Based on the status of land ecological resources in Hohhot, 20 indexes covering nature, resource environment, economy and society were selected and the evaluation index system was established. With the principal compo...Based on the status of land ecological resources in Hohhot, 20 indexes covering nature, resource environment, economy and society were selected and the evaluation index system was established. With the principal component analysis, the land ecological security of Hohhot from 2009 to 2015 was analyzed. The results showed that the land ecological security of Hohhot was declining year by year in 2009-2015. Besides, per capital GDP and public green area, the proportion of in- dustry and the price index of agricultural and animal husbandry production materials were the key factors influencing the land ecological security of Hohhot. The key for protection of the land ecological security may lie in the protection of land quality and prevention of land degradation in farming and stock-breeding areas.展开更多
In this research,the Factor Analysis model of measuring provincial low carbon development in China has been constructed.Based on data from 30 provinces,an empirical study was developed to measure comprehensive low car...In this research,the Factor Analysis model of measuring provincial low carbon development in China has been constructed.Based on data from 30 provinces,an empirical study was developed to measure comprehensive low carbon development using the Factor Analysis model(Principal Components method and Normalized Varimax Rotation).The results reveal that the provincial marks of low carbon development are generally low and only nine provinces have high marks(more than 0.80).The results also show significant regional disparity.The provincial marks of the eastern region are higher than both the middle and western provinces of China's Mainland.All of the provinces with high marks(more than 0.90) are located in the eastern region,and those with the lowest marks(0.60) are located in the middle region.Furthermore,regional disparity in low carbon development follows the same pattern as economic development in China.Finally,some suggestions for decision-makers are presented.展开更多
Twenty-two soil samples were collected at the subregional scale （50 km2） around Gudao Town, a typical oil-producing region of the Shengli Oilfield in the Yellow River Delta, China to determine the spatial distributi...Twenty-two soil samples were collected at the subregional scale （50 km2） around Gudao Town, a typical oil-producing region of the Shengli Oilfield in the Yellow River Delta, China to determine the spatial distribution patterns and potential sources of heavy metals in soils of crude oil-polluted regions. The concentrations of total petroleum hydrocaxbons （TPHs） and heavy metals as well as other soil properties were determined and the enrichment factor values were calculated for the heavy metals measured. Principal component analysis （PCA） and cluster analysis （CA） were used to estimate potential sources contributing to the concentrations of heavy metals in the soils. The results revealed that the soils were slightly alkaline （pH = 7.33-8.05） and high in salinity （1.43-41.30 g kg-1）, TPHs （0.51 28.40 g kg-1） and organic matter （1.74-31.50 g kg-1）. The mean concentrations of the measured heavy metals Cu, Zn, Pb, Cd, Cr, Ni and V were 18.4, 78.2, 20.8, 0.19, 56.6, 26.3 and 62.1 mg kg-1, respectively. Although the concentrations of all the metals measured in this study were not high enough to exceed the national control standards, there was a significant enrichment of Cd in the study area and Zn and Ni were in the category of deficiency to minimal enrichment. The spatial distribution patterns of Cu, Cr, Ni and V were similar and partially affected by oil exploitation and petroleum hydrocarbon spills. Potential sources of Cr, Ni, V and Cu in the soils were both natural sources and petroleum hydrocarbon spills, while Zn, Pb and Cd were probably from anthropogenic sources such as farming activities and traffic.展开更多
基金Supported by the Funding Project for the Youth of Education Ministry for the Development of Liberal Arts and Social Sciences(12YJC790058)the Guidance Plan Project for the Natural Science Foundation of Hubei(2013CFC089)the Open-end Fund of Hubei Ecological Culture Research Center,China University of Geosciences(Wuhan)~~
文摘Based on the status of land ecological resources in Hohhot, 20 indexes covering nature, resource environment, economy and society were selected and the evaluation index system was established. With the principal component analysis, the land ecological security of Hohhot from 2009 to 2015 was analyzed. The results showed that the land ecological security of Hohhot was declining year by year in 2009-2015. Besides, per capital GDP and public green area, the proportion of in- dustry and the price index of agricultural and animal husbandry production materials were the key factors influencing the land ecological security of Hohhot. The key for protection of the land ecological security may lie in the protection of land quality and prevention of land degradation in farming and stock-breeding areas.
基金supported by Chinese National Science & Technology Board (Grant No. 2009DFB90120)
文摘In this research,the Factor Analysis model of measuring provincial low carbon development in China has been constructed.Based on data from 30 provinces,an empirical study was developed to measure comprehensive low carbon development using the Factor Analysis model(Principal Components method and Normalized Varimax Rotation).The results reveal that the provincial marks of low carbon development are generally low and only nine provinces have high marks(more than 0.80).The results also show significant regional disparity.The provincial marks of the eastern region are higher than both the middle and western provinces of China's Mainland.All of the provinces with high marks(more than 0.90) are located in the eastern region,and those with the lowest marks(0.60) are located in the middle region.Furthermore,regional disparity in low carbon development follows the same pattern as economic development in China.Finally,some suggestions for decision-makers are presented.
基金the water saving project funding of Ministry of Water Resources of P.R.China(code:200970)the research funding of North China University of Water Conservancy and Electric Power of 2006+1 种基金the project of Henan Excellent Teacher Funding of 2006,Henan Science and Technology project(092102310197)Henan natural science research project of Education Department(2009A170004)
基金Supported by the Environmental Protection Public Welfare Industry Research Program of China(No.201109022)
文摘Twenty-two soil samples were collected at the subregional scale （50 km2） around Gudao Town, a typical oil-producing region of the Shengli Oilfield in the Yellow River Delta, China to determine the spatial distribution patterns and potential sources of heavy metals in soils of crude oil-polluted regions. The concentrations of total petroleum hydrocaxbons （TPHs） and heavy metals as well as other soil properties were determined and the enrichment factor values were calculated for the heavy metals measured. Principal component analysis （PCA） and cluster analysis （CA） were used to estimate potential sources contributing to the concentrations of heavy metals in the soils. The results revealed that the soils were slightly alkaline （pH = 7.33-8.05） and high in salinity （1.43-41.30 g kg-1）, TPHs （0.51 28.40 g kg-1） and organic matter （1.74-31.50 g kg-1）. The mean concentrations of the measured heavy metals Cu, Zn, Pb, Cd, Cr, Ni and V were 18.4, 78.2, 20.8, 0.19, 56.6, 26.3 and 62.1 mg kg-1, respectively. Although the concentrations of all the metals measured in this study were not high enough to exceed the national control standards, there was a significant enrichment of Cd in the study area and Zn and Ni were in the category of deficiency to minimal enrichment. The spatial distribution patterns of Cu, Cr, Ni and V were similar and partially affected by oil exploitation and petroleum hydrocarbon spills. Potential sources of Cr, Ni, V and Cu in the soils were both natural sources and petroleum hydrocarbon spills, while Zn, Pb and Cd were probably from anthropogenic sources such as farming activities and traffic.
