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1.
Dynamic simulation models allow an integrated representation of human and biophysical driving forces, to test their influence on land use. Dynamic models emphasise the interactions among the components of the system and take into account feedback loops and threshold effects. In this paper, the SALU model was used to generate “what-if” scenarios to explore hypotheses on the relative role of driving forces of land-use change in the Sudano-sahelian countries of Africa. The model simulations provided useful insights to better understand the processes of land-use change. Rural population growth represents a larger stimuli for land-use change than urban population growth. Demographic variables have a greater impact on land use than recurring droughts. The demographic driving forces are slow variables while rainfall is a fast variable. Recurring droughts could be viewed as trigger events, and urban population growth and consumption as mediating factors, while rural population growth defines long-term trends. Technological change defines thresholds in land use. Land-use change results from interactions between driving forces. The timing of occurrence of drought with respect to transitions in land use has a major impact on land-use change. Polices aimed at protecting pastoral land and supporting agricultural intensification both contribute to maintain pastoral activities. Simulating a conservative carrying capacity has a major impact on land use predictions. By examining environmental, social and economic implications of various land-use scenarios, the modelling approach adopted in SALU can provide support for decision-making.  相似文献   

2.
胡家昱  刘丙军 《水文》2019,39(2):7-13
为定量探究城市河流变化驱动成因,以2005~2010年佛山市中心城区为例,分析了河网水系演变及其驱动因子,根据河网水系变化与其驱动因子间一对多的映射关系,借助空间自回归和地理加权回归模型,分别从整体和局部分析了两者间的统计关系,结果表明:(1)末级河流长度减少量占各级河流总变化量约92.3%,变化最为显著,而城镇用地对水田、工业用地对水域的侵占以及农业活动则是影响末级河流的主要驱动因子;(2)整体来看,末级河流受建设用地扩张,尤其是工业用地扩张的负面影响程度最大;局部来看,各驱动因子的负面影响程度在不同空间位置上存在差异,以水田-城镇用地因子为例,其在罗村、老城区和桂城的交界区域以及南庄、罗村和老城区的交界区域负面影响程度较大;(3)空间自回归模型对区域河网水系变化与其驱动因子间的关系有整体、直观的把握,地理加权回归模型则能够描述驱动因子影响的空间非平稳性,有利于获取局部信息,结合两种模型的特点能够更加全面地刻画河网水系演变的驱动成因。  相似文献   

3.
Human activities have become a major source of Earth’s climate change, which brings the rise of surface air temperature and subsurface ocean temperature. Therefore, promoting sustainable consumption and production patterns is imperative to minimize the use of natural resources and reduce emissions of pollutants. This study uses Economic Input–Output Life-Cycle Assessment method and structural decomposition model to identify the driving forces that influence the changes in carbon emissions from China’s residential consumption in the context of sustainable consumption. The findings of the study are as follows: (1) indirect carbon emissions from Chinese household consumption increase rapidly over time; (2) the largest carbon dioxide emitting sector turns from agriculture sector in 1992 into service sector in 2007; (3) the consumption level and the emission intensity are the main drivers that influence the change in indirect carbon emissions; and (4) the factor of consumption level presents positive effect on the emissions, while the emission intensity effect plays a negative role. Besides, the factors of urbanization, production structure, population size and consumption structure also promote the rapid increase in carbon emissions.  相似文献   

4.
Many regions of the world are experiencing an increase in frequency and intensity of floods. There has been increasing understanding among emergency preparedness and natural disaster planners that rapid urbanization is enhancing the risk from river flooding in urban areas. Many regions of Canada have been exposed to particularly severe floods over the course of the last few years, much of this due to land-use change. This study aims at understanding the risk of flooding for the City of Metro Vancouver, British Columbia, Canada, which is located in the Fraser River Delta. The paper presents a fast, efficient and reliable method that can be used to produce vegetation maps from advanced very high resolution radiometer images and SPOT vegetation maps. A 10-day maximum normalized difference vegetation index maps were produced to assess the dynamics of the urbanization process in Vancouver. Remotely sensed data show a significant decrease in vegetation cover in the Metro Vancouver City between 1984 and 2012. The proposed method can be used as an effective tool for raising early land-use change awareness and assist with flood risk management. Flood risk management has a substantial impact on human health and well-being in urban areas, and this flood risk information will be used to assess the impact of flooding and explore the complex relationship between land-use change, urbanization, flooding and impact on urban dwellers.  相似文献   

