scholarly journals Ecological Vulnerability Assessment Integrating the Spatial Analysis Technology with Algorithms: A Case of the Wood-Grass Ecotone of Northeast China

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Zhi Qiao ◽  
Xi Yang ◽  
Jun Liu ◽  
Xinliang Xu
Keyword(s):  
Spatial Analysis ◽  
Northeast China ◽  
Evaluation Model ◽  
Vulnerability Index ◽  
Evaluation Index System ◽  
Assessment Model ◽  
The North ◽  
Ecological Vulnerability ◽  
Medium Level ◽  
Contemporary Status

This study evaluates ecological vulnerability of the wood-grass ecotone of northeast China integrating the spatial analysis technology with algorithms. An assessment model of ecological vulnerability is developed applying the Analytical Hierarchy Process. The composite evaluation index system is established on the basis of the analysis of contemporary status and potential problems in the study area. By the application of the evaluation model, ecological vulnerability index is calculated between 1990 and 2005. The results show that ecological vulnerability was mostly at a medium level in the study area, however the ecological quality was deteriorating. Through the standard deviational ellipse, the variation of ecological vulnerability can be spatially explicated. It is extremely significative for the prediction of the regions that will easily deteriorate. The deterioration zone was concentrating in the area of Da Hinggan Ling Mountain, including Xingan League, Chifeng, Tongliao, and Chengde, whereas the improvement zone was distributing in the north-central of Hulunbeier.

scholarly journals Research on the Evaluation of Agricultural Disaster Resistance in Henan Province Based on GIS Technology

2020 ◽  
Vol 189 ◽  
pp. 01013
Author(s):  
Hong Han ◽  
Guanghui Feng ◽  
Guoqu Deng
Keyword(s):  
Climate Adaptation ◽  
Global Climate ◽  
Vulnerability Index ◽  
Henan Province ◽  
Assessment System ◽  
Assessment Model ◽  
Gis Technology ◽  
The North ◽  
The Difference ◽  
The University

Using the University of Notre Dame Global Climate Adaptation Index (ND-GAIN) assessment model for reference, the assessment system and model of agricultural disaster resistance in Henan Province are constructed. The spatial characteristics of agricultural disaster resistance subsystem (vulnerability and preparedness) of 18 cities in Henan Province in 2018 were studied by using GIS technology from six perspctives such as sensitivity, exposure, emergency, management, capacity to analyze. The results show that the agricultural disaster resistance ability of Henan Province is in the middle to lower level, showing the spatial difference pattern of high in the west, low in the southeast and weak in the north and south; the difference of vulnerability index is small, and the difference of preparedness index is large; the difference in the degree of preparedness is the main reason for the obvious difference in the level of agricultural disaster resistance; the development of agricultural disaster resistance in different regions is not balanced, and the disaster resistance in Zhengzhou is the strongest, followed by Luoyang and Sanmenxia, Zhoukou and Zhumadian are less resilient.

The Risk Evaluation Model of Mining Project Investment Based on Fuzzy Comprehensive Method

2013 ◽  
Vol 295-298 ◽  
pp. 2928-2934 ◽  
Author(s):  
Zuo Gong Wang ◽  
Jie Zheng ◽  
Hui Yang Li
Keyword(s):  
Risk Factors ◽  
Risk Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Investment Risk ◽  
Project Investment ◽  
Comprehensive Method ◽  
Mining Project ◽  
Risk Evaluation Model

Mining project investment has a lot of features, such as long period, slow effect, big capital size, irreversible investment, the numerous and complicated risk factors. Therefore, it is necessary to analyze and evaluate the investment risk before accepting project. On the basis of analyzing the mining project risk factors, establishing the risk evaluation index system, establishing the risk assessment model based on fuzzy comprehensive method, then evaluating the investment risk of mining project quantitatively, which provides the decision-making basis, makes the investment more scientific and safer and reduces the risk of investment.

scholarly journals Ecological vulnerability assessment of geological disaster-prone areas: a case study of Shanyang County in Shaanxi Province, China

2019 ◽  
Vol 131 ◽  
pp. 01105
Author(s):  
Zhao Wang ◽  
Kong Minjie ◽  
Tongsheng Li
Keyword(s):  
Human Activities ◽  
Evaluation Index System ◽  
Shaanxi Province ◽  
Mountain Areas ◽  
Topographic Features ◽  
The North ◽  
Ecological Vulnerability ◽  
Northern Regions ◽  
Prone Area ◽  
High Level

