Granthaalayah

ASSESSMENT OF WATER SANITATION FACILITIES UTILIZATION AMONG THE RURAL HOUSEHOLDS OF SOUTHWESTERN NIGERIA

 

Adewole W.A.*1Envelope, Ayoade A.R. 2Envelope, Olaniyi O.A 3Envelope, Oladapo E.O 4Envelope

*1 Assistant Lecturer, Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

2 Professor of Rural Sociology, Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

3 Professor of Agricultural Extension communication, Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

4 Doctoral Students, Department of Agricultural Extension and Rural Development, Ladoke Akintola University of Technology, Ogbomoso, Nigeria

 

DOI: https://doi.org/10.29121/granthaalayah.v9.i3.2021.3567

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Article Type: Research Article

 

Article Citation: Adewole W.A., Ayoade A.R., Olaniyi O.A, and Oladapo E.O. (2021). ASSESSMENT OF WATER SANITATION FACILITIES UTILIZATION AMONG THE RURAL HOUSEHOLDS OF SOUTHWESTERN NIGERIA. International Journal of Research -GRANTHAALAYAH, 9(3), 301-308. https://doi.org/10.29121/granthaalayah.v9.i3.2021.3567

 

Received Date: 17 February 2021

 

Accepted Date: 31 March 2021

 

Keywords:

Water

Sanitation

Households

Rural
ABSTRACT

The study examined the water sanitation facilities utilization among the rural households of south west Nigeria. The study specifically described the socio-economic characteristics of the rural household heads; identified various sources of water supply and their providers; examined the rural household heads’ knowledge of water source contamination; examined respondents’ awareness of adequate water treatment methods and the awareness of waterborne disease. The population of the study comprised of all the rural households in Ondo and Oyo States in Southwestern of Nigeria. The sampling procedure employed was multistage sampling technique to select 355 household heads comprising a total of 167 rural household considered out of 278 rural households from the selected cells in Oyo state while a total of 188 rural household heads selected out of 314 rural household heads from the selected cells in Ondo State for the study. The data for the study were analyzed with descriptive statistics such as frequency count, percentage, mean and standard deviation while inferential statistical tool such as logistic regression analysis model

The mean age of the respondents from Ondo State was 47 years while that of respondents from Oyo State was 45 years. Rain water collection was the major source of improved water supply from Ondo State (87.4%) and Oyo State (86.7%). In both Ondo and Oyo States, the knowledge of water source contamination is still on moderate level. Households in Ondo State (WMS = 2.98) and Oyo State (WMS = 2.91) were more aware of boiling of water as the major adequate water treatment methods. In both states, the awareness of adequate water treatment methods is still on moderate level. In both States, the awareness of water-borne diseases is still on moderate level, majority had favourable attitude towards utilization of water sanitation facilities while the level of utilization of water sanitation facilities is still on moderate level. The result of the Regression analysis model indicated that years of schooling (t=-3.758***; p=0.000) and households’ size (t=-2.089**; p=0.037) were significantly related to utilization of water sanitation facilities.

        It was therefore concluded that the utilization of water sanitation facilities was influenced by income level, knowledge of water source contamination, awareness of adequate water treatment methods, awareness of water-borne diseases, household size. The local council being the agency saddled with water provision, should be more empowered in terms of resources and facilities in order to be able to do their work of water provision and water sanitation information dissemination effectively.



 

 

1.     INTRODUCTION

 

Water covers more than two-thirds of the earth’s surface, but mostly salty and undrinkable. The available freshwater resource is only 2.7% of the available water on earth but only 1% of the available freshwater (in lakes, rivers and groundwater) is accessible. Most of the available freshwater resources are inaccessible because they are in the hidden part of the hydrologic cycles (deep aquifers) and in glaciers (frozen in the polar ice), which means safe drinkable water on earth has very small proportion (3%) in the freshwater resources. Freshwater can also be obtained from the seawater by desalinization process. In some countries, sufficient freshwater is not available (physical scarcity). In some countries, abundant freshwater is available, but it is expensive to use (economic scarcity).

