A STUDY ON THE CORRELATION BETWEEN PRECIPITATION
WITH TEMPERATURE, RELATIVE HUMIDITY AND
EVAPORATION BY USING R2 MULTIPLE REGRESSION ANALYSIS
Hisyammudin bin Maseri
Master of Engineering
(Civil Engineering)
2014
__
1
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UNIVERSITI MALAYSIA SARAWAK
Grade: _____
Please tick <..J> Final Year Project Report 0 Masters ~ PhD I I
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APPROVAL SHEET
This project report which entitled "A Study on the Correlation between Precipitation with Temperature, Relative Humidity and Evaporation by using R2 Multiple Regression Analysis," was prepared by Hisyammudin bin Maseri (14030208) is
hereby read and approved by:
Dr. Onni Suhaiza bt Selaman Date: Project Supervisor
~~~MUlumat Akademik ""'AT~"I MALAYSIA SARAwAJ(
A STUDY ON THE CORRELATION BETWEEN PRECIPITATION WITH TEMPERATURE, RELATIVE HUMIDITY AND
EV APORA TION BY USING R2 MULTIPLE REGRESSION ANALYSIS
HISY AMMUDIN BIN MASERI
I,
Master of Engineering
(Civil Engineering)
2014
ACKNOWLEDGEMENT
In the name of Allah S.W.T., the Most Beneficent, the Most Merciful. I would like to
offer thanks to God for His grace, and then let me complete this thesis report
successfully.
I have taken efforts in this project. However, it would not have been possible without the
kind support and help of many individuals and organizations. I would like to extend my
sincere thanks to all of them.
First and foremost i would like to express my special thanks of gratitude to my
supervisor, Dr. Onni Suhaiza Binti who gave me the golden opportunity to do this
wonderful project on the topic, which also helped me in doing a lot of research and i
came to know about so many new things and i am really thankful to her. It would be
impossible for me to get this study completed without support, motivation and her
guidance.
11
Further appreciation and gratitude I would like to express to my co-supervisor, Assoc.
Prof. Dr. Nasser for his valuable suggestions to improve the quality of the study.
Secondly, I would also like to thank to my parents for his encouragement, support,
advices and helped me a lot in finalizing this thesis project within the limited time
frame.
Special thanks to all staff member from UNIMAS, particularly to those who are in the
Engineering Faculty, staff member from the Department of Irrigation and Drainage
(DID) Kota Samarahan Branches, especially to Mrs Jumaliah, and special thanks to staff
member from Meteorology Department Sarawak particularly to Mr. Raburi and Mdm
Mary Jiew for his valuable assisting.
Furthennore, I would like to thank and express feelings of indebtedness to her very
cooperative and supportive friends: Aizat, Cindy, Marina Patrick, Jason, Yennyie,
Noraida, Jude, Nurul Razarine, and Jeffry for their genuine help and support.
Finally, to all individuals who have contributed any amount of help but their names are
not mentioned in person, I would like to thank all of them very much and pray may your
reward come from the Almighty.
111
iv
ABSTRACT
Precipitation is one of the parameter in hydrological cycle and this process begins when
heat from the sun evaporates water from Earth's surface. However, evaporation is depends both
on its temperature and on the concentration of humidity. The objective of this study is to identify
the highest correlation factor R2 between precipitation with combination temperature, evaporation
and humidity in general without considering monsoon and by taking into account monsoon
aspect (North-East and South-West monsoon) at Kuching International Airport, Sibu Airport,
Bintulu Airport and Miri Airport station. Simple regression analysis and multiple regression
analysis were adopted in this research to determine the correlation factor R2 value where
precipitation as a dependent variable while temperature, humidity and evaporation as an
independent variable. There were seven relationships tested in this study: (i) P-THE, (ii) P-TH,
(iii) P-TE, (iv) P-HE, (v) P-T, (vi) P-H, and (vii) P-E. The outcome from relationship between
dependent variable of precipitation with combination dependent variable (P-THE) from the
multiple regressions analysis contributed the highest R2 value: (i) without considering monsoon
(ii) considering monsoon for all stations.
v
ABSTRAK
Taburan hujan merupakan salah satu daripada parameter dalam kitaran hidrologi dan
proses ini bermula apabila haba dari matahari menyejat air dari permukaan bumi. Walau
bagaimanapun, penyejatan adalah bergantung pada suhu dan kelembapan udara di sekililng.
