According to the essential features of urban economic strips, this paper is intended to point out that Chengdu-Chongqing strip has so far been an urban area in geographic or spatial sense, but not an urban economic st...According to the essential features of urban economic strips, this paper is intended to point out that Chengdu-Chongqing strip has so far been an urban area in geographic or spatial sense, but not an urban economic strip in economic sense.On further basis of analyzing several problems existing inthe development of Chengdu-Chongqing economic strip,some countermeasures are correspondingly put forward hereafter.展开更多
The SO 2 emission sources of the Chengdu-Chongqing economic zone were divided into 556 emissions units according to four different categories,which are city,industry,point sources,and area sources.The CALPUFF model wa...The SO 2 emission sources of the Chengdu-Chongqing economic zone were divided into 556 emissions units according to four different categories,which are city,industry,point sources,and area sources.The CALPUFF model was used to calculate the contribution of each unit,and consequently obtain an influence-transferring matrix.To ensure that the SO 2 concentrations of 46 cities and counties in the Chengdu-Chongqing economic zone meet air quality standards,an emission optimization model was developed to calculate optimal emissions of each emission unit under different development scenarios.The result showed the optimal emissions of SO 2 by different provinces and industries.To achieve the target of restricting and optimizing development,corresponding planning programs were developed for every district.展开更多
为探究成渝地区双城经济圈NPP时空变化及与气候的关系,基于MOD17A3产品NPP数据,采用一元线性回归模型模拟2001—2020年植被NPP演变趋势,分析植被NPP变化特征,结合ANUSPLIN插值的气象数据,采用相关性分析法定量分析气候变化对研究区植被...为探究成渝地区双城经济圈NPP时空变化及与气候的关系,基于MOD17A3产品NPP数据,采用一元线性回归模型模拟2001—2020年植被NPP演变趋势,分析植被NPP变化特征,结合ANUSPLIN插值的气象数据,采用相关性分析法定量分析气候变化对研究区植被NPP变化的影响。研究表明:(1)研究区内植被NPP整体呈现缓慢增长的趋势,增长率为7.53 g C·m^(-2)·a^(-1),同时植被NPP均值分布呈现四周高中间低的空间格局。(2)研究区内气候因子对植被NPP变化的影响存在空间异质性,在眉山市、乐山市、雅安市以及重庆市黔江区、彭水县部分地区气温与植被NPP负相关关系明显,其呈正相关关系的区域广泛分布在成渝城市群的中部和东部;降水与植被NPP呈正相关关系的区域面积占比达到92.46%。(3)研究区主要受非气候因子影响,面积占比高达86.87%,说明人类活动对植被NPP变化的影响愈来愈烈,研究人为影响应是成渝城市群生态修复的重点。展开更多
文摘According to the essential features of urban economic strips, this paper is intended to point out that Chengdu-Chongqing strip has so far been an urban area in geographic or spatial sense, but not an urban economic strip in economic sense.On further basis of analyzing several problems existing inthe development of Chengdu-Chongqing economic strip,some countermeasures are correspondingly put forward hereafter.
基金supported by the project of Megaregional SEA of the Chengdu-Chongqing economic zone (No. 2110203)the National High Technology Research and Development Program (863) of China (No. 2006AA06A307)supported by the National Basic Research Foundation for Public Welfare Research Institutes (No. 2009KYYW11)
文摘The SO 2 emission sources of the Chengdu-Chongqing economic zone were divided into 556 emissions units according to four different categories,which are city,industry,point sources,and area sources.The CALPUFF model was used to calculate the contribution of each unit,and consequently obtain an influence-transferring matrix.To ensure that the SO 2 concentrations of 46 cities and counties in the Chengdu-Chongqing economic zone meet air quality standards,an emission optimization model was developed to calculate optimal emissions of each emission unit under different development scenarios.The result showed the optimal emissions of SO 2 by different provinces and industries.To achieve the target of restricting and optimizing development,corresponding planning programs were developed for every district.
文摘为探究成渝地区双城经济圈NPP时空变化及与气候的关系,基于MOD17A3产品NPP数据,采用一元线性回归模型模拟2001—2020年植被NPP演变趋势,分析植被NPP变化特征,结合ANUSPLIN插值的气象数据,采用相关性分析法定量分析气候变化对研究区植被NPP变化的影响。研究表明:(1)研究区内植被NPP整体呈现缓慢增长的趋势,增长率为7.53 g C·m^(-2)·a^(-1),同时植被NPP均值分布呈现四周高中间低的空间格局。(2)研究区内气候因子对植被NPP变化的影响存在空间异质性,在眉山市、乐山市、雅安市以及重庆市黔江区、彭水县部分地区气温与植被NPP负相关关系明显,其呈正相关关系的区域广泛分布在成渝城市群的中部和东部;降水与植被NPP呈正相关关系的区域面积占比达到92.46%。(3)研究区主要受非气候因子影响,面积占比高达86.87%,说明人类活动对植被NPP变化的影响愈来愈烈,研究人为影响应是成渝城市群生态修复的重点。