Framework for rainfall estimation using X-Band polarimetric radar

Framework for rainfall estimation using X-Band polarimetric radar

Several countries, including Japan and the United States, have developed and researched X-Band polarimetric radar technology for disaster preparedness applications. However, this weather radar is still unavailable in tropical countries such as Malaysia, which has experienced flash floods and flood e...

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Main Author: Abu Hasan, Nooradilla
Format: Thesis
Language:English
Published: 2022
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Online Access:http://eprints.utm.my/id/eprint/100370/1/NooradillaAbuHasanPMJIIT2022.pdf
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spelling my-utm-ep.1003702023-04-13T02:27:06Z Framework for rainfall estimation using X-Band polarimetric radar 2022 Abu Hasan, Nooradilla TK Electrical engineering. Electronics Nuclear engineering Several countries, including Japan and the United States, have developed and researched X-Band polarimetric radar technology for disaster preparedness applications. However, this weather radar is still unavailable in tropical countries such as Malaysia, which has experienced flash floods and flood events, particularly during the monsoon season. The ability of X-Band polarimetric radar to observe rainfall for a localised area (30-60 km of observation radius) using a dual polarisation method can provide detailed and precise information to the disaster area in one or two minutes. Therefore, this research aimed to develop the framework of rainfall estimation by using X-Band polarimetric radar data. This research used Design Science Research (DSR) approach as the methodology. First, a systematic literature review was conducted to identify the current weather radar monitoring system in Malaysia and examine the theoretical background of X-Band polarimetric radar and its applications, as well as the components of the X-band polarimetric radar framework. Second, the DPPC server was set up with the study area and rainfall data of Kagoshima City. The study area data comprises Digital Elevation Model (DEM) and drainage area; whereas the rainfall data comprises X-Band polarimetric radar and AMeDAS ground data. Third, the framework components - storage, analysis tools and visualisation – were analysed using the X-Band polarimetric radar data to process the actual radar data and estimate the rainfall in four selected drainage areas. The analysis includes preprocessing raw data, clipping the DEM, selecting the drainage area, extracting rainfall data, and plotting the hyetograph. This is followed by the reliability analysis of the rainfall estimation from the extraction of X-Band polarimetric rainfall data analysed based on AMeDAS ground data. The validation results showed that there is a moderate positive correlation between X-Band polarimetric and AMeDAS with R2 of 0.24 and p = 0.009. Further, the comparison of rainfall distribution results for both data by using QGIS showed that AMeDAS data was not reflecting actual rainfall monitored by XBand polarimetric radar due to no AMeDAS stations in the drainage area and the distribution image from X-Band polarimetric radar was in real-time. All four drainage areas recorded heavy rain in the upper stream and showed the exact locations that had the highest intensity and the probability that the area closest to the drainage area would flood. In conclusion, it has been demonstrated that the newly developed framework translates real raw X-Band polarimetric radar data into accessible engineering data formats and that it can be used to estimate rainfall in a localised area. 2022 Thesis http://eprints.utm.my/id/eprint/100370/ http://eprints.utm.my/id/eprint/100370/1/NooradillaAbuHasanPMJIIT2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:151023 phd doctoral Universiti Teknologi Malaysia, Malaysia-Japan International Institute of Technology Malaysia-Japan International Institute of Technology
institution Universiti Teknologi Malaysia
collection UTM Institutional Repository
language English
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Abu Hasan, Nooradilla
Framework for rainfall estimation using X-Band polarimetric radar
description Several countries, including Japan and the United States, have developed and researched X-Band polarimetric radar technology for disaster preparedness applications. However, this weather radar is still unavailable in tropical countries such as Malaysia, which has experienced flash floods and flood events, particularly during the monsoon season. The ability of X-Band polarimetric radar to observe rainfall for a localised area (30-60 km of observation radius) using a dual polarisation method can provide detailed and precise information to the disaster area in one or two minutes. Therefore, this research aimed to develop the framework of rainfall estimation by using X-Band polarimetric radar data. This research used Design Science Research (DSR) approach as the methodology. First, a systematic literature review was conducted to identify the current weather radar monitoring system in Malaysia and examine the theoretical background of X-Band polarimetric radar and its applications, as well as the components of the X-band polarimetric radar framework. Second, the DPPC server was set up with the study area and rainfall data of Kagoshima City. The study area data comprises Digital Elevation Model (DEM) and drainage area; whereas the rainfall data comprises X-Band polarimetric radar and AMeDAS ground data. Third, the framework components - storage, analysis tools and visualisation – were analysed using the X-Band polarimetric radar data to process the actual radar data and estimate the rainfall in four selected drainage areas. The analysis includes preprocessing raw data, clipping the DEM, selecting the drainage area, extracting rainfall data, and plotting the hyetograph. This is followed by the reliability analysis of the rainfall estimation from the extraction of X-Band polarimetric rainfall data analysed based on AMeDAS ground data. The validation results showed that there is a moderate positive correlation between X-Band polarimetric and AMeDAS with R2 of 0.24 and p = 0.009. Further, the comparison of rainfall distribution results for both data by using QGIS showed that AMeDAS data was not reflecting actual rainfall monitored by XBand polarimetric radar due to no AMeDAS stations in the drainage area and the distribution image from X-Band polarimetric radar was in real-time. All four drainage areas recorded heavy rain in the upper stream and showed the exact locations that had the highest intensity and the probability that the area closest to the drainage area would flood. In conclusion, it has been demonstrated that the newly developed framework translates real raw X-Band polarimetric radar data into accessible engineering data formats and that it can be used to estimate rainfall in a localised area.
format Thesis
qualification_name Doctor of Philosophy (PhD.)
qualification_level Doctorate
author Abu Hasan, Nooradilla
author_facet Abu Hasan, Nooradilla
author_sort Abu Hasan, Nooradilla
title Framework for rainfall estimation using X-Band polarimetric radar
title_short Framework for rainfall estimation using X-Band polarimetric radar
title_full Framework for rainfall estimation using X-Band polarimetric radar
title_fullStr Framework for rainfall estimation using X-Band polarimetric radar
title_full_unstemmed Framework for rainfall estimation using X-Band polarimetric radar
title_sort framework for rainfall estimation using x-band polarimetric radar
granting_institution Universiti Teknologi Malaysia, Malaysia-Japan International Institute of Technology
granting_department Malaysia-Japan International Institute of Technology
publishDate 2022
url http://eprints.utm.my/id/eprint/100370/1/NooradillaAbuHasanPMJIIT2022.pdf
_version_ 1776100684618268672

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