GIS-BASED ENVIRONMENTAL RISK ASSESSMENT IN INDUSTRIAL CITIES: METHODOLOGICAL FRAMEWORK AND APPLICATION TO ALMALYK, UZBEKISTAN

Authors

  • Adilov Zarif Himmatovich Department of Architecture, TASHKENT UNIVERSITY OF ARCHITECTURE AND CIVIL ENGINEERING, UZBEKISTAN
  • Ziad Baydoun College of Architecture, Art and Design, Ajman University, United Arab Emirates
  • Oripova Sarvinoz Abduqaxor qizi Department of Architecture, TASHKENT UNIVERSITY OF ARCHITECTURE AND CIVIL ENGINEERING, UZBEKISTAN
  • Ubaydullakhujaev Saidazizkhuja Utkur ugli Department of Architecture, TASHKENT INTERNATIONAL UNIVERSITY OF FINANCE AND TECHNOLOGY, UZBEKISTAN
  • Mamazhanova Zukhra Alizhon kizi Higher School of Science, Basic Doctoral Student, Uzbekistan

DOI:

https://doi.org/10.21837/pm.v24i43.2136

Keywords:

Geographic information systems, Environmental risk assessment, Industrial city, Almalyk, remote sensing, Spatial analysis, AHP, Environmental monitoring

Abstract

Industrial cities are characterized by the coexistence of intensive production, dense settlement patterns, transport infrastructure, and long-term anthropogenic pressure on environmental systems. Under such conditions, environmental risk is not confined to a single medium but emerges through the interaction of atmospheric pollution, groundwater and soil contamination, ecological degradation, and human exposure. This study develops a geoinformation-based methodological framework for assessing environmental risks in industrial urban territories and applies it to Almalyk, Uzbekistan, as a representative mining and metallurgical city. The framework integrates remote sensing, spatial interpolation, buffer analysis, thematic layer overlay, and multi-criteria evaluation within a unified GIS environment. Environmental indicators related to air quality, groundwater contamination, land use, vegetation condition, industrial proximity, and population vulnerability are standardized and combined to derive a composite environmental risk index. The results show that environmental burden in Almalyk is unevenly distributed and is concentrated in industrial zones and adjoining residential territories, especially those influenced by mining and metallurgical activity, waste disposal areas, and pollutant transport pathways. The resulting risk map provides a practical analytical basis for environmental monitoring, urban planning, zoning control, and public health protection in industrial cities.

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References

Acar, R. U., & Zengin, E. (2023). PERFORMANCE ASSESSMENT OF LANDSAT 8 AND SENTINEL-2 SATELLITE IMAGES FOR THE PRODUCTION OF TIME SERIES LAND USE/LAND COVER (LULC) MAPS. Journal of Scientific Reports-A, 053, 1–15. https://doi.org/10.59313/JSR-A.1213548

Artat, A., Ali, B., Nelson, J., Ali, A. A. B., & Nelson, J. (2025). Integrative Multi-Criteria Geospatial Modeling for Assessing Compound Flood-Contamination Risks in Vulnerable Communities. Environmental Processes 2025 12:4, 12(4), 58-. https://doi.org/10.1007/S40710-025-00803-0

Balamurugan, P., Kumar, P. S., Shankar, K., Nagavinothini, R., Vijayasurya, K., Balamurugan, P., Kumar, P. S., Shankar, K., Nagavinothini, R., & Vijayasurya, K. (2020). NON-CARCINOGENIC RISK ASSESSMENT OF GROUNDWATER IN SOUTHERN PART OF SALEM DISTRICT IN TAMILNADU, INDIA. Journal of the Chilean Chemical Society, 65(1), 4697–4707. https://doi.org/10.4067/S0717-97072020000104697

Baydoun, Z., Baydoun, M., Mustafa, M. H., Kadi, S., & Khasanov, A. (2025). THE ENDURING LEGACY OF MASHRABIYA IN ISLAMIC ARCHITECTURE AND DESIGN. PLANNING MALAYSIA, 23(1), 537–554. https://doi.org/10.21837/pm.v23i35.1696

Baydoun, Z., Bin, N., Din, C., Iseric, T., Dildora Shukhratovna, M., & Shukhratovna, S. N. (2025). THE ROLE OF MOSQUES IN SUSTAINABLE COMMUNITIES: BOSNIA AND MALAYSIA COMPARED. PLANNING MALAYSIA, 23. https://doi.org/10.21837/PM.V23I38.1812

Baydoun, Z., Putri, T., Mustafa, F., Adam, M., & Farooq, A. (2024). PRINCIPLES OF CALLIGRAPHY PLACEMENT IN ISLAMIC PUBLIC BUILDINGS. Journal of Islamic Architecture, 8(2), 356. https://doi.org/10.18860/jia.v8i2.25772

Benza, M., Weeks, J. R., Stow, D. A., López-Carr, D., & Clarke, K. C. (2016). A pattern-based definition of urban context using remote sensing and GIS. Remote Sensing of Environment, 183, 250–264. https://doi.org/10.1016/J.RSE.2016.06.011

Calka, B., & Szostak, M. (2025). GIS-Based Environmental Monitoring and Analysis. Applied Sciences 2025, Vol. 15, Page 3155, 15(6), 3155. https://doi.org/10.3390/APP15063155