      In almost every region of the world, the demand for freshwater has continued to increase while accesses to the required quantity and quality of the resource have been on the decline (UNEP, 2000). The central role of water is evident in any systematic appraisal of life-sustaining requirements. Even at the most fundamental level of human survival and sustainable development, water not only has life sustaining qualities, but strongly influences economic activity (both production and consumption) and social roles. UNWATER (2006), estimates that 50% of the world’s population lacked access to safe sanitation while 20% lacked access to safe drinking water. Accessibility of people to safe drinking water and sanitation is crucial to sustainable development, and has great implications for socio-economic growth and development. Human rights to water, public health and the environment, are also key index and crucial components of sustainable development (Moe and Rheingans 2006). Inaccessibility of people to safe drinking water and sanitation and the disparities can have a great impact on the health and well-being of vulnerable and the disadvantaged groups in the society, most especially, the children who are from poor households and the rural women (UNICEF, 2013). If the health, physical and emotional well-being of the members of the community is not in good shape, sustainable development will be elusive to the world over. Water and sanitation have great and significant impact on poverty-related phenomenon; therefore, sustainable development cannot be possible in an atmosphere of poverty which translates to poor living and unhealthy condition of the people (Sarmento, 2015). 

Over the past decades, there have been various concerted efforts aimed at meeting basic water supply requirements of Nigeria. Despite these initiatives, it is estimated that a considerable percentage of the Nigerian population still lack minimum access to potable drinking water supply, improved sanitation and Hygiene (Water Sanitation Project (WSP), 2011). The government of Nigeria has failed to successfully deliver sustainable and equitable access to safe, adequate, improved and affordable water supply to most the of population over the years. Nigeria has the lowest life expectancy of around 47 years of age for adults in West Africa. This has been attributed to lot of health issues in the country, principally because of lack of access to safe drinking water, improved sanitation and hygiene (AfDB, OECD, UNDP, 2014). One out of every five children born in Nigeria may die before reaching the age of five due to the many health risks (World Population Review, 2014). Also, the country is one of five countries in the world which together accounts for half of under-five deaths, with Nigeria at 13% (World Bank, 2013). Therefore, sustainable water supply would improve health and social wellbeing in the country. The problem of providing WATSAN facilities and services in Nigeria is probably challenged due to a nexus of factors including; natural, political, economic, and social among others.  There is great evidence to suggest that, Nigeria is blessed with many natural water bodies such as rivers, streams, lakes among others that could be harnessed and used for both domestic and industrial purposes. However, the availability and accessibility of improved water for domestic consumption is yet to be achieved especially in the rural areas of Nigeria. This is because the provision of improved water sanitation facilities is generally seen as expensive enterprise for both government and donor agencies alike (Oclo, 2011 and Agyemin, 2011).

                                                  

2.     METHODOLOGY

 

The study was carried out in Oyo and Ondo States in Southwestern geopolitical Zone of Nigeria. The zone has six (6) states which are Oyo, Osun, Ondo, Ekiti, Ogun, and Lagos. The zone is located in the south west geographical zone of Nigeria. The zone lies in equatorial rainforest belt and the rainfall around this area varies from 1500mm to 1800mm per annum. They have distinct wet season from April to late October and dry season from November to March; the areas have a mean annual temperature of 26.2 degree Celsius, the humidity is high between July and December and low between December and February. The main occupation of the people is farming and farms are semi-commercial units, which largely rely on rainfall as main source of water supply. A multistage sampling technique was used in selecting a total of 167 rural household in Oyo state while a total of 188 rural households from the selected cells in Ondo state. This implies that a total of 355 rural household formed the sample size for this study. Primary data were collected from rural household’s heads in South-western Nigeria. The data were collected with the use of well-structured interview schedule. The data for the study were analyzed with descriptive statistics such as frequency count, percentage, mean and standard deviation while inferential statistical tools such as logistic regression analysis model was used to test the hypothesis of the study.

