Abstract:
Extreme weather conditions refers to the unusual weather patterns that can be severe in
its effects. For example, the frequency of heavy rainfall events are resulting in severe flood
events in different parts of the world. This situation is becoming threatening for life, health,
sanitation, agricultural production, water resources and hopes of development of any
society. Moreover, developing countries with scarce resources are sensitive to these changes
and the consequences are manifold due to lack of research and development to analyze
the actual impact and risks associated due to extreme weather conditions, especially on
agricultural production. Therefore, the requirement of analyzing the extremes of rainfall
is becoming vital and demands dynamic, accurate and reliable methods of analyses.
This study will focus on the sites of Punjab, Pakistan as being the most populated
province, with largest share in national agriculture production, diversity in terms of spatial
characteristics and limited available water resources for crops production. In this research
we have performed regional frequency analysis to accurately estimate quantiles for up-to
100-year return periods. The results have shown that the two distributions: GLO and GNO
are suitable candidates for regional quantile estimation for the two regions of Punjab. The
results of this study is useful for the scientists/researchers dealing with hydro-met projects,
for sustainable water resources management, planning for weather-related emergencies
and agricultural management.
