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Modeling of rainfall intensity in port harcourt metropolis using dimensional analysis and statistical method

 

Table Of Contents


Thesis Abstract

Abstract
This research project focuses on the modeling of rainfall intensity in the Port Harcourt metropolis using dimensional analysis and statistical methods. Rainfall intensity is a critical parameter in hydrological studies and urban planning, particularly in cities like Port Harcourt that are prone to intense rainfall events. The study aims to develop a reliable and accurate model that can predict rainfall intensity in the area, taking into consideration various meteorological and geographical factors. Dimensional analysis is a powerful tool that helps in identifying the key variables that influence rainfall intensity. By analyzing the dimensions of different physical parameters such as rainfall rate, wind speed, temperature, and humidity, the researchers will be able to establish the relationships between these variables and rainfall intensity. This will aid in the development of a robust mathematical model that can predict rainfall intensity based on the input of these key parameters. In addition to dimensional analysis, statistical methods will be employed to analyze historical rainfall data collected from various weather stations in the Port Harcourt metropolis. By applying statistical techniques such as regression analysis and time series analysis, the researchers will be able to identify patterns and trends in the rainfall data. This will provide valuable insights into the behavior of rainfall intensity in the area and help in developing a statistical model for predicting future rainfall events. The combination of dimensional analysis and statistical methods will enable the researchers to build a comprehensive model for rainfall intensity in the Port Harcourt metropolis. This model will not only help in understanding the factors influencing rainfall intensity but also assist in urban planning and infrastructure development to mitigate the impact of heavy rainfall events in the city. By accurately predicting rainfall intensity, authorities can take proactive measures to prevent flooding, landslides, and other hazards associated with intense rainfall. Overall, this research project is significant as it addresses a crucial aspect of meteorological and hydrological studies in urban areas. The modeling of rainfall intensity in the Port Harcourt metropolis using dimensional analysis and statistical methods will contribute to the body of knowledge in this field and provide valuable insights for policymakers and urban planners to make informed decisions regarding infrastructure development and disaster risk management.

Thesis Overview

INTRODUCTION
1.1         BACKGROUND OF STUDY

Port Harcourt is the capital and biggest City of Rivers State, Nigeria. Its lies down the Bonny River, and is situated at latitude 40 461 3811 N and longitude of 70001 4811 E. Port Harcourt climate is surrounded by the sub-equatorial climate belt. Temperature and humidity are high all through the year, the area is patent by two separate seasons, the wet and the dry seasons with 70% of the annual rains diminishing between April and August while 22% is spread in the three months of September to November and the driest months are from December to March.A lot of attention has been aimed attowards modeling of rainfall intensity in various parts of Nigeria. Sadly, information of the quantity of monthly or yearly rainfall does not in any way present information on the frequency of monthly or yearly rainfall.

Dimensional analysis constitutes the starting point for the design and operation of physical scale models which are used to predict the behavior of their full-sized equivalent called prototypes. Such models, which are generally geometrically similar to the prototype, are used in the design of pumps, spillways, river and estuary engineering works, etc. Mathematical modeling techniques have advanced speedily due to the arrival of high-speed digital computers, enabling equations of motion brace with semi-empirical relationships to be solved for complicated situations. (Featherstone and Nalluri, 1998). Without the technique of dimensional analysis, experimental and computational progress in fluid mechanics would have been considerably delayed. The starting point of dimensional analysis is to decrease the number of separate variables involved in a particular type of physical system into a smaller number of nondimensional groups of the variables. The arrangement of the variables in the groups is generally chosen so that each group has a physical importance. All physical parameters can be precise in terms of a number of basic dimensions. In engineering, the basic dimensions, mass (M), length (L) and time (T) are adequate for this purpose (Featherstone and Nalluri, 1998).

Rainfall intensity is a function that can as well be expressed in terms of basic dimensions. Its unit of mm/hr can be used to determine that its formula is also expressed to be dimensionally compatible to the basic units of length and time. That is the objective of this work. Different characteristics of rainfall are important to specialists in various fields and therefore the number of ways of analyzing rainfall data is quite limitless. The method chosen rely upon the nature of the available data and the intention of the study. At most stations, only daily totals of rainfall are measured. These totals may refer to various storms during a day or to a part of one storm that bridges two measuring periods. In this case the records are a somewhat artificial and inaccurate description of precipitation. The only characteristics of rainfall that can be procure from such data are those pertaining to specified period of time, such as days, months, seasons, or years. A relatively small amount of rainfall-measuring stations are equipped with continuous recording gauges, which yield data on the characteristics of individual storms such as duration and intensity as well as total amount (Thomas and Luna, 1978). Another process in choosing appropriate methods of analysis is the particular planning problem for which a description of the rainfall regime is required. Ecologists and Agronomists may be interested explicitly in seasonal totals, the frequency of small amounts of rain or the likelihood of droughts for their studies of crops or natural plant populations.

Civil engineers focus on the intensity, duration and areal range of the large, infrequent storms that dispute the design of their structures (Thomas and Luna, 1978). The major difficulty faced by engineers and hydrologists in planning and design of water resources structures in the developing nations such as Nigeria is the unavailability of the required long term rainfall data. While rainfall records of many years and subsequently, rainfall frequency atlas are commonly available in developing countries such as United States of America. The engineering application of rainfall intensity is mainly in the process of design discharge for flood control structures. With the recent devastations caused by flood, this study becomes very vital because most drainage structures have been built without the actual rainfall intensity values.

Rainfall intensity is a climate parameter that affects the way and manner man lives. It affects every facet of the ecological system; hence the study of rainfall intensity is important and cannot be over emphasized. Aside the beneficial aspect of rainfall, it can also be destructive in nature; natural disaster like floods and landslides are caused by rain. This project considers modeling rainfall intensity, using the dimensional analysis techniques.

1.2         STATEMENT OF PROBLEM

The insufficient representation of the hydrological data has being a major problem today, because it can lead to over flooding and environmental pollution in rainfall catchments areas, drainages basins or watershed. The flow of liquid water transport hazardous waste materials across the globe, it also involve the reshaping of the geological features of the earth through processes including erosion and sedimentation. For instance, when water flows it evaporates and takes up energy from its surroundings and cools the environment, when it condenses, it releases energy and warms the environment, these heat exchange influences the climate; with such a problem, a model plays an important role in controlling such cases using mathematical analysis.

1.3         OBJECTIVES OF STUDY

The objectives of this study are:

  1. To model rainfall intensity and make predictions using statistical analysis.
  2. To determine the predictions of rainfall intensity data using dimensional       analysis.

iii.           To verify and validate the model to check for accuracy.

1.4         SIGNIFICANCE OF STUDY

The determinationof rainfall intensity models is very vital, particularly for areas that always experience flooding, because with the model, flooding can be controlled and also predictions of catchments response to change, such as land use change, climate change and water quality can be investigated i.e., it plays a great role in water resource management, as it helps in determining the water quality. Also, the study plays a vital role in the meteorological sector as it helps in weather forecasting and rainfall data collection. Hence, with this researchworkgovernment will have a good insight on how to control flooding and also have a visible model for forecasting.

1.5         JUSTIFICATION OF STUDY

Over flooding and erosion control has been a major problem in our environment, especially areas that has no good drainage system, also human health has been affected due to environmental pollution as a result of poor flooding control and forecasting. Hence, in such a case there is need to develop models for effective control and forecasting.

1.6         LIMITATION OF STUDY

The limitations encountered in this research work were: limited meteorological data for developing the model.



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