The objective standard for Asian Dust determination using the instrument in the Republic of Korea SEONG-HEON KIM, HYUK-JE LEE, JAE-YOUNG KIM Observational.

Slides:



Advertisements
Similar presentations
Konkuk University Climate Research Institute Typhoon Damage Impact Assessment Of Young-dong Region, Korea Park, Chang yong, Graduate Student, Department.
Advertisements

Pyeongchang River Basin Probabilistic Assessment of Drought Using Hidden Markov Model in Han River Basin Yeijun Park, Ji-Young Yoo, Hyun-Han Kwon, Tae-Woong.
JERAL ESTUPINAN National Weather Service, Miami, Florida DAN GREGORIA National Weather Service, Miami, Florida ROBERTO ARIAS University of Puerto Rico.
PREV ’AIR : An operational system for large scale air quality monitoring and forecasting over Europe
International Data Acquisition for Disaster Prevention and Data Access Technology Hyunseung Choo Sungkyunkwan University
The 8 th GAME International Science Panel Meeting (Thailand, November, 2003) Dr. C. H. Cho Meteorological Research Institute, KMA
PREV ’AIR : An operational system for air quality monitoring and forecasting Laurence ROUÏL.
Effects of Siberian forest fires on regional air quality and meteorology in May 2003 Rokjin J. Park with Daeok Youn, Jaein Jeong, Byung-Kwon Moon Seoul.
Economic Growth and the Building of Sustainable Urban Growth Management Model -The Case of Korean Experiences (Cities of Ulsan and Inchon)- The Plan of.
The Technical Support System of Ambient Air Quality Management in Tianjin.
Satellite Remote Sensing of Surface Air Quality
UNDERSTANDING TYPHOONS
Chapter 2: Satellite Tools for Air Quality Analysis 10:30 – 11:15.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Delivery of Forecasted Atmospheric Ozone and Dust for a Public Health Decision-Support System-Architecture and Functionality William B. Hudspeth, Jeff.
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Investigation of Decadal Changes in Aerosol and Asthma Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Space Flight Center.
Application of Satellite Data to Particulate, Smoke and Dust Monitoring Spring 2015 ARSET - AQ Applied Remote Sensing Education and Training – Air Quality.
Effects of Pollution on Visibility and the Earth’s Radiation Balance John G. Watson Judith C. Chow Desert Research Institute Reno,
Chapter 4: How Satellite Data Complement Ground-Based Monitor Data 3:15 – 3:45.
Characterization of Aerosol Physical, Optical and Chemical Properties During the Big Bend Regional Aerosol and Visibility Observational Study (BRAVO) Jenny.
Aerosol Extinction Assessment and Impact on Regional Haze Rule Implementation Douglas Lowenthal Desert Research Institute Pat Ryan Sonoma Technology, Inc.
Proposal for a Research Infrastructure for Advanced Aerosol Observations and Capacity Building in China Alfred WIEDENSOHLER Leibniz Institute for Tropospheric.
Weather forecasting began in the mid 1800’s when basic tools, like the thermometer and barometer, were invented Global Weather Reporting Weather observations.
The Asian Dust Events of April 1998 Prepared by: R. B. Husar, D. Tratt, B. A. Schichtel, S. R. Falke, F. Li D. Jaffe, S. Gassó, T. Gill, N. S. Laulainen,
1 Satellite Remote Sensing of Particulate Matter Air Quality ARSET Applied Remote Sensing Education and Training A project of NASA Applied Sciences Pawan.
Aerosol Data Assimilation with Lidar Observations and Ensemble Kalman Filter T. Thomas Sekiyama (MRI/JMA, Japan) T. Y. Tanaka(MRI/JMA, Japan) A. Shimizu(NIES,
Operational assimilation of dust optical depth Bruce Ingleby, Yaswant Pradhan and Malcolm Brooks © Crown copyright 08/2013 Met Office and the Met Office.
SUBMICRON AEROSOL PARTICLES IN A SMALL SETTLEMENT NEAR HIGHWAY J. HOVORKA, Z. STAŇKOVÁ Institute for Environmental.
Global Distribution and Transport of Air Pollution Presented at The Haagen-Smit Symposium: From Los Angeles to Global Air Pollution Lake Arrowhead, April.
Online measurements of chemical composition and size distribution of submicron aerosol particles in east Baltic region Inga Rimšelytė Institute of Physics.
Latvian Environmental, Geology and Meteorology agency Future development scenarios for traffic system and air pollution in Riga city Iveta Steinberga La.
Strategic Plan for Korean Participation in T-PARC 2008 Hee-Sang Lee Forecast Research Lab., NIMR/ KMA April. 7-8, 2008 Tsukuba, Japan.
