GIS in the Studies of Soil and Water Environment

• Autorzy: Rozpondek R. , Wancisiewicz K. , Kacprzak M.

Identyfikatory

DOI

10.12911/22998993/63476

• Języki publikacji: EN

Abstrakty

EN

GIS with the geostatistics are more frequently-used technique in environmental studies. Providing spatial information creates a possibility to place the results in space. Spatial information significantly affects the credibility and quality of research projects. It can be useful in determining certain relationships between monitoring and reclamation of degraded areas and to minimize and evaluate the costs related to environmental pollution. On the basis of practical and scientific examples, potential methods of applications of GIS and geostatistical methods in the study of water and soil environment was presented.

Słowa kluczowe

EN

geographic information system (GIS); geospatial analyze; kriging; land degradation; reclamation

• Wydawca: Polskie Towarzystwo Inżynierii Ekologicznej ; Lublin University of Technology
• Czasopismo: Journal of Ecological Engineering
• Rocznik: 2016
• Tom: Vol. 17, nr 3
• Strony: 134--142
• Opis fizyczny: Bibliogr. 21 poz., tab., rys.

Twórcy

autor

Rozpondek R.

• Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dąbrowskiego 69 Str., 42-201 Czestochowa, Poland

autor

Wancisiewicz K.

• Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dąbrowskiego 69 Str., 42-201 Czestochowa, Poland

autor

Kacprzak M.

• Faculty of Infrastructure and Environment, Czestochowa University of Technology, Dąbrowskiego 69 Str., 42-201 Czestochowa, Poland

Bibliografia

• 1. Acosta J.A., Faz. A., Martinez-Martinez S., Zroznoza R., Carmona D.M., Kabas S., 2011. Multivariate statistical and GIS based approach to evaluate heavy metals behavior in mine sites for future reclamation, Journal of Geochemical Exploration.
• 2. Celine Siu-lan L., Xiangdong L., Wenzhong S., Sharon Ching-nga C, Iain T., 2005. Metal contamination in urban, suburban and country park soils of Hong Kong: A study based on GIS and multivariate statistics, Science of the Totel Environment 356, 45–61.
• 3. Chrisman N, 1999. What Does ‘GIS’ Mean?, Transcation in GIS, 3(2), 175–186.
• 4. Drzewiecki W., 2015. GIS w skrócie, http://home. agh.edu.pl/~awrobel/resources/GIS%20w%20 skrocie.pdf, from 20.11.2015.
• 5. Hossain M., Piatanakulchai M., 2013. Groundwater arsenic contamination risk prediction using GIS and classification tree method, Engineering Geology 156.
• 6. Karnieli A., Gilad U., Ponzet M., Svoray T., Mirzadinov R., Fedorina O., 2008. Assessing land-cover change and degradation in the Central Asian deserts using satellite image processing and geostatistical methods, Journal of Arid Environments.
• 7. Kazemi S.M., Hosseini S.M., 2011. Comparison of spatial interpolation methods for estimating heavy metals in sediments of Caspian Sea, Expert systems with Applications, 38.
• 8. Kurczyński Z. 2014. Fotogrametria, Wydawnictwo naukowe PWN, 241–267.
• 9. Kurczyński Z. 1999. DTM inaczej, Geodeta – Magazyn Geoinformacyjny.
• 10. Ligas M., 2015. Zaawansowane Metody Analiz Przestrzennych Geostatystyka – wstęp, http:// home.agh.edu.pl/~ligas/konspekty/geo_intro.pdf, from 06.12.2015.
• 11. Lu G, Wong D., 2008. An adaptive inverse-distance weighting spatial interpolation technique, Computer&Geosciences, 1044–1055.
• 12. Mao Y., Shuxun S., Shiqi L., Jinlong J., 2014. Spatial distribution of pH and organic matter in urban soils and its implications on site specific land uses in Xuzhou China, Comptes Rendus Biologies.
• 13. Olivier R, Hangian C., 2012. Nearest Neighbor Value Interpolation, International Journal of Advanced Computer Science and Application, Vol. 3.
• 14. Stafilov T., Sajn R., Pancevski Z., Boev B., Frontasyeva M., Strelkova L., 2010. Heavy metal contamination of topsoils around a lead and zinc smelter in the Republic of Macedonia, Journal of Hazardous Materials 175.
• 15. Shisanya C., Recha C., Anyamba A., 2011. Rainfall variability and its impact on Normalized Difference Vegetation Index in arid and semi-arid lands of Kenya. International Journal of Geosciences, 2, 36–41.
• 16. Sollitto D, Romic M., Castrignano A., Romic D., Bakic H., 2010. Assesing heavy metal contamination in soils of the Zagreb region (Northwest Croatia) using multivariate geostatistics, Catena.
• 17. Wysocki J., 2010. Podstawowa rola geodezji, fotogrametrii, teledetekcji oraz geomatyki w tworzeniu instrastruktury informacji przestrzennej w zakresie opisu ukształtowania powierzchni terenu, Roczniki geomatyki, tom VIII, Zeszyt 1(37).
• 18. Yu H., Ni S., He Z., Zhang C., Nan X., Kong B. Weng Z., 2014. Analysis of the spatial relationship between heavy metals in soil and human activities based on landscape geochemical interpretation, Journal of Geochemical Exloration.
• 19. Zawadzki J., 2011. Metody geostatystyczne dla kierunków przyrodniczych i technicznych, OPW, Warszawa.
• 20. Zawadzki J., Kucharek M., Trichel W. 2004. The modeling of spatial distribution of chlorine ion concentration in groundwater from post-flotation reservoir “Żelazny Most”, Engineering and Environmental Protection, 7(3-4), 381–392.
• 21. Kacprzak M., 2007. Wspomaganie procesów remediacji gleb zdegradowanych, seria Monografie nr 128, Wydawnictwo Politechniki Częstochowskiej, Częstochowa

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.