Department of Biochemistry and Biotiotechnology
KNUST
Kumasi, 233
Ghana
Kwame Nkrumah University of Science and Technology, Ghana
Ashanti Region, Extreme rainfall, Flood Events, ETCCDI
Groundwater Recharge, Machine Learning, Artificial Neural Network, Multiple Linear Regression, Random Forest, Densu Basin
Drought, coping measures, rainfall anomaly index, mixed methods, northwest Ghana
MCS, Rainfall extreme, West Africa, Updrafts, Downdrafts, AEWs, LLWS