What is it about?

Forecasting of drought indices

Featured Image

Why is it important?

The demand of water has increased diversely due to expansion in agriculture, population, energy, and industrial zone. Many parts of the world suffered each year due to scarcity of water. Change in climatic condition and contamination in water play a key role in water scarcity. Several tools have been used for the assessment of drought. Similar to drought assessment tools, several models have been developed for drought forecasting. In this study, due to the importance of drought forecasting, the capability of ANN model is evaluated by forecasting drought using multiscalar drought Index-SPEI at various climatic zones of Pakistan.


We found that the MLPNN model is convenient for operational purposes.

Zulfiqar Ali
Quaid-i-Azam University

Read the Original

This page is a summary of: Forecasting Drought Using Multilayer Perceptron Artificial Neural Network Model, Advances in Meteorology, January 2017, Hindawi Publishing Corporation, DOI: 10.1155/2017/5681308.
You can read the full text:

Open access logo


The following have contributed to this page