5.
Research Progress on the Impact of Urbanization on Climate Change   总被引:3,自引:0,他引:3  
The world has been undergoing a remarkable process of urbanization, especially in developing countries in recent years. The urbanization process has brought about great urban development and large population agglomeration, changes in production and lifestyle, and man-made disturbances such as greenhouse gas and pollution emissions. As the global urbanization process continues to advance, its impact on climate change continues to strengthen significantly. This paper mainly reviewed and summarized relevant researches from two aspects: the influence of urbanization on climate change and the mechanism of influence of urbanization on climate change. Urbanization causes regional warming and urban heat island effect, extreme events such as high temperature, heat wave and heavy rainfall increase in frequency, and also leads to increased urban flood risk. The increase of pollutant emission in the process of urbanization is the main cause of air quality deterioration. Urbanization also has an indirect impact on air quality by changing urban climate. Urbanization has an important impact on climatic factors such as relative humidity, wind speed, sunshine and cloud cover. The impacts of urbanization on climate change are mainly realized through underlying surface changes, greenhouse gas and pollution emissions, anthropogenic heat emissions and urban high heat capacity. Urbanization not only directly affects the regional/local climate, but also indirectly affects the regional/local climate by promoting global climate change. Therefore, the impact of urbanization on climate change has a global and regional multi-scale superposition effect.  相似文献   

6.
Wang  Zhaohua  Liu  Wei  Yin  Jianhua 《Natural Hazards》2014,75(2):257-272

Human activities have become a major source of Earth’s climate change, which brings the rise of surface air temperature and subsurface ocean temperature. Therefore, promoting sustainable consumption and production patterns is imperative to minimize the use of natural resources and reduce emissions of pollutants. This study uses Economic Input–Output Life-Cycle Assessment method and structural decomposition model to identify the driving forces that influence the changes in carbon emissions from China’s residential consumption in the context of sustainable consumption. The findings of the study are as follows: (1) indirect carbon emissions from Chinese household consumption increase rapidly over time; (2) the largest carbon dioxide emitting sector turns from agriculture sector in 1992 into service sector in 2007; (3) the consumption level and the emission intensity are the main drivers that influence the change in indirect carbon emissions; and (4) the factor of consumption level presents positive effect on the emissions, while the emission intensity effect plays a negative role. Besides, the factors of urbanization, production structure, population size and consumption structure also promote the rapid increase in carbon emissions.

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7.
气候变化和人类活动被认为是城市洪水演变的主要驱动因素,不同区域气候变化和城市化对洪水演变的影响不尽相同,科学识别城市洪水演变的关键驱动要素、量化气候变化与城市化对城市流域洪水演变的影响是城市洪水管理的重要依据。本文以高度城市化的北京市温榆河流域为例,以季节降雨量、气温、流域前期湿度、不透水面积比及流域内地下水埋深作为潜在驱动要素,对温榆河夏季不同概率的洪水建立GAMLSS模型,分析探讨城市流域洪水演变的主要驱动机制。研究结果表明:温榆河流域夏季不同概率的洪水在研究期均呈现出非一致性特性;城市不透水面积的扩张和降水是温榆河流域夏季洪水变化的主要驱动要素,不同等级洪水的变化具有不同的驱动机制,高于概率70%的小洪水的变化主要受到流域下垫面变化的影响,而小于概率45%的低频洪水的变化主要受降水的影响。  相似文献   

