REMOTE SENSING AND GIS-BASED RESEARCH OF WATER BODIES IN NAKHCHİVAN AUTONOMOUS REPUBLIC

 L.P. Ibrahimova
leylaibrahimova@ndu.edu.az
DOI: 10.59423/gnr.2024.62.94.005

Annotation. The population of the Earth is increasing intensively. This increases the impact of the population on the environment, especially on water bodies. Climate and microclimate changes lead to the destruction of water bodies. For this reason, the study of water basins is relevant. Our study area is also distinguished by the fact that water resources are depleted and increasingly intensive as a result of anthropogenic influences. During the research, we used modern methods, decoding of satellite images, processing of remote Sensing materials, GIS technologies, historical and mathematical-statistical methods. At this time, satellite images from June 1987 and 2023 were selected. Based on it, the NDW index (Normalized Water Difference Index) of Nakhchivan AR area was analyzed. The conducted studies have shown that the area of water basins has decreased and in some areas the water basins have completely dried up.

Keywords: Nakhchivan AR, NDWI, Remote Sensing, GIS, water resources.

References

  1. Babayev S. Naxçıvan Muxtar Respublikasının coğrafiyası. “Elm”, Bakı, 1999, 298 s.
  2. Bababəyli N.S., İmrat F.M. Naxçıvan Muxtar Respublikası çaylarında hidrokimyəvi axın. Naxçıvan Universitetinin Elmi Əsərləri, 1, 2015, s.131-138
  3. Bababəyli N.S., İmrat F.M., Bababəyli Y.N. Düylünçay. NDU-nun Xəbərləri. Təbiət elmləri və tibb seriyası, 8,2014, s.104-110
  4. Adedeji K., Hamam Y., Abe B., Abu-Mahfouz A. Leakage detection and estimation algorithm for loss reduction in water piping networks. Water, 9 (10), 2017, pp. 773
  5. Alvisi S,. Luciani C., Franchini M. Using water consumption smart metering for water loss assessment in a DMA: a case study. Urban Water Journal, 16, 2019, pp. 1–7
  6. Boyle T., Giurco D., Mukheibir P., Liu A., Moy C., White S., Stewart R. Intelligent metering for urban water: a review. Water, 5 (3), 2013, pp. 1052–1081
  7. Britton T. C., Stewart R. A., Halloran K. R. Smart metering: enabler for rapid and effective post meter leakage identification and water loss management. Journal of Cleaner Production, 54, 2013, pp. 166–176.
  8. Candelieri A., Soldi D., Archetti F. Short-term forecasting of hourly water consumption by using automatic metering readers data. Procedia Engineering, 119, 2015, pp. 844–853
  9. Cominola A., Giuliani M., Piga D., Castelletti A., Rizzoli A.E. Benefits and challenges of using smart meters for advancing residential water demand modelling and management: a review. Environmental Modelling & Software, 72, 2015, pp. 198–214
  10. El-Zahab S., Zayed T. Leak detection in water distribution networks: an introductory overview. Smart Water, 4 (1), 2019, pp. 5
  11. Ghalehkhondabi I., Ardjmand E., Young W.A., Weckman G.R. Water demand forecasting: review of soft computing methods. Environmental Mo-nitoring and Assessment, 189(7), 2017, pp. 313
  12. Ishido Y., Takahashi S. A new indicator for real-time leak detection in water distribution networks: design and simulation validation. Procedia Engineering, 89, 2014, pp. 411–417
  13. Luciani C., Casellato F., Alvisi S., Franchini M. Green smart technology for water (GST4Water): water loss identification at user level by using smart metering systems. Water, 11 (3), 2019, pp. 405
  14. Mutchek M., Williams E. Moving towards sustainable and resilient smart water grids. Challenges, 5 (1), 2014, pp. 123–137
  15. Sayre S.S., Taraz V. Groundwater depletion in India: social losses from costly well deepening. Journal of Environmental Economics and Management, 93, 2019, pp. 85–100.
  16. Shahanas K.M., Sivakumar P.B. Framework for a smart water management system in the context of smart city initiatives in India. Procedia Computer Science, 92, 2016, pp. 142–147
  17. Xu Y., Goodacre R. On splitting training and validation set: a comparative study of cross-validation, bootstrap and systematic sampling for estimating the generalization performance of supervised learning. Journal of Analysis and Testing, 2 (3), 2018, pp. 249–262

Accepted for publication: November 15, 2024

Download article

L.P. Ibrahimova – Remote sensing and GIS-based research of water bodies in Nakhchivan Autonomous Republic. Geography and Natural Resources, №2 (22), 2024, pp. 28-31.

 

Similar Posts

Leave a Reply

Your email address will not be published. Required fields are marked *