Objektif kajian ini adalah untuk mengenalpasti faktor korelasi tertinggi R2 di antara hujan dengan
gabungan diantara suhu, penyejatan dan kelembapan secara (i) umum tanpa mengambil kira
faktor monsun dan (ii) mengambil kira aspek monsun (monsoon Timur laut dan monsoon Barat
Daya) di Lapangan Terbang Antarabangsa Kuching, Lapangan Terbang Sibu , Lapangan Terbang
Bintulu dan stesen Lapangan Terbang Miri sebagai stesen cerapan. Analisis regresi linear dan
analisis regresi berganda diguna pakai dalam kajian ini untuk menentukan nilai R2 di mana hujan
sebagai “dependent variable” manakala gabungan suhu, kelembapan dan penyejatan sebagai
“independent variable”. Terdapat tujuh hubungan telah diuji dalam kajian ini: (i) P-THE, (ii) P-
TH, (iii) P-TE, (iv) P-HE, (v) PT, (vi) PH, dan (vii) PE. Hasil daripada hubungan antara hujan
dengan gabungan suhu, penyejatan dan kelembapan (P-THE) menghasilkan nilai R2 tertinggi
daripada gabungan lain: (i) secara umum tanpa mengira monsun (ii) mengambil kira aspek
monsun untuk semua stesen cerapan.
vi
Table of content
Page
Acknowledgements ii
Abstract iv
Abstrak v
Table of Content vi
List of Figure x
List of Table xii
CHAPTER 1: INTRODUCTION
1.1 Introduction 1
1.2 Problem statement 2
1.3 Objective 4
1.4 Scope of work 4
1.5 Chapter outline 5
CHAPTER 2 : LITERATURE REVIEW
2.1 Precipitation 7
2.2 Relationship between Precipitation with Temperature 8
2.3 Relationship between Precipitation with Evaporation 11
2.4 Relationship between Precipitation with Humidity and Temperature 13
2.5 Relationship between Precipitation with Humidity and Evaporation 18
2.6 Wind 18
2.7 Regression Analysis 21
2.7.1 Simple Regression Analysis 21
vii
2.7.2 Multiple Regression Analysis 22
CHAPTER 3 : METHODOLOGY
3.1 Introduction 25
3.2 Study Area 27
3.3 Data Collection Procedure 28
3.4 Data Analysis 30
3.5
Correlation Analysis between the Dependent Variable (Precipitation)
with Independent Variables (Temperature, Humidity and Evaporation) 37
3.5.1 Comparison without considering Monsoon 37
3.5.2 Comparison considering Monsoon 40
3.5.3 Comparison Between Considering Monsoon and Without
Considering Monsoon 40
CHAPTER 4 : RESULT ANALYSIS AND DISCUSSION
4.1 Introduction 41
4.2
Relationship between Precipitation with Temperature, Humidity and
Evaporation without Considering Monsoon 42
4.2.1 Results Correlation between Precipitation with Temperature,
Humidity and Evaporation in Kuching International Airport Station
(KIA) 42
4.2.2 Results Correlation between Precipitation with Temperature,
Humidity and Evaporation in Sibu Airport Station 43
4.2.3 Results Correlation between Precipitation with Temperature,
Humidity and Evaporation in Bintulu Airport Station 44
4.2.3 Results Correlation between Precipitation with Temperature,
Humidity and Evaporation in Miri Airport Station 46
viii
4.2.5 Analysis and Discussion on the relationship between Precipitation
with Temperature, Humidity and Evaporation of Four Observation
Stations 47
4.3
Relationship between Precipitation with Temperature, Humidity and
Evaporation by Considering Monsoon. 49
4.3.1 Relationship between Precipitation with Temperature, Humidity
and Evaporation by Considering Monsoon (South-West) 51
