Paper Info
Title
Logistic Regression Analysis for Spatial Patterns of Drought Persistence
Abstract
Drought is one of the natural hazards with potentially significant impacts on society, economy, and other natural resources over the globe. However, the understanding of drought characteristics and its persistence can significantly help to reduce the potential impacts of drought. Moreover, the knowledge about the spatiotemporal pattern of seasonal drought frequency and drought persistence is important for water resource management, agricultural development, energy consumption, and crop yields. Therefore, the present study is employed to examine the seasonal drought frequency and drought persistence in the region. In this regard, the standardized precipitation index (SPI) at the three-month time scale was used to determine meteorological drought. Furthermore, the logistic regression model is used to calculate the odds and probability of drought persistence from one season to the next for the selected stations by identifying the spatial pattern of seasonal drought frequency and persistence. The potential of the current analysis is validated on six selected stations of the northern area of Pakistan. The outcomes related to the current analysis provide the basis for taking more considerations on early warning systems and help to make the valuable decision for water resource management and agriculture sectors in Pakistan.
Year
DOI
Venue
2021
10.1155/2021/3724919
COMPLEXITY
DocType
Volume
ISSN
Journal
2021
1076-2787
Citations 
PageRank 
References 
0
0.34
0
Authors
6
Name
Order
Citations
PageRank
Rizwan Niaz100.68
Xiang Zhang219534.67
Nouman Iqbal300.34
Mohammed M. A. Almazah401.35
Tajammal Hussain500.34
Ijaz Hussain654.87