                    

3.     RESULTS AND DISCUSSION

 

3.1. SOCIO-ECONOMIC CHARACTERISTICS OF RESPONDENTS

 

The distribution of respondents by age revealed that 8.7% were less than or equal to 8.7%, 21.7% were between 31 and 40 years, 38% were between 41 and 50%, 20.6% were between 51 and 60 years of age while 11% were above 60 years of age. Majority (69%) were male while 31% were female. 10% were single, majority (82%) were married, 2.8% were divorced, 2.3% separated while another 2.8% were widowed. 60.3% were Christians, 39.7% were Muslims. According to level of education, 21.7% did not have formal education, 36.6% completed Primary School, 31.3% had Secondary education, 2.5% attended College of Education and Polytechnic while 5.4% attended University. 4.2% had 1 and 2 household size, 16.9% had 3 and 4, 54.4% had between 5 and 6 while 24.5% had above 6 household size. A little below half (48.5%) were Farmers, 31.8% were traders, 8.5% were Civil servants, 10.1% were into Artisanship while 1.1% belong into category of unspecified others.

 

Table 1: Socio-economic Characteristics of Respondents

Socio-economic

Frequency

Percentage

Age (years)

< 30

 

31

 

8.7

31-40

77

21.7

41-50

135

38.0

51-60

73

20.6

Above 60

Sex

Male

Female   

Marital Status

Single

Married

Divorced

Separated

Widowed

Religion

Christianity

Islam

Traditional  

School last attended

None

Primary School

Secondary School

College of Education

Polytechnic

University

Household size

1-2

3-4

5-6

Above 6

Primary Occupation

Farming

Trading

Civil service

Artisanship

Others          

39

 

245

110

 

36

291

10

8

10

 

214

141

0

 

77

130

111

9

9

19

 

15

60

193

87

 

172

113

30

36

4

11.0

 

69.0

31.0

 

10.0

82.0

2.8

2.3

2.8

 

60.3

39.7

0.00

 

21.7

36.6

31.3

2.5

2.5

5.4

 

4.2

16.9

54.4

24.5

 

48.5

31.8

8.5

10.1

1.1

Source: Field Survey, 2020

 

3.2. KNOWLEDGE OF WATER SOURCE CONTAMINATION

 

Table 2 shows the distribution of the respondents by their Knowledge of water contamination identified in the rank order include: bathing/washing clothes at water source (WMS=2.75), Indiscriminate use of fetcher (WMS=2.71), Do not have separate bucket or rope at the well/using dirty bucket (WMS=2.66), Poor storage practices (WMS=2.56). The animals can go into the water source. No fence/broken fence around the pond and No cover/lid to protect the well (WMS=2.53), Trash fallen into the water source (WMS=2.30), Dispose trash near the water source (WMS=2.22), Urinate/Defecate at the water source (WMS=2.19), Not properly plugging in the holes of the water pipe (WMS=2.04), Water that does not flow/stagnant water body/pond (WMS=1.99), Collection of acidic rain (WMS=1.95), Then well has no walling (WMS=1.90) and Washing raw meat and raw fish near the water source (WMS=1.87) and Latrine close to the water source (WMS=1.69)

 

Table 2: Distribution of Respondents by Knowledge of Water Source Contamination

Water Source Contamination

Highly

Moderately

Lowly

Not at all

WMS

Rank

Physical

 

 

 

 

 

 

Bathing/washing clothes at water source

279(78.6)

64(18.0)

12(3.4)

0(0.0)

2.75

1st

Urinate/Defecate at the water source

176(49.6)

70(19.7)

108(30.4)

1(0.3)

2.19

9th

Latrine close to the water source

121(34.1)

46(13.0)

145(40.8)

43(12.1)

1.69

15th

Water that does not flow/stagnant water body/pond

147(41.4)

62(17.5)

141(39.7)

5(1.4)

1.99

11th

Dispose trash near the water source

191(53.8)

53(14.9)

110(31.0)

1(0.3)

2.22

8th

Trash fallen into the water source

211(59.4)

45(12.7)

94(26.5)

5(1.4)

2.30

7th

Washing raw meat and raw fish near the water source

129(36.3)

58(16.3)

160(45.1)

8(2.3)

1.87

14th

Indiscriminate use of fetcher

276(77.7)

60(16.9)

13(3.7)

6(1.7)

2.71

2nd

Not properly plugging in the holes of the water pipe

167(47.0)

67(18.9)

88(24.8)

33(9.3)

2.04

10th

Do not have separate bucket or rope at the well/using dirty bucket

267(75.2)

60(16.9)

24(6.8)

4(1.1)

2.66

3rd

Then well has no walling

136(38.3)

60(16.9)

