The course of hydrological drought in the river Drawa catchment (Northern Poland) as characterized by the standardized runoff index

2019 ◽  
Author(s):  
Katarzyna Kubiak-Wójcicka
2020 ◽  
pp. 517-531

This study aims to indicate the relationship between meteorological drought and hydrological drought on the example of a lakeland catchment in north-western Poland. The Standardised Precipitation Index (SPI) and Standardised Runoff Index (SRI) were used to identify drought during 1-, 3-, 6-, 9- and 12-month cumulation periods. In the study period 1971–2015, 13 to 62 meteorological droughts and 6 to 21 hydrological droughts were identified. The highest number of droughts occurred for the shortest cumulation period (1 month) and the lowest number for the longest cumulation period (12 months). The relationship between SPI and SRI coefficients over the annual course was strongest for the 9-month cumulation period. The highest correlation coefficient was obtained for February.


2020 ◽  
Vol 51 (5) ◽  
pp. 894-910
Author(s):  
Xueli Sun ◽  
Zhanling Li ◽  
Qingyun Tian

Abstract A nonstationary standardized runoff index (NSRI) is proposed by using the GAMLSS framework to assess the hydrological drought under nonstationary conditions. The definition of the NSRI is similar to that of SRI, but using a nonstationary Gamma distribution by incorporating meteorological variables and antecedent runoff as covariates to describe the characteristics of runoff series. The new drought index is then applied to the upper reach of the Heihe River basin. Four models are developed, in which one is stationary, and the other three are nonstationary with one, two and three covariates, respectively. Results show that, for the nonstationary runoff series, the nonstationary models are more robust and reliable than the stationary one. Among these models, the model with two covariates performs the best. For the model with one covariate, the precipitation shows better in the fitting as a covariate in rainy seasons, and the antecedent runoff shows better in dry seasons. The NSRI identifies more drought events than SRI does, and the drought conditions in our case are mainly affected by precipitation. It is proved that the proposed new drought index is a more effective method for drought assessments under nonstationary conditions.


2008 ◽  
Vol 37 (1) ◽  
Author(s):  
Tomasz Kakareko ◽  
Paweł Napiórkowski ◽  
Jacek Kozłowski

Diet composition and prey selection of vendaceLake Ostrowite is a mesotrophic lake in Northern Poland 280.7 ha in area and 43 m deep at its deepest point. To study vendace (


2021 ◽  
Vol 765 ◽  
pp. 144232
Author(s):  
Jiefeng Wu ◽  
Xiaohong Chen ◽  
Huaxia Yao ◽  
Dejian Zhang
Keyword(s):  

Sign in / Sign up

Export Citation Format

Share Document