The study analyze the physical, chemical and Biological properties of sludge (Domestic waste water) in Umuda-Isingwu, Umuahia-Ibeku and Ihie-ndume in Umuahia north local government area of Abia state. Simple random sampling technique was adopted for the study. Data obtained from laboratory analysis of the water samples was analyzed using descriptive and inferential statistical techniques notably mean, F-LSD and F -test. The mean values of the physical and chemical parameters were compared with SON’s and WHO’s permissible limits. In the chemical properties COD had a mean range of 69.03 ± 0.06 to 80.03 ± 0.06 with all the means showing significant difference among each other (P ? 0.05). The highest TSS was observed in Ibeku at 921.03 ± 0.06. Nickel had a range of 7.42 ± 0.01 to 8.71 ± 0.01 Mg/l with all the means showing significant difference (P ? 0.05). PO4 had its highest concentration in Ihie Ndume community with a mean of 54.03 ± 0.06 Mg/l. None of the means of pH was seen to be above the WHO permissible limit of 8.5, as the mean range of pH was between 6.11 ± 0.01 to 7.76 ± 0.01. The E. coli load was high at Umuda Isingwu, followed by Ibeku and then Ihie Ndume. P. aeruginos and S. aereus was not observed in Ihie Ndume. The presence of fecal coliform bacteria is an indicator that a potential health hazard exists for individuals exposed to the source of water. Nickel was found to be slightly elevated at most of the sites above WHO. Trace metals have been implicated to be responsible for certain health disorders. The PO43- levels varied along the sampling community sites with some sites values having relatively higher values. In general the quality of these waste water cannot be guaranteed as most of the indicators were higher than the WHO and SON standards. This paper assumes that waste water evaluated pose huge treat to the immediate environment and should be investigated further in addition to epidemiological evaluation of the community to rule out occurrence of water-borne diseases.
{"title":"Analysis of Effects of Physical, Chemical and Biological Properties in Domestic Waste Water (Slugde) on Environmental Health in Abia State, Nigeria","authors":"Egbe C.A, A. A. Dada","doi":"10.31098/IJRSE.V1I1.57","DOIUrl":"https://doi.org/10.31098/IJRSE.V1I1.57","url":null,"abstract":"The study analyze the physical, chemical and Biological properties of sludge (Domestic waste water) in Umuda-Isingwu, Umuahia-Ibeku and Ihie-ndume in Umuahia north local government area of Abia state. Simple random sampling technique was adopted for the study. Data obtained from laboratory analysis of the water samples was analyzed using descriptive and inferential statistical techniques notably mean, F-LSD and F -test. The mean values of the physical and chemical parameters were compared with SON’s and WHO’s permissible limits. In the chemical properties COD had a mean range of 69.03 ± 0.06 to 80.03 ± 0.06 with all the means showing significant difference among each other (P ? 0.05). The highest TSS was observed in Ibeku at 921.03 ± 0.06. Nickel had a range of 7.42 ± 0.01 to 8.71 ± 0.01 Mg/l with all the means showing significant difference (P ? 0.05). PO4 had its highest concentration in Ihie Ndume community with a mean of 54.03 ± 0.06 Mg/l. None of the means of pH was seen to be above the WHO permissible limit of 8.5, as the mean range of pH was between 6.11 ± 0.01 to 7.76 ± 0.01. The E. coli load was high at Umuda Isingwu, followed by Ibeku and then Ihie Ndume. P. aeruginos and S. aereus was not observed in Ihie Ndume. The presence of fecal coliform bacteria is an indicator that a potential health hazard exists for individuals exposed to the source of water. Nickel was found to be slightly elevated at most of the sites above WHO. Trace metals have been implicated to be responsible for certain health disorders. The PO43- levels varied along the sampling community sites with some sites values having relatively higher values. In general the quality of these waste water cannot be guaranteed as most of the indicators were higher than the WHO and SON standards. This paper assumes that waste water evaluated pose huge treat to the immediate environment and should be investigated further in addition to epidemiological evaluation of the community to rule out occurrence of water-borne diseases.","PeriodicalId":52746,"journal":{"name":"International Journal on Research in STEM Education","volume":"14 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74258677","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This study examined the integration of Remote Sensing and Geographic Information System (RS/GIS) for analyzing land use and land cover dynamics in Gombe Metropolitan, the Gombe State capital for the period 1976 to 2016. Land sat (TM) images of 1976, 1996and 2016 were used. The study employed supervised digital image classification method using Erdas Imagine 9.2 and Arc GIS 10.5 software and classified the land use into undisturbed vegetation, sparse vegetation, Settlements, Farmlands, Rock outcrops, Bare surfaces. The images were analyzed via georeferencing, image enhancement, image resampling and classification. The results obtained show an increasing settlements (from 0.36% - 4.01%) and farmlands (from 24.8% - 51.2%), over a decreasing of other LULC classes (bare surfaces, undisturbed and sparse vegetation, and rocky outcrops) for the time period of 1976 to 2016. These results could help city planners and policy makers to attain and sustain future urban development. It is therefore recommended that encouragement should be given to people to build towards the outskirts, like New mile 3 and Tumfure, etc through the provision of incentives and forces of attraction that is available at the city center in these areas to avoid the problem of overcrowdings.
