Air Quality Monitoring and Forecasting / / Rick Saylor, Pius Lee, Jeff McQueen.
Air quality is personal. Its management is highly so. Asthmatic or air-pollutant-sensitive individuals depend on accurate air quality forecasts to help manage their daily activities. However, the adverse effects of poor air quality on public health and visibility extend far beyond the daily time hor...
Saved in:
VerfasserIn: | |
---|---|
TeilnehmendeR: | |
Place / Publishing House: | Basel, Switzerland : : MDPI,, 2018. |
Year of Publication: | 2018 |
Language: | English |
Physical Description: | 1 online resource (v, 201 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
LEADER | 05551nam a2200313 i 4500 | ||
---|---|---|---|
001 | 993603207704498 | ||
005 | 20230623185316.0 | ||
006 | m o d | ||
007 | cr ||||||||||| | ||
008 | 230623s2018 sz a o 000 0 eng d | ||
020 | |a 3-03842-840-X | ||
035 | |a (CKB)5400000000000048 | ||
035 | |a (NjHacI)995400000000000048 | ||
035 | |a (EXLCZ)995400000000000048 | ||
040 | |a NjHacI |b eng |e rda |c NjHacl | ||
050 | 4 | |a TD890 |b .S295 2018 | |
082 | 0 | 4 | |a 628.530287 |2 23 |
100 | 1 | |a Saylor, Rick, |e author. | |
245 | 1 | 0 | |a Air Quality Monitoring and Forecasting / |c Rick Saylor, Pius Lee, Jeff McQueen. |
264 | 1 | |a Basel, Switzerland : |b MDPI, |c 2018. | |
300 | |a 1 online resource (v, 201 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on publisher supplied metadata and other sources. | ||
520 | |a Air quality is personal. Its management is highly so. Asthmatic or air-pollutant-sensitive individuals depend on accurate air quality forecasts to help manage their daily activities. However, the adverse effects of poor air quality on public health and visibility extend far beyond the daily time horizon. Pneumonic and cardiac vascular responses of individuals in all age groups can be both acute, episodic and short-term, as well as chronic, accumulative and long-term. Urban haze resulting from stagnant poor air can linger for many days. In this Special Issue, seven papers cover a wide range of air pollution forecasting technology and emission control responses. It is paramount to verify and improve air quality forecast modeling systems constantly by as many quality-assured and cross-calibrated measurements as possible. Improvements from national centers such as the U. S. National Oceanic and Atmospheric Administration's (NOAA) research arms must produce verification statistics satisfying operational center performance metrics over multiple seasons before implementation is possible. High quality, compact, and mobile monitors are a significant player in air quality and atmospheric composition continuous measurements and are poised to become even more important. Five papers in this issue provide insight on observation technological advances and data assimilation. Air quality monitoring and forecasting sciences necessarily advance in lock-step and improvements for one benefit the other. | ||
505 | 0 | |a About the Special Issue Editors v -- Pius Lee, Rick Saylor and Jeff McQueen -- Air Quality Monitoring and Forecasting doi: 10.3390/atmos9030089 1 -- Wei Lu, Tinghua Ai, Xiang Zhang and Yakun He -- An Interactive Web Mapping Visualization of Urban Air Quality Monitoring Data of China doi: 10.3390/atmos8080148 3 -- Tiancai Zhou, Jian Sun and Huan Yu -- Temporal and Spatial Patterns of China's Main Air Pollutants: Years 2014 and 2015 doi: 10.3390/atmos8080137 19 -- Baolei Lyu, Yuzhong Zhang and Yongtao Hu -- Improving PM2.5 Air Quality Model Forecasts in China Using a Bias-Correction Framework doi: 10.3390/atmos8080147 34 -- Hui Zhao, Youfei Zheng and Ting Li -- Air Quality and Control Measures Evaluation during the 2014 Youth Olympic Games in Nanjing and its Surrounding Cities doi: 10.3390/atmos8060100 49 -- Casey D. Bray, William Battye, Pornpan Uttamang, Priya Pillai and Viney P. Aneja -- Characterization of Particulate Matter (PM2.5 and PM10) Relating to a Coal Power Plant in the Boroughs of Springdale and Cheswick, PA doi: 10.3390/atmos8100186 61 -- Samuel D. Lightstone, Fred Moshary and Barry Gross -- Comparing CMAQ Forecasts with a Neural Network Forecast Model for PM2.5 in New York doi: 10.3390/atmos8090161 74 -- Rodrigo Munoz-Alpizar, Radenko Pavlovic, Michael D. Moran, Jack Chen, Sylvie Gravel, Sarah B. Henderson, Sylvain M´enard, Jacinthe Racine, Annie Duhamel, Samuel Gilbert, Paul-Andr ´e Beaulieu, Hugo Landry, Didier Davignon, Sophie Cousineau and V ´eronique Bouchet Multi-Year (2013-2016) PM2.5 Wildfire Pollution Exposure over North America as Determined from Operational Air Quality Forecasts doi: 10.3390/atmos8090179 90 -- George M. Woodall, Mark D. Hoover, Ronald Williams, Kristen Benedict, Martin Harper, Jhy-Charm Soo, Annie M. Jarabek, Michael J. Stewart, James S. Brown, Janis E. Hulla, Motria Caudill, Andrea L. Clements, Amanda Kaufman, Alison J. Parker, Martha Keating, David Balshaw, Kevin Garrahan, Laureen Burton, Sheila Batka, Vijay S. Limaye, Pertti J. Hakkinen and Bob Thompson -- Interpreting Mobile and Handheld Air Sensor Readings in Relation to Air Quality Standards and Health Effect Reference Values: Tackling the Challenges doi: 10.3390/atmos8100182 114 Books MDPI -- Daniel-Eduard Constantin, Alexis Merlaud, Mirela Voiculescu, Carmelia Dragomir, Lucian Georgescu, Francois Hendrick, Gaia Pinardi and Michel Van Roozendael Mobile DOAS Observations of Tropospheric NO2 Using an UltraLight Trike and Flux Calculation doi: 10.3390/atmos8040078 140 -- Richard M ´enard and Martin Deshaies-Jacques Evaluation of Analysis by Cross-Validation. Part I: Using Verification Metrics doi: 10.3390/atmos9030086 153 -- Richard M ´enard and Martin Deshaies-Jacques -- Evaluation of Analysis by Cross-Validation, Part II: Diagnostic and Optimization of Analysis Error Covariance doi: 10.3390/atmos9020070 169 -- Barry Baker and Li Pan -- Overview of the Model and Observation Evaluation Toolkit (MONET) Version 1.0 for Evaluating Atmospheric Transport Models doi: 10.3390/atmos8110210 190. | |
650 | 0 | |a Air |x Pollution |x Measurement. | |
700 | 1 | |a Lee, Pius, |e author. | |
700 | 1 | |a McQueen, Jeff, |e author. | |
906 | |a BOOK | ||
ADM | |b 2023-07-06 03:26:32 Europe/Vienna |f system |c marc21 |a 2020-10-31 22:37:04 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5338025200004498&Force_direct=true |Z 5338025200004498 |b Available |8 5338025200004498 |