4.3.1.1 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Kuching
International Airport Station under South-West Monsoon 51
4.3.1.2 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Sibu Airport
Station under South-West Monsoon 52
4.3.1.3 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Bintulu Airport
Station under South-West Monsoon 53
4.3.1.4 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Miri Airport
Station under South-West Monsoon 55
4.3.1.5 Analysis and Discussion on the relationship between
Precipitation with Temperature, Humidity and Evaporation
by considering Monsoon (South-West) of four observation
stations 56
4.3.2 Relationship between Precipitation with Temperature, Humidity
and Evaporation by Considering Monsoon (North-East) 59
ix
4.3.2.1 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Kuching
International Airport Station under North-East Monsoon 59
4.3.2.2 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Sibu Airport
Station under North-East Monsoon 60
4.3.2.3 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Bintulu Airport
Station under North-East Monsoon 61
4.3.2.4 Results Correlation between Precipitation with
Temperature, Humidity and Evaporation in Miri Airport
Station under North-East Monsoon 62
4.3.2.5 Analysis and Discussion on the relationship between
Precipitation with Temperature, Humidity and Evaporation
by considering Monsoon (North-East) 64
CHAPTER 5 : CONCLUSION AND RECOMMENDATION
5.1 Conclusion 67
5.2 Recommendation 69
REFERENCES 71
APPENDICES 80
x
List of Figure
Page
Figure 2.1 Relationship surface temperature to latitude 10
Figure 2.2 Relationship between Saturation vapour with temperature 11
Figure 2.3 Relationship between precipitation with evaporation 13
Figure 2.4 Variation in relative humidity with change in temperature 15
Figure 2.5 Climatic variables and their correlation 16
Figure 2.6 Wind Friction 19
Figure 2.7 Wind circulation at different speed 20
Figure 3.1 Flow of research methodology 26
Figure 3.2 Sarawak Airport Station 28
Figure 3.3 Sarawak Airport Map 29
Figure 3.4 Multiple Regression analysis –Option 31
Figure 3.5 Multiple Regression - Analysis activation 31
Figure 3.6 Multiple Regression Analysis (Data arrangement) 32
Figure 3.7 Function Selection in Data Analysis 33
Figure 3.8(a) Multiple Regression Analysis ( Dependent Data Input) 33
xi
Figure 3.8(b) Multiple Regression Analysis ( Independent Data Input) 34
Figure 3.9 Multiple Regression Analysis (Data Analysis) 35
Figure 3.10(a) Multiple Regression Analysis (Output- Multiple R2 and
Constant value )
36
Figure 3.10(b) Multiple Regression Analysis ( Output-Graph ) 36
Figure 4.1 Wind direction in South-West Monsoon (Sources: Urban
Stormwater management manual)
50
Figure 4.2 Wind direction in North-East Monsoon (Sources: Urban
Stormwater management manual)
50
Figure 4.3 Wind Direction during South-West monsoon at four stations 57
Figure 4.4 Wind Direction during North-East monsoon at four stations 65
xii
List of Table
Page
Table 2.1 Saturation mixing ratio 17
Table 3.1 Station inventory 29
Table 3.2 Comparison between dependent variable and independent
variable in individual station.
