Article

Aggregation of Meteorological and Spatial Data for Air Pollution Modeling

Daler SharipovTashkent University of Information Technologies, Tashkent, UzbekistanDilshot AkhmedovTashkent University of Information Technologies, Tashkent, Uzbekistan

2021 International Conference on Information Science and Communications Technologies (ICISCT)conference2021en

ABI

Abstract

Manual preprocessing of raw data for air pollution modeling is often turns to quite painstaking job. In order to automate some basic routine of preprocessing the input information, we propose a method for consolidation of meteorological and spatial data provided by open web-services and repositories. The implemented algorithm can significantly reduce the time and costs for parameterization of the atmospheric boundary layer before solving the problems of evaluation and forecasting the environmental conditions of the industrial regions.

Topics

Data Quality and Management Atmospheric and Environmental Gas Dynamics Data Management and Algorithms

Identifiers

DOI: 10.1109/icisct52966.2021.9670325

Citations and references

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