Informatics Publishing Limited

Chen Feng ¹, Xi Wenyi ², Liu Peng ¹, Li Yufei ¹, Shi Lei ¹

Affiliations
1 School of Environment and Natural Resources, Renmin University of China, Haidian District, Beijing, 100872, CN
2 Nicholas School of the Environment, Duke University, Durham NC, US

Abstract

China's air pollution problem has become more serious and the impacts of various pollutants staggered. As the pollutant sources and the consequences of pollution are various, different governance measures have been taken for different pollutants. Meanwhile, the Environmental Kuznets Curve as a theoretical description of the environmental pollution and the level of economic development, its specific form is still to be demonstrated in practice. As an air pollutant with serious consequences, sulphur dioxide started being controlled in the last century. During the "Eleventh Five-Year Plan" period, the government has focused a special object on this project. Through the study of sulphur dioxide Environmental Kuznets Curve, this paper concludes that the country's sulphur dioxide emission has reached a situation where its emissions have increased rapidly with the economic development, but later entered a slow growth or a gradual decline, and in this process, the proportion of secondary industry and the foreign trade has a significant impact on the emission of sulphur dioxide. The paper provides a reference for the study of other air pollutants emission paths and counter measures.

Keywords

Air Pollution, Sulfur Dioxide, Environmental Kuznets Curve.

Full Text

   

Liu Peng ¹, Yue Jianhua ¹

Affiliations
1 College of Resource & Geosciences, China University of Mining & Technology, Xuzhou 221008, Yankuang Donghua Construction Co., Ltd., Zoucheng 273500, CN

Abstract

This paper takes the characteristics of timing data from Time-Lapse Electrical Resistivity Tomography monitor as basis, introduces the Kalman filter technique for a recursive process on the natural electric field data of monitor samples to achieve the timing inversion on monitor data. The dynamic surveillance can be carried out on how the spatial and temporal changes, such as groundwater movement law, water inrush prediction, quarry and mining surveillance. Time-lapse surveillance in a small area of the seam roadway on a short time scale has further proved that the Kalman algorithm has good effect on the inversion process of monitor data. The monitor data inversion interpretation in the natural electric field characterizes the variation of the electrical properties of the floor before and after grouting. The internal correlation between water movement and grouting change is thereby built up. These features attributes TL- Early to playing a good effect in the early-warning of floor water inrush.

Keywords

Time-Shift Resistivity Tomography, Kalman Filter Technique, Dynamic Monitor.

Full Text