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A study of the climate and human impact on the future survival of the Al-Sannya marsh in Iraq

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The marshes are the most abundant water sources and ecological rich communities. They have a significant impact on the ecological and economic well-being of the communities surrounding them. However, climatic changes directly impact these bodies of water, especially those marshes which depend on rainwater and flooding for their survival. The Al-Sannya marsh is used as the example of marshes in Southern Iraq for this study between 1987-2017. The research takes place throughout the winter season due to the revival of marshes in southern Iraq at this time of year. The years 1987, 1990, 1995, 2000, 2007, 2014, 2017 are the focus of this study. Satellite imagery from the Landsat 5 (TM) and Landsat 8 (OLI) and the meteorological parameters affecting the marsh were acquired from NASA. The calculation of the areas of water bodies after classification using satellite imagery is done using the maximum likelihood method and comparing it with meteorological parameters. These results showed that these marshes are facing extinction due to the general change of climate and the interference of humans in utilising the drylands of the marsh for agricultural purposes. The vegetation area can be seen to have decreased from 51.15 km2 in 2000 to 8.77 km2 in 2017.
Wydawca
Rocznik
Tom
Strony
168--173
Opis fizyczny
Bibliogr. 18 poz., mapy, rys., tab., wykr.
Twórcy
  • University of Baghdad, College of Education for Pure Science (Ibn-Al-Haitham), Department of Physics, Baghdad, Iraq
  • University of Baghdad, College of Education for Pure Science (Ibn-Al-Haitham), Department of Physics, Baghdad, Iraq
  • University of Baghdad, College of Education for Pure Science (Ibn-Al-Haitham), Department of Physics, Baghdad, Iraq
Bibliografia
  • ABDULJABBAR H.M. 2017. Satellite images fusion using modified PCA substitution method [online]. Ibn AL-Haitham Journal For Pure and Applied Science. Vol. 30. No. 1 p. 29–37. [Access 25.02.2021]. Available at: https://jih.uobaghdad.edu.iq/index.php/j/article/view/1057
  • ABDULJABBAR H.M., NAJIT.A.H. 2020. Separating the terrain cover of Iraqi Marshes Region using new satellite band combination. Iraqi Journal of Agricultural Sciences. Vol. 51. No. 6 p. 1504–1516. DOI 10.36103/ijas.v51i6.1178.
  • ALBADRAN B.N. 2006. Sedimentology and mineralogy of the Al-Hammar Marsh/Southern Iraq: A review [online]. Marsh Bulletin. Vol. 1. No. 1 p. 32–39. [Access 25.02.2021]. Available at: https://www.iasj.net/iasj/article/70604
  • ALBARAKAT R., LAKSHMI V., TUCKER C.J. 2018. Using satellite remote sensing to study the impact of climate and anthropogenic changes in the Mesopotamian Marshlands, Iraq. Remote Sensing. Vol. 10. No. 10 p. 1524–1532. DOI 10.3390/rs10101524.
  • GIBSON G.R., CAMPBELL J.B., ZIPPER C.E. 2015. Sociopolitical influences on cropland area change in Iraq, 2001–2012. Applied Geography. Vol. 62 p. 339–346. DOI 10.1016/j.apgeog.2015.05.007.
  • HUSSEIN Z.E., HASAN R.H H., AZIZ N.A. 2018. Detecting the changes of AL-Hawizeh Marshland and Surrounding areas using GIS and remote sensing techniques [online]. Association of Arab Universities Journal of Engineering Sciences. Vol. 25. No. 1 p. 53–63. [Access 28.02.2021]. Available at https://www.jaaru.org/index.php/auisseng/article/view/109
  • IHLEN V. 2019. Landsat 8 data users handbook [online]. 5th ed. U.S. Geological Survey. South Dakota. U.S. Geological Survey. [Access 25.02.2021]. Available at: https://landsat.usgs.gov/documents/Landsat8DataUsersHandbook.pdf
  • JABBAR M.F.A., AL-MA'AMAR A.F., SHEHAB A.T. 2010. Change detections in marsh areas, south Iraq, using remote sensing and GIS applications [online]. Iraqi Bulletin of Geology and Mining. Vol. 6. No. 2 p. 17–39. [Access 25.02.2021]. Available at: https://www.iasj.net/iasj/article/61579
  • JASIM O., HAMED N., ABDULGABAR T. 2018. Change detection and building spatial geodatabase for Iraqi marshes. In: MATEC Web of Conferences. Vol. 162, 03021. EDP Sciences. DOI 10.1051/matecconf/201816203021.
  • JEFFREYS H. 1946. An invariant form for the prior probability in estimation problems. Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences. Vol. 186 (1007) p. 453–461. DOI 10.1098/rspa.1946.0056.
  • LATEEF Z.Q., AL-MADHHACHI A.S.T., SACHIT D.E. 2020. Evaluation of water quality parameters in Shatt AL-Arab, Southern Iraq, Using Spatial Analysis. Hydrology. Vol. 7. No. 4 p. 79–86. DOI 10.3390/hydrology7040079.
  • MEGHRAOUI M., HABI M., MORSLI B., REGAGBA M., SELADJI A. 2017. Mapping of soil erodibility and assessment of soil losses using the RUSLE model in the Sebaa Chioukh Mountains (northwest of Algeria). Journal of Water and Land Development. Vol. No. 34. DOI 10.1515/jwld-2017-0055.
  • MUHSIN I.J. 2017. Monitoring of south Iraq marshes using classification and change detection techniques. Iraqi Journal of Physics (IJP). Vol. 15. No. 33 p. 78–86. DOI 10.30723/ijp.v15i33.143.
  • NAJI T.A., ABDULJABBAR H.M. 2019. The seasonal effect on the water bodies in Iraqi Marshlands [online]. Plant Archives. Vol. 19. No. 2 p. 4397–4403. [Access 28.02.2021]. Available at: http://www.plantarchives.org/19-2/4397-403%20(5949).pdf
  • NAJI T.A., HATEM A.J. 2017. New adaptive satellite image classification technique for al Habbinya region west of Iraq. Ibn AL-Haitham Journal For Pure and Applied Science. Vol. 26. No. 2 p. 143–149. [Access 28.02.2021]. Available at: https://www.iasj.net/iasj/arti-cle/76920
  • NASA 2020. Prediction of worldwide energy resources, data access viewer [online]. [Access 17.11.2020]. Available at: https://power.larc.nasa.gov/data-access-viewer/
  • SALEH S.A. 2012. Studying of the environmental changes in marsh area using Landsat satellite images. Journal of Asian Scientific Research. Vol. 2. No. 8 p. 427–436.
  • UNEP 2007. UNEP in Iraq: Post-conflict assessment, clean-up and reconstruction. Nairobi, Kenya. United Nations Environment Programme. ISBN 978-92-807-2906-1 pp. 78.
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-f8b5ba36-ffcb-4592-a7a1-263efe9ba979
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