The geological environment in Qinling-Dabashan Areas is fragile due to Meteorological and hydrological conditions, topographic features, geological structures, stratum lithology and human activities. This article selected Shanyang County, a disaster-prone area in Qinling-Dabashan Areas, as the study area, based on the analysis of present situation and the driving factors of the ecological vulnerability, and selected 16 indicators to construct the evaluation index system from three aspects sensitivity, resilience and pressure. The results show that: The proportion of areas with moderate vulnerability and above in Shanyang County is 61.4%, and the overall ecological vulnerability is at a moderate to high level. Severe and extremely vulnerable areas are obviously geologically neutral, mainly distributed in the northern, central and northern regions and the central and eastern regions. Areas with high ecological vulnerability are concentrated in rivers with frequent human activities and low mountain areas with serious soil erosion. The ecological vulnerability in the east is higher than that in the west; in north-south direction, it is inverted U-shaped, and the south is slightly higher than the north; the central ecological vulnerability is the highest throughout the region.

scholarly journals Spatiotemporal Differentiation of Territorial Space Development Intensity and Its Habitat Quality Response in Northeast China

Land ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 573
Author(s):  
Zhipeng Yang ◽  
Shijun Wang ◽  
Meng Guo ◽  
Junfeng Tian ◽  
Yingjie Zhang
Keyword(s):  
Habitat Quality ◽  
Northeast China ◽  
Assessment Model ◽  
Practical Significance ◽  
Ecological Civilization ◽  
Space Planning ◽  
Invest Model ◽  
The North ◽  
Integrated Valuation ◽  
Quality Response

Studying the spatiotemporal distribution characteristics of territorial space development intensity (TSDI) and its habitat quality (HQ) response is of substantial theoretical and practical significance to optimize regional development patterns and coordinate the relationship between territorial space development and eco-environmental protection. This study establishes a comprehensive assessment model across various aspects, including land, population, economy, and input, to assess the TSDI of each county in Northeast China. We used the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) model to evaluate the HQ of each county and investigated the HQ response to TSDI. The results showed that the TSDI in Northeast China was high in the south and west, low in the north and east, and prominent in urban agglomeration areas, which increased between 2000 and 2015. The spatial pattern of HQ was low in the east and south, high in the west and north, and the HQ was degraded as a whole. Bivariate spatial autocorrelation analysis showed a significant negative spatial correlation between TSDI and HQ, and distinct patterns of local spatial agglomeration were identified. Our findings provide guidelines for territorial space planning and may offer a reference for the ecological civilization construction and the coordinated development of Northeast China.

Industrial Cluster Competitiveness Evaluation Model Research Based on Entropy Weight TOPSIS Method

2014 ◽  
Vol 584-586 ◽  
pp. 2676-2680 ◽  
Author(s):  
Yuan Yuan Zhang ◽  
Fu Zhou Luo
Keyword(s):  
Evaluation Model ◽  
Core Competencies ◽  
Ferrous Metal ◽  
Industrial Clusters ◽  
Evaluation Index System ◽  
Assessment Model ◽  
Shaanxi Province ◽  
Evaluation Index ◽  
Topsis Method ◽  
Entropy Weight

Existing competitiveness evaluation methods of industrial clusters is too subjective and can’t be a true reflection of its core competencies; evaluation index is not uniform and can’t form a competitiveness evaluation index system. We took non-ferrous metal industry cluster of Shaanxi Province as an example, built a competitive assessment model of industrial clusters from scale, market, innovation, and efficiency competitiveness. We used Entropy-TOPSIS method to analyze. The results show that Entropy-TOPSIS method is more objective and matches the actual development in the evaluation of industrial clusters competitiveness.

scholarly journals Mapeamento e avaliação ecológica de Áreas de Preservação Permanente do rio Catu, Alagoinhas, Bahia, Brasil

2014 ◽  
Vol 14 ◽  
Author(s):  
Grice Anne Dos Santos Vaz ◽  
Mara Rojane Barros de Matos
Keyword(s):  
Urban Areas ◽  
Landscape Connectivity ◽  
Ecological Integrity ◽  
Vulnerability Index ◽  
Forest Fragments ◽  
Environmental Laws ◽  
The North ◽  
Ecological Vulnerability ◽  
The Status ◽  
Remnant Forest

The Catu river micro-basin is part of the North Reconcavo Hydrographic Basin that has been experiencing degradation due to anthropogenic disturbances during recent decades. To better understand the status of the Catu river, the present study evaluated and mapped the ecological integrity of the vegetation fragments in the Permanent Preservation Area along its banks. We used the Relative Ecological Vulnerability index, the landscape connectivity, the Fluvial Functionality Index and a decision-making key for recovering degraded areas. Our results show that forest fragments along the Catu river are very isolated and more than 50% are highly vulnerable to biodiversity losses. The lowest level of fluvial functionality was found in urban areas and the highest in a remnant forest area within the city of Alagoinhas. In addition to the implementation of key actions for the recovery of the areas diagnosed, higher enforcement of environmental laws will be required, as well as urban planning reviews.

