Seasonal Variability of Waterlogging in Rangpur City Corporation Using GIS and Remote Sensing Techniques

  • Md. Naimur Rahman Department of Geography and Environmental Science, Begum Rokeya University, Rangpur, Park Mor, Modern, Rangpur, 5404, Bangladesh
  • Sajjad Hossain Shozib Department of Environmental Engineering, Nanjing Forestry University, No.159 Longpan Road, Nanjing, 210037, China

Abstract

Waterlogging hazard is a significant environmental issue closely linked to land use for sustainable urbanization. NDWI is widely and effectively used in identifying and visualizing surface water distribution based on satellite imagery. Landsat 7 ETM+ and Landsat 8 OLI TIRS images of pre and post-monsoon (2002, 2019) have been used. The main objective of this study is to detect the seasonal variation of waterlogging in Rangpur City Corporation (RPCC) in 2002 and 2019. In the present study, we used an integrated procedure by using ArcGIS raster analysis. For pre and post-monsoon, almost 93% accuracy was obtained from image analysis. Results show that in 2002 during the pre and post-monsoon period, waterlogged areas were about 159.58 km2 and 32.32 km2, respectively, wherein in 2019, the changes in waterlogged areas are reversed than 2002. In 2019, during pre-monsoon, waterlogged area areas were 122.79 km2, and during post-monsoon, it increased to 127.05 km2. The research also depicts that the trend of the waterlogging situation largely depends on seasonal rainfall and a flawed drainage system.


Keywords : Seasonal variation; Waterlogging; Remote sensing; GIS; Rangpur City Corporation


 


Copyright (c) 2021 Geosfera Indonesia and Department of Geography Education, University of Jember


Creative Commons License
This work is licensed under a Creative Commons Attribution-Share A like 4.0 International License

References

Abbas, Z., & Jaber, H. S. (2020). Accuracy assessment of supervised classification methods for extraction land use maps using remote sensing and GIS techniques. In IOP Conference Series: Materials Science and Engineering (Vol. 745, No. 1, p. 012166). IOP Publishing.

Awal, M. A., & Islam, A. T. (2020). Water logging in south-western coastal region of Bangladesh: causes and consequences and people’s response. Asian Journal of Geographical Research, 9-28. https://doi.org/10.9734/ajgr/2020/v3i230102.

Ayyam, V., Palanivel, S., & Chandrakasan, S. (2019). Land and Water Conservation: Dealing with Agriculture and Aquaculture Conflicts. Coastal Ecosystems of the Tropics-Adaptive Management (pp. 391-406): Springer.http://dx.doi.org/10.1007/978-981-13-8926-9_17.

Bakker, D., Hamilton, G., Houlbrooke, D., Spann, C., & Van Burgel, A. (2007). Productivity of crops grown on raised beds on duplex soils prone to waterlogging in Western Australia. Australian Journal of Experimental Agriculture, 47(11), 1368-1376. https://doi.org/10.1071/EA06273.

Bangladesh Meteorological Department (2019). Climate Data Portal. Retrieved from
http://live3.bmd.gov.bd/.

Bowonder, B., Ramana, K., & Rajagopal, R. (1986). Waterlogging in irrigation projects. Sadhana, 9(3), 177. https://doi.org/10.1007/BF02811964.

Chen, J., & Zhu, W. (2020). Consistency evaluation of landsat-7 and landsat-8 for improved monitoring of colored dissolved organic matter in complex water. Geocarto International, 1-12. https://doi.org/10.1080/10106049.2020.1734872.

Choubey, V. (1998). Assessment of waterlogging in Sriram Sagar command area, India, by remote sensing. Water resources management, 12(5), 343-357. https://doi.org/10.1023/A:1008053705535.

Chowdary, V., Chandran, R. V., Neeti, N., Bothale, R., Srivastava, Y., Ingle, P., . . . Sharma, J. (2008). Assessment of surface and sub-surface waterlogged areas in irrigation command areas of Bihar state using remote sensing and GIS. Agricultural water management, 95(7), 754-766. https://doi.org/10.1016/j.agwat.2008.02.009.

Foody, G. M. (2020). Explaining the unsuitability of the kappa coefficient in the assessment and comparison of the accuracy of thematic maps obtained by image classification. Remote Sensing of Environment, 239, 111630. https://doi.org/10.1016/j.rse.2019.111630.

