Climate change has increased frequency, severity and areal extent of droughts across the world in the last few decades magnifying their adverse impacts. Prediction of droughts is immensely helpful in early warning and preparing the most vulnerable communities to their adverse impacts. For the first time, this study investigated the potential of developing drought prediction models over Pakistan using three state-of-the-art Machine Learning (ML) techniques; Support Vector Machine (SVM), Artificial Neural Network (ANN) and k-Nearest Neighbour (KNN). Three categories of droughts; moderate, severe, and extreme considering two major cropping seasons called Rabi and Kharif were estimated using Standardized Precipitation Evaporation Index (SPEI) a...
Drought is the least understood natural disaster due to the complex relationship of multiple contrib...
Forecasting meteorological and hydrological drought using standardized metrics of rainfall and runof...
Accurate predictions of drought events to plan and manage the adverse effects of drought on agricult...
Water resources, land and soil degradation, desertification, agricultural productivity, and food sec...
ABSTRACTThis study investigates drought trends, SPI-SPEI comparisons, and predictions in Rangpur, Ba...
Drought forewarning is an important decisive task since drought is perceived a recurrent feature of ...
Climate change has caused droughts to increase in frequency and severity worldwide, which has attrac...
Drought prediction is the most effective way to mitigate drought impacts. The current study examined...
Many efficient forecasting models have been found to fail or show low skill due to the changes in th...
The modelling of drought is of utmost importance for the efficient management of water resources. Th...
A noticeable increase in drought frequency and severity has been observed across the globe due to cl...
A noticeable increase in drought frequency and severity has been observed across the globe due to cl...
The reduction of drought impacts may be achieved through sustainable drought management and proactiv...
The reduction of drought impacts may be achieved through sustainable drought management and proactiv...
Drought is a climate phenomenon which might occur in any climate condition and all regions on the ea...
Drought is the least understood natural disaster due to the complex relationship of multiple contrib...
Forecasting meteorological and hydrological drought using standardized metrics of rainfall and runof...
Accurate predictions of drought events to plan and manage the adverse effects of drought on agricult...
Water resources, land and soil degradation, desertification, agricultural productivity, and food sec...
ABSTRACTThis study investigates drought trends, SPI-SPEI comparisons, and predictions in Rangpur, Ba...
Drought forewarning is an important decisive task since drought is perceived a recurrent feature of ...
Climate change has caused droughts to increase in frequency and severity worldwide, which has attrac...
Drought prediction is the most effective way to mitigate drought impacts. The current study examined...
Many efficient forecasting models have been found to fail or show low skill due to the changes in th...
The modelling of drought is of utmost importance for the efficient management of water resources. Th...
A noticeable increase in drought frequency and severity has been observed across the globe due to cl...
A noticeable increase in drought frequency and severity has been observed across the globe due to cl...
The reduction of drought impacts may be achieved through sustainable drought management and proactiv...
The reduction of drought impacts may be achieved through sustainable drought management and proactiv...
Drought is a climate phenomenon which might occur in any climate condition and all regions on the ea...
Drought is the least understood natural disaster due to the complex relationship of multiple contrib...
Forecasting meteorological and hydrological drought using standardized metrics of rainfall and runof...
Accurate predictions of drought events to plan and manage the adverse effects of drought on agricult...