147(41.4)

12(3.4)

1.90

13th

The animals can go into the water source. No fence/broken fence around the pond

251(70.7)

57(16.1)

31(8.7)

16(4.5)

2.53

5th

No cover/lid to protect the well

227(63.9)

40(11.3)

75(21.1)

13(3.7)

2.53

5th

Chemical

 

 

 

 

 

 

Collection of acidic rain

197(55.5)

30(8.5)

43(12.1)

85(23.9)

1.95

12th

Microbiological

 

 

 

 

 

 

Poor storage practices

238(67.0)

85(23.9)

24(6.8)

8(2.8)

2.56

4th

WMS = Weighted Mean Score

Source: Field Survey, 2020

 

3.3. AWARENESS OF ADEQUATE WATER TREATMENT METHODS

 

Base on the result in Table 3. the adequate water treatment methods in the rank order of awareness as identified from the results are Boiling of water (WMS=2.94), Let it stand and settle and Use of Alum (WMS=2.92), Appropriate hand washing behaviours (WMS=2.78), Strain it through a cloth (WMS=2.77), Defecating in toilets/latrines (WMS=2.76), Add bleach/chlorine (WMS=2.70), Burning of garbage to control flies (WMS=2.69) and Solar disinfection (WMS=0.59).

The result of the finding therefore revealed that boiling of water was the most common and the adequate water treatment methods known among rural households in the selected States. Boiling of water before use may be associated with fact that the method is simple, easy to implement and effective outcome without the usage of sophisticated equipment. Moreover, adoption of any of the available water treatment methods could go a long way in preventing many waters borne diseases and death of rural households. In conformity with the present research finding, Cairncross and Valdmanis (2006) established that the spread of water- borne diseases can be contained by improved sanitation and hygiene. In the same vein, some scholars (Curtis and Cairncross, 2003; Fewtrell et al., 2005; Clasen et al., 2007) claimed that information, such as hand washing, sanitation, water treatment and safe drinking water storage have each been proven to reduce diarrhea rates by 30–40%. Similarly, WHO (2014) noted that millions of children have been saved from premature death and illness related to malnutrition and preventable water-borne diseases resulting in a reduction in incidences of diarrhea, better maternal health, care for new-born and that adults in general now live longer and have healthier lives.

 

Table 3: Distribution of respondents by awareness of Adequate Water Treatment Methods in pooled data

Water treatment methods

Very Much Aware

Moderately Aware

Slightly Aware

Not Aware

WMS

Rank

Boiling of water

341(96.1)

9(2.5)

3(0.8)

2(0.6)

2.94

1st

Add bleach/chlorine

275(77.5)

54(15.2)

26(7.3)

0(0.0)

2.70

7th

Use a water filter (ceramic, sand, composite, etc.)

81(22.8)

43(12.1)

174(49.0)

57(16.1)

1.42

10th

Solar disinfection

28(7.9)

36(10.1)

52(14.6)

239(67.3)

0.59

9th

Strain it through a cloth

300(84.5)

39(11.0)

7(2.0)

9(2.5)

2.77

5th

Let it stand and settle

328(92.4)

26(7.3)

1(0.3)

0(0.0)

2.92

2nd

Appropriate hand washing behaviours

296(83.4)

47(13.2)

6(1.7)

6(1.7)

2.78

4th

Burning of garbage to control flies

272(76.6)

60(16.9)

20(5.6)

3(0.8)

2.69

8th

Defecating in toilets/latrines

292(82.3)

47(13.2)

10(2.8)

6(1.7)

2.76

6th

Use of Alum

332(93.5)

18(5.1)

5(1.4)

0(0.0)

2.92

2nd

Mean () = 24.50; S.D = 2.369

WMS = Weighted Mean Score

Source: Field Survey, 2020

 

3.4. AWARENESS OF WATER-BORNE DISEASE

 

