Assessing Water Availability and Its Impact on Environmental Pattern Changes in Baghdad City Using NDWI and Web Mapping Techniques

Year 2026, Volume: 11 Issue: 2, 239 - 251

Abolfazl Ghanbari , Khalil Valizadeh Kamran , Fadhaa Abdulrida

https://doi.org/10.26833/ijeg.1654227

Abstract

The resilience of urban communities worldwide is a critical challenge, and Iraqi society, characterized by its size and numerous difficulties, is no exception. Notably, this society emerged along the banks of the Tigris and Euphrates rivers, underscoring the significance and influence of surface water extent on the rise of civilizations. Leveraging the capabilities of the Google Earth Engine platform, this research aims to assess the influence of water cover distribution in Baghdad, Iraq, through online mapping techniques. The study gathers and integrates geospatial data on surface water extent, land use, vegetation, and socio-economic factors, employing remote sensing data to evaluate changes in water bodies and land cover over time. The web-based mapping platform enables interactive visualization of the data, allowing stakeholders and decision-makers to explore the spatial connections of water cover distribution and indicators such as water availability, water quality, and land degradation. By analyzing the outcomes of this web mapping analysis, the research endeavors to provide valuable insights that can support evidence-based decision-making processes, inform urban planning strategies, and guide sustainable water resource management practices. This research contributes to a broader understanding of the intricate relationship of water cover distribution in urban areas, with the utilization of web-based mapping technologies enhancing the accessibility and usability of spatial data, thereby facilitating informed decision-making and promoting sustainable urban development in Baghdad City.

Keywords

Web map application (WMA) , Google Earth Engine (GEE) , Water distribution Camera , Environmental sustainability , Decision-making

