We have used the Yellow River Delta （Dongying section） as our study area to address the project of ＂Three Networks Greening＂ （TNG）. With the use of GIS technology and from an ecological point of view, an optimal...We have used the Yellow River Delta （Dongying section） as our study area to address the project of ＂Three Networks Greening＂ （TNG）. With the use of GIS technology and from an ecological point of view, an optimal allocation scheme of land resources is constructed and applied to guide the adjustment of land resources. Given this scheme, we have calculated that the area of land suitable for forest and shrubs without greening is 2256 km^2. Simultaneously, acting on the layout of the TNG project, afforestation site types are prepared and improved. Soil types, microrelief, salinity and underwater levels are combined as major classification factors and irrigation conditions as a reference to classify sites into eight types. In this way, land suitable for forest and grass is afforested given particular planting patterns. Finally, by overlaying this forestry site type map with the TNG plan map, some suggestions and strategies are proposed and used to direct the TNG project. An ecological oasis of the Yellow River Delta should be the result.展开更多
The economic losses caused by water pollution,air pollution and noise pollution in the Yellow River Delta are estimated,and the green GDP is calculated. The results show that water pollution caused economic losses of ...The economic losses caused by water pollution,air pollution and noise pollution in the Yellow River Delta are estimated,and the green GDP is calculated. The results show that water pollution caused economic losses of about 541. 5814 million yuan in the Yellow River Delta in 2010; particulate matter caused health risk economic losses of 163. 1369 million yuan,and excess mortality economic losses of33. 4742 million yuan; noise pollution caused economic losses of 594. 2768 million yuan. The total losses reach approximately 2705. 198 million yuan,accounting for 0. 97% of the total GDP. After subtracting the total losses from the total regional GDP( 541. 58 billion yuan),the revised green GDP is about 536. 3127 billion yuan. Obviously,environmental pollution has a certain impact on the economic growth.The coordinated development of environment and economy can be achieved by adjusting the industrial structure,developing circular economy and so on.展开更多
We take Shunde District,Foshan City in Guangdong Province for example,to carry out SWOT analysis of urban greening maintenance and management.The strengths of greening management and maintenance in Shunde District are...We take Shunde District,Foshan City in Guangdong Province for example,to carry out SWOT analysis of urban greening maintenance and management.The strengths of greening management and maintenance in Shunde District are as follows:(i)The greening area and quality are continuously improved in the downtown of Shunde District;(ii)The management and maintenance work is carried out well;(iii)The management and maintenance level tends to be increasingly perfected.The weaknesses of greening management and maintenance are as follows:(i)The fees for greening management and maintenance are very low;(ii)There is corner as yet untouched in the junction of some town streets;(iii)The greening management and maintenance technicians are unprofessional;(iv)The greening management is not in place;(v)There is management vacancy phenomenon in the management and maintenance of regional green space;(vi)The design and construction phase is flawed.Finally,based on the analysis of strengths and weaknesses of greening,we put forth the recommendations for the development of management and maintenance in urban green space.展开更多
为打造绿色发展高地,协同推进长三角区域生态环境高水平保护和经济高质量发展,本研究从绿色低碳经济、绿色低碳环境、绿色节能降碳、绿色低碳生活、绿色低碳创新和绿色低碳政策6个维度选择29个指标构建长三角绿色低碳发展指数(green and...为打造绿色发展高地,协同推进长三角区域生态环境高水平保护和经济高质量发展,本研究从绿色低碳经济、绿色低碳环境、绿色节能降碳、绿色低碳生活、绿色低碳创新和绿色低碳政策6个维度选择29个指标构建长三角绿色低碳发展指数(green and low-carbon development index,GLCDI),并基于专家咨询法和博弈论组合赋权法确定组合权重,由下至上逐级加权求和得到2015、2018和2021年区域41个城市GLCDI得分,对比分析长三角区域一体化发展国家战略实施前后长三角地区绿色低碳发展水平的差异。结果表明:(1)长三角区域GLCDI平均得分整体呈上升趋势,且自2018年长三角区域一体化发展国家战略实施以来,区域整体绿色低碳发展速度加快。就具体城市而言,上海、苏州和杭州市绿色低碳发展水平最高。(2)长三角区域绿色低碳经济、绿色低碳环境、绿色节能降碳、绿色低碳创新和绿色低碳政策指数得分均呈上升趋势;绿色低碳生活指数得分先上升后稍有下降,但2021年得分依然高于2015年。(3)长三角一体化政策实施,对中等城市、大型城市和超大城市绿色低碳发展的促进作用更加明显。总体来看,长三角区域41个城市绿色低碳发展水平高低不一,区域间不平衡现象依旧突出。研究结果可为持续推进长三角地区绿色低碳发展提供科学依据。展开更多
基金supported by the National Science Foundation of China (Grant No.40771172)the Main Direction Program of Knowledge In-novation of the Chinese Academy of Sciences (kzcx2-yw-308)
文摘We have used the Yellow River Delta （Dongying section） as our study area to address the project of ＂Three Networks Greening＂ （TNG）. With the use of GIS technology and from an ecological point of view, an optimal allocation scheme of land resources is constructed and applied to guide the adjustment of land resources. Given this scheme, we have calculated that the area of land suitable for forest and shrubs without greening is 2256 km^2. Simultaneously, acting on the layout of the TNG project, afforestation site types are prepared and improved. Soil types, microrelief, salinity and underwater levels are combined as major classification factors and irrigation conditions as a reference to classify sites into eight types. In this way, land suitable for forest and grass is afforested given particular planting patterns. Finally, by overlaying this forestry site type map with the TNG plan map, some suggestions and strategies are proposed and used to direct the TNG project. An ecological oasis of the Yellow River Delta should be the result.