scholarly journals Gridded Assessment of Ecological Vulnerability in Loess Hilly Region of Western Henan Province, China

2021 ◽  
pp. 220-237
Author(s):  
Pei Zhao, Chi Zhang, Zhiwei Sheng, Jingyan Chu
Keyword(s):  
Land Use ◽  
Evaluation Model ◽  
Principal Component ◽  
Henan Province ◽  
Evaluation Index System ◽  
Matrix Analysis ◽  
Ecological Environment ◽  
Hilly Region ◽  
Ecological Vulnerability ◽  
Loess Hilly Region

Based on meteorological, remote sensing, socio-economic data in 2000 and 2019 and PSR (Pressure-State-Response) evaluation model, an evaluation index system of ecological vulnerability in the loess hilly region of western Henan Province was constructed. Using spatial principal component analysis and spatial autocorrelation analysis, the ecological vulnerability of the study area was quantitatively evaluated with 2km×2km grid as the research scale, and the driving force of ecological vulnerability was determined by principal component load matrix analysis. The results show that: (1) The ecological environment in the Loess hilly region of western Henan showed a deteriorating trend from 2000 to 2019. (2) The vulnerability degree of the ecological environment in different counties was obviously different, and the vulnerability degree in the main city and suburbs was always at an extreme vulnerable level, while other regions showed different trends. (3) From 2000 to 2019, the ecological vulnerability had significant positive correlation and aggregation characteristics. The H-H clustering areas were mainly distributed in extreme vulnerable areas, while the L-L clustering areas are mainly related to negligible and light vulnerable areas. (4) The main driving factors of ecological vulnerability in the loess hilly region of western Henan are elevation, slope, terrain relief, degree of land use, annual mean precipitation, NDVI, annual mean temperature, land use type and urbanization rate.

Comprehensive evaluation of kraft pulp properties from fast-growing woods

TAPPI Journal ◽  
2010 ◽  
Vol 9 (6) ◽  
pp. 34-39
Author(s):  
AIYU QU ◽  
YANHUI AO ◽  
JUN YAN ◽  
GUIGAN FANG
Keyword(s):  
Kraft Pulp ◽  
Comprehensive Evaluation ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Wood Cellulose ◽  
Fuzzy Matrix ◽  
Fast Growing ◽  
Pulp Properties ◽  
Evaluation Index Systems

To develop new wood cellulose resources and fast-growing pulpwood plantation fiber sources, it is very important to evaluate their pulping properties. A comprehensive multi-index pulping-suitability evaluation model is investigated in this paper by considering four fast-growing wood species. First, a new evaluation-index system for kraft pulp was developed based on traditional evaluation-index systems. Then, the membership degree of every index was analyzed to obtain a fuzzy matrix. The proportional contribution of each parameter to the main pulping properties could then be determined. Finally, a comprehensive evaluation model of kraft pulp properties was developed. The model is reliable compared with traditional assessment methods. The results confirmed the feasibility and rationality of developing new wood cellulose resources and fast-growing pulpwood plantations using fuzzy comprehensive evaluations.

scholarly journals Research on Utility Evaluation of Grid Investment considering Risk Preference of Decision-Makers

2020 ◽  
Vol 2020 ◽  
pp. 1-16
Author(s):  
Hongliang Wu ◽  
Daoxin Peng ◽  
Ling Wang
Keyword(s):  
Index System ◽  
Evaluation Model ◽  
Risk Preference ◽  
System Optimization ◽  
Decision Makers ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Risk Appetite ◽  
Utility Evaluation ◽  
The Index System

Effectiveness evaluations are one of the important ways to guide grid investment and to improve investment efficiency. Improving the effectiveness of grid investment evaluations is studied based on the optimization of the investment evaluation index system and the utility evaluation model. The index system is optimized by establishing an evaluation index system of grid investment effectiveness, considering the redundancy between the indices, and constructing an ISM-DEA model. The utility function model was introduced to fully consider the different risk appetites of decision-makers, and a utility evaluation model that takes risk appetite into account was established. An improved weight integration model based on multiobjective optimization was established by considering the minimum deviation and the trend-optimal objective function when setting the index weights. The calculation results show that the feasibility of the index system optimization model and utility evaluation model constructed in this study is verified under the premise of satisfying the assumptions. By adjusting the risk preference coefficient of decision-makers, the dynamic optimization of the grid investment utility evaluation results can be realized.

Sign in / Sign up

Export Citation Format

Share Document