Generalized assessment of region environmental state based on mathematico-cartographic modeling with GIS

Author:

Belogurov V.

Abstract

The developed methodology features an uneven distribution of indicator parameters in classes, based on principles of regulation and ecological laws. The problem is solved by the innovative method of mathematico-cartographic modeling, based on GIS-technology using the Geostatistical Analysis ArcGIS. All models are tested according to the Belogurov's RR-criterion of model suitability. Among the many logistic functions, the one for which the rules for the allocation of 5 classes are established, is selected. Mathematical analysis of the expression for the logistic curve made it possible to propose the new authors expression for its description. It contains such parameters as the values of the middle and width of the increasing section of this curve and its maximum value. This set is more visible and convenient for assessing the environmental state. It also corresponds to the typical pollution levels accepted by the Hydro meteorological Service: high and extremely high pollution levels. The maximum efforts and means to improve on the environmental state will be devoted to the first signs of high pollution, preventing the transition from class 2 to class 3. A well-reasoned concept of creating systems for monitoring dangerous trends and managing enterprises in accordance with mining safety conditions has been developed.

Publisher

EDP Sciences

Reference54 articles.

1. Sustainable development principles: international aspect

2. Environmental Monitoring and Assessment. Eastern Europe, the Caucasus and Central Asia. GV.E/R.04.0.3 United Nations (2003)

3. Water Framework Directive. European Parliament and Council of European Union Directive No2000/60/EC 2000

4. Global Assessment of Human Induced Soil Degradation (GLASOD), in Users Guide to the Global digutal database (1991)

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3