References

• Cosgrove, W.J. and D.P. Loucks, Water management: Current and future challenges and research directions. Water Resources Research, 2015. 51(6): p. 4823-4839.
• Ansari, M.A., Re-visiting the Environmental Kuznets curve for ASEAN: A comparison between ecological footprint and carbon dioxide emissions. Renewable and Sustainable Energy Reviews, 2022. 168: p. 112867.
• Uzun, M., Analysis of Manyas Lake surface area and shoreline change over various periods with dsas tool. Türkiye Uzaktan Algılama Dergisi, 2024. 6(1): p. 35-56.
• Guha, S. and H. Govil, Relationship between land surface temperature and normalized difference water index on various land surfaces: A seasonal analysis. International journal of engineering and geosciences, 2021. 6(3): p. 165-173.
• Quitana, G., M. Molinos-Senante, and A. Chamorro, Resilience of critical infrastructure to natural hazards: A review focused on drinking water systems. International Journal of Disaster Risk Reduction, 2020. 48: p. 101575.
• Pamidimukkala, A., et al., Resilience in water infrastructures: a review of challenges and adoption strategies. Sustainability, 2021. 13(23): p. 12986.
• Ochilova, N.R., G.S. Muratova, and D.R. Karshieva, The Importance of Water Quality and Quantity in Strengthening the Health and Living Conditions of the Population. Central Asian Journal of Medical and Natural Science, 2021. 2(5): p. 399-402.
• Njora, B. and H. Yılmaz, Evaluation of water accessibility, distribution, water use policies and management in Kenya. International Journal of Water Management and Diplomacy, 2021. 1(3): p. 5-16.
• Zeynalov, I., et al., Analysis of the sea surface temperature (SST) of the Caspian Sea from NOAA Satellites. Intercontinental Geoinformation Days, 2023. 6: p. 364-367.
• Hasan, R.R., K.H. Alwan, and H.D. Mohammed. Water Supply System Assessment in Urban Areas Using Geospatial Techniques: A Case Study of Baghdad City. in IOP Conference Series: Materials Science and Engineering. 2020. IOP Publishing.
• Baggio, J.A., K. Brown, and D. Hellebrandt, Boundary object or bridging concept? A citation network analysis of resilience. Ecology and Society, 2015. 20(2).
• Cai, Y., Q. Shi, and X. Liu, Spatiotemporal Mapping of Surface Water Using Landsat Images and Spectral Mixture Analysis on Google Earth Engine. Journal of Remote Sensing, 2024. 4: p. 0117.
• Feng, S., et al., Inland water bodies in China: Features discovered in the long-term satellite data. Proceedings of the National Academy of Sciences, 2019. 116(51): p. 25491-25496.
• Pekel, J.-F., et al., High-resolution mapping of global surface water and its long-term changes. Nature, 2016. 540(7633): p. 418-422.
• Brown, E.D. and B.K. Williams, Resilience and resource management. Environmental management, 2015. 56: p. 1416-1427.
• Van Oijstaeijen, W., S. Van Passel, and J. Cools, Urban green infrastructure: A review on valuation toolkits from an urban planning perspective. Journal of environmental management, 2020. 267: p. 110603.
• Zouras, J., Collaborative decision-making in green and blue infrastructure projects: The case of Copenhagen’s Hans Tavsens Park and Korsgade. 2020.
• Wu, J., Urban ecology and sustainability: The state-of-the-science and future directions. Landscape and urban planning, 2014. 125: p. 209-221.
• Delgado, A., et al., Water in circular economy and resilience (WICER) framework. Utilities Policy, 2024. 87: p. 101604.
• Greenfield, E.J. and D.J. Nowak, Tree and impervious cover change in US. 2012.
• Soga, M., et al., Urban residents' perceptions of neighbourhood nature: Does the extinction of experience matter? Biological Conservation, 2016. 203: p. 143-150.
• Tabakoğlu, C., A Review: Detection types and systems in remote sensing. Advanced GIS, 2024. 4(2): p. 100-105.
• El-Bouhali, A., M. Amyay, and K.E.O. Ech-Chahdi, Changes in water surface area of the Middle Atlas-Morocco lakes: A response to climate and human effects. International Journal of Engineering and Geosciences, 2024. 9(2): p. 221-232.
• Jhanwar, M., Application of remote sensing for environmental monitoring in Bijolia mining area of Rajasthan. Journal of the Indian Society of Remote Sensing, 1996. 24: p. 255-264.
• Levend, S. and M.A. Sağ, Suitability Analysis based on GIS and AHP for Urban Development Projects. Türkiye Uzaktan Algılama Dergisi, 2023. 5(1): p. 14-26.
• Lekhak, K., P. Rai, and P.B. Budha, Extraction of water bodies from Sentinel-2 images in the foothills of Nepal Himalaya. International Journal of Environment and Geoinformatics, 2023. 10(2): p. 70-81.
• Zhou, Y., et al., Rapid surface water expansion due to increasing artificial reservoirs and aquaculture ponds in North China Plain. Journal of Hydrology, 2022. 608: p. 127637.
• Martinis, S., et al., Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping. Remote Sensing of Environment, 2022. 278: p. 113077.
• Cutter, S.L., et al., A place-based model for understanding community resilience to natural disasters. Global environmental change, 2008. 18(4): p. 598-606.
• Al-Hameedi, W.M.M., et al., Geospatial analysis of land use/cover change and land surface temperature for landscape risk pattern change evaluation of Baghdad City, Iraq, using CA–Markov and ANN models. Sustainability, 2022. 14(14): p. 8568.
• Chabuk, A., et al., Landfill sites selection using MCDM and comparing method of change detection for Babylon Governorate, Iraq. Environmental science and pollution research, 2019. 26: p. 35325-35339.
• Gorelick, N., et al., Google Earth Engine: Planetary-scale geospatial analysis for everyone. Remote sensing of Environment, 2017. 202: p. 18-27.
• Pan, P., et al., SARS-CoV-2 N protein promotes NLRP3 inflammasome activation to induce hyperinflammation. Nature communications, 2021. 12(1): p. 4664.
• Mira, N., J. Catalão, and G. Nico, On the mitigation of phase bias in SAR interferometry applications: a new model based on NDWI. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2024.
• Kemarau, R.A. and O.V. Eboy, Application of remote sensing on El Niño extreme effect in normalized difference vegetation index (NDVI) and normalized difference water index (NDWI). Malaysian Journal of Applied Sciences, 2021. 6(1): p. 46-56.
• Song, Y. and G.-J. Knaap, Measuring urban form: Is Portland winning the war on sprawl? Journal of the American Planning Association, 2004. 70(2): p. 210-225.
• Yaman, Ş., & Yaman, M. (2024). Creation of Turkiye risk map for Cydalima perspectalis (box tree moth) by weighted overlay analysis. International Journal of Engineering and Geosciences, 9(3), 345-355. https://doi.org/10.26833/ijeg.1434437