set approach and support vector machine (SVM). It is different from traditional statistical methods. We can get reduced information table by rough set, which implies that the number of index and qualitative variables is reduced with no information loss by rough set approach. And then, this reduced information is used to develop classification rules, and SVM is trained to infer appropriate parameters. The result of the positive research indicated that this system is very valid for investment risk assessment of eco-materials industry and it will have a good application prospect in this area.

Assessment on Sustainability of Groundwater Resources in China Southwestern Karst Mountain Area

2013 ◽  
Vol 726-731 ◽  
pp. 3381-3384
Author(s):  
Bo Li ◽  
Yan Jun Wu ◽  
Bin Zhao
Keyword(s):  
Sustainability Assessment ◽  
Groundwater Resources ◽  
Social Economy ◽  
Assessment System ◽  
Guizhou Province ◽  
Ecological Environment ◽  
Regional Assessment ◽  
Regional Environment ◽  
Mountain Area ◽  
Environment Sustainability

Based on the systematical analysis of hydrogeology, social economy and regional environment, choosing 23 indicators from four aspects of the groundwater resources condition, social economy, the ecological environment, Sustainability assessment system of groundwater resources for southwestern karst mountain area were established. Meanwhile, the weights of the indicators based on AHP were determined, which can reduce the fuzziness of man-made judgments. the sustainability of groundwater resources were evaluated and had a much better result by referring to the Weining area of Guizhou province. Thus, provide certain references for similar regional assessment.

scholarly journals Water is important resources to fulfill human needs. So, water resources must managed properly  in  order  to  maintain  the  sustainability  of  resources.  Water  resources management should adapt to each area’s characteristic because it has different local wisdom. Local wisdom not only as the features of a community, but also as the effort for ecological environment sustainability. The purpose of this research is to identify the form of local wisdom that existed in Kampung Kuta and identify local wisdom implementation in taking care of water resources sustainability. The method of this research is qualitative approach with descriptive research type. Researcher uses methodologies triangulation that is deep interview, limited of perception shares, and observation. This research is conduct in the countryside of Karangpaningal, District of Tambaksari, Sub-Province of Ciamis, Province of West Java. The result of this research shows existence of Pamali as the form of local wisdom that defended society in by generations. The form of pamali that become obligatory tradition norm of society that is continuity of tradition house, enjoinment of dead body obsequies, enjoinment of well making, and continuity Hutan Keramat. Pamali has given positive impact of water resources sustainability in Kampung Kuta.  This  condition are  proved with  the  of  appreciation Kalpataru in  the  case  of environment sustainability in 2002.

2010 ◽  
Vol 4 (3) ◽  
Author(s):  
Tia Oktaviani Sumarna Aulia ◽  
Arya Hadi Dharmawan
Keyword(s):  
Water Resources ◽  
Positive Impact ◽  
Ecological Environment ◽  
Dead Body ◽  
Resources Management ◽  
Human Needs ◽  
Descriptive Research ◽  
Environment Sustainability ◽  
Research Type ◽  
Water Resources Sustainability

Water is important resources to fulfill human needs. So, water resources must managed properly  in  order  to  maintain  the  sustainability  of  resources.  Water  resources management should adapt to each area’s characteristic because it has different local wisdom. Local wisdom not only as the features of a community, but also as the effort for ecological environment sustainability. The purpose of this research is to identify the form of local wisdom that existed in Kampung Kuta and identify local wisdom implementation in taking care of water resources sustainability. The method of this research is qualitative approach with descriptive research type. Researcher uses methodologies triangulation that is deep interview, limited of perception shares, and observation. This research is conduct in the countryside of Karangpaningal, District of Tambaksari, Sub-Province of Ciamis, Province of West Java. The result of this research shows existence of Pamali as the form of local wisdom that defended society in by generations. The form of pamali that become obligatory tradition norm of society that is continuity of tradition house, enjoinment of dead body obsequies, enjoinment of well making, and continuity Hutan Keramat. Pamali has given positive impact of water resources sustainability in Kampung Kuta.  This  condition are  proved with  the  of  appreciation Kalpataru in  the  case  of environment sustainability in 2002.

scholarly journals Multi-source Heterogeneous Ecological Big Data Adaptive Fusion Method Based on Symmetric Encryption

2021 ◽  
pp. 08-20
Author(s):  
Manal .. ◽  
◽  
◽  
Ahmed N. Al Al-Masri
Keyword(s):  
Sustainable Development ◽  
Economic Development ◽  
Big Data ◽  
Set Theory ◽  
Rough Set ◽  
Rough Set Theory ◽  
Ecological Environment ◽  
Symmetric Encryption ◽  
Environment Protection ◽  
Adaptive Fusion

In recent years, with the rapid development of the domestic economy, the concept of sustainable development has been paid more and more attention. Ecological environment protection is more and more important, and the ecological environment is closely related to economic development. How to measure the relationship between the two is very important. Whether it is to build ecological environment protection or to ensure sustainable development of the economy, we should take the green development concept as a guiding concept, promote ecological economic development, and study the integration of ecological data is of great significance for solving these problems. The research of this thesis studies the multi-source heterogeneous (MSH) ecological big data (BD)adaptive fusion based (FM) based on symmetric encryption. This paper sets up a comparative experiment, multi-sensor (MS) data fusion based (DFM) based on Rough set theory, MSH data fusion based on data information conversion. The method is compared with the symmetric fusion MSH BD adaptive FM proposed in this paper. The results show that the MSH DFM based on Rough set theory has the highest confidence of 0.812; the MSH DFM based on data information conversion has the highest confidence of 0.68; based on symmetric encryption MSH BD The fusion confidence of the adaptive FM is up to 0.965, and the MSH ecological BD adaptive FM based on symmetric encryption is superior.

scholarly journals Dynamic monitoring and evaluation of ecological restoration in mining area based on GNSS+RS technology

2022 ◽  
Vol 355 ◽  
pp. 02068
Author(s):  
Qiang Wang
Keyword(s):  
Machine Learning ◽  
Ecological Restoration ◽  
Vegetation Index ◽  
Net Primary Productivity ◽  
Dynamic Assessment ◽  
Monitoring And Evaluation ◽  
Mining Area ◽  
Least Square ◽  
Dynamic Monitoring ◽  
Ecological Environment

The continuous development of mineral resources is increasingly damaging the ecological environment, so it is of great significance to ecological restoration and dynamic monitoring of the mining area. In this paper, dynamic monitoring and evaluation method of ecological restoration in the mining area are proposed, which integrates GNSS + RS (Global Navigation Satellite System + Remote Sensing) technology. According to the Precipitable Water Vapor (PWV) retrieved by GNSS and NDVI (Normalized Vegetation Index) can monitor the ecological environment and introduce machine learning to improve the accuracy of the model. The dynamic assessment of ecological restoration was carried out by using temperature, rainfall, NPP (Net Primary Productivity), NDVI and PWV. The results show that: (1) the modeling effect of machine learning is better than that of the least square regression. (2) The comprehensive ecological evaluation index proposed can better reflect the ecological situation of the mining area. Therefore, the environmental monitoring and assessment of mining area based on GNNS + RS technology proposed in this paper have important reference significance.

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