scholarly journals THE EVALUATION OF ECOSYSTEM HEALTH BASED ON HYBRID TODIM METHOD FOR CHINESE CASE

2019 ◽  
Vol 25 (3) ◽  
pp. 542-570 ◽  
Author(s):  
Peide Liu ◽  
Lili Rong ◽  
Fei Teng
Keyword(s):  
Health Status ◽  
Ecosystem Health ◽  
Urban Ecosystem ◽  
Ecological System ◽  
Pollutant Emissions ◽  
Health Evaluation ◽  
Health State ◽  
Evaluation Indexes ◽  
Healthy Development ◽  
Todim Method

The health evaluation of urban ecosystem is the need of urban sustainable development and the construction of urban ecological civilization, in order to scientifically evaluate the ecosystem health, in this paper, we establish the mathematical model based on hybrid multiple attributes decision-making. Firstly, we introduce the original city ecosystem health evaluation indexes which reflect on Vitality, Composition Structure, Recovery Capacity, The Ecological System Continually Offering Service Function, Population Health and Ecosystem Cognition ecosystem health. Then in order to obtain the reasonable weights, we integrate the subjective weights by linguistic AHP method and objective weights by deviation maximization method, and get the combined weights for city ecosystem health evaluation indexes. Further, according to the characteristics of the different indexes, we propose an extended TODIM method to evaluate the city ecosystem health in which the indexes take the form of real number, interval number, and probabilistic linguistic term set. Moreover, with respect to the evaluation values of city ecosystem health in Jinan from 2011 to 2015, this paper evaluates the health status of Jinan ecological system, and analyzes the role of various indicators in the process of city ecological development. Result shows that: (1) Jinan ecosystem health status remained at the sub-health state from 2011 to 2015, and the ecological situation is not optimistic. (2) Prominent problems restricting are lack of investment in environmental protection efforts, increasing pollutant emissions, and imperfect industrial structure. To solve the problems in the healthy development of Jinan urban ecosystem, this paper puts forward corresponding countermeasures and suggestions to improve the healthy development of urban ecosystem.

scholarly journals The Health Evaluation of Wetland Ecosystem in the Yangtze River Economic Zone Based on Remote Sensing——A Case Study of Yunnan Wetland

2021 ◽  
Vol 276 ◽  
pp. 01001
Author(s):  
Haonan Wang ◽  
Fan Yu ◽  
Jun Li
Keyword(s):  
Health Status ◽  
Evaluation System ◽  
Ecosystem Health ◽  
Comprehensive Evaluation ◽  
Rate Of Change ◽  
Evaluation Index ◽  
Health Evaluation ◽  
Wetland Ecosystem ◽  
Evaluation Indexes ◽  
The Status

In order to provide a scientific basis for the development of the Yunnan wetland ecosystem, we construct a wetland ecosystem health evaluation system with 15 evaluation indexes selected from three aspects including pressure, status and response based on PSR mathematical model. Analytic Hierarchy Process(AHP) was used to determine the weight of indicators and the Yunnan wetland ecosystem was divided into “the five health status” of “health, sub-health, fragility, illness, and scurviness”, which are used to analyze and evaluate the health status of it through a comprehensive evaluation index. The results show that the comprehensive evaluation index of ecosystem health status of Yunnan wetland is 0.5524 in 2017, locating in the grade of “fragility” and is close to the status of “sub-healthy”; Among the 3 levels of pressure, state, and response, the pressure and state are locating in the grade of “fragility” and the response is close to the status of “health”. Among the 15 evaluation indexes, the rate of change of wetland area, the area of water body, the hydrological regulation and the wetland management level are the most important factors affecting the ecosystem health of Yunnan wetland.

Ecosystem Health of the Beiyun River Basin (Beijing, China) as Evaluated by the Analytic Hierarchy Process Method

2021 ◽  
Author(s):  
Qianhui Yuan ◽  
Huihui Wu ◽  
Yunqiang Zhao ◽  
Yuhang Zhang ◽  
Ruihua Yao ◽  
...  
Keyword(s):  
Water Quality ◽  
Health Status ◽  
Analytic Hierarchy Process ◽  
River Basin ◽  
Ecosystem Health ◽  
Weak Links ◽  
Health Evaluation ◽  
Ecosystem Structure ◽  
Analytic Hierarchy ◽  
Hierarchy Process