8.
China’s petrochemical industries are playing an important role in China’s economic development. However, the industries consume large amounts of energy and have become primary sources of carbon emission. In this paper, the change in carbon emissions from China’s petrochemical industries between 2000 and 2010 was quantitatively analyzed with the Log-Mean Divisia Index method, which was decomposed into economic output effect, industrial structural effect and technical effect. The results show that economic output effect is the most important factor driving carbon emission growth in China’s petrochemical industries; industrial structural effect has certain decrement effect on carbon emissions; adjustment of industrial structure by developing low-carbon emission industrial sectors may be a better choice for reducing carbon emissions; and the impact of technical effect varies considerably without showing any clear decrement effect trend over the period of year 2000–2010. The biggest challenge is how to make use of these factors to balance the relationship between economic development and carbon emissions. This study will promote a more comprehensive understanding of the inter-relationships of economic development, industrial structural shift, technical effect and carbon emissions in China’s petrochemical industries and is helpful for exploration of relevant strategies to reduce carbon emissions.  相似文献   

9.
北京城乡过渡区土地利用变化驱动力分析   总被引:52,自引:1,他引:52  
在多时相遥感数据和实际调查数据的支持下,采用典型样带和样点相结合的研究方法,对北京西部城乡过渡区的土地利用/覆盖变化驱动力进行了研究。结果表明,研究区的土地利用/覆盖变化受到了不同层次、多种驱动力的综合作用,人类活动从整体上改变着城乡过渡区的景观特征,政策体制转变下的经济高速增长和快速的城市化过程是北京城乡过渡区土地利用/覆盖变化的根本原因。在这个过程中,城市投资和产业的转变与农村农业用地内部的结构调整相互结合,从城市和农村两个方向共同推动着北京城乡过渡区的土地利用/覆盖变化,而地形、交通等因素则从局部尺度上决定着土地利用/覆盖变化的方向。此外,人类个体的行为选择,尤其是就业和消费选择,也在一定程度上对北京城乡过渡区的土地利用/覆盖变化起着调整和修改作用。  相似文献   

10.
Zhang  Jiawen  Liesch  Tanja  Chen  Zhao  Goldscheider  Nico 《Hydrogeology Journal》2023,31(5):1197-1208

Karst areas contain valuable groundwater resources and high biodiversity, but are particularly vulnerable to climate change and human impacts. Land-use change is the cause and consequence of global environmental change. The releases of the Climate Change Initiative-Land Cover (CCI-LC) and World Karst Aquifer Map (WOKAM) datasets have made it possible to explore global land-use changes in karst areas. This paper firstly analyses the global karst land-use distribution in 2020, as well as the land-use transition characteristics between 1992 and 2020. Then, two indicators, proportion of land-use change and dominant type of land-use change, are proposed to identify the spatial characteristics of land-use change in global karst areas. Finally, three examples of land-use change in karst areas are analyzed in detail. Land-use types and proportions of the global karst areas from large to small are as follows: forest (31.78%), bare area (27.58%), cropland (19.02%), grassland (10.87%), shrubland (7.21%), wetland (1.67%), ice and snow (1.16%) and urban (0.71%). The total area of global karst land-use change is 1.30 million km2, about 4.85% of global karst surface. The land-use change trend of global karst is dominated by afforestation, supplemented by scattered urbanization and agricultural reclamation. The tropical climate has a higher intensity of land-use change. Regions of agricultural reclamation are highly consistent with the population density. These results reflect the impact of human activities and climate change on land-use changes in global karst areas, and serve as a basis for further research and planning of land resource management.

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11.
Fan  Tijun  Luo  Ruiling  Xia  Haiyang  Li  Xiaopeng 《Natural Hazards》2014,75(2):319-332

China’s petrochemical industries are playing an important role in China’s economic development. However, the industries consume large amounts of energy and have become primary sources of carbon emission. In this paper, the change in carbon emissions from China’s petrochemical industries between 2000 and 2010 was quantitatively analyzed with the Log-Mean Divisia Index method, which was decomposed into economic output effect, industrial structural effect and technical effect. The results show that economic output effect is the most important factor driving carbon emission growth in China’s petrochemical industries; industrial structural effect has certain decrement effect on carbon emissions; adjustment of industrial structure by developing low-carbon emission industrial sectors may be a better choice for reducing carbon emissions; and the impact of technical effect varies considerably without showing any clear decrement effect trend over the period of year 2000–2010. The biggest challenge is how to make use of these factors to balance the relationship between economic development and carbon emissions. This study will promote a more comprehensive understanding of the inter-relationships of economic development, industrial structural shift, technical effect and carbon emissions in China’s petrochemical industries and is helpful for exploration of relevant strategies to reduce carbon emissions.

