以2030年“碳达峰”为研究时点,通过IPCC(Intergovernmental Panel on Climate Change,联合国政府间气候变化专门委员会)“自下而上”法和社会网络分析法,探究不同通道情境下区际城市群公路物流碳排放及其减排潜力的网络格局,分析渤海...以2030年“碳达峰”为研究时点,通过IPCC(Intergovernmental Panel on Climate Change,联合国政府间气候变化专门委员会)“自下而上”法和社会网络分析法,探究不同通道情境下区际城市群公路物流碳排放及其减排潜力的网络格局,分析渤海通道对其产生的影响。研究表明:①2030年不同通道情境的区际城市群公路物流碳排放网络差异:陆上通道情境下,区际城市群碳交流向经济、交通发达轴带和渤海海峡端点城市集中;陆海通道情境下,区际碳交流向邻近陆上通道的城市集聚;渤海通道改善了区际城市群“渤海海峡端点城市”指向的高耗能局面。②2030年区际城市群公路物流减排潜力网络格局:以大连为减排枢纽,以渤海海峡为中心,强减排城市组对南多北少,并存在零减排城市组对;渤海通道主要通过端点城市向其他城市施以碳减排影响,对距其较远且处在公路物流边缘的部分城市的碳减排影响较为有限。展开更多
The intensity-time profiles of solar proton events（SPEs） are grouped into three types in the present study. The Type-I means that the intensity-time profile of an SPE has one peak, which occurs shortly after the ass...The intensity-time profiles of solar proton events（SPEs） are grouped into three types in the present study. The Type-I means that the intensity-time profile of an SPE has one peak, which occurs shortly after the associated solar flare and coronal mass ejection（CME）. The Type-II means that the SPE profile has two peaks： the first peak occurs shortly after the solar eruption, the second peak occurs at the time when the CME-driven shock reaches the Earth, and the intensity of the second peak is lower than the first one.If the intensity of the second peak is higher than the first one, or the SPE intensity increases continuously until the CME-driven shock reaches the Earth, this kind of intensity-time profile is defined as Type-III. It is found that most CMEs associated with Type-I SPEs have no geoeffectiveness and only a small part of CMEs associated with Type-I SPEs can produce minor（–50 n T ≤ Dst ≤–30 n T） or moderate geomagnetic storms（–100 n T≤ Dst ≤–50 n T）, but never an intense geomagnetic storm（–200 n T ≤ Dst 〈-100 n T）. However,most of the CMEs associated with Type-II and Type-III SPEs can produce intense or great geomagnetic storms（Dst ≤-200 n T）. The solar wind structures responsible for the geomagnetic storms associated with SPEs with different intensity-time profiles have also been investigated and discussed.展开更多
This work aims to identify the main factors influencing the energy-related carbon dioxide （CO2） emissions from the iron and steel industry in China during the period of 1995-2007. The logarithmic mean divisia index ...This work aims to identify the main factors influencing the energy-related carbon dioxide （CO2） emissions from the iron and steel industry in China during the period of 1995-2007. The logarithmic mean divisia index （LMDI） technique was applied with period-wise analysis and time-series analysis. Changes in energy- related CO2 emissions were decomposed into four factors： emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO2 emissions during the sampling period; on the other hand the energy consump- tion is the largest contributor to the decrease in C02 emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to C02 emissions, respectively. Policy implications are provided regarding the reduction of C02 emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.展开更多
文摘以2030年“碳达峰”为研究时点,通过IPCC(Intergovernmental Panel on Climate Change,联合国政府间气候变化专门委员会)“自下而上”法和社会网络分析法,探究不同通道情境下区际城市群公路物流碳排放及其减排潜力的网络格局,分析渤海通道对其产生的影响。研究表明:①2030年不同通道情境的区际城市群公路物流碳排放网络差异:陆上通道情境下,区际城市群碳交流向经济、交通发达轴带和渤海海峡端点城市集中;陆海通道情境下,区际碳交流向邻近陆上通道的城市集聚;渤海通道改善了区际城市群“渤海海峡端点城市”指向的高耗能局面。②2030年区际城市群公路物流减排潜力网络格局:以大连为减排枢纽,以渤海海峡为中心,强减排城市组对南多北少,并存在零减排城市组对;渤海通道主要通过端点城市向其他城市施以碳减排影响,对距其较远且处在公路物流边缘的部分城市的碳减排影响较为有限。
基金supported by the National Basic Research Program of China (973 Program,Grant No.2012CB957801)the National Natural Science Foundation of China (Grant Nos.41074132,41274193,41674166,41031064 and 11303017)+1 种基金the National Standard Research Program (Grant No.200710123)the project 985 of Nanjing University,the Advanced Discipline Construction Project of Jiangsu Province and the NKBRSF (Grant No.2014CB744203)
文摘The intensity-time profiles of solar proton events（SPEs） are grouped into three types in the present study. The Type-I means that the intensity-time profile of an SPE has one peak, which occurs shortly after the associated solar flare and coronal mass ejection（CME）. The Type-II means that the SPE profile has two peaks： the first peak occurs shortly after the solar eruption, the second peak occurs at the time when the CME-driven shock reaches the Earth, and the intensity of the second peak is lower than the first one.If the intensity of the second peak is higher than the first one, or the SPE intensity increases continuously until the CME-driven shock reaches the Earth, this kind of intensity-time profile is defined as Type-III. It is found that most CMEs associated with Type-I SPEs have no geoeffectiveness and only a small part of CMEs associated with Type-I SPEs can produce minor（–50 n T ≤ Dst ≤–30 n T） or moderate geomagnetic storms（–100 n T≤ Dst ≤–50 n T）, but never an intense geomagnetic storm（–200 n T ≤ Dst 〈-100 n T）. However,most of the CMEs associated with Type-II and Type-III SPEs can produce intense or great geomagnetic storms（Dst ≤-200 n T）. The solar wind structures responsible for the geomagnetic storms associated with SPEs with different intensity-time profiles have also been investigated and discussed.
文摘This work aims to identify the main factors influencing the energy-related carbon dioxide （CO2） emissions from the iron and steel industry in China during the period of 1995-2007. The logarithmic mean divisia index （LMDI） technique was applied with period-wise analysis and time-series analysis. Changes in energy- related CO2 emissions were decomposed into four factors： emission factor effect, energy structure effect, energy consumption effect, and the steel production effect. The results show that steel production is the major factor responsible for the rise in CO2 emissions during the sampling period; on the other hand the energy consump- tion is the largest contributor to the decrease in C02 emissions. To a lesser extent, the emission factor and energy structure effects have both negative and positive contributions to C02 emissions, respectively. Policy implications are provided regarding the reduction of C02 emissions from the iron and steel industry in China, such as controlling the overgrowth of steel production, improving energy-saving technologies, and introducing low-carbon energy sources into the iron and steel industry.
