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Assessment of Treatment Effect of Heavy Metal Pollution from Sewage Sludge in Wastewater Treatment Plant Discharge in China’s Nanjing MV Industrial Park

100%

Xu L. , Sun F. , Han X.

tom Tom 24

276--293

To explore methods for a comprehensive assessment of the treatment effect of heavy metal pollution in the sewage sludge from China’s industrial parks, we studied the wastewater treatment plant of the Nanjing MV Industrial Park as an example. Eight common heavy metals in sewage sludge – Zinc (Zn), Copper (Cu), Lead (Pb), Mercury (Hg), Chromium (Cr), Nickel (Ni), Arsenic (As), Cadmium (Cd) were studied. The treatment effect of these containments was comprehensively assessed using the absolute niche fitness model, the relative niche model and the spatial niche fitness model. All three models showed that Pb > Cu > Ni > Hg > Cd > Cr > Zn > As in the samples. However, they produced – different numerical values – the absolute niche suitability model < the spatial niche suitability model < and the relative niche suitability model. Therefore, we concluded that special attention should be paid to the carcinogenic risk of As and Cr heavy metals to the person exposed to the sewage sludge.

Study on the Unexpected Loss Measurement of Environmental Pollution from Energy Consumption Waste Emissions in Industrial Parks Based on Extreme Value VaR Model

100%

Sun T. , Shi P. , Zhao Y. , Han X.

Rocznik Ochrona Środowiska

2023

tom Tom 25

399--412

The waste emission of energy consumption in industrial parks causes huge expected environmental pollution loss but also causes serious environmental pollution losses in the form of accidents. To explore the measurement method of the environmental pollution losses of waste emissions from energy consumption in industrial parks and the effective way of its application, based on the literature review and theoretical analysis, extreme value theory and VaR theory was introduced to construct the extreme value VaR model for the measurement of environmental pollution losses of wastes emission from energy consumption in industrial parks. The maximum likelihood estimation method was used to estimate the parameters of the measurement model. Then, the application test was carried out with the case data of waste emission from energy consumption in Nanjing MV industrial park, which verifies the effectiveness of the research method and its application.