Geospatial analysis of surface hydrological parameters for Kyushu Island, Japan

Mohammad Shehata () and Hideki Mizunaga
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Mohammad Shehata: Kyushu University
Hideki Mizunaga: Kyushu University

Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, 2019, vol. 96, issue 1, No 3, 33-52

Abstract: Abstract Defining the surface hydrological parameters represents a crucial factor for the sustainable development purposes. In areas with heavy precipitation and rugged topography, these parameters control the occurrence of some natural hazards, from which the flash flood gets the most attention. Traditional methods for the assessment of the surface hydrological parameters are costly, time-consuming and provide information for limited geographic extent. On the other hand, remotely sensed data provide a cost-effective, rapid and wide aerial coverage with adequate accuracy. Geospatial analysis of these remotely sensed data provides a suitable and effective method for the reconnaissance determination of the surface hydrological parameters. In this work, digital elevation models, Landsat 8 satellite images as well as digital maps of soil and land use for Kyushu Island were acquired and analyzed using geographic information system. Surface hydrological parameters were determined in terms of watershed boundaries, soil moisture, initial abstraction as well as flash flood potentiality. Results of this research show a great correlation with historical flash flood events that occurred in the island. The northern parts of the island are subjected to the threat of flash floods. A follow-up is recommended in some areas on the island. As a conclusion, the geospatial analysis performs an accurate reconnaissance method for hydrological analysis at regional scale, which in turn guides the detailed field observation saving time and cost.

Keywords: Surface hydrological parameters; Geospatial analysis; Initial abstraction; Soil moisture index; Kyushu Island (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/s11069-018-3528-0

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