Table 4 showed the distribution of respondents by awareness of water-borne diseases. Based on the result in the Table 4.10, the awareness of water-borne diseases in the rank order of awareness as identified from Oyo State include diarrhea (WMS = 2.01), cholera (WMS = 1.99), guinea worm (WMS = 1.95), malaria (WMS = 1.90), typhoid (WMS = 1.79), scabies (WMS = 1.74), schistosomiasis (WMS = 0.46) and onchoceriasis (WMS = 0.35). The finding therefore indicates that rural households in the selected States were confronted with diverse water-borne diseases of which diarrhea was identified as the most prominent of them due to consumption of unhygienically sanctified water (poor water and sanitation). The finding therefore indicates that rural households in the selected States were confronted with diverse water-borne diseases of which diarrhea was identified as the most prominent of them due to consumption of unhygienically sanctified water (poor water and sanitation). In line with the finding of this study, UN (2003) affirmed that many developing countries, as much as 80% of illnesses are linked to poor water and sanitation conditions. Similarly, it is estimated by some agencies (UNEP/UN-HABITAT, 2009) that half of the world's hospital beds are filled with people suffering from a water-related disease. Conversely, WHO/UNICEF (2009) opined that nearly 1 out of every 5 deaths under the age of 5 worldwide is due to a water-related disease. Child mortality according to UNDP (2010) is considered higher amongst households with poor access to clean water and sanitation facilities.

 

Table 4: Distribution of respondents by awareness of Water-Borne Disease

Waterborne Diseases

Very Much Aware

Moderately Aware

Slightly Aware

None

WMS

Rank

Diarrhea

6(1.7)

348(98.0)

1(0.3)

0(0.0)

2.01

1st

Typhoid

1(0.3)

283(79.7)

68(19.2)

3(0.8)

1.79

5th

Scabies

4(1.1)

274(77.2)

58(16.3)

19(5.4)

1.74

6th

Schistosomiasis

0(0.0)

44(12.4)

77(21.7)

234(65.9)

0.46

7th

Guinea worn

14(3.9)

314(88.5)

23(6.5)

4(1.1)

1.95

3rd

Onchoceriasis

0(0.0)

28(7.9)

68(19.2)

259(73.0)

0.35

8th

Cholera

11(3.1)

33(93.2)

13(3.7)

0(0.0)

1.99

2nd

Malaria

6(1.7)

308(86.8)

39(11.0)

2(0.6)

1.90

4th

WMS = Weighted Mean Score

Source: Field Survey, 2020

 

3.5. LEVEL OF UTILIZATION OF WATER SANITATION FACILITIES

 

The utilization of Clean and covered containers was ranked highest among utilized water sanitation facilities with a weighted mean score (WMS) of 2.92. Others in their rank order include use of Soapy water (WMS = 2.91), hand washing (WMS = 2.90), boiling (WMS = 2.86), protected well (WMS = 2.78), improved sewage containers (WMS = 2.73), hand pump (WMS = 2.60), point of use water treatment with additives (WMS = 2.56), borehole (WMS = 2.45), public stand pipes (WMS = 1.03), solar disinfectant (WMS = 0.90), filter technology (WMS = 0.85), hand sanitizers (WMS = 0.75) and Ultraviolet filtration device (WMS = 0.62). The use of clean and covered container was the major method used by the respondents in the southwestern Nigeria. The use of clean and covered containers could help reduce adulteration of water source thereby reducing incidence of water-borne diseases. This finding indicates that utilization of water sanitation facilities will go a long way in reducing incidence of water-borne diseases. In line with the present finding, Centers for Disease Control (2014) claimed that majority of household water treatment and storage, including: filter technologies, point-of-use water treatment with chemicals additives (for example sodium hypochlorite-based water treatment systems), ultraviolet filtration devices, solar disinfection, boiling, and modified or improved water storage containers.

 

Table 5: Distribution of respondents by utilization of Water Sanitation Facilities

Water Sanitation Facilities

Always

Sometimes

Rarely

Never

WMS

Rank

Household Water Treatment Storage

 

 

 

 

 

 

Filter technology

49(13.8)

55(15.5)

45(12.7)

206(58.0)

0.85

12th

Point of use water treatment with additives

246(69.3)

77(21.7)

20(5.6)

12(3.4)

2.57

8th

Ultraviolet filtration device

29(8.2)

47(13.2)

38(10.7)

241(67.9)

0.62

14th

Solar disinfectant

76(21.4)

33(9.3)

25(7.0)

221(62.3)

0.90

11th

Boiling

320(90.1)

24(6.8)

8(2.3)

3(0.8)

