Air Quality Data Collection in Hyderabad Using Low-Cost Sensors: Initial Experiences

Shekar, N. Chandra; Reddy, A. Srinivas; Reddy, P. Krishna; Mondal, Anirban; Agrawal, Girish

doi:10.1007/978-3-031-11217-1_29

Cited by 1 publication

(2 citation statements)

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“…While improved estimates of overall city data are now available, we require a ne-grained understanding of pollutants across localities. Such data is currently unavailable for most cities across the world, since it requires a critical mass of on-ground sensors and satellite data [3,4,5]. However, geographically-speci c data can facilitate cities to make meaningful policy decisions to reduce emissions.…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the work in [3] performed a study to share their experiences concerning low-cost monitoring of ne-grained particulate matter in Hyderabad, India. Moreover, the work in [4] presented a study to showcase trends in particulate air across small towns and villages in India. The work in [7] proposed Eclipse, a platform for sensing low-cost environmental trends using solar powered technologies.…”

Section: Introductionmentioning

confidence: 99%

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Analysis and Visualization of Hyperlocal Emissions Data in New Delhi and Mumbai

Anandan

Mondal

2023

Preprint

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Deteriorating air quality has an adverse impact on human health and causes irreversible damage to the environment. On this matter, while existing works focus on investigating macro-level and entity-level emissions, investigation of hyperlocal emissions and pollution data in urban cities has received little attention. In practice, hyperlocal insights about pollutants in ambient air are critical for building community-level awareness about pollution and climate change, which is a precursor toward developing data-driven policies across neighbourhoods in large cities. Hence, as a part of this study, we installed multiple air quality sensors across two major cities in India, namely New Delhi and Mumbai. After preprocessing data from these sensors, we performed a detailed investigation to derive novel insights concerning hyperlocal information. Moreover, we provide a description of an interactive Python-based interface with querying abilities for users to understand hyperlocal ambient air in real-time. In the near future, we shall expand this effort to other cities across India.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%