{"title":"Effect of Urbanization on Land use Land Cover in Gombe Metropolis","authors":"L. Mbaya, G. Abu, Y. C. Makadi, D. Umar","doi":"10.31098/IJRSE.V1I1.58","DOIUrl":"https://doi.org/10.31098/IJRSE.V1I1.58","url":null,"abstract":"This study examined the integration of Remote Sensing and Geographic Information System (RS/GIS) for analyzing land use and land cover dynamics in Gombe Metropolitan, the Gombe State capital for the period 1976 to 2016. Land sat (TM) images of 1976, 1996and 2016 were used. The study employed supervised digital image classification method using Erdas Imagine 9.2 and Arc GIS 10.5 software and classified the land use into undisturbed vegetation, sparse vegetation, Settlements, Farmlands, Rock outcrops, Bare surfaces. The images were analyzed via georeferencing, image enhancement, image resampling and classification. The results obtained show an increasing settlements (from 0.36% - 4.01%) and farmlands (from 24.8% - 51.2%), over a decreasing of other LULC classes (bare surfaces, undisturbed and sparse vegetation, and rocky outcrops) for the time period of 1976 to 2016. These results could help city planners and policy makers to attain and sustain future urban development. It is therefore recommended that encouragement should be given to people to build towards the outskirts, like New mile 3 and Tumfure, etc through the provision of incentives and forces of attraction that is available at the city center in these areas to avoid the problem of overcrowdings.","PeriodicalId":52746,"journal":{"name":"International Journal on Research in STEM Education","volume":"660 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77030625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abdullahi Abubakar Ismaila, A. K. Tukur, Isiaka Amoson Gambari
This study “ease and level of use of smartphone for learning amongst pre-service teachers colleges of education in North-West, Nigeria” was guided by two objectives, two research questions. The researchers used descriptive survey research design in the study. The researchers used mixed method (quantitative and qualitative) for data collection. The population of the study was 113,030. Random sampling technique was employed to select the sample. The total population of the sample is 32,300. The entire sample that was chosen is 371 for quantitative which is in line with Raosoft sample size and 6 for qualitative. The instruments used for data collection were adopted questionnaire prediction of user acceptance and adoption of smartphone for learning with technology acceptance model questionnaire (PUAASLTAMQ) by Sek, et al, (2010) and data-blank. The frequency and percentage were employed to analyze the respondents’ demographic information. To answer research question one (1), descriptive statistics (frequencies and percentages) were used. To answer research question two t-test was used. The summary of the major findings indicated that smartphone is very easy to use for learning by the pre-service teachers in Colleges of Education in North-West, Nigeria and male pre-service teachers in Colleges of Education in North-West, Nigeria use smartphone for learning more than their female counterpart. The research shows that smartphone may be accepted as instructional tool in future, because the mode of smartphone operation is not difficult.
{"title":"Ease and Level of use of Smartphone for Learning Amongst Pre-Service Teachers Colleges of Education in North-West, Nigeria","authors":"Abdullahi Abubakar Ismaila, A. K. Tukur, Isiaka Amoson Gambari","doi":"10.31098/IJRSE.V1I1.60","DOIUrl":"https://doi.org/10.31098/IJRSE.V1I1.60","url":null,"abstract":"This study “ease and level of use of smartphone for learning amongst pre-service teachers colleges of education in North-West, Nigeria” was guided by two objectives, two research questions. The researchers used descriptive survey research design in the study. The researchers used mixed method (quantitative and qualitative) for data collection. The population of the study was 113,030. Random sampling technique was employed to select the sample. The total population of the sample is 32,300. The entire sample that was chosen is 371 for quantitative which is in line with Raosoft sample size and 6 for qualitative. The instruments used for data collection were adopted questionnaire prediction of user acceptance and adoption of smartphone for learning with technology acceptance model questionnaire (PUAASLTAMQ) by Sek, et al, (2010) and data-blank. The frequency and percentage were employed to analyze the respondents’ demographic information. To answer research question one (1), descriptive statistics (frequencies and percentages) were used. To answer research question two t-test was used. The summary of the major findings indicated that smartphone is very easy to use for learning by the pre-service teachers in Colleges of Education in North-West, Nigeria and male pre-service teachers in Colleges of Education in North-West, Nigeria use smartphone for learning more than their female counterpart. The research shows that smartphone may be accepted as instructional tool in future, because the mode of smartphone operation is not difficult. ","PeriodicalId":52746,"journal":{"name":"International Journal on Research in STEM Education","volume":"os-9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87640878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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