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12.
基于STIRPAT模型的甘肃省交通碳排放测算及影响因素分析   总被引:2,自引:0,他引:2  
依据IPCC清单指南的数据, 采用"自上而下"的碳排放计算方法, 对2000-2013年甘肃省交通碳排放进行测算, 对交通碳排放总量、人均量、交通能源碳排放结构及碳排放强度进行动态分析. 基于STIRPAT模型, 运用岭回归统计方法对甘肃省交通碳排放影响因素进行定量分析. 结果表明: 甘肃省交通碳排放总量和人均碳排放量都呈逐年上升的趋势; 煤炭、汽油、柴油、电力四种能源消费的碳排放量占交通碳排放量的绝大部分; 交通碳排放强度呈下降趋势; 城镇化水平、客运周转量、货运周转量、人均GDP每增长1%, 导致交通碳排放分别增长0.221%、0.137%、0.174%和0.125%. 建设低碳交通体系将成为甘肃省交通部门减碳的有效途径.  相似文献   

13.
Indirect emission from household consumption, which is affected by technologies of production sectors, is the significant contributor to national CO2 emission. Input–output model is preferred when direct and indirect transactions and emissions are considered simultaneously. Based on input–output model, this study applies the sensitivity analysis to indirect emission from rural and urban domestic consumption, respectively. It allows us to investigate the influences of the technology change both at the transaction level and at the sector level. In addition, multi-years symmetrical input–output tables are adopted to obtain dynamic analysis in order to study the variation trend of the influences. At the transaction level, the technology change of production and supply of electric power and heat power self-supplied intermediate inputs exerts the most significant influence on indirect emission from both rural and urban consumption. At the sector level, indirect emissions from rural and urban consumption are both the most sensitive to the technology change of chemistry industry. Furthermore, there are more key transactions selected under consideration of rural domestic consumption compared with the urban. Additionally, the influencing degree and variation trends of the same technology change would be different between rural and urban situation. According to the above findings, policy recommendations aiming at achieving emission abatement from household consumption are provided in detail.  相似文献   

14.
黔桂岩溶山区土地利用变化的社会经济因素分析   总被引:1,自引:1,他引:0  
基于黔桂岩溶山区1990、2015年的土地利用数据和社会经济统计资料,利用典范对应分析方法对1990-2015年25年间的土地利用变化及社会经济驱动因素进行了实证分析。结论如下:(1)黔桂岩溶山区土地利用变化存在明显的时空分异现象;(2)贵州高原区以草地大幅减少和林地增加为主要特征;黔桂峰丛洼地区以水域面积增加和草地减少为主要特征;广西丘陵区的主要特征是耕地减少和建设用地增加。(3)贵州高原区土地利用类型变化以经济和人口因素为主要驱动力;广西丘陵区土地利用类型变化以经济因素和农业结构水平为主要驱动力;农业因素对黔桂峰丛洼地区的土地利用变化驱动作用明显。未来应提高贵州高原和黔桂峰丛洼地区岩溶山区草地生态功能重要性的认识,在加强森林植被恢复的同时加强草地资源保护;城镇化发展背景下黔桂岩溶山区应减少优质耕地占用,开发低丘缓坡土地,建设山地特色城市。   相似文献   

