This site uses cookies, as explained in our terms of use. If you consent, please close this message and continue to use this site.
2 mins Read
Rising emissions of air pollutants from urban, industrial, and rural sources have been steadily affecting the Hindu Kush Himalayan (HKH) region over recent decades. This has raised concerns about deteriorating air quality, impacts on health and visibility, and changes in atmospheric systems and the climate.
ICIMOD’s Atmospheric Watch Initiative aims to facilitate effective measures and policies for reducing air pollution and its impacts within the HKH region by improving knowledge and enhancing the capacity of partners in ICIMOD’s eight Regional Member Countries (RMC). Working with partners in the RMCs, ICIMOD contributes to generating crucial scientific evidence of ambient air pollution in the region. This is expected to enable governments, policy makers, and other stakeholders to take action based on the knowledge generated.
ICIMOD in partnership with the Department of Environment in Nepal and the National Environment Commission in Bhutan operates several air quality stations. These stations measure aerosol and trace gases. The trace gas measurement instruments provide concentrations of ozone, SO2, CO, NO, NO2, and NOx. These instruments require regular servicing and calibration to ensure the highest quality of data. So far, ICIMOD scientists had been providing support for basic troubleshooting; the instruments had to be shipped to the ICIMOD headquarters in Kathmandu and then on to the original equipment manufacturer for calibration and maintenance. In an effort to strengthen the generation of scientific evidence, ICIMOD organized a 10-day training workshop in January 2020 to train nine men and seven women from partner agencies in Bhutan and Nepal to operate, maintain, troubleshoot, and calibrate the instruments for reliable data generation and dissemination.
Participants gained basic knowledge of the instruments’ working principles, daily operation, maintenance, calibration, and troubleshooting. The hands-on training was conducted with actual equipment during the annual maintenance and was guided by engineers from Thermo Fisher Scientific India, the original manufacturers. This allowed the participants to learn from real-world problems and scenarios.
The participants appreciated the intensive training, which built their capacity to actively discuss and troubleshoot potential instrument problems with ICIMOD colleagues. The trainers outlined the training’s importance given the fact that functionality and daily operation and maintenance are the biggest challenges for air quality monitoring stations. Arnico Pandey, Regional Programme Manager of the Atmosphere Programme at ICIMOD, emphasized that for data to be unavailable is unacceptable, but to have incorrect data is much worse. He encouraged participants to continue to rely on each other to collect and share accurate and reliable data, explaining that data and knowledge should be transboundary because air pollution crosses borders too.
An orientation programme was conducted by Bhandari and Bishwa Raj Karki (an independent consultant) to sensitize cooperative members to the ...
Langtang Village in November 2014 and 2015. The earthquake in April 2015 triggered ...
During the visit, the joint monitoring team interacted with goat and vegetable value chain groups formed by Himalica and a ...
On 19–21 May 2015, the Government of Myanmar launched its ambitious Ecotourism Policy and Management Strategy for Protected Areas, developed ...
WWF-Pakistan plans to experiment with solar pumps and hydro ramp pumps, and install drip irrigation equipment and sprinkles to pump ...
Myanmar has developed Community Forestry Strategic Action Plan 2018–2030 to address forest degradation and improve the livelihoods of forest-dependent communities ...
Florencia Matina Tuladhar completed her thesis on “Determination of factors influencing recession ...
Technology for analyzing and addressing air pollution is evolving. New tools are currently in development that can collect better data ...