Abstract
In the present study, a multi-influencing factor (MIF) (geospatial model) is used for mapping and assessment of the flood-affected areas in the Iril River catchment of Manipur, India, for the period of 2015–2021. The study region is in the plain valley part of the state, which is frequently prone to flooding due to its topographical landscape and rapid urbanization in recent years. In the MIF method, a major and minor influence is used to inter-relate the parameters and weight is calculated by using MIF score formula. Six parameters were used in MIF method, that is , slope, soil type, drainage density, rainfall, topographical wetness index (TWI), and NDVI (normalized vegetation index). Then each parameter is reclassified into five subclasses and ranking of 1–5 (low to high) is assigned to each subclass of the parameters. The predicted flood-affected areas were divided into four categories: very low, low, moderate, and high. The study region was found to be mostly affected by low to moderate flood (approximately 97%) in every year of the study period (2015–2021), which may not be a cause for concern. However, in terms of the magnitude of flood caused by the high category (as compared to the other flood classes), it was observed that the flood-affected area was highest in 2015, at 33.6 km2 (1.13%), followed by 32.5 km2 (1.09%) in 2017. And lower flood risk is thus observed in 2019 (0.74%) and 2021 (0.79%), respectively. Particularly, the predicted results for the year 2015 were compared and validated with literature and collected data, and a similar flood pattern was observed in this year.
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Khundrakpam, S., Devi, T.T. (2023). Flood Modeling Using MIF Method with GIS Techniques: A Case Study of Iril River Catchment, Manipur, India. In: Pandey, M., Gupta, A.K., Oliveto, G. (eds) River, Sediment and Hydrological Extremes: Causes, Impacts and Management. Disaster Resilience and Green Growth. Springer, Singapore. https://doi.org/10.1007/978-981-99-4811-6_1
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