Showing 1 - 7 of 7
With the increasing exposure of populations and economy to natural hazards, the spatio-temporal characteristics of extreme rainfall remain a key subject of study. Based on annual maximum rainfall (AM) and peaks over threshold rainfall series at 30 meteorological stations during 1960–2011 in...
Persistent link: https://www.econbiz.de/10010996019
The paper presents results of an application of the L-moments based regional flood frequency analysis to annual maximum peak (AMP) flows observed at seven stations (Tarbela, Kalabagh, Chashma, Taunsa, Guddu, Sukkur and Kotri) located on the main stream of the Indus River, Pakistan. The results...
Persistent link: https://www.econbiz.de/10010997756
-moments parameter estimation. Screening of the data of the gauged site is carried out based on a discordancy measure in terms of the L …
Persistent link: https://www.econbiz.de/10010997937
were then aggregated for the investigation. Because the value of discordancy measure exceeded the critical value, station … region and passed the discordancy measure and heterogeneity measures of RFA. The accuracy of at-site rainfall quantile …
Persistent link: https://www.econbiz.de/10011151613
The orographic effect is a common phenomenon in mountainous regions. Our goal is to analyze the orographic effect with quantile by regional frequency analysis and multiple regression. Multiple regression was used to develop models to estimate the amount and the spatial distribution of orographic...
Persistent link: https://www.econbiz.de/10010847414
This study investigated the frequency of droughts for the period September 1910 to October 2004 in mainland Portugal, based on monthly precipitation data from 144 rain gauges distributed across the country. The drought events were characterized using the standardized precipitation index (SPI)...
Persistent link: https://www.econbiz.de/10010794164
<Para ID="Par1">Joint probability behavior of droughts is important for China due to the fact that China is the agricultural country with the largest population in the world and it is particularly the case in the backdrop of intensifying weather extremes in a warming climate. In this case, regionalization of...</para>
Persistent link: https://www.econbiz.de/10011241227