Air quality trends of the Kathmandu Valley: A satellite, observation and modeling perspective
Autor: | Durga Prasad Dawadi, Arnico K. Panday, Siva Praveen Puppala, Kundan Lal Shrestha, Bhupesh Adhikary, Shankar Prasad Paudel, Parth Sarathi Mahapatra |
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Rok vydání: | 2019 |
Předmět: |
Pollution
Atmospheric Science 010504 meteorology & atmospheric sciences media_common.quotation_subject Air pollution 010501 environmental sciences medicine.disease_cause 01 natural sciences Aerosol Trend analysis Altitude Lidar Climatology medicine Environmental science Moderate-resolution imaging spectroradiometer Air quality index 0105 earth and related environmental sciences General Environmental Science media_common |
Zdroj: | Atmospheric Environment. 201:334-347 |
ISSN: | 1352-2310 |
DOI: | 10.1016/j.atmosenv.2018.12.043 |
Popis: | Kathmandu is the capital city of Nepal and a ‘hotspot’ of urban air pollution in South Asia. Its bowl-shaped structure (altitude 1300 m above sea level (masl); floor area 340 km2) surrounded by tall mountains provides a unique case study for analyzing pollution trapped by topography and local meteorology. In the absence of long-term in-situ observations, for the first time the columnar aerosol loading trend of the Kathmandu Valley was analyzed using satellite-derived aerosol optical depths (AOD). AOD from MODIS (Moderate Resolution Imaging Spectroradiometer) onboard Aqua and Terra (3 × 3 km, Level 2) was used during the dry season (November–June) in 2000–2015. Trend analysis of Kathmandu AOD (KAOD) (the Kathmandu Valley AOD (KValAOD) + background AOD (BAOD)) suggested an increase of ∼35% during the study period. To derive the KValAOD trend, BAOD was subtracted from KAOD. The KValAOD trend indicated an increase of ∼50–60% during the study period, based on MODIS Aqua and Terra data. Thereafter, the background contribution only at the valley layer (1300–1400 masl) was determined using Cloud-Aerosol LiDAR and Infrared Pathfinder Satellite Observation (CALIPSO) profiles, in-situ observation and modeling techniques. The CALIPSO-based analysis indicated that background pollution contributed an additional 20–25% to local pollution. This finding was further supported by short-term in-situ measurements from Dhulikhel (the site where Kathmandu background measurements were taken) and Ratnapark (a Kathmandu city center site). Case studies were conducted using chemical transport models (WRF-STEM and WRF-Chem) to quantify the contribution of background air pollution to the Kathmandu valley pollution. These model results contradicted the satellite and in-situ observation by highly underestimating the Kathmandu Valley pollution levels. Comparison of visibility in Kathmandu with AOD suggests a profound role of BAOD on decreasing long-distance visibility in particular months. |
Databáze: | OpenAIRE |
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