Download Legislation, Technology and Practice of Mine Land by Zhenqi Hu PDF

By Zhenqi Hu

Legislation, expertise and perform of Mine Land Reclamation includes the complaints of the Beijing overseas Symposium on Land Reclamation and Ecological recovery (LRER 2014, Beijing, China, 16-19 October 2014).

The contributions conceal quite a lot of topics:
- tracking, prediction and evaluate of environmental harm in mining areas
- Subsidence land reclamation and ecological restoration
- Soil, crops and organic diversity
- Mining equipment and measures for minimization of land and environmental damage
- reliable wastes and AMD treatment
- infected land remediation
- Land reclamation and ecological recovery regulations and management
- floor mined land reclamation and ecological restoration
- Case research on mining reclamation and ecological restoration

Legislation, expertise and perform of Mine Land Reclamation could be of curiosity to engineers, scientists, specialists, govt officers and scholars thinking about environmental engineering, soil technology, ecology, forestry, mining, and land reclamation and ecological recovery in mining areas.

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Extra resources for Legislation, Technology and Practice of Mine Land Reclamation

Example text

Land Suitability Evaluation for Reclamation of Bauxite Region in Pingguo County of Guangxi Zhuang Autonomous Region. Bulletin of Soil and Water Conservation, 30(3): 211–215. Establish the subject system of compiling reclamation plan Organizations for special reclamation plans are suggested to promote, so as to avoid damage to the objectivity and rationality, due to profit-driven nature of the reclamation responsibility parties. Besides, a special audit organization set by the government is recommended.

Et al. Color, organic matter, and pesticide adsorption relationships in a soil landscape. Soil Science Society of America Journal, 1988, 52(4):1023–1026. Y. Soil Science[M]. Beijing: China Agriculture Press, 2000. Z. Spatial distribution pattern of surface soil organic carbon based on TM image[J]. Chinese Journal of Ecology, 2008, 27(3):333–338. , et al. Soil organic matter predicting with remote sensing image in typical black soil area of Northeast China[J]. Transactions of the CSAE, 2011, 8(27):211–215.

599. Correlation between variables must be taken into consideration before regression analysis, since high correlation causes errors to the final result. Table 3 shows correlation analysis results between different bands. Although band 5 and band 7 have a significant correlation with organic matter, there is strong correlation between reflectance of the RMSE = 1 n ∑ (xi − yi )2 n i =1 (2) RMSE—root mean square error of organic matter measured value and predicted value; n—sample number; xi, yi—organic matter measured value and predicted value of sample i.

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