Data evaluation algorithm for compensation litigation for ecotope pollution damage in the Yellow River valley caused by industrial wastewater from the perspective of green development

Abstract

Since the reform and opening up, China's economy has achieved amazing growth. At the same time of industrialization transformation, the traditional high-energy consumption and external growth model has brought serious environmental problems, and the pollution control situation is facing many difficulties. The Yellow River Valley gives birth to the Chinese civilization. With the formulation of the national strategy for ecological protection and high-quality development in the Yellow River Basin and the demand for green development, the control of industrial pollution has become the main task of environmental protection in the Yellow River Basin. However, the research on the ecotope pollution in the Yellow River Valley mainly stays in the theory and strategy. In response to the above problems, this paper would carry out scientific data analysis and high-dimensional research on the ecotope pollution in the Yellow River Valley from the perspective of green development and data analysis algorithms. The research results showed that the reconstruction probability of the Threshold-based Sparsity Adaptive Matching Pursuit (TSAMP) algorithm remained 100% when K was less than 50. HIGHLIGHTS The national strategy for ecological protection and high-quality development was formulated in the Yellow River Basin.; The research on the ecotope pollution in the Yellow River Valley mainly stays in the theory and strategy.; The reconstruction probability of the Threshold-based Sparsity Adaptive Matching Pursuit (TSAMP) algorithm remained 100% when K was less than 50.;

Keywords

• data analysis algorithms
• green development
• industrial waste
• tsamp algorithm