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Relationship between urban eco-environment and competitiveness with the background of globalization: Statistical explanation based on industry type newly classified with environment demand and environment pressure

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Journal of environmental Sciences 2005年第2期17卷 344-349页

作者： KANGXiao-guang MAQing-bin ResearchCenterforeco-environmentalSciences ChineseAcademyofSciencesBeijing100085China

Within the global urban system, the statistical relationship between urban eco-environment(UE) and urban competitiveness(UC)(RUEC) is researched. Data showed that there is a statistically inverted-U relationship between UE and UC. eco-environmental factor is put into the classification of industries, and gets six industrial types by two indexes viz. industries' eco-environmental demand and pressure. The statistical results showed that there is a strong relationship, for new industrial classification, between the changes of industrial structure and evolvement of UE. The drive mechanism of the evolvement of urban eco-environment, with human demand and global work division was analyzed. The conclusion is that the development stratege, industrial policies of cities, and environmental policies fo cities must be fit with their ranks among the global urban system. At the era of globalization, so far as the environmental policies, their rationality could not be assessed with the level of strictness, but it can enhance cities' competitiveness when they are fit with cities' capabilities to attract and control some sections of the industry's value-chain. None but these kinds of environmental policies can probably enhance the UC.

关键词： global urban system urban competitiveness urban eco-environment industry structure

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Using Support Vector Machine to Predict eco-environment Burden:A Case Study of Wuhan,Hubei Province,China

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Biomedical and environmental Sciences 2008年第1期21卷 45-52页

作者： XIANG-MEI LI JING-XUAN ZHOU SONG-HU YUAN XIN-PING ZHOU QIANG FU School of environmental Science and Engineering Huazhong University of Science and Technology Wuhan 430074 Hubei China China environmental Monitoring Center Beijing 100029 China

Objective The human socio-economic development depends on the planet＇s natural capital. Humans have had a considerable impact on the earth, such as resources depression and environment deterioration. The objective of this study was to assess the impact of socio-economic development on the ecological environment of Wuhan, Hubei Province, China, during the general planning period 2006-2020. Methods Support vector machine （SVM） model was constructed to simulate the process of eco-economic system of Wuhan. Socio-economic factors of urban total ecological footprint （TEF） were selected by partial least squares （PLS） and leave-one-out cross validation （LOOCV）. Historical data of socio-economic factors as inputs, and corresponding historical data of TEF as target outputs, were presented to identify and validate the SVM model. When predicted input data after 2005 were presented to trained model as generalization sets, TEFs of 2005, 2006,…, till 2020 were simulated as output in succession. Results Up to 2020, the district would have suffered an accumulative TEF of 28.374 million gha, which was over 1.5 times that of 2004 and nearly 3 times that of 1988. The per capita EF would be up to 3.019 gha in 2020. Contusions The simulation indicated that although the increase rate of GDP would be restricted in a lower level during the general planning period, urban ecological environment burden could not respond to the socio-economic circumstances promptly. SVM provides tools for dynamic assessment of regional eco-environment. However, there still exist limitations and disadvantages in the model. We believe that the next logical step in deriving better dynamic models of ecosystem is to integrate SVM and other algorithms or technologies.

关键词： urban eco-environment Total ecological footprint Support vector machine Partial least square

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Forecasting eco-environment using Set Pair Analysis model:a case study of Wuhan,Hubei province,China

Forecasting eco-environment using Set Pair Analysis model:a ...

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2007中国科协年会

作者： Li Xiangmei Zhou Jingxuan Duan Xiaofang Luo Luqin School of environmental Science and Engineering,Huazhong University of Science and Technology,Wuhan 430074,China

ecosystem services are critical to urban ecosystem by underpinning human ***,how to dynamically predict ecological footprint is a multidisciplinary issue in the research field of sustainable *** to the past studies,the traditional models were built to assess the dynamic trends of ecological footprint,by transforming the indeterminacy problems into determinacy ***;the indeterminacy information in the studied object was *** this paper;a set pair analysis(SPA)dynamic model was constructed to forecast the total ecological footprint(TEF)from 2004 to *** a case study of Wuhan city,Hubei province in central China,per capita ecological footprint(EF)and biological capacity(BC) were calculated from 1988 to *** ecological environment is closely connected with and interacts with socio-economy,we put both TEF and related socio-economic factors together to deal with in order to build SPA model and analyzed the development trends of TEF and socio-economic factors in the following 16 years. According to the results,continuous increase of per capita EF(1988-2003)indicated human effect on the district stronger and *** per capita ecological budget was negative all along from 1988 to 2003, indicating that Wuhan’s ecological state is it,the ecological *** to 2020,the district would have been bearing accumulative TEF of 27.82 million gha,which is near 2 times than that of *** the increase rate of gross domestic product(GDP)would be restricted in a lower level during the general planning period (2005-2020),the urban ecological environmentol burden could not respond to the socio-economic circumstances ***,in order to have a zero growth in TEF from 2005 to 2020,while GDP grows by the planning aims,the energy utilization ratio should reach Y6.4×10(ton(SCE)) which it nearly out of *** adaptability of SPA in ecosystem modeling was presented based on the case *** paper put fo

关键词： urban eco-environment Total ecological footprint(TEF) Set pair analysis(SPA) Dynamic model

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