International Journal of Environment and Bioenergy
ISSN: 2165-8951 (online)Search Article(s) by:
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Current Issue: Vol. 15 No. 1or Keyword in Title:
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Table of Content for Vol. 15 No. 1, 2020

Production and Characterization of Biogas from Domestic Waste by Anaerobic Digestion
Muhibbu-din E.I, Adebayo G. B, and Odedele O. S
 PP. 1 - 9
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ABSTRACT: Domestic waste can be used to produce biogas due to its high biodegradability and calorific value, which will reduce reliance on fossil fuels. The physicochemical analysis of the domestic waste was determined. The biogas was collected with the aid of compressor into a tube for characterization using a Gas Chromatography with Headspace. The result of the physicochemical analysis of the domestic waste includes; % Moisture (59.2%), % TS (40.8%), % VS (77.3%) and % C (42.9%). The characterization of biogas reveal that it contains CH4 (63%), CO2 (31%), H2S (1%) with a calorific value of 24.10 MJ/ m3.

An Assessment of Insecurity Impact on Settlements and Agricultural Landuse in Gwoza LGA, North-East, Nigeria
Deborah B. Alaigba, Ayila E. Adzandeh, Dunya P. Chiwar and Nwachukwu S.Ejiofor
 PP. 10 - 23
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ABSTRACT: Gwoza Local Government Area (LGA) is one of the areas in North-Eastern Nigeria experiencing the debilitating insecurity challenges associated with the Boko Haram insurgence these last few years. The insecurity problem has affected local and regional food security through disruption of agricultural production, food trade, reduced investments, deterioration of land and infrastructure and displacement of large numbers of local dwellers as well as created a state of fear. This paper examines the impact of insecurity on settlements and agricultural land-use for a period of fifteen years using geospatial and participatory approach. Primary data was derived from the administration of well-structured questionnaire to Internal Displaced Persons (IDP’s) in three IDP Camps, while secondary data combined Remote Sensing (RS) and Geographic Information System (GIS) to ascertain the rate of settlement and agricultural land-use change from 2002 to 2017 in Gwoza. Landsat ETM+ (2002) and Landsat OLI (2014 and 2017) images were acquired and resampled to 15m using the panchromatic band so as to identify agricultural lands more distinctly. Maximum likelihood classification algorithm in IDRISI was used to classify the image into six classes: agricultural land, built-up, rock outcrop, natural vegetation, bare ground and water body, based on Anderson classification scheme. Results reveal general decline in agricultural land and settlement areas with increasing vegetal cover. Change detection analysis showed that, vegetated area increased by more than 30% and agricultural land reduced by 33%. Perception from administered questionnaire show that communities most affected by the crises are; Ngwoshe (38%), Gwoza (12.8%) and Gava (12.8%), with the individual loss from the conflict estimated to be between five hundred thousand to over a million naira by 63.4% of respondents. This paper reveal that Gwoza area is still dealing with loss as a result of insecurity.