38
Table 3.3 Summary Comparative Multiple R2 Value for Observation
Stations
39
Table 4.1 Multiple R2 value from regression analysis for Kuching
airport
43
Table 4.2 Multiple R2 value from regression analysis for Sibu Airport 44
Table 4.3 Multiple R2 value from regression analysis for Bintulu Airport 45
Table 4.4 Multiple R2 value from regression analysis for Miri Airport 46
Table 4.5 Comparative Multiple R2 Value for Observation Stations 48
Table 4.6 Multiple R2 value from regression analysis for Kuching
International Airport under South-West Monsoon
52
Table 4.7 Multiple R2 value from regression analysis for Sibu Airport
under South-West Monsoon
53
xiii
Table 4.8 Multiple R2 value from regression analysis for Bintulu Airport
under South-West Monsoon
54
Table 4.9 Multiple R2 value from regression analysis for Miri Airport
under South-West Monsoon
55
Table 4.10 Comparative Multiple R2 Value for Observation Stations
(South-West)
58
Table 4.11 Multiple R2 value from regression analysis for Kuching
International Airport under North-East Monsoon
60
Table 4.12 Multiple R2 value from regression analysis for Sibu Airport
under North-East Monsoon
61
Table 4.13 Multiple R2 value from regression analysis for Bintulu Airport
under North-East Monsoon
62
Table 4.14 Multiple R2 value from regression analysis for Miri Airport
under North-East Monsoon
63
Table 4.15 Comparative Multiple R2 Value for Observation Stations
(North-East)
66
1
CHAPTER 1
INTRODUCTION
1.1 Introduction
Precipitation a one of the parameter in hydrological cycle and this process begins when
heat from the sun evaporates water from Earth's surface. Water will continue to evaporate until
the local atmosphere reaches total saturation. How much moisture the atmosphere can hold is a
function of temperature: warm air can hold more water vapour than cold air. Evaporated water
will often form into a cloud, but not all clouds lead to precipitation. Clouds which form at the
highest altitudes are often too cold for liquid water to form. A cloud will only produce
precipitation within a narrow band of temperatures where liquid water can condense and coalesce
(Kennedy, 1993)
The amount of water vapour depends on the temperature as higher temperature can
increase the rate of evaporation and thus the amount of water vapour in the air. At a given
temperature, there is a maximum amount of water vapour that air can hold and when the
2
maximum capacity is reached the process of condensation begins. Relative humidity is the ratio
of the current humidity of the air to the maximum amount of vapour air can hold at a given
temperature. It is related to the temperature. The rate of evaporation at a given place is always
dependent on the humidity of that place because if the air is already filled with water vapour, it
will not have any place to hold excess vapour and therefore, evaporation will occur at an
extremely slow rate.
1.2 Problem statement
Precipitation is one of the natural phenomena that are very important for human life. It is
important to cool the temperature of an area and also moisten the soil. Most of us are aware that
rainfall resulting from water evaporated from the earth's surface to the atmosphere and then
gathered until it is released again as rain (Ramanathan, 2001). Evaporation from the sea and
humidity in the air above the surface are two important and related aspects of the phenomena of
air sea interaction. However, evaporation is depends both on its temperature and on the
concentration of humidity.
Precipitation, temperature, evaporation and humidity are few components involve in the
hydrological cycle. These four parameters are related to each other, where the production of the
3
precipitation is depending on the evaporation, and during this process, this parameter also depend
on the surrounding temperature. However, it’s doesn’t mean that high temperature will generate
high evaporation process and vice versa, but these process is also depending on the surrounding
humidity. High humidity will decrease the evaporation rate and these factors also effected the
other three parameter and vice versa (Steadman, 1979).
However, excessive precipitation will give impact to natural systems (ecological systems,
hydrology and water resources, coastal systems) and the human society at large (including human
health, settlements, food and fibre production, industry, energy and infrastructure), thus impeding
the achievement of sustainable development (Arnell, 2004). Furthermore, precipitation will
increase the number of people living in water stressed region globally (Bate et al., 2008 and
Arnell, 2004).
Previous studies focus on the relation between single dependent and independent
paramaeter, for example: precipitation with temperature (Buffoni et al., 1999; Jahan Bakhsh et
al., 2010; Zhao and Khalil, 1993; Isaac and Stuart, 1992), temperature with humidity (Bretherton
et al., 2004; Holloway and Neelin, 2009) and humidity with evaporation (Katsaros, 2010; Kansas
Experiment, 1999). However, in this study, the researcher would like to observe whether
temperature, humidity and evaporation alone or combination of temperature, humidity and
evaporation will give effect to the precipitation itself or not.
