Research on the Classification of Coupling Relationship among the Ecological Environment, Natural Disasters and Regional Poverty in Inner Mongolia Autonomous Region

Abstract:

This paper first built the evaluation index system for the eco-environmental vulnerability, natural disaster, and regional poverty in Inner Mongolia, and then adopted the principal component projection analysis to obtain vulnerability degree of eco-environment, risk degree of natural disaster and regional poverty degree. Then the classification for them was conducted, coupled with the analysis of their own characteristics. Moreover, the coupling analysis was utilized to carry out classification and research for the coupling relationship between them, aiming to provide scientific theoretical basis for the ecological protection and construction, the disaster prevention and mitigation as well as the poverty alleviation and development in Inner Mongolia.

• Periodical: Applied Mechanics and Materials (Volumes 260-261)
• Pages: 1063-1068
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.260-261.1063
• Online since: December 2012
• Authors: Alateng Tuya, Bu Ren Jirigala, Bao Yin
• Keywords: Coupling Relationship, Eco-Environment Vulnerability, Inner Mongolia Autonomous Region, Regional Poverty, Risk of Natural Disaster

References

[1] Zhao Yuelong, Liu Yanhua. The distribution of China's vulnerable ecological environment and its relationship with the poverty [J] Advances in Earth Sciences, Volume 11, 3, 1996, 247-251.

[2] Zhao Yuelong, Liu Yanhua. The division of the types of China's vulnerable ecological environment and the determination of its range [J], Yunnan Geographic Environment Research, Volume 6, 2, 1994, 34-44.

[3] Li Zhou, Yan Chenmei, Gaolin. The relationship between the development methods of China's poverty-stricken mountainous areas and the ecological changes [J], Shanxi Economic Press, 1997. 1-2.

[4] Tong Yuquan, Long Hualou. The sustainable development of poverty-stricken areas under the coupling of vulnerable ecological environment. China's population, environment and resources, 2003 (2): 47-51.

[5] Wahba G. Spline models for observational data[M]. CBMS-NSF. Regional Conference Series in Mathematics. 59. SIAM， Philadelphi-a， (1990).

[6] Collins F C， Bolstad P V. A comparison of spatial interpolation techniques in temperature estimation[A]. In: Proceedings of the Third International Environmental Modeling[C]. Santa Fe， New Mexico， (1996).

[7] Dubrule O. Twomethodswith different objectives: Splines and Krig-ing[J]. Mathematical Geology，1983，15: 245-257.

[8] Laslett GM. Kriging and splines: An empirical comparison of their predictive performance in some applications[J]. Journal ofthe Amer-ican Statistical Association，1994，89: 391-400.

DOI: 10.1080/01621459.1994.10476759

[9] Li Mingyuan. New methods of multi-criteria decision making and evaluation - principal component projection method [J]. Mathematical Statistics and Management, 2000, 20 (5): 45-48.

[10] Bi Jun, Zhang Shen, Tang Yijian, et al. Discriminant model of sustainable development and its application [J]. China Environmental Science, 1998, 18 (1) : 30-36.

[11] Zhang Xiaodong, Chi Tianhe. Research on the coordination degree of economics and environment in China's provincial regions in 1990s[J]. Geographic Research, 2001, 20 (4) : 506-509.

[12] Wu Dajin, Cao Li, Chen Lihua. Synergetic theory and application[M]. Wuhan: Huazhong University of Science Press, 1990: 9-17.

[13] Song Xuefeng, Liu Yaobin. The coupling model of urbanization and ecological environment and its application[J]. Resource and Environment, 2005, 23 (5) : 31-33.

[14] Liu Yaobin, Li Rendong, Song Xuefeng. Coupling degree of urbanization and ecological environment in China[J]. Natural Resources, 2005, 20 (1) : 105-112.

[15] Liu Yanhua, Li Xiubin. Vulnerable ecological environment and its sustainable development[M]. Beijing: Business Press, (2001).

[16] Wang Shujiang, Dong Suocheng, Wang xin, et al. Research on the interaction mechanism of economics and ecological environment in Dingxi City [J]. Resource Science, 2005, 27 (4) : 106-11.