scholarly journals Evaluation Analysis of Forest Ecological Security in 11 Provinces (Cities) of the Yangtze River Economic Belt

2021 ◽  
Vol 13 (9) ◽  
pp. 4845
Author(s):  
Yiran Wang ◽  
Dahong Zhang ◽  
Yahui Wang
Keyword(s):  
Principal Component Analysis ◽  
Yangtze River ◽  
Principal Component ◽  
Ecological Security ◽  
Economic Pressure ◽  
The Yangtze River ◽  
Upward Trend ◽  
Response Index ◽  
Pressure Index ◽  
Resource Index

The forest ecological security of the Yangtze River Economic Belt has an important influence on improving the regional environment and promoting the sustainable development of the social economy. Therefore, the aim of this paper is to provide countermeasures and suggestions for improving the level of regional ecological security by quantitatively analyzing the forest ecological security status of the Yangtze River Economic Belt and the tributaries of the Yangtze River. Using three main aspects, i.e., resources, socio-economic pressure and maintenance response, the study established 26 indicators that affect the forest ecological security of 11 provinces (cities) in the Yangtze River Economic Belt. The index weights were determined by principal component analysis, and the forest ecological security levels of 11 provinces (cities) in the Yangtze River Economic Belt were classified and evaluated by the grey clustering method. The results show the following: (1) the principal component analysis determined the weight of the three aspect indicators. The order is as follows: resource index > socio-economic pressure index > maintenance response index. This means that the basic environmental condition which the forest growth depends on and quality and quantity of forest is most important, and the maintenance activities performed by human beings in forest resources need to be strengthened. (2) The level of the forest ecological security in all the provinces (cities) of the Yangtze River Economic Belt is relatively good, with an upward trend. The level of forest ecological security in each province (city) decreases from the upper reaches of the Yangtze River basin to the lower reaches, and the level of forest ecological security in the central cities is lower. (3) The resource index, socio-economic pressure index and maintenance response index of all the provinces and cities showed an upward trend in these four years. The provinces with a significantly higher forest resource index include Yunnan and Guizhou. Shanghai, Chongqing, Sichuan, Hunan and Jiangxi were the provinces with significantly higher socio-economic pressure values; Yunnan province, Shanghai, Jiangxi Province and Hubei province were the provinces with higher forest maintenance response values.

Principal Component Analysis of Eutrophication in the Yangtze River Estuary

2012 ◽  
Vol 209-211 ◽  
pp. 1910-1914
Author(s):  
Qiang An ◽  
Lu Lin ◽  
Yuan Yuan Liu ◽  
Ning Qiu Huang ◽  
Bin Zhao
Keyword(s):  
Principal Component Analysis ◽  
Yangtze River ◽  
River Estuary ◽  
Principal Component ◽  
Component Analysis ◽  
Yangtze River Estuary ◽  
Adjacent Area ◽  
The Yangtze River ◽  
Chl A ◽  
The Yangtze River Estuary

The Yangtze River Estuary has become increasingly challenged by various destructive threats to its ecosystem such as the frequent occurrence of harmful algal blooms. Four cruises were carried out in the Yangtze River Estuary and its adjacent area in 2006. Ten variables including CODMn, PO43--P, SiO3-Si, NO3--N, NO2--N, NH4+-N, TN, TP, TOC and chl-a were analyzed by exploratory data analysis. Nitrate was the dominant form of TN throughout the year. Principal component analysis (PCA) was applied to estimate the sources of nutrients contamination in 2006. Two principal components (PCs) were extracted, namely, CODMn, PO43--P, NO3--N and TN for PC1, NO2--N and chl-a for PC2. Influenced by anthropogenic sewage, PC1 near Shidongkou, Bailonggang, Xinhe and Zhuyuan outlets was higher than other stations. The primary influencing factor of PC1 were the contaminants carried by runoff from the Yangtze River. And the dominating factors of eutrophication in 2006 were CODMn, PO43--P, NO3--N, TN and chl-a in the Yangtze River Estuary and its adjacent area.

scholarly journals Fuzzy Principal Component Analysis Model on Evaluating Innovation Service Capability

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hui Wu ◽  
Xiao-min Gu
Keyword(s):  
Principal Component Analysis ◽  
Yangtze River ◽  
Principal Component ◽  
Yangtze River Delta ◽  
The Yangtze River ◽  
Topsis Method ◽  
Collaborative Innovation ◽  
Service Capability ◽  
Fuzzy Principal Component Analysis ◽  
The Yangtze River Delta

This article mainly evaluates the regional innovation service capacity through the TOPSIS method. Firstly, a regional collaborative innovation network is constructed and the Yangtze River Delta region is selected for analysis. Secondly, an evaluation index is constructed for innovation service capability, fuzzy principal component analysis is used to refine quantitative and qualitative index data of innovation service capability, and the index weight is calculated. Then the region of the Yangtze River Delta is selected and TOPSIS method is used to assist in the effective decision-making process of the evaluation of innovative service capabilities. Due to the large amount of data in this article, MATLAB programming is used. Finally, through the comparative analysis of the results, countermeasures and suggestions are put forward from the perspective of the improvement of collaborative innovation service capabilities.

