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GIS Technology, 3D Models and Mathematical Models as a Tool for Assessing Development Capabilities of Flood Risk Land to Make Arrangements of Municipal Planning Documents

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
With regard to the municipal spatial policies, the issue of flood protection, and hence the directions of development of flood-endangered land seem rather significant, given the possible social and economic consequences of a wrong decision. Currently, there is no legal obligation, within the statutory activities of flood protection institutions, to implement guidance documents prior to the works on the municipality development. It is determined by the local government in the planning documents, which are in accordance with the applicable regulations, acts of local law. Space management, through planning development and land use or the landscape protection, requires the access to comprehensive and reliable information. GIS technology, 3D models and mathematical models using neural networks in spatial analysis and monitoring changes in space to protect flood risk land, give the possibility of collecting the information that constitutes the basis of knowledge on the area, which helps to make decisions regarding a purpose and a method of the land use. The data obtained in this way are a valuable source of knowledge on the stage of preparation of planning documents that determine the directions of municipal spatial development. Under the Act of 27 March 2003 on spatial planning and development [spatial planning and development act 2003], these documents are a municipal study of the conditions and directions of the spatial planning and a local zoning plan.
Rocznik
Strony
25--33
Opis fizyczny
Bibliogr. 19 poz., rys.
Twórcy
  • Faculty of Civil Engineering, Architecture and Environmental Engineering, Institute of Civil Engineering, University of Zielona Góra, prof. Z. Szafrana 1, 65-516 Zielona Góra, Poland
  • Faculty of Civil Engineering, Architecture and Environmental Engineering, Institute of Civil Engineering, University of Zielona Góra, prof. Z. Szafrana 1, 65-516 Zielona Góra, Poland
  • P.A. Nova S.A., Górnych Wałów 42, 44-100 Gliwice, Poland
Bibliografia
  • 1. Arvan M., Omidvar A., Hodsi R. 2016. Intellectual capital evoluation using fuzzy cognitive maps: scenario-based development planning, Expert Systems With Applications, 55, 21–36.
  • 2. Bazan-Krzywoszańska A. 2018. GIS technology as a tool for protecting landscape and cultural values in spatial planning, Structure, 129–137.
  • 3. Bazan-Krzywoszańska A., Mrówczyńska M., Skiba M., Łączak A. 2016. Economic conditions for the development of energy efficient civil engineering using RES in the policy of cohesion of the European Union (2014–2020). Case study: the town of Zielona Góra, Energy and Buildings, 118, 170–180.
  • 4. Bielak S.R., Application of mathematical modeling in the analysis of river water flow conditions (in Polish). http://www.sebastianbielak.pl/uploads/pdf/Aura%20nr%201%20(2014).pdf, [access: 13.06.2018].
  • 5. Bobrowski J. 2015. The use of GIS and mathematical modeling in water management (in Polish). AquaRD sp. z o.o., http://www.knyszyn.bialystok.lasy.gov.pl/documents/62684/28334384/prezentacja_oswos_jb.pdf/15f23543–1ac0–46dc-b2df-31618a9e9659, [access: 13.06.2018].
  • 6. De Mario C., Fenza G., Loia V., Orciuoli F. 2017. Neurocomputing, 256, 35–48.
  • 7. Directive 2007/60/EC of the European Parliament and of the Council of 23 October 2007 on the assessment and management of flood risks (Off. J. of EU L 288 of 06.11.2007).
  • 8. Elsawah S., Pierce S.A., Hamilton S.H., van Delden H., Haase D., Elmahdi A., Jakeman A.J. 2017. An overview of the system dynamics process for integrated modeling of socio-ecological systems: Lessons on good modeling practice from five case studies, Environmental Modelling & Software, 93, 127–145.
  • 9. Guo R., Li L., Ying S., Luo P., He B., Jiang R. 2013. Developing a 3D cadastre for the administration of urban land use: A case study of Shenzhen, China, Computers, Environment and Urban Systems, 40, 46–55.
  • 10. Juszczyk M. 2010. Modeling the costs of residential buildings with the use of artificial neural networks (in Polish). Czasoposmo Techniczne – Technical Transactions, 2, 167–175.
  • 11. Miller J.S., Hoel L.S. 2012. The „smart growth” debate: best practices for urban transportation planing, Socio-Economic Planning Sciences, 36, 1–24.
  • 12. Off. J. 2013.0.104 – the Regulation of the Minister of the Environment, the Minister of Transport, Construction and Maritime Affairs, the Minister of Administration and Digitization and the Minister of Internal Affairs of 21 December 2012 on the development of flood hazard maps and flood risk maps.
  • 13. Olazabal M., Chiabai A., Foudi S., Neumann M.B. 2018. Emergence of new knowladge for climate change adaption, Environmental Science and Policy, 83, 46–53.
  • 14. Program of activities aimed at raising public awareness of threats related to the spatial management in the flood risk areas and the rules of town planning and construction resulting from them, Institute of Spatial Management and Housing in Warsaw, Warsaw 19.09.2012.
  • 15. Singh K.K., Singh A. 2017. Identyfication of flooded area from satellite images using Hybrid Kohonen Fuzzy C-Means sigma classifier, The Egyptian Journal of Remote Sensing and Space Sciences, 20,147–155.
  • 16. Szewrański Sz., Chruściński J., van Hoof J., Kazak J.K.,Świader M., Tokarczyk-Dorociak K., Zmuda R. 2018. A Location Intelligence System for the Assessment of Pluvial Flooding Risk and the Identification of Storm Water Pollutant Sources from Roads in Suburbanised Areas, Water, 10 (6).
  • 17. The Act of 20 July 2017-Water Law (Off. J. of 2017 items 1566, 2180, of 2018 items 650, 710).
  • 18. The Act of 23 March 2003 on spatial planning and development (Journal of Laws of 2017, item 1073, 1566).
  • 19. Wolfe J.M. 2008. Reinventing planning: Canada, Progress in Planning, 57, 207–235.
Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-96ecc752-8eee-4c74-8595-104254674983
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