Geoinformation systems and regional environmental prediction

Polichtchouk, Yuri

doi:10.1016/s0925-7535(98)00033-2

Cited by 7 publications

(4 citation statements)

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“…Однак, для отримання повної картини стану атмосферного повітря, яка у майбутньому може бути застосована для планування розвитку міста, доцільно реалізувати районування територій з виділенням зон, що характеризуються найбільшим рівнем техноген-ного навантаження та водночас максимальною щільністю населення. Дослідження даного типу не можливо реалізувати без застосування сучасних інформаційних технологій, що базуються на створенні відповідних банків даних та сучасних систем управління просторово-орієнтованою інформацією [6,7]. В основі механізму зонування територій зручно застосовувати алгоритми лінійного програмування, що дозволяють виконувати пошук оптимальних значень функцій багатьох аргументів [8].…”

Section: рис 1 -схема гіс-оцінки забруднення атмосферного повітряunclassified

Geographical Infornational System for Assessment Spatial Distribution of Air Pollution (Case Study of Khmelnitsky City)

2017

Visnyk of v. N. Karazin Kharkiv National University Series "Ecology"

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Purpose. The goal of research is spatial analysis of air quality in town Khmelnitsky and to reveal districts with the lowest air pollution level. Methods. Algorithms of purpose functions, linear programming and geoinformational modelling of spatial data. Results. The assessment of spatial distribution of air pollution in Khmelnitsky city has been implemented. The data base and appropriate geographical system have been developed. The geographical informational system includes all data concerning air pollution in Khmelnitsky city. There have been designed digital maps of air pollution the area in question.Conclusion. There have been revealed areas with the highest and lowest levels of air pollution.

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Section: рис 1 -схема гіс-оцінки забруднення атмосферного повітряunclassified

Geographical Infornational System for Assessment Spatial Distribution of Air Pollution (Case Study of Khmelnitsky City)

2017

Visnyk of v. N. Karazin Kharkiv National University Series "Ecology"

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“…The statistical analysis was possible thanks to ArcGIS software (version 9.3). Good quality raster pictures allowed a very detailed assessment using previously gathered data (Polichtchouk, 1998) To interpret obtained results some subjective assumptions should be implemented. On a map (Fig.…”

Section: Increase Of Road Impacts 2006-2014mentioning

confidence: 99%

The Impact of Local Transport Systems on Green Infrastructure – Policy Versus Reality. The Case of Poznan, Poland

Gadziński¹

2015

Urbani izziv

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The main objective of the study was (1) to assess the level of negative impact of the road transport sector on the green infrastructure; (2) to compare the policy on green infrastructure with the actual direction of changes in transport systems; (3) to assess plans for transport development and some predictions on future impact. The research was carried out in the Poznan Metropolitan Area with the use of kernel density estimation (GIS). The analyses show that the key problem is the fragmentation of valuable natural areas and the routing of high traffic intensity roads through and nearby these areas which cause conflicts. The most negative transportation influence occurs in the agglomeration centre, where the quality of the environment is already low. At the same time existing land-use and transport strategies propose solutions neutralizing these negative impacts. Nevertheless current trends and especially new transport investment seem to negate official strategies and intensify the negative impacts on the green infrastructure.

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“…Von Seht (1999) and Thérivel (2002) point out that it has not been easy to arrive at a methodology for the SEA and screening models. Polichtchouk (1998) indicates that the complex and interdisciplinary nature of environmental problems requires the development of a new class of GIS (Geographic Information System), integrating mathematical models, databases and expert knowledge based on a conceptual model.…”

Section: Introductionmentioning

confidence: 99%

Environmental screening tools for assessment of infrastructure plans based on biodiversity preservation and global warming (PEIT, Spain)

García-Montero

López

Monzón

et al. 2010

Environmental Impact Assessment Review

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Most Strategic Environmental Assessment (SEA) research has been concerned with SEA as a procedure, and there have been relatively few developments and tests of analytical methodologies. The first stage of the SEA is the 'screening', which is the process whereby a decisión is taken on whether or not SEA is required for a particular programme or plan. The effectiveness of screening and SEA procedures will depend on how well the assessment fits into the planning from the early stages of the decision-making process. However, it is Kevwordsdifficult to prepare the environmental screening for an infrastructure plan involving a whole country. To be Environmental screening useful, such methodologies must be fast and simple. We have developed two screening tools which would Strategic environmental assessment make it possible to estímate promptly the overall impact an infrastructure plan might have on biodiversity Infrastructure planning and global warming for a whole country, in order to genérate planning alternatives, and to determine Landscape planning whether or not SEA is required for a particular infrastructure plan.

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Geoinformation systems and regional environmental prediction

Cited by 7 publications

References 0 publications

Geographical Infornational System for Assessment Spatial Distribution of Air Pollution (Case Study of Khmelnitsky City)

Geographical Infornational System for Assessment Spatial Distribution of Air Pollution (Case Study of Khmelnitsky City)

The Impact of Local Transport Systems on Green Infrastructure – Policy Versus Reality. The Case of Poznan, Poland

Environmental screening tools for assessment of infrastructure plans based on biodiversity preservation and global warming (PEIT, Spain)

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