Analyzing the sustainable development of a given region can provide an important reference and guide for future orientation.The study selects Turpan(including Gaochang District,Shanshan County,and Toksun County)in Xin...Analyzing the sustainable development of a given region can provide an important reference and guide for future orientation.The study selects Turpan(including Gaochang District,Shanshan County,and Toksun County)in Xinjiang Uygur Autonomous Region of Northwest China as the study area and first investigates the essence of regional sustainable development.Based on the relevant data of the population,economy,and environment of Turpan from 2002 to 2018,we constructed an evaluation index system for three dimensions,namely,the population,economy,and environment,and analyzed them systematically.Specifically,we quantitatively calculated the comprehensive evaluation index,coupling degree,and coupling coordination degree of the sustainable development system of the study area.The study finds that Turpan has become increasingly sustainable and orderly;the development level has continually improved from near imbalance to positive coordination.During the study period,the government has adopted appropriate models and paths to promote positive interactions among the population,economy,and environment based on engineering techniques and ecological means.The results show that the coupling coordination degree has increased from 0.3692 to 0.8894 during the period 2002–2018,which reflects the actual situation of Turpan and indicates that the proposed analysis method can effectively measure and evaluate the level of sustainable development in this region.Moreover,the study also puts forward main functional zoning of Turpan(i.e.,Gaochang District as an optimized development zone,Shanshan County as a major agricultural production zone,and Toksun County as a key ecological function zone)and regional planning principles based on the population,economic,and environmental coupling analysis for the three jurisdictions in Turpan.展开更多
Central Asia(CA)occupies the hinterland of the Eurasian continent,containing the countries of Uzbekistan,Kyrgyzstan,Turkmenistan,Tajikistan,and Kazakhstan[1,2].Being isolated by the Pamir Mountains in Tajikistan,the T...Central Asia(CA)occupies the hinterland of the Eurasian continent,containing the countries of Uzbekistan,Kyrgyzstan,Turkmenistan,Tajikistan,and Kazakhstan[1,2].Being isolated by the Pamir Mountains in Tajikistan,the Tibetan Plateau and the Tian Shan Mountains on the border between China and Kyrgyzstan.展开更多
干旱区城市绿化树种在截留沙尘、降低大气颗粒污染物浓度、改善城市生态环境方面发挥着不可替代的作用。本文对新疆南部典型绿洲城市——阿克苏市不同功能区的法国梧桐(Platanus acerifolia)、新疆杨(Populus alba var.pyramidalis)、...干旱区城市绿化树种在截留沙尘、降低大气颗粒污染物浓度、改善城市生态环境方面发挥着不可替代的作用。本文对新疆南部典型绿洲城市——阿克苏市不同功能区的法国梧桐(Platanus acerifolia)、新疆杨(Populus alba var.pyramidalis)、圆冠榆(Ulmus densa)和小叶白腊(Fraxinus sogdiana)的叶片平均滞尘量进行了对比,量化了叶片自身因素、自然因素、人为因素对单位滞尘量的影响程度,并对这3个因素对滞尘量的影响进行了权重分析。结果表明:对同一功能区而言,树种平均滞尘量次序为法国梧桐(5.54g·m-2)、新疆杨(2.93g·m-2)、圆冠榆(2.50g·m-2)、小叶白腊(1.36g·m-2)。对不同功能区而言,水泥厂绿化树种叶片平均滞尘量最大,其次为居民区、公园区、交通区、工业区、城郊防护林区。影响树种滞尘能力的3个因素中,人为因素权重最大,贡献率为0.89;自然因素其次,贡献率为0.45;而叶片自身因素的影响最低,贡献率为-0.13。可见,在防止沙尘污染时应尽量减轻人为活动所引起的二次扬尘。展开更多
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20060303),the“Light of West China”Program of the Chinese Academy of Sciences(2018-XBQNXZ-B-017),and the“High-Level Talents Project”in Xinjiang(Y942171).Data collection and analysis are supported by the Sino-German Joint Research Center for the Management of Ecosystems and Environmental Changes in Arid Lands and the Research Center for Ecology and Environment of Central Asia of the Chinese Academy of Sciences.Special thanks are given to the support of the“One Hundred Person Project”of the Chinese Academy of Sciences(Y931201).
文摘Analyzing the sustainable development of a given region can provide an important reference and guide for future orientation.The study selects Turpan(including Gaochang District,Shanshan County,and Toksun County)in Xinjiang Uygur Autonomous Region of Northwest China as the study area and first investigates the essence of regional sustainable development.Based on the relevant data of the population,economy,and environment of Turpan from 2002 to 2018,we constructed an evaluation index system for three dimensions,namely,the population,economy,and environment,and analyzed them systematically.Specifically,we quantitatively calculated the comprehensive evaluation index,coupling degree,and coupling coordination degree of the sustainable development system of the study area.The study finds that Turpan has become increasingly sustainable and orderly;the development level has continually improved from near imbalance to positive coordination.During the study period,the government has adopted appropriate models and paths to promote positive interactions among the population,economy,and environment based on engineering techniques and ecological means.The results show that the coupling coordination degree has increased from 0.3692 to 0.8894 during the period 2002–2018,which reflects the actual situation of Turpan and indicates that the proposed analysis method can effectively measure and evaluate the level of sustainable development in this region.Moreover,the study also puts forward main functional zoning of Turpan(i.e.,Gaochang District as an optimized development zone,Shanshan County as a major agricultural production zone,and Toksun County as a key ecological function zone)and regional planning principles based on the population,economic,and environmental coupling analysis for the three jurisdictions in Turpan.
基金supported by the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA20060303)the Fund“Light of West China”Program of Chinese Academy of Sciences(2018-XBQNXZ-B-017)+1 种基金the High-level Talents Project in Xinjiang(Y942171)“One Hundred Person Project of Chinese Academy of Sciences”(Y931201)。
文摘Central Asia(CA)occupies the hinterland of the Eurasian continent,containing the countries of Uzbekistan,Kyrgyzstan,Turkmenistan,Tajikistan,and Kazakhstan[1,2].Being isolated by the Pamir Mountains in Tajikistan,the Tibetan Plateau and the Tian Shan Mountains on the border between China and Kyrgyzstan.