2026-09-25T12:47:04Zhttps://univendspace.univen.ac.za/server/oai/requestoai:univendspace.univen.ac.za:11602/10662024-09-10T14:38:45Zcom_11602_1930com_11602_1915com_11602_1897com_11602_737col_11602_2152col_11602_738
Odiyo, J. O.
Makungo, R.
Mafamadi, Mercia Aluwani
2017
2018-05-24T10:21:15Z
2018-05-24T10:21:15Z
2018-05-18
Mafamadi, M.A. 2018. Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa. . . http://hdl.handle.net/11602/1066
http://hdl.handle.net/11602/1066
Mafamadi MA. Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa. []. , 2018 [cited yyyy month dd]. Available from: http://hdl.handle.net/11602/1066
Mafamadi, M. A. (2018). <i>Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa</i>. (). . Retrieved from http://hdl.handle.net/11602/1066
Mafamadi, Mercia Aluwani. <i>"Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa."</i> ., , 2018. http://hdl.handle.net/11602/1066
TY - Dissertation
AU - Mafamadi, Mercia Aluwani
AB - Greenhouse gases (GHGs) from coal power station affect the behaviour of climatic parameters such as the
temperature, rainfall and evaporation, over a long period of time, hence causing climatic trends. This study
focused on investigating the impacts of Greenhouse gases (GHGs) from coal power stations on climatic
and hydrological trends in Witbank area. To accomplish this, linear regression (LR) and Mann-Kendall
(MK) trend test were used to detect the hydro-climatic trends and their significance. GHG emissions were
obtained from Eskom’s sustainability report on the Eskom website. Temperature data for the years 1950-
2000 and 1993-2016 and rainfall data for the years 1925-2000 and 1993-2016 were used. Double Mass
Analysis (DMA) was used to check the homogeneity and consistency of temperature and rainfall data from
South African Weather Services (SAWS) station with the Lynch database and Water Research Commission
(WRC) data. Data was patched and extended using LR where necessary. Trends in temperature,
precipitation and flow were assessed using MK trend test and LR based on monthly, seasonal, and annual
scales. GHG emissions were compared with the hydro-climatic data over time in order to detect the impacts
of GHG emissions on temperature, rainfall and streamflow. The MK results indicated that GHG emissions
had some impacts on temperature with statistically significant increase in annual, monthly and seasonal
time scales for the period 1950-2016. LR also produced the same results for annual temperature. Monthly
and seasonal temperature could not be produced with the LR method because of data gaps. The MK and
LR models produced similar results, indicating that there was a non-significant increase in temperature
before coal power stations were introduced (1950-1974) and a significant increase in temperature after the
commissioning of coal power stations (1975-2016). MK and LR also produced the same results for annual
rainfall data, indicating that there was a significant increase in rainfall before coal power stations were
introduced (1925-1974) and a non-significant increase after the commissioning of coal power stations
(1975-2016). For monthly time scales MK and LR indicated increasing and decreasing trends before and
after coal power stations were introduced. MK and LR results for streamflow stations B2H004 and B2H007
showed similar results indicating non-significant increase in annual and seasonal streamflow, but differed
in monthly streamflow where MK showed significant increases whilst LR showed non-significant trends.
The study concluded that GHGs from coal power stations had significant impacts on the hydro-climatic
trends in Witbank area. GHGs from coal power stations caused significant increase in temperature as
temperature increased by 3.7°C after coal power stations were introduced, whereas temperature had
increased by 1.7 °C. It is recommened that more research should be done on alternative sources of energy
such as wind and solar energy to check their suitability and applicability in South Africa.
DA - 2018-05-18
DB - ResearchSpace
DP - Univen
KW - Impact
KW - Greenhouse gases
KW - Coal
KW - Power station
KW - Climatic
LK - https://univendspace.univen.ac.za
PY - 2018
T1 - Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa
TI - Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa
UR - http://hdl.handle.net/11602/1066
ER -
MESHWR
Department of Hydrology and Water Resources
Greenhouse gases (GHGs) from coal power station affect the behaviour of climatic parameters such as the
temperature, rainfall and evaporation, over a long period of time, hence causing climatic trends. This study
focused on investigating the impacts of Greenhouse gases (GHGs) from coal power stations on climatic
and hydrological trends in Witbank area. To accomplish this, linear regression (LR) and Mann-Kendall
(MK) trend test were used to detect the hydro-climatic trends and their significance. GHG emissions were
obtained from Eskom’s sustainability report on the Eskom website. Temperature data for the years 1950-
2000 and 1993-2016 and rainfall data for the years 1925-2000 and 1993-2016 were used. Double Mass
Analysis (DMA) was used to check the homogeneity and consistency of temperature and rainfall data from
South African Weather Services (SAWS) station with the Lynch database and Water Research Commission
(WRC) data. Data was patched and extended using LR where necessary. Trends in temperature,
precipitation and flow were assessed using MK trend test and LR based on monthly, seasonal, and annual
scales. GHG emissions were compared with the hydro-climatic data over time in order to detect the impacts
of GHG emissions on temperature, rainfall and streamflow. The MK results indicated that GHG emissions
had some impacts on temperature with statistically significant increase in annual, monthly and seasonal
time scales for the period 1950-2016. LR also produced the same results for annual temperature. Monthly
and seasonal temperature could not be produced with the LR method because of data gaps. The MK and
LR models produced similar results, indicating that there was a non-significant increase in temperature
before coal power stations were introduced (1950-1974) and a significant increase in temperature after the
commissioning of coal power stations (1975-2016). MK and LR also produced the same results for annual
rainfall data, indicating that there was a significant increase in rainfall before coal power stations were
introduced (1925-1974) and a non-significant increase after the commissioning of coal power stations
(1975-2016). For monthly time scales MK and LR indicated increasing and decreasing trends before and
after coal power stations were introduced. MK and LR results for streamflow stations B2H004 and B2H007
showed similar results indicating non-significant increase in annual and seasonal streamflow, but differed
in monthly streamflow where MK showed significant increases whilst LR showed non-significant trends.
The study concluded that GHGs from coal power stations had significant impacts on the hydro-climatic
trends in Witbank area. GHGs from coal power stations caused significant increase in temperature as
temperature increased by 3.7°C after coal power stations were introduced, whereas temperature had
increased by 1.7 °C. It is recommened that more research should be done on alternative sources of energy
such as wind and solar energy to check their suitability and applicability in South Africa.
NRF
1 online resource (xii, 78 leaves : color illustations, color maps)
en
Impact
Greenhouse gases
Coal
Power station
Climatic
UCTD
551.60968276
Greenhouse gases -- South Africa -- Mpumalanga
Gases -- South Africa -- Mpumalanga
Greenhouses -- Environmental engineering -- South Africa -- Limpopo
Greenhouse -- Climate
Impacts of greenhouse gases from coal power stations on climatic trends in Witbank areas, South Africa
Dissertation
open.access