Nothing Special   »   [go: up one dir, main page]

Sahu et al., 2014 - Google Patents

Spatio-temporal variation of biomass burning sources over South and Southeast Asia

Sahu et al., 2014

Document ID
3381113952753950238
Author
Sahu L
Sheel V
Publication year
Publication venue
Journal of Atmospheric Chemistry

External Links

Snippet

In this study, we have investigated the seasonality and long-term trends of major biomass burning (BB) sources over South and Southeast Asia (S-SE Asia). The activities of BB and related emissions show bi-modal seasonality in S-SE Asia. From January to May period, the …
Continue reading at link.springer.com (other versions)

Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N21/25—Colour; Spectral properties, i.e. comparison of effect of material on the light at two or more different wavelengths or wavelength bands
    • G01N21/31—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry
    • G01N21/35—Investigating relative effect of material at wavelengths characteristic of specific elements or molecules, e.g. atomic absorption spectrometry using infra-red light
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/10—Devices for predicting weather conditions
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0073—Control unit therefor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using infra-red, visible or ultra-violet light
    • G01N21/17—Systems in which incident light is modified in accordance with the properties of the material investigated
    • G01N2021/1793—Remote sensing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00—Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/0004—Gaseous mixtures, e.g. polluted air
    • G01N33/0009—General constructional details of gas analysers, e.g. portable test equipment
    • G01N33/0027—General constructional details of gas analysers, e.g. portable test equipment concerning the detector
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/02—Instruments for indicating weather conditions by measuring two or more variables, e.g. humidity, pressure, temperature, cloud cover, wind speed
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • G06Q10/063—Operations research or analysis
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01W—METEOROLOGY
    • G01W1/00—Meteorology
    • G01W1/08—Adaptations of balloons, missiles, or aircraft for meteorological purposes; Radiosondes

Similar Documents

Publication Publication Date Title
Jin et al. Spatial and temporal variability of ozone sensitivity over China observed from the Ozone Monitoring Instrument
Sahu et al. Regional biomass burning trends in India: Analysis of satellite fire data
Lasko et al. Analysis of air pollution over Hanoi, Vietnam using multi-satellite and MERRA reanalysis datasets
Sahu et al. Spatio-temporal variation of biomass burning sources over South and Southeast Asia
Carmichael et al. MICS-Asia II: The model intercomparison study for Asia Phase II methodology and overview of findings
Kumar et al. Influences of the springtime northern Indian biomass burning over the central Himalayas
Kaskaoutis et al. Variations in the aerosol optical properties and types over the tropical urban site of Hyderabad, India
Sarangi et al. First simultaneous measurements of ozone, CO, and NOy at a high‐altitude regional representative site in the central Himalayas
Generoso et al. A satellite‐and model‐based assessment of the 2003 Russian fires: Impact on the Arctic region
Yarragunta et al. Influence of forest fire episodes on the distribution of gaseous air pollutants over Uttarakhand, India
Jena et al. Influence of springtime biomass burning in South Asia on regional ozone (O3): A model based case study
Van Leeuwen et al. Dynamic biomass burning emission factors and their impact on atmospheric CO mixing ratios
Behera et al. COVID-19 slowdown induced improvement in air quality in India: rapid assessment using Sentinel-5P TROPOMI data
Strawa et al. Improving retrievals of regional fine particulate matter concentrations from Moderate Resolution Imaging Spectroradiometer (MODIS) and Ozone Monitoring Instrument (OMI) multisatellite observations
Ojha et al. Surface ozone in the Doon Valley of the Himalayan foothills during spring
Hertwig et al. Development and demonstration of a Lagrangian dispersion modeling system for real‐time prediction of smoke haze pollution from biomass burning in Southeast Asia
Das et al. A rapid assessment of stubble burning and air pollutants from satellite observations
Ito et al. Seasonal and interannual variations in CO and BC emissions from open biomass burning in Southern Africa during 1998–2005
Zhang et al. Three-dimensional spatiotemporal evolution of wildfire-induced smoke aerosols: A case study from Liangshan, Southwest China
Shikwambana et al. Characterisation of aerosol constituents from wildfires using satellites and model data: A case study in Knysna, South Africa
Lolli et al. Climatological assessment of the vertically resolved optical and microphysical aerosol properties by lidar measurements, sun photometer, and in situ observations over 17 years at Universitat Politècnica de Catalunya (UPC) Barcelona
Wang et al. Top‐down estimate of China's black carbon emissions using surface observations: Sensitivity to observation representativeness and transport model error
Liu et al. Accounting for NOx emissions from biomass burning and urbanization doubles existing inventories over South, Southeast and East Asia
Nguyen et al. Biomass burning CO, PM and fuel consumption per unit burned area estimates derived across Africa using geostationary SEVIRI fire radiative power and Sentinel-5P CO data
Thongsame et al. Evaluation of WRF-Chem PM2. 5 simulations in Thailand with different anthropogenic and biomass-burning emissions