Abstract

The current state of landfills is an important issue for monitoring. There are a lot of municipal solid waste landfills in the world. But there are no standard solutions for monitoring the current state of these facilities both in Russia and abroad. It makes developing of technical solution, based on Autonomous sensors for measuring the concentrations of hazardous fumes, radiation background, geotechnical factors and other environmental variables, actual. Such system can be easily installed and can work in stand-alone mode for a long time. Decision-making technology in such system can be based on using of modern achievements of Machine Learning.

Highlights

  • Nowadays the issues of ecological using of resources of big cities and human's influ-ence on the environment are discussed widely, e.g. (Sergeev, etc, 2019) [1], (Didenko, etc, 2017) [2]

  • The task of monitoring the status of municipal solid waste (MSW) dumps and landfills has become of acute importance in the Russian Federation

  • There are no standard solutions for monitoring the state of these facilities both in Russia and abroad

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Summary

Introduction

Nowadays the issues of ecological using of resources of big cities and human's influ-ence on the environment are discussed widely, e.g. (Sergeev, etc, 2019) [1], (Didenko, etc, 2017) [2]. To estimate the probability of damage resulting from the occurrence of environmental risks at the landfill, and the total cost of losses, several parame-ters are measured, such as the square of the landfill, the year of its completion and the limit of waste disposal. These works do not consider the possibility of implementing technical systems for early warning of environmental risks. The results of their hazard assessment can play an important role in the management of municipal solid waste and in the development of an economic environmental management mechanism that can solve the problem of environmental pollution in the operation of municipal solid waste landfills

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