Abstract Ecosystem services provided by river ecosystems rely on healthy ecosystem structure and ecological processes. The Beijing-Tianjin-Hebei urban is a typical water-deficient area. As an important part of the urban-rural integration construction, evaluating the health status of the Beiyun River Basin and discovering the weak links in the water environment is the basis for improving the health of the basin. In this study, Analytic Hierarchy Process was used to establish an evaluation index system for the Beiyun River Basin from 5 aspects including water quality, biology, habitat, hydrology, and social functions, and to assign weights to the index layer. The evaluation results showed that the health evaluation results of the Beiyun River Basin in 2019 are “sub-healthy”, and the overall health status is gradually worsening from northwest to southeast. In the middle reaches of the region, the evaluation result is "healthy", followed by the upstream, and the downstream is the worst. The results showed that areas with less human interference are in better health. The factors that affect the overall health evaluation status in the basin are the level of nutrition, biodiversity, and vegetation coverage. For the comprehensive management of the Beiyun River, the improvement of water quality and habitat ecological restoration is the key to the health of the upstream ecosystem health status. The improvement of the health status of the downstream should focus on equal emphasis on water quality and quantity, restoration of biodiversity, and improvement of the quality of the riparian ecological environment.

Ecosystem Health Assessment of Guangzhou City

2013 ◽  
Vol 726-731 ◽  
pp. 997-1000 ◽  
Author(s):  
Hui Liu
Keyword(s):  
Health Status ◽  
Ecosystem Health ◽  
Comprehensive Evaluation ◽  
Urban Ecosystem ◽  
High Energy ◽  
Evaluation Index System ◽  
Background Information ◽  
Entropy Weight ◽  
Guangzhou City ◽  
Urban Ecosystem Health

Guangzhou urban ecosystem health evaluation index system was built by the connotation of urban ecosystem health and the actual situation in Guangzhou city. The system concluded five indexes such as vigor, organizational structure, resilience, ecosystem services and health status of populations. Each index weight was calculated with entropy-weight method,and comprehensive evaluation model was established to assess the urban ecosystem health level of Guangzhou city. The results showed that the health status of the ecosystem of Guangzhou city was good in 2010. High energy consumption, the R & D expenditure, environmental protection investment, urban public green space and Engel coefficient had exerted influence on the healthy development of Guangzhou city. Thereby, strategies and measures should be put forward in an attempt to provide some background information an d programming reference for the sustainable development of the city.

Urban ecosystem health evaluation for typical Chinese cities along the Belt and Road

2019 ◽  
Vol 101 ◽  
pp. 572-582 ◽  
Author(s):  
Meirong Su ◽  
Hong Xie ◽  
Wencong Yue ◽  
Lixiao Zhang ◽  
Zhifeng Yang ◽  
...  
Keyword(s):  
Ecosystem Health ◽  
Urban Ecosystem ◽  
Health Evaluation ◽  
Chinese Cities ◽  
Belt And Road ◽  
Urban Ecosystem Health ◽  
The Belt And Road

Research on the Health State Evaluation Method of Coal Shearer Based on Improved XGBoost

2021 ◽  
Author(s):  
Yanchuan Li ◽  
Xiangang Cao ◽  
Mengyuan Zhang ◽  
Xinyu Duan ◽  
Youjun Zhao
Keyword(s):  
Health Status ◽  
Correlation Coefficient ◽  
Evaluation Method ◽  
Health Management ◽  
Model Verification ◽  
Evaluation Index System ◽  
Mining Machine ◽  
Health Evaluation ◽  
Health State ◽  
Data Set

Abstract The health evaluation of shearers has always been a hot and difficult point in the study of shearer health management. In this paper, aiming at the problems of redundancy of current shearer status evaluation parameters and imbalance of the evaluation data set, this paper proposes a shearer health status evaluation method based on the improved extreme boosting tree algorithm (XGBoost). First of all, in view of the redundancy of the multi-dimensional monitoring parameters of the shearer, the SP correlation coefficient combining the Spearman correlation coefficient and the Person correlation coefficient is proposed. According to the calculation results of the SP correlation coefficient, the shearer health indicator is screened out, and the coal mining machine is constructed. Machine health evaluation index system; In view of the poor interpretability of traditional neural network evaluation methods and the unbalanced data of the shearer data set categories, a shearer health evaluation method based on improved XGBoost is proposed, and the evaluation of the XGBoost model Key parameters such as the maximum depth of the tree max_depth, the minimum leaf node weight and min_child_weight are improved and tuned; finally, the evaluation model verification and analysis are carried out through the shearer instance data set. The experimental results show that the average accuracy of the health status evaluation method based on the improved XGBoost can reach 98.50%, and the average F1 average can reach 97.61%, which can effectively solve the problem of imbalance of the data set and the problem of status evaluation.

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