基金Supported by Binzhou Soft Science Research Project(2014RKX10)Binzhou Science and Technology Development Plan Project(2013ZC1606)
文摘The economic losses caused by water pollution,air pollution and noise pollution in the Yellow River Delta are estimated,and the green GDP is calculated. The results show that water pollution caused economic losses of about 541. 5814 million yuan in the Yellow River Delta in 2010; particulate matter caused health risk economic losses of 163. 1369 million yuan,and excess mortality economic losses of33. 4742 million yuan; noise pollution caused economic losses of 594. 2768 million yuan. The total losses reach approximately 2705. 198 million yuan,accounting for 0. 97% of the total GDP. After subtracting the total losses from the total regional GDP( 541. 58 billion yuan),the revised green GDP is about 536. 3127 billion yuan. Obviously,environmental pollution has a certain impact on the economic growth.The coordinated development of environment and economy can be achieved by adjusting the industrial structure,developing circular economy and so on.
基金Supported by Scientific Research Project of Shunde Daliang Urban Administration Bureau in 2010
文摘We take Shunde District,Foshan City in Guangdong Province for example,to carry out SWOT analysis of urban greening maintenance and management.The strengths of greening management and maintenance in Shunde District are as follows:(i)The greening area and quality are continuously improved in the downtown of Shunde District;(ii)The management and maintenance work is carried out well;(iii)The management and maintenance level tends to be increasingly perfected.The weaknesses of greening management and maintenance are as follows:(i)The fees for greening management and maintenance are very low;(ii)There is corner as yet untouched in the junction of some town streets;(iii)The greening management and maintenance technicians are unprofessional;(iv)The greening management is not in place;(v)There is management vacancy phenomenon in the management and maintenance of regional green space;(vi)The design and construction phase is flawed.Finally,based on the analysis of strengths and weaknesses of greening,we put forth the recommendations for the development of management and maintenance in urban green space.
文摘为打造绿色发展高地,协同推进长三角区域生态环境高水平保护和经济高质量发展,本研究从绿色低碳经济、绿色低碳环境、绿色节能降碳、绿色低碳生活、绿色低碳创新和绿色低碳政策6个维度选择29个指标构建长三角绿色低碳发展指数(green and low-carbon development index,GLCDI),并基于专家咨询法和博弈论组合赋权法确定组合权重,由下至上逐级加权求和得到2015、2018和2021年区域41个城市GLCDI得分,对比分析长三角区域一体化发展国家战略实施前后长三角地区绿色低碳发展水平的差异。结果表明:(1)长三角区域GLCDI平均得分整体呈上升趋势,且自2018年长三角区域一体化发展国家战略实施以来,区域整体绿色低碳发展速度加快。就具体城市而言,上海、苏州和杭州市绿色低碳发展水平最高。(2)长三角区域绿色低碳经济、绿色低碳环境、绿色节能降碳、绿色低碳创新和绿色低碳政策指数得分均呈上升趋势;绿色低碳生活指数得分先上升后稍有下降,但2021年得分依然高于2015年。(3)长三角一体化政策实施,对中等城市、大型城市和超大城市绿色低碳发展的促进作用更加明显。总体来看,长三角区域41个城市绿色低碳发展水平高低不一,区域间不平衡现象依旧突出。研究结果可为持续推进长三角地区绿色低碳发展提供科学依据。