4
1.3 Objective
The main intention of this study is to identify the correlation between precipitation with
temperature, humidity and evaporation. The objectives of this study are;
1. To identify the highest correlation factor between precipitation with temperature,
evaporation and humidity in general without considering monsoon.
2. To identify the highest correlation factor between precipitation with temperature,
evaporation and humidity by taking into account monsoon aspect.
1.4 Scope of work
In this study, precipitation (P), temperature (T), humidity (H) and evaporation (E) are
selected parameter and will use as dependent and independent variable in the analysis process.
Ten year data (precipitation, temperature, humidity and evaporation) start on year 2004 until
2013 was collected from the Meteorology Department Kuching and Kuching International
Airport (KIA), Sibu Airport, Bintulu Airport and Miri Airport as selected station. Seven
relationship will be analyse in this study : (i) P-THE, (ii) P-TH, (iii) P-TE, (iv) P-HE, (v) P-T,
(vi) P-H, and (vii) P-E. Simple regression analysis and multiple regression analysis will be
5
adopted in this research to determine the correlation factor- multiple R2. Furthermore in this
analysis, precipitation was be the dependent variable while temperature, humidity and
evaporation were be the independent variable. By using the regression analysis method highest
correlated parameter could be identified.
1.5 Chapter outline
Chapter 1 gives a general overview of the study. It mainly explains the hydrological process
where precipitation, temperature, relative humidity and evaporation are among the contributing
process and parameter. Problem statement which leads to the formulation of aim and objectives
of the study is also briefly described in the chapter.
Chapter 2 is the literature review that discussed on relationship between precipitation with
temperature, precipitation with humidity and precipitation with evaporation generally.
Furthermore, the previous study on relationship between temperature and humidity, wind
direction, and regression analysis also included.
Chapter 3 is about the methodology being used in this report. To determine the correlation, the
Regression method will used and from this method it will generate the multiple R2 as a
correlation for every relationship. The simple regression and multiple regression analysis will be
used in this study and the procedure of process to evaluate and determine the multiple R2 will be
6
shown in this section. The highest multiple R2 will determine and the comparison between
multiple relationship and single relationship to the precipitation will evaluate.
Chapter 4 is the result and analysis of the study. In this section, the result based on the
relationship (P-THE, P-TH, P-TE, P-HE, P-T, P-H, P-E) will be analysed by grouping and single
relationship by taking account on monsoon and without monsoon. From the regression analysis,
it will produce the correlation factor- multiple R2. The highest value of multiple R
2 will evaluate
base on group and single relationship. Any possible justification on the finding will justify in this
section.
Chapter 5, the final chapter, discusses the conclusion of the study. Recommendations to be
considered in future study on the topic are also highlighted in the chapter.
7
CHAPTER 2
LITERATURE REVIEW
2.1 Precipitation
Precipitation is the primary mechanism for transporting water from the atmosphere to
the surface of the earth. There are several form of precipitation such as hail, snow, sleet, and
freezing rain (Ramanathan, 2001). Precipitation is the most parameter contributed to the
flood, runoff, and landslide. Moreover, amounts of precipitation can vary by location. For
example, deserts in Nevada have an average less than an inch of total precipitation per year.
According to the data from the Malaysia Meteorological Department, Northern and East
Coast areas have received rainfall more than 60 percent below the average. For Central of
Peninsular were received rainfall amount over average.
Furthermore, in Sabah and Sarawak recorded, almost all areas received rainfall
amount between 20 percent and 60 percent below average, except Kapit division.
Nevertheless, in Sarawak, most areas have experienced dry condition, except Kapit division
which have normal weather conditions. Base on finding from Malaysia Meteorological
Department, Samarahan and Bintulu Divisions received a distribution of rainfall less than 60