African Journal of
Environmental Science and Technology

  • Abbreviation: Afr. J. Environ. Sci. Technol.
  • Language: English
  • ISSN: 1996-0786
  • DOI: 10.5897/AJEST
  • Start Year: 2007
  • Published Articles: 1123

Table of Content: April 2019; 13(4)

April 2019

Bushfires spread modelling over Malea in Northeastern Guinea

Bush fires are increasingly becoming a threat to Guinean ecosystems and their understanding is a big challenge to scientists and environmental managers. Using the FARSITE model (Fire Area Simulator), this paper presents the prediction of the spread and characteristics of bush fires in the savannahs of North-eastern Guinea, specifically in Malea/Siguiri prefecture. Inputs, vegetation and topography dataset from satellite...

Author(s): Tamba Nicolas MILLIMONO, Daouda BADIANE, Moussa DIAKHATE, Alassane BAH, Saïdou Moustapha SALL, Ibra TOURE and Idrissa DIABY

April 2019

Comparativ e assessment of heavy metals in drinking water sources from Enyigba Community in Abakaliki Local Government Area, Ebonyi State, Nigeria

This study assessed the levels of heavy metals in drinking water sources in Enyigba community in Abakaliki Local Government Area, Nigeria. Four sites were visited for sampling: two surface water (streams) and two underground water (boreholes). Three water samples were collected from each source making it a total of twelve water samples. The levels of Arsenic (As), Cadmium (Cd), Copper (Cu), Zinc (Zn) and Lead (Pb) were...

Author(s): Chinyere Aloke, Ifeanyi Ephraim Uzuegbu, Patience Nkemjika Ogbu, Emmanuel Ike Ugwuja, Onyebuchi Frederick Orinya and Ikechukwu Ogudu Obasi

April 2019

A critical look at the Ghanaian one district one factory industrial policy in relation to climate change

This paper takes a critical look at Ghana’s one district one factory industrial policy in relation to climate change. This is important because climate variability and change as a result of industrialization can stand as hazard to impending advancement and expansion in Ghana. Industrial policy can contribute significantly to economic, ecological as well as communal sustainability. This paper aim to clarify the...

Author(s): John Frank Eshun

April 2019

Household Willingness to Pay for Improved Solid Waste Management in Shashemene Town, Ethiopia

  This study tried to investigate urban community’s willingness to pay for improved solid waste management. Double Bounded Dichotomous Choice technique was used to examine household’s willingness to pay for improved solid waste management. The collected data further analyzed Bivariate probit and logistic regression models to investigate the mean and factors determining willingness to pay for solid...

Author(s): Bamlaku Ayenew, Abera Tilahun, Solomon Erifo and Paulos Tesfaye