Abstract. Rocky desertification is a common geo-ecological disasters in China are mainly distributed in southwest karst region, and a wide range of further deterioration. Based on the theory of decision tree Guangxi rocky information extraction, selection of experimental data of Guangxi Zhuang Autonomous Region in 2005 TM image. First of remote sensing images after geometric correction image registration and other pretreatment. Secondly based on binary model of pixel, the Guangxi Zhuang Autonomous Region NDVI values and vegetation cover and slope analysis combining the results of Guangxi Zhuang Autonomous Region, the use of decision tree classification of remote sensing images, and finally get different levels of Guangxi Zhuang Autonomous Region rocky area and spatial distribution. The experimental results showed that: 2005 Guangxi rocky area of about 22,000 km2, accounting for 9% of the total land area in Guangxi, accounting for 24.30% of the karst area the overall classification accuracy of 89.03%, Kappa coefficient was 0.8417. From the classification results and the accuracy evaluation shows that the use of the information extracted rocky achieve better results.
The appearance of light has brought great convenience to people’s life and promoted the development of the social economy. However, inappropriate or overused artificial lighting creates severe light pollution, adversely affecting people, organisms, and the climate. In this paper, the analytic hierarchy process is used to evaluate the severity of the influence of light pollution. The partial least squares, regression curve, and other methods comprehensively analyze the causes of light intensity and pollution. Finally, suggestions are put forward for preventing and controlling light pollution in different areas.
Under accelerated urbanisation and rapid social and economic development, environmental pollution has become an important content of the construction industry. Therefore, the environmental benefit analysis of green buildings is of great significance to the effective use of energy and resources and to achieve the goal of protecting resources, reducing pollution and improving the ecological environment. The results show that the measured results of incremental environmental costs of the office building in Taiyuan City in land saving, energy saving, water saving, material saving, indoor environmental quality and operation management are decreased by 13.56 %, 11.02 %, 25.17 %, 14.43 %, and 15.25 %, respectively; incremental environmental benefits in land saving, energy saving, water saving, material saving, indoor environmental quality and operation management are increased by 23.15 %, 10.37 %, 19.30 %, 18.25 %, and 22.53 %, respectively. Those suggest that the BIM technology applied to the complete life cycle cost analysis of green buildings can test, measure and guide all the steps of building design, construction and maintenance and largely meet the criteria of resource-saving and energy-saving. The results of this paper provide a reference for further research on the environmental benefit analysis of green buildings based on BIM technology.
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