scholarly journals Temporal and Spatial Distributions of Ecological Vulnerability under the Influence of Natural and Anthropogenic Factors in an Eco-Province under Construction in China

2018 ◽  
Vol 10 (9) ◽  
pp. 3087 ◽  
Author(s):  
Qian Ding ◽  
Xun Shi ◽  
Dafang Zhuang ◽  
Yong Wang
Keyword(s):  
Yangtze River ◽  
Principal Component ◽  
Anthropogenic Factors ◽  
Land Resource ◽  
The Yangtze River ◽  
Irrigation Channel ◽  
The North ◽  
Ecological Vulnerability ◽  
Under Construction ◽  
Natural And Anthropogenic Factors

Ecological vulnerability evaluations can provide a scientific foundation for ecological environment management. Studies of ecological vulnerability have mainly focused on typical ecologically vulnerable regions with poor natural conditions or severe human interference, and such studies have rarely considered eco-provinces. Taking Jiangsu, an eco-province under construction in China, as the study area, we evaluated the spatiotemporal distributions of ecological vulnerability in 2005, 2010 and 2015 at the kilometer grid scale and analyzed the effects of natural and anthropogenic factors on ecological vulnerability. The pressure state response model (PSR), geographic information systems (GIS), spatial principal component analysis, spatial autocorrelation analysis, and correlation analysis methods were used. The results of the study are as follows: (i) the effects of anthropogenic factors on ecological vulnerability are greater than those of natural factors, and landscape evenness and the land resource utilization degree are the main factors that influence ecological vulnerability. (ii) Jiangsu Province is generally lightly to moderately vulnerable. Slight vulnerability is mainly observed in areas with water bodies. Light vulnerability is concentrated in paddy fields between the Main Irrigation Channel of North Jiangsu and the Yangtze River. Medium, heavy and extreme vulnerability areas are mainly composed of arable and built-up land. Medium vulnerability is mainly distributed to the north of the Main Irrigation Channel of North Jiangsu; heavy vulnerability is scattered to the south of the Yangtze River and in north-western hilly areas; and extreme vulnerability is concentrated in hilly areas; (iii) Ecological vulnerability displays a clustering characteristic. High-high (HH) regions are mainly distributed in heavy and extreme vulnerability regions, and low-low (LL) regions are located in slight vulnerability areas. (iv) Ecological vulnerability has gradually deteriorated. From 2005 to 2010, the vulnerability in hilly areas considerably increased, and from 2010 to 2015, the vulnerability in urban and north-eastern coastal built-up land areas significantly increased. Emphasis should be placed on the prevention and control of ecological vulnerability in high-altitude, urban and coastal areas.

Early warning simulation of urban ecological security in the Yangtze River Economic Belt: a case study of Chongqing, Wuhan, and Shanghai

2020 ◽  
Vol 63 (10) ◽  
pp. 1811-1833
Author(s):  
Xiaoling Ke ◽  
Amal Mougharbel ◽  
Haixiang Guo ◽  
Deyun Wang ◽  
Yan Wang ◽  
...  
Keyword(s):  
Early Warning ◽  
Yangtze River ◽  
Ecological Security ◽  
The Yangtze River

scholarly journals Factors Influencing Ground Settlements on Different Geomorphology Units Based on Principal Component Analysis

2018 ◽  
Vol 175 ◽  
pp. 04038
Author(s):  
XiaoBei Yuana ◽  
JunCai Li ◽  
Peng Zhang ◽  
YiLi Dai ◽  
KaiJun Rui
Keyword(s):  
Principal Component Analysis ◽  
Moisture Content ◽  
Yangtze River ◽  
Soft Soil ◽  
Principal Component ◽  
Compression Modulus ◽  
Component Analysis ◽  
Poisson's Ratio ◽  
Unit Weight ◽  
Variable Parameters

Based on the case Nanjing Metro Line 4, the method Principal Component Analysis (PCA) was used to study the influence of ground settlement by shield tunnel construction on different geomorphology units. Correlation analysis and weighted least square method (WLS) were applied for variables selection and to obtain their relationship with settlement. 5-7 principal components could be used to present the initial 19- 21 variables after decreasing the dimensions of data. For the floodplain of Yangtze River, variable parameters that highly linearly dependent on settlement were depth of tunnel, distance between the roof of tunnel and the bottom of soft soil layer, thickness of soft soil, compression modulus of soil that tunnel passed through and speed of the cutter head. For the Qinhuai ancient channel, variable parameters were Poisson's ratio, porosities, moisture content, unit weight, cohesion, internal friction angle, compression modulus of soil that tunnel passed through, advancing speed, earth chamber pressure. For the terrace of Yangtze River, variable parameters were cohesion, porosities, moisture content, Poisson's ratio, compression modulus and unit weight of soil. In addition, for the geomorphology unit with col landform, variable parameters were different. Residuals of regression formula are small, which will have certain reference value in practical engineering.

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