Live Covid-19
United States 104,488,837
Cases: 104,488,837
Deaths: 1,136,313
Recovered: 101,575,749
Active: 1,776,775
India 44,683,454
Cases: 44,683,454
Deaths: 530,745
Recovered: 44,150,892
Active: 1,817
France 39,533,323
Cases: 39,533,323
Deaths: 164,286
Recovered: 39,288,720
Active: 80,317
Germany 37,822,577
Cases: 37,822,577
Deaths: 166,128
Recovered: 37,451,400
Active: 205,049
Brazil 36,868,946
Cases: 36,868,946
Deaths: 697,361
Recovered: 35,953,131
Active: 218,454
Japan 32,760,317
Cases: 32,760,317
Deaths: 69,601
Recovered: 21,608,715
Active: 11,082,001
South Korea 30,263,261
Cases: 30,263,261
Deaths: 33,614
Recovered: 29,894,362
Active: 335,285
Italy 25,488,166
Cases: 25,488,166
Deaths: 187,272
Recovered: 25,072,909
Active: 227,985
United Kingdom 24,293,752
Cases: 24,293,752
Deaths: 204,898
Recovered: 24,036,949
Active: 51,905
Russia 22,004,828
Cases: 22,004,828
Deaths: 395,319
Recovered: 21,384,884
Active: 224,625
Turkey 17,042,722
Cases: 17,042,722
Deaths: 101,492
Recovered:
Active: 16,941,230
Spain 13,740,531
Cases: 13,740,531
Deaths: 118,712
Recovered: 13,569,497
Active: 52,322
Vietnam 11,526,577
Cases: 11,526,577
Deaths: 43,186
Recovered: 10,614,591
Active: 868,800
Australia 11,312,904
Cases: 11,312,904
Deaths: 18,828
Recovered: 11,260,631
Active: 33,445
Argentina 10,037,135
Cases: 10,037,135
Deaths: 130,421
Recovered: 9,890,900
Active: 15,814
Taiwan 9,685,484
Cases: 9,685,484
Deaths: 16,750
Recovered: 9,228,369
Active: 440,365
Netherlands 8,583,669
Cases: 8,583,669
Deaths: 22,989
Recovered: 8,551,642
Active: 9,038
Iran 7,564,881
Cases: 7,564,881
Deaths: 144,764
Recovered: 7,337,869
Active: 82,248
Mexico 7,389,670
Cases: 7,389,670
Deaths: 332,475
Recovered: 6,626,983
Active: 430,212
Indonesia 6,731,304
Cases: 6,731,304
Deaths: 160,838
Recovered: 6,566,404
Active: 4,062
Poland 6,383,225
Cases: 6,383,225
Deaths: 118,748
Recovered: 5,335,940
Active: 928,537
Colombia 6,357,200
Cases: 6,357,200
Deaths: 142,544
Recovered: 6,181,431
Active: 33,225
Austria 5,803,370
Cases: 5,803,370
Deaths: 21,755
Recovered: 5,744,784
Active: 36,831
Greece 5,723,715
Cases: 5,723,715
Deaths: 35,822
Recovered: 5,672,479
Active: 15,414
Portugal 5,564,254
Cases: 5,564,254
Deaths: 26,033
Recovered: 5,534,306
Active: 3,915
Ukraine 5,373,104
Cases: 5,373,104
Deaths: 111,063
Recovered: 5,255,195
Active: 6,846
Chile 5,128,130
Cases: 5,128,130
Deaths: 63,895
Recovered: 5,059,720
Active: 4,515
Malaysia 5,037,995
Cases: 5,037,995
Deaths: 36,943
Recovered: 4,990,977
Active: 10,075
Israel 4,788,158
Cases: 4,788,158
Deaths: 12,203
Recovered: 4,770,957
Active: 4,998
North Korea 4,772,813
Cases: 4,772,813
Deaths: 74
Recovered: 4,772,739
Active: 0

Physicochemical and Bacteriological Evaluation of Ogbete Market Enugu Abattoir Effluents and the Receiving Water Bodies

Physicochemical and Bacteriological Evaluation of Ogbete Market Enugu Abattoir Effluents and the Receiving Water Bodies

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  • August 23, 2022
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The prevalence of water borne diseases is on the increase in Nigeria especially in Enugu state due to the apparent lack of portable water resulting to high mortality rate among the populace and the government`s apathetic response to these realities is even much more demoralizing. Bacteriological properties of Ogbete market abattoir wastewater and water bodies receiving the effluents were investigated using the multiple-tube most probable number (MPN) fermentation method. The results of physicochemical analysis showed high levels of BOD and nitrate-nitrogen concentrations which is an indication of high organic load in the effluents. The major bacterial isolates based on cultural and molecular analyses were Streptococcus fecaelis, Escherichia coli and Geobacillus stearothermophillus. The total Bacterial coliform count (TC) in abattoir effluents ranged from 4.8 × 106 upstream to 5.8 × 105/100 mL downstream, 8.2 × 104 to 3.2 × 104/100 mL of Fecal coliform (FC), 5.2 × 104 to 2.0 × 104/100 mL of Fecal streptococcus (FS) and 1.2 × 104 to 2.0 × 103/100 mL of Escherichia coli for abattoir effluents. The receiving water bodies had 6.2× 103 to 1.4 × 103/100 mL of TC, 2.6 × 103 to 2.2 × 102/100 mL of FC, 1.2 × 103 to 1.2 × 102/100 mL of F. streptococcus, and 4.8 × 103 to 6.6 × 102/100 mL of E. coli downstream. The total bacterial count (TC) for abattoir effluents exceeded the recommended limit for discharge into water bodies in Nigeria. The results of the studies showed that there was no significant difference (p < 0. 0 5) between bacterial counts of abattoir effluents upstream and the receiving water bodies downstream, an indication of heavy pollution of receiving water bodies by abattoir effluents and possible public and environmental health hazard implications.

Keywords: Abattoir Effluents, Receiving Water Bodies, Total Bacterial Count, Bacteriological Evaluation

Authorship: Aniaku, V. O. and Ewoh, A. N. |FULL PDF

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