Guha, S., Govil, H., & Besoya, M. (2020). An investigation on seasonal variability between LST and NDWI in an urban environment using Landsat satellite data. Geomatics, Natural Hazards and Risk, 11(1), 1319-1345. https://doi.org/10.1080/19475705.2020.1789762.

Hassan, M. S., & Mahmud-Ul-Islam, S. (2014). Detection of waterlogging areas based on passive remote sensing data in Jessore District of Khulna Division, Bangladesh. International Journal of Scientific and Research Publications (IJSRP), 4 (12).

Hossain, M. A., & Uddin, S. N. (2011). Mechanisms of Waterlogging Tolerance in Wheat: Morphological and Metabolic Adaptations Under Hypoxia Or Anoxia. Australian Journal of Crop Science, 5(9), 1094.

Huda, N., Terao, T., Murayama, S., & Suenaga, Y. (2019). Detection of waterlogging floods in bengal mega-delta from people’s perception underpinned by hydrometeorological dataset. Journal of Recent Advances in Marine Science and Technology, 13.

Islam, A., Rahman, M. S., Khatun, R., & Hu, Z. (2020). Spatiotemporal trends in the frequency of daily rainfall in Bangladesh during 1975–2017. Theoretical and Applied Climatology, 141(3), 869–887. https://doi.org/10.1007/s00704-020-03244-x.

Islam, E., Khan, S. A., Khaleque, M. A., & Ahammed, S. S. (2020). Waterlogging in the Southwest Coastal Areas of Bangladesh: Local Adaptation Techniques and Challenges. American Scientific Research Journal for Engineering, Technology, and Sciences (ASRJETS), 68(1), 112-119.

Islam, W., & Sarker, S. C. (2016). Monitoring the changing pattern of land use in the Rangpur City corporation using remote sensing and GIS. Journal of Geographic Information System, 8(04), 537. https://doi.org/10.4236/jgis.2016.84045.

Khine, M. M., Maw, Y. Y., & Win, K. M. M. (2018). Change analysis of indices (NDWI, NDVI, NDBI) for Mawlamyine City area using google earth engine. J. Myanmar Acad. Arts Sci., 16 (5).

Mahmud, M. I., Mia, A. J., Uddin, M. R., Rahman, M. M., & Rahman, M. H. (2017). Assessment on seasonal variations in waterlogging using remote sensing and GIS techniques in Satkhira District in Bangladesh. Barisal University Journal, 4(1):67-80.

Mannan, M., & Karmakar, S. (2008). Climatic feature of heavy rainfall activities in monsoon season and its socio-economic impact in Bangladesh. In Proceedings of SAARC Seminar on Application of Weather and Climate Forecasts in the Socio-economic Development and Disaster Mitigation (pp. 5-7).

McFeeters, S. K. (1996). The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features. International Journal of Remote Sensing, 17(7), 1425-1432. https://doi.org/10.1080/01431169608948714.

Minar, M. H., Hossain, M. B., & Shamsuddin, M. (2013). Climate change and coastal zone of Bangladesh: vulnerability, resilience and adaptability. Middle-East Journal of Scientific Research, 13(1), 114-120. DOI: 10.5829/idosi.mejsr.2013.13.1.64121. https://doi.org/10.15244/pjoes/110447.

Montes, C., Acharya, N., Hassan, S. M. Q., & Krupnik, T. J. (2021). Intense precipitation events during the monsoon season in Bangladesh as captured by satellite-based products. Journal of Hydrometeorology. https://doi.org/10.1175/JHM-D-20-0287.1

Morales-Barquero, L., Lyons, M. B., Phinn, S. R., & Roelfsema, C. M. (2019). Trends in remote sensing accuracy assessment approaches in the context of natural resources. Remote Sensing, 11(19), 2305. https://doi.org/10.3390/rs11192305.

Özelkan, E. (2020). Water body detection analysis using NDWI indices derived from Landsat-8 OLI. Polish Journal of Environmental Studies, 29(2), 1759-1769. https://doi.org/10.15244/pjoes/110447.

