Solving Environmental Problems with Regional Decision-Making: A Case Study of Ground-Level Ozone

2003 ◽  
Vol 56 (1, Part 1) ◽  
pp. 123-138 ◽  
Author(s):  
Terry Dinan ◽  
Natalie Tawil
Keyword(s):  
Decision Making ◽  
Ground Level ◽  
Environmental Problems ◽  
Ground Level Ozone

scholarly journals PEDESTRIANS’ PERSPECTIVES ON ENVIRONMENTAL PROBLEMS, AWARENESS AND WILLINGNESS IN CHANGING CURRENT MODE TO WALKING IN A POSSIBLE WAY TO REDUCE EXPOSURE OF O3 CONCENTRATIONS TO SCHOOLCHILDREN

2018 ◽  
Vol 80 (5) ◽  
Author(s):  
Nazatul Syadia Zainordin ◽  
Nor Azam Ramli ◽  
Ahmad Zia Ul-Saufie Mohamad ◽  
Muhammad Rizal Razman ◽  
Ahmad Shukri Yahya ◽  
...  
Keyword(s):  
Adverse Effects ◽  
Air Pollutants ◽  
Current Mode ◽  
Ground Level ◽  
Environmental Problems ◽  
Negative Effects ◽  
Ground Level Ozone ◽  
Distance Travel ◽  
The Given ◽  
Level Of Agreement

Increasing ground level ozone has become an important issue because of its adverse effects on health and the environment. Increasing numbers of vehicles is known to be one of the sources of its precursors where gas emissions from vehicle exhausts lead to the production of ground level ozone.  Active transports, mainly walking have been found to be the most effective way to reduce the use of private vehicles especially for short-distance travel.  In this study, pedestrians’ perspectives on the existence of environmental problems and awareness regarding negative effects of these issues and their perceptions towards changing the current mode to active mode were evaluated. According to the surveys conducted at the four selected schools, by referring to the gender, as compared to male respondents, female respondents mostly testified that there were local environmental problems occurred at their area and are aware  of the adverse effects of air pollutants exposed to human. As for types of respondents, teachers were much concern with the environmental problems as they spent more time in schools compared than other types of respondents. In terms of race, Indian and Malay respondents were more aware of the negative effects of air pollutants and most willingly to change from current mode to walking. From the analysis of one-way ANOVA and independent t-test, respondents’ level of agreement with environmental problems, awareness and potential in changing the current mode to walking were related to the gender, types of respondents and race. Nevertheless, factor of travel distance did not influence the given level of agreement by respondents.

scholarly journals AIR QUALITY MONITORING AND DATA MANAGEMENT IN GERMANY – STATUS QUO AND SUGGESTIONS FOR IMPROVEMENT

2020 ◽  
Vol XLIV-4/W2-2020 ◽  
pp. 37-43
Author(s):  
L. Petry ◽  
H. Herold ◽  
G. Meinel ◽  
T. Meiers ◽  
I. Müller ◽  
...  
Keyword(s):  
Decision Making ◽  
Air Quality ◽  
Management Practices ◽  
System Development ◽  
Ground Level ◽  
Ground Level Ozone ◽  
Novel Approach ◽  
Depth Analysis ◽  
New Generation

Abstract. This paper proposes a novel approach to facilitate air quality aware decision making and to support planning actors to take effective measures for improving the air quality in cities and regions. Despite many improvements over the past decades, air pollutants such as particulate matter (PM), nitrogen dioxide (NO2) and ground-level ozone (O3) pose still one of the major risks to human health and the environment. Based on both a general analysis of the air quality situation and regulations in the EU and Germany as well as an in-depth analysis of local management practices requirements for better decision making are identified. The requirements are used to outline a system architecture following a co-design approach, i.e., besides scientific and industry partners, local experts and administrative actors are actively involved in the system development. Additionally, the outlined system incorporates two novel methodological strands: (1) it employs a deep neural network (DNN) based data analytics approach and (2) makes use of a new generation of satellite data, namely Sentinel-5 Precursor (Sentinel-5P). Hence, the system allows for providing areal and high-resolution (e.g., street-level) real-time and forecast (up to 48 hours) data to inform decision makers for taking appropriate short-term measures, and secondly, to simulate air quality under different planning options and long-term actions such as modified traffic flows and various urban layouts.

A case study relating high ground level ozone to enhanced photochemistry and isentropic transport from the stratosphere

1981 ◽  
Vol 86 (C6) ◽  
pp. 5231 ◽  
Author(s):  
P. L. Haagenson ◽  
M. A. Shapiro ◽  
P. Middleton ◽  
A. R. Laird
Keyword(s):  
Ground Level ◽  
Ground Level Ozone

scholarly journals Temporal Forecasting with a Bayesian Spatial Predictor: Application to Ozone

2012 ◽  
Vol 2012 ◽  
pp. 1-13 ◽  
Author(s):  
Yiping Dou ◽  
Nhu D. Le ◽  
James V. Zidek
Keyword(s):  
Mexico City ◽  
Empirical Bayes ◽  
Predictive Accuracy ◽  
Ground Level ◽  
Spatial Prediction ◽  
Ground Level Ozone ◽  
Multivariate Method ◽  
Chicago Area ◽  
Space Modeling

This paper develops and empirically compares two Bayesian and empirical Bayes space-time approaches for forecasting next-day hourly ground-level ozone concentrations. The comparison involves the Chicago area in the summer of 2000 and measurements from fourteen monitors as reported in the EPA's AQS database. One of these approaches adapts a multivariate method originally designed for spatial prediction. The second is based on a state-space modeling approach originally developed and used in a case study involving one week in Mexico City with ten monitoring sites. The first method proves superior to the second in the Chicago Case Study, judged by several criteria, notably root mean square predictive accuracy, computing times, and calibration of 95% predictive intervals.

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