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Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan

This research is about ascertain the rainfall pattern that related to the occurrence of flooding and geological study on study area. The study area of Kampung Sungai Batu is located at Dabong in Kuala Krai district at the southern part of Kelantan which cover around 25 km2 with the coordinates betwe...

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Main Author: Qurratul Ain Qistina Ibrahim
Format: Undergraduate Final Project Report
Language:English
Published: 2021
Online Access:http://discol.umk.edu.my/id/eprint/13108/1/Qurratul%20Ain%20Qistina.pdf
http://discol.umk.edu.my/id/eprint/13108/
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spelling my.umk.eprints.131082023-05-07T03:20:37Z http://discol.umk.edu.my/id/eprint/13108/ Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan Qurratul Ain Qistina Ibrahim This research is about ascertain the rainfall pattern that related to the occurrence of flooding and geological study on study area. The study area of Kampung Sungai Batu is located at Dabong in Kuala Krai district at the southern part of Kelantan which cover around 25 km2 with the coordinates between longitude 102057’49.19”E to 101057’48.86”E and 5020’23.63”N to 5023’4.52”N for the latitude. The objective of this study is to update a geological map of the study area with scale 1:25000, to determine the most common geological structures at the study area and to analyze the pattern or direction of the present geological structures. Geological mapping is use as methodology and the Geographic Information System (GIS) tools used to generate geological maps. This research work on spatio-temporal analysis of rainfall data is aim to use appropriate spatial statistical methods on the time series rainfall data in Kelantan, to describe and determine the behaviour and pattern of the data. The data on the monthly amount of rainfall between (2009-2019), were collected from Department Irrigation and Drainage (DID). The main aim of this study is to statistically determine whether it is true the flooding in Kelantan throughout the year is because of heavy rainfall. The collected rainfall data has been spatially analysed using ArcGIS to compare the distribution of rainfall from year 2009 to 2019. Hence, the pattern of time series rainfall data has been analysed through Mann Kendall (MK) Test by using SPSS software. From those analysis this study can conclude that the huge amount of rainfall intensity is on year 2014 that contribute an extreme flood event on that particular year. 2021 Undergraduate Final Project Report NonPeerReviewed text en http://discol.umk.edu.my/id/eprint/13108/1/Qurratul%20Ain%20Qistina.pdf Qurratul Ain Qistina Ibrahim (2021) Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan. Final Year Project thesis, Universiti Malaysia Kelantan. (Submitted)
institution Universiti Malaysia Kelantan
building Perpustakaan Universiti Malaysia Kelantan
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Kelantan
content_source UMK Institutional Repository
url_provider http://umkeprints.umk.edu.my/
language English
description This research is about ascertain the rainfall pattern that related to the occurrence of flooding and geological study on study area. The study area of Kampung Sungai Batu is located at Dabong in Kuala Krai district at the southern part of Kelantan which cover around 25 km2 with the coordinates between longitude 102057’49.19”E to 101057’48.86”E and 5020’23.63”N to 5023’4.52”N for the latitude. The objective of this study is to update a geological map of the study area with scale 1:25000, to determine the most common geological structures at the study area and to analyze the pattern or direction of the present geological structures. Geological mapping is use as methodology and the Geographic Information System (GIS) tools used to generate geological maps. This research work on spatio-temporal analysis of rainfall data is aim to use appropriate spatial statistical methods on the time series rainfall data in Kelantan, to describe and determine the behaviour and pattern of the data. The data on the monthly amount of rainfall between (2009-2019), were collected from Department Irrigation and Drainage (DID). The main aim of this study is to statistically determine whether it is true the flooding in Kelantan throughout the year is because of heavy rainfall. The collected rainfall data has been spatially analysed using ArcGIS to compare the distribution of rainfall from year 2009 to 2019. Hence, the pattern of time series rainfall data has been analysed through Mann Kendall (MK) Test by using SPSS software. From those analysis this study can conclude that the huge amount of rainfall intensity is on year 2014 that contribute an extreme flood event on that particular year.
format Undergraduate Final Project Report
author Qurratul Ain Qistina Ibrahim
spellingShingle Qurratul Ain Qistina Ibrahim
Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan
author_facet Qurratul Ain Qistina Ibrahim
author_sort Qurratul Ain Qistina Ibrahim
title Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan
title_short Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan
title_full Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan
title_fullStr Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan
title_full_unstemmed Geology in Kampung Sungai Batu, Dabong, Kuala Krai and a spatio-temporal analysis of rainfall data in Kelantan
title_sort geology in kampung sungai batu, dabong, kuala krai and a spatio-temporal analysis of rainfall data in kelantan
publishDate 2021
url http://discol.umk.edu.my/id/eprint/13108/1/Qurratul%20Ain%20Qistina.pdf
http://discol.umk.edu.my/id/eprint/13108/
_version_ 1765302382751645696
score 13.211869

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