Development of an odor wheel classification scheme for wastewater

2004 ◽  
Vol 49 (9) ◽  
pp. 201-209 ◽  
Author(s):  
G.A. Burlingame ◽  
I.H. Suffet ◽  
D. Khiari ◽  
A.L. Bruchet
Keyword(s):  
Pollution Control ◽  
Classification Scheme ◽  
Quality Data ◽  
Air Pollution Control ◽  
Control Field ◽  
Odor Concentration ◽  
Odor Quality ◽  
Treatment Processes ◽  
Hedonic Rating ◽  
Odor Classification

Overall, in the air pollution control field, odor concentration and intensity as well as hedonic rating have been well studied to the point where some level of standardization is being developed or is already in place. However, there has been no standardization with respect to odor quality characterization. There is now sufficient understanding of the types of odorous compounds that can arise from wastewater treatment processes to develop an odor classification scheme. This article presents the first wastewater odor wheel or classification scheme that should form the foundation for the evolution of odor quality data reporting with links to chemical causes.

Utilizing Blockchain and Smart Contracts to Enable Audit 4.0: From the Perspective of Accountability Audit of Air Pollution Control in China

2019 ◽  
Vol 16 (2) ◽  
pp. 23-41 ◽  
Author(s):  
Jun Dai ◽  
Na He ◽  
Haizong Yu
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Quality Data ◽  
Smart Sensors ◽  
Chinese Government ◽  
Smart Contracts ◽  
Air Pollution Control ◽  
Government Officials ◽  
New Generation ◽  
Air Quality Data

ABSTRACT Industry 4.0 uses many technologies, such as smart sensors and IoT, to fundamentally improve manufacturing processes. These advanced tools can also be utilized by auditors for the purpose of achieving real-time auditing and monitoring, pushing the profession toward a new generation: “Audit 4.0.” Blockchains and smart contracts should be utilized to overcome new challenges in the transformation toward Audit 4.0. This paper explores the potential of blockchain and smart contracts to reengineer current audit procedures, thereby enabling Audit 4.0. First, this paper demonstrates a framework that summarizes where blockchain and smart contracts should be applied to help implement Audit 4.0. Then, it designs and implements a system to facilitate accountability audit for Chinese government officials regarding air pollution control. In this case, real air quality data are collected via crowdsourcing, verified and analyzed by blockchain and smart contracts to achieve a continuous audit of government officials' performance on air protection.

Study and Implementation of PM2.5 Data Download Service Based on Python

2013 ◽  
Vol 411-414 ◽  
pp. 555-558
Author(s):  
Kun Cao ◽  
Fei Wang ◽  
Jin Gang Liu
Keyword(s):  
Air Quality ◽  
Data Storage ◽  
Pollution Control ◽  
Historical Data ◽  
Pollution Prevention ◽  
Implementation Process ◽  
Present Situation ◽  
Quality Data ◽  
Air Pollution Control ◽  
Air Quality Data

Aiming at the present situation of research institutions attaching great importance to air pollution control but air quality data acquisition is not convenient, solutions based on Python and Django to provide the service of the air quality data downloading such as PM2.5 is proposed along with their detailed implementation process in Web system design and development. The results indicate that, these techniques enhanced the developing efficiency, the system's service of data downloading can provide comprehensive monitoring data which can be used directly by researchers and improve their efficiency. Accumulated historical data storage is also very important to the study of air quality changing and the pollution prevention.

The Zhenhua Case: the emergence of civil environmental public interest litigation in China

2021 ◽  
Vol 14 (2) ◽  
pp. 116-128
Author(s):  
Wenjun Yan
Keyword(s):  
Air Pollution ◽  
Environmental Protection ◽  
Public Interest ◽  
Pollution Control ◽  
Environmental Damage ◽  
Air Pollution Control ◽  
Public Interest Litigation ◽  
First Time ◽  
Restoration Cost

Abstract In 2015, the All-China Environment Federation v Dezhou Jinghua Group Zhenhua Corporation Limited case was the first civil environmental public interest litigation (CEPIL) against air pollution in China. Constituting a milestone in the field of air pollution control in China, this case (i) confirms the eligibility of a non-governmental organisation (NGO) to file civil public interest litigations; (ii) discusses remedies for the ecological destruction caused by air pollution; (iii) assesses the ecological and environmental damage using the ‘virtual restoration cost’ method; and (iv) uses public apology as an innovative way for Zhenhua to assume liability. By applying and interpreting several important rules under the Environmental Protection Law of China (EPLC) for the first time, this case sets an example for future CEPILs against air pollution in China.

How to realize the effect of air pollution control? A hybrid decision framework under the fuzzy environment

2021 ◽  
Vol 305 ◽  
pp. 127093
Author(s):  
Yao Tao ◽  
Yunna Wu ◽  
Jianli Zhou ◽  
Man Wu ◽  
Shiman Wang ◽  
...  
Keyword(s):  
Air Pollution ◽  
Pollution Control ◽  
Air Pollution Control ◽  
Decision Framework ◽  
Fuzzy Environment

scholarly journals Decoupling Analysis between Economic Growth and Air Pollution in Key Regions of Air Pollution Control in China

2021 ◽  
Vol 13 (12) ◽  
pp. 6600
Author(s):  
Jing Li ◽  
Lipeng Hou ◽  
Lin Wang ◽  
Lina Tang
Keyword(s):  
Economic Growth ◽  
Air Pollution ◽  
Economic Development ◽  
Pollution Control ◽  
Environmental Policies ◽  
River Delta ◽  
Chinese Government ◽  
Air Pollution Control ◽  
The Relationship ◽  
No2 Pollution

The Chinese government has implemented a number of environmental policies to promote the continuous improvement of air quality while considering economic development. Scientific assessment of the impact of environmental policies on the relationship between air pollution and economic growth can provide a scientific basis for promoting the coordinated development of these two factors. This paper uses the Tapio decoupling theory to analyze the relationship between regional economic growth and air pollution in key regions of air pollution control in China—namely, the Beijing–Tianjin–Hebei region and surrounding areas (BTHS), the Yangtze River Delta (YRD), and the Pearl River Delta (PRD)—based on data of GDP and the concentrations of SO2, PM10, and NO2 for 31 provinces in China from 2000 to 2019. The results show that the SO2, PM10, and NO2 pollution in the key regions show strong and weak decoupling. The findings additionally indicate that government policies have played a significant role in improving the decoupling between air pollution and economic development. The decoupling between economic growth and SO2 and PM10 pollution in the BTHS, YRD, and PRD is better than that in other regions, while the decoupling between economic growth and NO2 pollution has not improved significantly in these regions. To improve the relationship between economic growth and air pollution, we suggest that the governments of China and other developing countries should further optimize and adjust the structure of industry, energy, and transportation; apply more stringent targets and measures in areas of serious air pollution; and strengthen mobile vehicle pollution control.

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