2.86

4th

Clean and covered containers

327(92.1)

28(7.9)

0(0.0)

0(0.0)

2.92

1st

Improved sewage containers

276(77.7)

61(17.2)

18(5.1)

0(0.0)

2.73

6th

Hand washing hardware

 

 

 

 

 

 

Hand washing

327(92.1)

24(6.8)

1(0.3)

3(0.8)

2.90

3rd

Soapy water

330(93.0)

21(5.9)

1(0.3)

3(0.8)

2.91

2nd

Hand sanitizers

18(5.1)

41(11.5)

131(36.9)

165(46.5)

0.75

13th

Water supply technologies

 

 

 

 

 

 

Hand pump

277(78.0)

25(7.0)

43(12.1)

10(2.8)

2.60

7th

Borehole

243(68.5)

42(11.8)

56(16.8)

14(3.9)

2.45

9th

Protected well

290(81.7)

55(15.5)

7(2.0)

3(0.8)

2.78

5th

Public stand pipes

39(11.0)

42(11.8)

163(45.9)

111(31.3)

1.03

10th

WMS = Weighted Mean Score

Source: Field Survey, 2020

     

Hypotheses Testing

 

3.6. INFLUENCE OF SELECTED SOCIO-ECONOMIC CHARACTERISTICS OF RESPONDENTS ON THE UTILIZATION OF WATER SANITATION FACILITIES

 

H01: There is no significant relationship between selected socio-economic characteristics and level of utilization of water sanitation facilities.

      The result of the Regression analysis model in the Table 6 indicated that years of schooling (t=-3.758***; p=0.000) and households’ size (t=-2.089**; p=0.037) were significantly related to utilization of water sanitation facilities. Household size indicated inverse and significant relationship with utilization of water sanitation facilities at 5% significant level, implying that the probability of utilization of water sanitation facilities decreases with an increase in household size. The odds ratio in favour of utilization of water sanitation facilities decreases by the factor -0.249 as the household size is increased by one member. An increase means few households’ members contribute to households’ water provision through utilization of water sanitation facilities which could be due to financial incapability. The likely explanation is that in an area where households depend on large water supply, increasing household size (active members) results in increased water consumption which might make them utilize available water supply source without must consideration of safety of water leading to not utilizing water sanitation facilities.

       The coefficient of years of schooling was also inverse indicating that there is inverse relationship between years of schooling and utilization of water sanitation facilities. Years of schooling is significant at 1%. The odds ratio in favour of utilization of water sanitation facilities decreases by the factor -0.124 for a unit increase in the years of schooling. This result could be because education offers more exposure and that could limit their consumption of water or utilization of water facilities like borehole instead of the utilization of multiple water sanitation facilities.

 

Table 6: Summary of regression analysis model showing relationship between socio- economic characteristics of respondents and households’ food security level

SEC

B-value

Standard error

T-value

P-value

Remarks

Constant

31.492

0930

33.879***

0.000

 

Age

-0.007

0.016

-0.443

0.658

NS

Years of schooling

-0.124

0.033

-3.758***

0.00

S

Household size

-0.249

0.119

-2.089**

0.037

S

Mean squares=48.739; F=5.415; R=0.210; R-Square=0.044; Adjusted R-Square=0.036; Std. error of the estimate=3.000

S=Significant, NS=Not Significant

***=Significant at 1% level, **=Significant at 5% level

Source: Data Analysis, 2020

 

4.     CONCLUSION AND RECOMMENDATION

 

It was therefore concluded that the utilization of water sanitation facilities were influenced by income level, knowledge of water source contamination, awareness of adequate water treatment methods, awareness of water-borne diseases, household size. Since the local government council is saddled with the main responsibility of water provision according to the federal government of Nigeria and the main findings of this study, the local council should be more empowered in terms of resources and facilities in order to be able to do their work of water provision and water sanitation information dissemination effectively.

 

 

 

SOURCES OF FUNDING

 

This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors.

 

CONFLICT OF INTEREST

 

The author have declared that no competing interests exist.

 

ACKNOWLEDGMENT

 

None.

 

REFERENCES

 

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    [3]       UNEP, (2000). Global Environmental Outlook 2000, UNEP Earth Scan 1997, UK.

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