15.
Stress of urban energy consumption on air environment   总被引:1,自引:0,他引:1  
With rapid urbanization and heavy industrialization as well as the rapid increase of cars in China, the effect of energy consumption on urban air environment is increasingly becoming serious, and has become a hot topic for both scholars and decision-makers. This paper explores the effect mechanism and regulation of urban energy consumption on the air environment, and summarizes the framework of the stress effect relationship and the evolutionary process. In accordance with the effect relationship of the internal factors between the two, analytic approaches studying the stress effect of urban energy consumption on air environment are proposed, including the analysis of air environment effects caused by urban energy consumption structure change, and the analysis of air environment effects caused by urban energy economic efficiency change, as well as a decomposition analysis of air pollutant emission caused by urban energy consumption. Applying the above-mentioned approaches into a case study on Beijing City, this paper analyzes the effect relationship among urban energy consumption structure improvement, energy economic efficiency increase and air quality change since the period when Beijing City officially proposed to bid for the 2008 Olympic Games in 1998. In addition, it further analyzes the effect and contribution of urban industrial activity level, industrial economic structure, industrial energy intensity, and industrial energy structure as well as emission coefficients on the change in industrial SO2 emission, which can provide valuable information to the government for making comprehensive environmental policies, with the use of the logarithmic mean Divisia index (LMDI) method. It is shown that under the precondition that the industrial economy maintain a continuous and rapid increase, improvements in energy intensity and a decline in emission coefficients are the main means for reducing Beijing’s industrial SO2 emissions.  相似文献   

16.
17.
Siyue Li  X. X. Lu 《Natural Hazards》2012,62(3):1343-1345
Anthropogenic greenhouse gas (GHG) emissions have substantially contributed to intensification of heavy precipitation and thus the risk of flood occurrence, and this anthropogenic climate change is now likely to continue for many centuries. Thus, precise quantification of human-induced GHG emissions is urgently required for modeling future global warming and precipitation changes, which is strongly linked to flood disasters. Recently, GHG evasion from hydroelectric reservoirs was estimated to be 48 Tg C as CO2 and 3 Tg C as CH4 annually, lower than earlier estimate (published in Nature Geoscience; 2011). Here, we analyzed the uncertainties of GHG emissions from hydroelectric reservoirs, that is, reservoir surface area, data paucity and carbon emission relating to ecological zone, and argued that GHG evasion from global hydroelectric reservoirs has been largely under-estimated. Our study hopes to improve the quantification for future researches.  相似文献   

18.
The importance of mitigation of climate change due to greenhouse gas (GHG) emissions from various developmental and infrastructure projects has generated interest at global level to reduce environmental impacts. Life cycle assessment may be used as a tool to assess GHG emissions and subsequent environmental impacts resulting from electricity generation from thermal power plants. This study uses life cycle approach for assessing GHG emissions and their impacts due to natural gas combined cycle (NGCC) and imported coal thermal power plants using the IPCC 2001 and Eco-Indicator 99(H) methods in India for the first time. The total GHG emission from the NGCC thermal power plant was 584 g CO2 eq/kWh electricity generation, whereas in case of imported coal, it was 1,127 g CO2 eq/kWh electricity generation. This shows that imported coal has nearly ~2 times more impacts when compared to natural gas in terms of global warming potential and human health as disability-adjusted life years from climate change due to GHG emissions such as carbon dioxide (CO2), methane (CH4) and nitrous oxide (N2O).  相似文献   

19.
采用土地利用动态度分析方法和GIS技术,通过建立土地利用空间数据库,构建土地利用时空变化模型,分析上一轮规划以来邹平县土地利用时空变化特征及驱动力。研究结果表明,从1996到2005年近10年间,邹平县土地利用/覆被变化明显。其中耕地和未利用地面积减少量最大,耕地面积逐年减少的主导原因为城镇工矿及交通水利等建设用地的逐年增加,这与邹平县城镇化水平不断提高及经济快速发展密不可分,而城镇工矿用地与GDP、非农业人口存在很强的线性相关关系;未利用转出地类主要为农用地,这一定程度上缓减了因建设占用农用地所引发的农用地规模不断下降的压力。  相似文献   

20.
Chen  Liyun  Duan  Qi 《Natural Hazards》2016,82(1):267-297
Using a production-theoretical decomposition analysis, this study evaluated the driving factors impacting CO2 emissions between 2001 and 2010 in 28 provinces in China. Factors were decomposed into six indicators: scale effect, technical efficiency, technological progress, change in carbon emission intensity, change in inputs, and change in output structure. The results showed that changes in scale effect and change in inputs were the main factors driving CO2 emissions growth. Conversely, technical efficiency, technological progress, and change in output structure inhibited CO2 emission growth. Change in carbon emission intensity had little effect on CO2 emission growth.  相似文献   

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