Computation of Water-Stress Ratio in Western Nigeria by P
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Global Journal of Science Frontier Research Agriculture and Veterinary Sciences Volume 12 Issue 7 Version 1.0 Year 2012 Type : Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 2249-4626 & Print ISSN: 0975-5896 Computation of Water-Stress Ratio in Western Nigeria By P. O Idogho & Olotu Yahaya Auchi Polytechnic, Auchi Abstract - An increasing world population exerts a continually growing demand on usable freshwater resources. Access to water plays a key role in development; it supports human life in direct consumption, agricultural uses and industrial activities. Time and drudgery involved to access safe drinking water resulted to loss of human resources and capital, thus affecting nearly every household life. This paper focuses on the determination of water-stressed ratio using Integrated Water Measurement Tool (IWMT). Structured simple time analysis and Adjusted composite index approaches were employed to compute (IWMT) values in all the sampled areas. Variables such as access to safe water coverage, water availability and use of water were considered. IWMT values from the two approaches show that Ese-Odo is the most water-scarce region with least IWMT values of 14.1 (Adjusted composite index: ACI) and highest value of 2.6 minsl-1 (Structured simple time analysis: SSA), while Owo, Ondo-West and Ose local government areas experience fair distribution of protected water supply with IWMT values of 1.05 minsl-1, 20.8; 1.00 minsl-1, 17.2; and 0.55 minsl-1, 16.9 respectively. Keywords : IWMT, index, water stress, safe water, access, water-scarce, uses, household, ACI, SSA, ratio. GJSFR-D Classification : FOR Code : 050101, 060204, 090409, 880206 Computation of Water-Stress Ratio in Western Nigeria Strictly as per the compliance and regulations of : © 2012. P. O Idogho & Olotu Yahaya. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. Computation of Water-Stress Ratio in Western Nigeria α σ P. O Idogho & Olotu Yahaya Abstract - An increasing world population exerts a continually wider water-related context (Sullivan 2000, 2002). The growing demand on usable freshwater resources. Access to index has been designed to identify and evaluate water plays a key role in development; it supports human life poverty in relation to water resource availability (Steven in direct consumption, agricultural uses and industrial et al., 2002). Water shortages may relate to the activities. Time and drudgery involved to access safe drinking 2012 inadequate ability of society to access the small water resulted to loss of human resources and capital, thus affecting nearly every household life. This paper focuses on volumes of water needed for drinking and domestic Year purposes. In most cases in developing world where they the determination of water-stressed ratio using Integrated 7 Water Measurement Tool (IWMT). Structured simple time are water-stressed, women and children particularly girls analysis and Adjusted composite index approaches were spend most of their productive time trekking long employed to compute (IWMT) values in all the sampled areas. distances sourcing for water. Public health systems are Variables such as access to safe water coverage, water over-burdened by diarrhoeal diseases- the UN says that availability and use of water were considered. IWMT values at any time; half the hospital beds in the developing V from the two approaches show that Ese-Odo is the most world are occupied by patients suffering from diarrhoea water-scarce region with least IWMT values of 14.1 (Adjusted and other water related ailments. (UNDP, 2004). VII composite index: ACI) and highest value of 2.6 minsl-1 (Structured simple time analysis: SSA), while Owo, Ondo-West In analysing the reasons for water problems, it sue ersion I and Ose local government areas experience fair distribution of is important to recognise that water scarcity can be Is protected water supply with IWMT values of 1.05 minsl-1, 20.8; considered in two ways. First order scarcity is the 1.00 minsl-1, 17.2; and 0.55 minsl-1, 16.9 respectively. The shortage of water itself, while second order scarcity is XII results obtained indicate that constructive investments in water that resulting from lack of social adaptive capacity. The and sanitation would reduce proportion of household income poor lack social adaptive capacity and this suggests spent in sourcing for safe drinking water, prevention of water- that this aspect of development in the water sector is related diseases and in turn improves productivity. However, most pertinent to poverty alleviation (Sullivan et al., this paper concludes that top-down technical approach in D () 2001). resolving