Cegan, J. C., Filion, A. M., Keisler, J. M., & Linkov, I. (2017). Trends and applications of multi-criteria decision analysis in environmental sciences: literature review. Environment Systems and Decisions 2017 37:2, 37(2), 123–133. https://doi.org/10.1007/S10669-017-9642-9

Chen, L., Mao, Y., & Zhao, R. (2022). GIS application in environmental monitoring and risk assessment. 2022 3rd International Conference on Geology, Mapping and Remote Sensing, ICGMRS 2022, 908–917. https://doi.org/10.1109/ICGMRS55602.2022.9849269

Dong, J., Liang, X., Du, B., Ju, Y., Wang, Y., & Guo, H. (2025). Applications of Geographic Information Systems in Ecological Impact Assessment: A Methods Landscape, Practical Bottlenecks, and Future Pathways. Sustainability 2025, Vol. 17, Page 10358, 17(22), 10358. https://doi.org/10.3390/SU172210358

Gewers, F. L., Ferreira, G. R., De Arruda, H. F., Silva, F. N., Comin, C. H., Amancio, D. R., & Costa, L. D. F. (2022). Principal component analysis: A natural approach to data exploration. ACM Computing Surveys, 54(4). https://doi.org/10.1145/3447755;JOURNAL:JOURNAL:CSUR;WGROUP:STRING:ACM

He, S., Yu, S., Li, G., & Zhang, J. (2020). Exploring the influence of urban form on land-use efficiency from a spatiotemporal heterogeneity perspective: Evidence from 336 Chinese cities. Land Use Policy, 95, 104576. https://doi.org/10.1016/J.LANDUSEPOL.2020.104576

Janarthanan, K., Narayanan, S., Manimaran, A., Narayanan, K. J. S., & Manimaran, A. (2023). Recent developments in geographic information systems across different application domains: a review. Knowledge and Information Systems 2023 66:3, 66(3), 1523–1547. https://doi.org/10.1007/S10115-023-01969-5

Mehta, L., Leach, M., & Scoones, I. (2025). Environmental Governance in an Uncertain World (Editorial). IDS Bulletin, 56(1A), 68–76. https://doi.org/10.19088/1968-2025.110

Mohammed Hamud, A., Mobarak Prince, H., & Zulhaidi Shafri, H. (2019). Landuse/Landcover mapping and monitoring using Remote sensing and GIS with environmental integration. IOP Conference Series: Earth and Environmental Science, 357(1), 012038. https://doi.org/10.1088/1755-1315/357/1/012038

Mojaddadi, H., Pradhan, B., Nampak, H., Ahmad, N., & Ghazali, A. H. bin. (2017). Ensemble machine-learning-based geospatial approach for flood risk assessment using multi-sensor remote-sensing data and GIS. Geomatics, Natural Hazards and Risk, 8(2), 1080–1102. https://doi.org/10.1080/19475705.2017.1294113

Ncibi, K., Hamed, Y., Hadji, R., Busico, G., Benmarce, K., Missaoui, R., & Wederni, K. (2023). Hydrogeochemical characteristics and health risk assessment of potentially toxic elements in groundwater and their relationship with the ecosystem: case study in Tunisia. Environmental Science and Pollution Research 2023 30:14, 30(14), 40031–40048. https://doi.org/10.1007/S11356-022-25016-Y

Perez-Lancellotti, G., Ziede, M., Khoja, A., Felicioni, L., Danylenko, O., Sabyrbekov, R., & Overland, I. (2025). Urban climate resilience in transition economies: the case of Central Asia. Environmental Research Letters, 20(7), 074057. https://doi.org/10.1088/1748-9326/ADDFEE

Pupentsova, S. V, Alekseeva, N. S., Korosteleva, N. V, & Rastyapina, O. A. (2019). Integration of industrial territories into the urban environment. IOP Conference Series: Materials Science and Engineering, 687(5), 055017. https://doi.org/10.1088/1757-899X/687/5/055017

Song, X. P., Huang, W., Hansen, M. C., & Potapov, P. (2021). An evaluation of Landsat, Sentinel-2, Sentinel-1 and MODIS data for crop type mapping. Science of Remote Sensing, 3, 100018. https://doi.org/10.1016/J.SRS.2021.100018

Wen, S., Fan, J., & Pang, G. (2026). Groundwater Pollution Prevention Zoning in Coastal Industrial Regions Based on a Quantitative Risk Index: A Case Study of the Eastern Hebei Plain, China. Sustainability 2026, Vol. 18, Page 1488, 18(3), 1488. https://doi.org/10.3390/SU18031488

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Published

2026-08-09

How to Cite

Himmatovich, A. Z., Baydoun, Z., Abduqaxor qizi, O. S., Utkur ugli, U. S., & Alizhon kizi, M. Z. (2026). GIS-BASED ENVIRONMENTAL RISK ASSESSMENT IN INDUSTRIAL CITIES: METHODOLOGICAL FRAMEWORK AND APPLICATION TO ALMALYK, UZBEKISTAN. PLANNING MALAYSIA, 24(43). https://doi.org/10.21837/pm.v24i43.2136

Issue

Vol. 24 (2026): PLANNING MALAYSIA JOURNAL : Volume 24, Issue 4, 2026

Section

Article

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