Evaluation of rational sulphur dioxide abatement in China

Lei, Shi; Lu, Xiaorong; Lu, Guo‐ping; Zou, Jixing

doi:10.1504/ijep.2008.021130

Cited by 6 publications

(3 citation statements)

References 41 publications

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“…They examined the effect of both technical efficiency and environmental efficiency. The governance efficiency of SO 2 in each province of China was calculated by Shi et al using the data envelopment analysis (DEA) method [ 39 ]. Wang et al used a super efficiency DEA model to analyze the atmospheric pollution governance efficiency in various provinces of China from 2004 to 2009 [ 40 ].…”

Section: The Current Status Of Pollution Researchmentioning

confidence: 99%

Air Pollution Forecasts: An Overview

Bai

Wang

et al. 2018

IJERPH

269

126

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Air pollution is defined as a phenomenon harmful to the ecological system and the normal conditions of human existence and development when some substances in the atmosphere exceed a certain concentration. In the face of increasingly serious environmental pollution problems, scholars have conducted a significant quantity of related research, and in those studies, the forecasting of air pollution has been of paramount importance. As a precaution, the air pollution forecast is the basis for taking effective pollution control measures, and accurate forecasting of air pollution has become an important task. Extensive research indicates that the methods of air pollution forecasting can be broadly divided into three classical categories: statistical forecasting methods, artificial intelligence methods, and numerical forecasting methods. More recently, some hybrid models have been proposed, which can improve the forecast accuracy. To provide a clear perspective on air pollution forecasting, this study reviews the theory and application of those forecasting models. In addition, based on a comparison of different forecasting methods, the advantages and disadvantages of some methods of forecasting are also provided. This study aims to provide an overview of air pollution forecasting methods for easy access and reference by researchers, which will be helpful in further studies.

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Section: The Current Status Of Pollution Researchmentioning

confidence: 99%

Air Pollution Forecasts: An Overview

Bai

Wang

et al. 2018

IJERPH

269

126

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“…China is the second largest energy-consuming economy in the world [2]. Meanwhile, total volume of wastewater discharged and industrial solid waste generated is over 55.6 billion tons and 1.8 billion tons, respectively; nearly 40% cities air quality are lightly polluted or even worse; acid rain control zone and SO 2 control zone covers more than 30% of the territory in China [3].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Implementation of Cleaner Production among Enterprises in Qingdao, China

Shi

Wang

et al. 2012

AMM

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As an effective tool for achieving sustainable development, cleaner production is playing an increasingly prominent role in China’s industrial and environmental protection policies. In this paper, the authors evaluate the implementation of cleaner production among 51 enterprises in Qingdao by cleaner production audit report. Results show that, significant economic and environmental benefits are achieved by implementing cleaner production. To promote the development of cleaner production, increasing financial and political support as well as publicity and training are urgent tasks for Qingdao.

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“…Most of the existing analyses of air pollution abatement focus on its benefit evaluation [4,5], it possible impacts on economic activities [6], strategies to achieve it [7], or discuss the indices to measure the air quality [8]. Economically efficient abatements of air, solid, and waste pollution still receive relatively not much attention [9].…”

Section: Introductionmentioning

confidence: 99%