Observations and Model Analysis of Recent Asian Dust Events Nobuo Sugimoto (National Institute for Environmental Studies) Itsushi Uno (Research Institute.
Class presentation Applications of the Helsinki Test Bed CL31 Ceilometer data Anu-Maija Sundström University of Helsinki Division of Atmospheric.
Influence of the Asian Dust to the Air Quality in US During the spring season, the desert regions in Mongolia and China, especially Gobi desert in Northwest.
Chapter 19 Section 1. pollutants - harmful substances that contaminate the environment human activities – industry, construction, power generation, transportation,
August 1999PM Data Analysis Workbook: Characterizing PM23 Spatial Patterns Urban spatial patterns: explore PM concentrations in urban settings. Urban/Rural.
The Asian Dust Events of April 1998 Prepared by: R. B. Husar, D. Tratt, B. A. Schichtel, S. R. Falke, F. Li D. Jaffe, S. Gassó, T. Gill, N. S. Laulainen,
Numerical simulations of optical properties of nonspherical dust aerosols using the T-matrix method Hyung-Jin Choi School.
Ch.4.  Other (Atmospheric) Environmental Problems Due to Fossil Fuels Urban ozone Particulates in air pollution (Fly ash) Others in troposphere.
One case study for the aerosol layer originated from siberian forest fire during the latter days of May Kohei HONDA Atmospheric Environment Division.
OVERVIEW OF ATMOSPHERIC PROCESSES: Daniel J. Jacob Ozone and particulate matter (PM) with a global change perspective.
Lightning Detection System in Korea Meteorological Administration Seung-Sook Shin, Jeong-Hee Kim, Ki-Ho Chang, Jong-Ho Lee, Duck-Mo Woo Observational Technology.
CLOUD PHYSICS LIDAR for GOES-R Matthew McGill / Goddard Space Flight Center April 8, 2015.
Implementation of Male’ Declaration on Control and Prevention of Air Pollution and its Likely Transboundary Effects for South Asia MALDIVES 12 – 13 September.
Estimating PM 2.5 from MODIS and MISR AOD Aaron van Donkelaar and Randall Martin March 2009.
Arno Graff Susan Klose UBA-II 4.2 – Air Quality Assessment Some Aspects on Air Quality in Germany related to SOER 14th EIONET Meeting, Warsaw,
II GALION workshop - Geneva, Switzerland – September 21-23, 2010 EARLINET contribution to SDS-WAS Europe – North Africa regional node Lucia Mona Istituto.
Yang Liu +, Ralph Kahn #, Solene Turquety *, Robert M Yantosca ++, and Petros Koutrakis + + Harvard School of Public Health, Boston, MA; # Jet Propulsion.
JMA’s routine aerosol observations and Activities in the RRC Ⅱ kohei HONDA Regional Radiation Center (RRC) II (Asia) Global Environment and Marine Department.
August 1999PM Data Analysis Workbook: Characterizing PM23 Spatial Patterns Urban spatial patterns: explore PM concentrations in urban settings. Urban/Rural.
Aerosol Pattern over Southern North America Tropospheric Aerosols: Science and Decisions in an International Community A NARSTO Technical Symposium on.
SAGE III Aerosol Studies: Size Distribution Retrievals and Validation Mark Hervig GATS Inc.
Respiratory adverse effects of the particles during dust storm in China Dept. Occupational & Environmental Health Peking University School of Public Health.
OBSERVATION ON ION DYNAMICS Urmas Hõrrak, Hannes Tammet Institute of Environmental Physics, University of Tartu, 18 Ülikooli St., Tartu, Estonia.
Assessment of Upper atmospheric plume models using Calipso Satellites and Environmental Assessment and Forecasting Chowdhury Nazmi, Yonghua Wu, Barry Gross,
An Introduction to the Use of Satellites, Models and In-Situ Measurements for Air Quality and Climate Applications Richard Kleidman
UEE Seminar Series Lidar Sensing of Tropospheric Aerosols and Clouds
Zhou Qing Liang(Shi Lijuan) CMA 31 Oct
Daytime variations of AOD and PM2
Regional Radiation Center (RRC) II (Asia)
OBSERVATION ON ION DYNAMICS
Asian Dust Episode (4/26/2001)
AEROSOLS: types SOLID LIQUIID Dust Smoke Fly ash pollen Cloud Mist Fog smog.
Asian Dust Episode (4/16/2001)
PI: Irina Sokolik OVERALL GOAL:
Proposal to Revise the National Ambient Air Quality Standards for Particle Pollution WESTAR Meeting March 2006.
Poster EMS Session OSA 1.12 Using a small network of ceilometers in Austria to investigate a Saharan dust episode in April 2016 PM concentration.