water resources must be balanced with a bottom-up Having technically evaluated water constraint mechanism in other to prevent persistent water scarcity, shortage and to draw realistic adaption measures. globally, mostly in developing nations, this research Keywords : IWMT, index, water stress, safe water, study is designed and developed to test, validate and Research Volume access, water-scarce, uses, household, ACI, SSA, ratio. calibrate existing water-stressed model by applying Integrated Water Measurement Tool (IWMT). Adjusted Composite Index (ACI) and Structured Simple Time I. Introduction Analysis (SSA) are integrated components of IWMT Frontier uring the last few years, water has become an model. These components are very flexible and allow increasingly important issue in industrialized and incorporation of many water variables. IWMT model will D developing nations. In order to attain the be established to run all the data obtained in all Millennium Development Goals of halving the population eighteen local government areas in Ondo-State, Nigeria. of people without access to safe water by 2015, integrated water management approaches are required II. Materials and Methods (IWMT). In monitoring the achievement of portable water a) Study Area Journal of Science at the local level, appropriate indicators are However Ondo State is made up of 18 Local Government this situation is very complex to explain in a simple Areas is located in the Southwestern Zone of Nigeria. language, therefore an index has been found to be a Global The state lies between longitudes 4”30” and 6” East of feasible way to express such complex condition (Steven the Greenwich Meridian, 5” 45” and 8” 15” North of the et al., 2002). T he Water Poverty Index (WPI) was Equator. This means that the state lies entirely in the identified as the possible indicator for monitoring tropics. Ondo State is bounded in the North by progress at the local level as it puts access to water in a Ekiti/Kogi States; in the East by Edo State; in the West by Oyo and Ogun States, and in the South by the Author α: The Rector, Auchi Polytechnic, Auchi. Atlantic Ocean. Land Area: 14,788.723 Square E-mail : [email protected] 2 Author σ: Department of Agricultural Engineering, Auchi Polytechnic, Kilometres (km ). Population: 3,441,024 comprising Auchi, Nigeria. E-mail : [email protected] 1,761,263 Males and 1,679,761 Females. © 2012 Global Journals Inc. (US) Computation of Water-Stress Ratio in Western Nigeria 2012 r ea Y 8 V VII ue ersion I s Figure 1. Map of Ondo State showing investigation locations. XII Is I. The Composite Index Approach is further adjusted as follows: In this approach, the index was constructed 1 IWMT 53.0[ +++= + (9. 100 − TWDOSWCAW )] from a series of variables which captured the essence of 3 a s t what is being measured using national scale (Rodiya, (4) D 2007). A simple relationship was constructed for Where C and D are the adjusted water variables () computing WPI taking into consideration all the key for the developing nations.These range between (0-1.0) variables as follows: depending on the water situation of such community. SWPI a += s + t (100 − TWSWAW ) (1) Research Volume c) Simple Time Analysis Approach Where A is the adjusted water availability (%). WPI is constructed using bottom-up approach The value of A should recognize the seasonal variability considering variables such as total time taken in of water availability), S is the population with access to collecting water including queuing time, volume of water Frontier safe water and sanitation (%) and T is the index to collected in each trip. For the household with pipe borne represent time and effort taken to collect water for the water, the volume and time taken to collect water per household and WPI is the water poverty index. For the head is assumed to be the same across the members Science purpose of this study, (T) was modified to take account of the household. Using time-analysis approach, the of of gender and child labour issues as follows: (100-T). index is determined as follows: Since A, S, T are all defined to be between 1 and 100; T − = 1 (5) Ws, Wt is 0.25 by weight and Wa is given 0.5. Therefore, SWPI (min sl ) Journal V Where T is the total time (in minutes) spent per Wa Ws Wt =++ 1.0 (2) person in a day to collect water, while V is the volume of The relationship in equation (1) is finally Global water collected in litres. In addition, the expression in modified as follows: equation (5) does not take in consideration of the time 1 SWPI [ += + (100 −TWSWAW )] (3) spent to travel to and fro for an individual to a ts source/gather water. The time considered is the total 3 where W , W and W are the weight given to A, S and T time spent for queuing processes.