Quan, R.-S., Liu, M., Lu, M., Zhang, L.-J., Wang, J.-J., & Xu, S.-Y. (2010). Waterlogging risk assessment based on land use/cover change: a case study in Pudong New Area, Shanghai. Environmental Earth Sciences, 61(6), 1113-1121. https://doi.org/10.1007/s12665-009-0431-8.

Qureshi, A. S., McCornick, P. G., Qadir, M., & Aslam, Z. (2008). Managing salinity and waterlogging in the Indus Basin of Pakistan. Agricultural Water Management, 95(1), 1-10. https://doi.org/10.1016/j.agwat.2007.09.014.

Rahman, M. S., & Islam, A. R. M. T. (2019). Are precipitation concentration and intensity changing in Bangladesh overtimes? Analysis of the possible causes of changes in precipitation systems. Science of The Total Environment, 690, 370-387. https://doi.org/10.1016/j.scitotenv.2019.06.529.

Romina, P., Abeledo, L. G., & Miralles, D. J. (2018). Physiological traits associated with reductions in grain number in wheat and barley under waterlogging. Plant and Soil, 429(1-2), 469-481. https://doi.org/10.1007/s11104-018-3708-4.

Sahu, A. S. (2014). A study on Moyna Basin water-logged areas (India) using remote sensing and GIS methods and their contemporary economic significance. Geography Journal, 2014, 1–9. https://doi.org/10.1155/2014/401324.

Sar, N., Chatterjee, S., & Adhikari, M. D. (2015). Integrated remote sensing and GIS based spatial modelling through analytical hierarchy process (AHP) for water logging hazard, vulnerability and risk assessment in Keleghai river basin, India. Modeling Earth Systems and Environment, 1(4), 31. https://doi.org/10.1007/s40808-015-0039-9.

Shaibur, M. R., Shamim, A. H. M., Rizvi, M. M., Amara, U., & Sarwar, S. (2019). Local Adaptation Strategies with Waterlogging Condition in Beel Kapalia Region, Jashore, Bangladesh. Environmental and Biological Research, 1(1), 22-31. https://doi.org/10.1155/2014/401324.

Solaiman, Z., Colmer, T., Loss, S., Thomson, B., & Siddique, K. (2007). Growth responses of cool-season grain legumes to transient waterlogging. Australian Journal of Agricultural Research, 58(5), 406-412. https://doi.org/10.1071/AR06330.

Talukdar, S., Ghose, B., Salam, R., Mahato, S., Pham, Q. B., Linh, N. T. T., . . . Avand, M. (2020). Flood susceptibility modeling in Teesta River basin, Bangladesh using novel ensembles of bagging algorithms. Stochastic Environmental Research and Risk Assessment, 34(12), 2277–2300. https://doi.org/10.1007/s00477-020-01862-5.

The Daily Star (2021). Heavy Rain Disrupts Life in Dhaka. Retrieved from https://www.thedailystar.net/tags/heavy-rain.

Islam, A. R. M. T., Rahman, M. S., Khatun, R., & Hu, Z. (2020). Spatiotemporal trends in the frequency of daily rainfall in Bangladesh during 1975–2017. Theoretical and Applied Climatology, 141(3), 869–887. https://doi.org/10.1007/s00704-020-03244-x.

Ullah, S., You, Q., Ullah, W., & Ali, A. (2018). Observed changes in precipitation in China-Pakistan economic corridor during 1980–2016. Atmospheric Research, 210(C), 1–14. https://doi.org/10.1016/j.atmosres.2018.04.007.

Yaduvanshi, N., Setter, T., Sharma, S., Singh, K., & Kulshreshtha, N. (2012). Influence of waterlogging on yield of wheat (Triticum aestivum), redox potentials, and concentrations of microelements in different soils in India and Australia. Soil Research, 50(6), 489–499. https://doi.org/10.1071/SR11266.
Published
2021-08-17
How to Cite
RAHMAN, Md. Naimur; SHOZIB, Sajjad Hossain. Seasonal Variability of Waterlogging in Rangpur City Corporation Using GIS and Remote Sensing Techniques. Geosfera Indonesia, [S.l.], v. 6, n. 2, p. 143-156, aug. 2021. ISSN 2614-8528. Available at: <https://jurnal.unej.ac.id/index.php/GEOSI/article/view/21006>. Date accessed: 15 aug. 2022. doi: https://doi.org/10.19184/geosi.v6i2.21006.
Section
Original Research Articles