First use of satellite AOD data for EMEP model validation for PM
Presentation transcript:

The objective standard for Asian Dust determination using the instrument in the Republic of Korea SEONG-HEON KIM, HYUK-JE LEE, JAE-YOUNG KIM Observational Technology and Management Division, Korea Meteorological Administration Asian Dust Monitoring Network Instrument Future Plan  PM10  Recently Global Warming and Industrialization makes rapid progress of the desertification in East Asia.  The intensity and occurrence of Asian dust have gradually increased since 2000 in Korea.  A severe Asian dust event was observed 2-3 times per year in 2000s and affecting public health and industry.  KMA built quantitative Asian Dust Monitoring Network for preventing damage from Asian dust and established Warning System for Asian dust in Reference Young-Gon Lee and C.-H. Cho, 2007 : Characteristics of Aerosol Size Distribution for a Severe Asian Dust Event Observed at Anmyeon, Korea in April Journal of the Korean Meteorological Society, 43, Asian Dust Monitoring Network  LIDAR KMA LIDAR system Time series of extinction coefficient and depolarization ratio displayed in the KMA intranet Warning System  Alarm - Alarm is issued when an hourly averaged dust concentration(PM10) is expected to exceed 300 ㎍ / ㎥ for over 2 hours  Advisory - Advisory is issued when an hourly averaged dust concentration(PM10) is expected to exceed 400 ㎍ / ㎥ for over 2 hours  Warning - Warning is issued when an hourly averaged dust concentration(PM10) is expected to exceed 800 ㎍ / ㎥ for over 2 hours Objective standard for Asian Dust  KMA is using PM10 and LIDAR for observing the quantitative Asian dust, but the Asian dust is being determined from measuring with observer eyes. Hence, there is a difference of observer opinion and shortage of objectivity.  Especially, it is need to improve the determination criterion of Asian dust observation using the instruments in the case of weak Asian dust.  Background  The present situation  Asia dust is measured with the eye when PM10 concentration is less than 300 ㎍ / ㎥. - Asian dust is determined from the brown dust and sky muddiness measured with the observer eyes. Baengnyeongdo Ganghwa Gwanaksan Bukgyegryelbido Gwangdeoksan Anmyundo Chuncheon Gunsan Cheonan Cheongwon Chupungnyeong Jinju Daegu Andong Yeongdeok Yeongwol Ulleungdo Daegwallyeong Sokcho Gudeoksan Gosan Heuksando Gwangju Munsan Seoul Cheonju Suwon Ulsan Jindo PM10 station : 28 Lidar station : 4  Asian Dust determination of weak Asian Dust (less than 300 ㎍ / ㎥ )  Monitoring Asian dust - Using statistics to distinguish between Asian dust and other dust events  Asian dust determination - Asian dust is determined through observed APS(Aerodynamic Particle Sizer) as PM10 concentration is more than statistics. Local Station month BaengnyeongDoKanghwaKwangdukKwanak [㎍/㎥][㎍/㎥] Table for statistic analysis (example) Asian DustNon-Asian Dust Volume Concentration change Increasing the volume concentration of the coarse particle (more than 1.5 ㎛ ) Increasing the volume concentration of the fine particle (less than 1.5 ㎛ ) Volume Concentration Distribution High volume concentration (more than 100 ㎛ 3 / ㎝ 3 ) around 2~5 ㎛ High volume concentration (more than 100 ㎛ 3 / ㎝ 3 ) less than 1 ㎛ Volume Concentration Max. Peak around 3 ㎛ Peak less than 1 ㎛ Criteria by using APS Type-1(Asian Dust) Time series of PM10 data displayed in the KMA intranet KMA PM10 system  The Instrument measuring the number density of particles with the diameter of 10 ㎛ or less  KMA is using PM10 because the diameter of Asian dust particles is mainly 2~6 ㎛.  The observed data is collected every 5 minutes, instantly displayed on Combined Meteorological Information System(COMIS), and used in quantitative Asian dust forecast.  Dual-polarization LIDAR system including polarization analyzer can get the information about the shape and vertical profile of aerosol particles since it observe depolarization and extinction coefficient though the analysis of lager pulse(532nm) holding specific polarization in atmosphere.  Generally, polarization is easily broken in non-globular shaped particles. Therefore, Asian dust observation based on depolarization is useful because aerosol like Asian dust is a not-globular shape.  The observed data is collected every 15 minutes, instantly displayed in Combined Meteorological Information System(COMIS), and used in quantitative Asian dust forecast. Type-2(Asian Dust & Pollution) Type-3(Pollution) Type-4(Sea Fog or Haze)  Studying the objective standard for Asian Dust determination by using the instrument  Applying to forecasting the weak Asian Dust