Probability of hydrologic drought duration and intensity of Xijiang River

2013 ◽  
Vol 25 (4) ◽  
pp. 576-582 ◽  
Author(s):  
CHEN Zishen ◽  
◽  
LIU Zhanming ◽  
HUANG Qiang
2016 ◽  
Vol 20 (10) ◽  
pp. 4043-4059 ◽  
Author(s):  
Erik Tijdeman ◽  
Sophie Bachmair ◽  
Kerstin Stahl

Abstract. Climate classification systems, such as Köppen–Geiger and the aridity index, are used in large-scale drought studies to stratify regions with similar hydro-climatic drought properties. What is currently lacking is a large-scale evaluation of the relation between climate and observed streamflow drought characteristics. In this study we explored how suitable common climate classifications are for differentiating catchments according to their characteristic hydrologic drought duration and whether drought durations within the same climate classes are comparable between different regions. This study uses a dataset of 808 near-natural streamflow records from Europe and the USA to answer these questions. First, we grouped drought duration distributions of each record over different classes of four climate classification systems and five individual climate and catchment controls. Then, we compared these drought duration distributions of all classes within each climate classification system or classification based on individual controls. Results showed that climate classification systems that include absolute precipitation in their classification scheme (e.g., the aridity index) are most suitable for differentiating catchments according to drought duration. However, differences in duration distributions were found for the same climate classes in Europe and the USA. These differences are likely caused by differences in precipitation, in catchment controls as expressed by the base flow index and in differences in climate beyond the total water balance (e.g., seasonality in precipitation), which have been shown to exert a control on drought duration as well. Climate classification systems that include an absolute precipitation control can be tailored to drought monitoring and early warning systems for Europe and the USA to define regions with different sensitivities to hydrologic droughts, which, for example, have been found to be higher in catchments with a low aridity index. However, stratification of catchments according to these climate classification systems is likely to be complemented with information of other climate classification systems (Köppen–Geiger) and individual climate and catchment controls (precipitation and the base flow index), especially in a comparative study between Europe and the USA.


2015 ◽  
Vol 12 (12) ◽  
pp. 12877-12910 ◽  
Author(s):  
E. Tijdeman ◽  
S. Bachmair ◽  
K. Stahl

Abstract. Climate classification systems, such as Köppen–Geiger and the aridity index, are often used in large-scale drought modeling studies and in drought monitoring and early warning systems to stratify regions with similar hydro-climatic drought properties. What is currently lacking is a large-scale evaluation of the relation between climate and hydrologic drought characteristics. In this study we explored how suitable common climate classifications are for differentiating river basins according to their characteristic hydrologic drought duration and whether drought durations within the same climate classes are comparable between different regions. This study uses a dataset of 808 near-natural streamflow records from Europe and the USA to answer these questions. First, we grouped drought duration distributions of each record over different classes of climate classification systems and individual climate and catchment controls. Then, we compared these drought duration distributions of all classes within each climate classification system or classification based on individual controls. Results showed that climate classification systems that include absolute precipitation in their classification scheme (e.g., the aridity index) are most suitable to differentiate basins according to drought duration within both the USA and Europe. However, differences in duration distributions were found for the same climate classes in Europe and the USA. These differences are likely caused by differences in precipitation, in catchment controls as expressed by the base flow index and in differences in climate beyond the total water balance (e.g., seasonality in precipitation), which have shown to exert a control on drought duration as well. Climate classification systems that include an absolute precipitation control can be tailored into drought monitoring and early warning systems for Europe and the USA to define regions with different sensitivities to hydrologic droughts, which, for example, have been found to be higher in basins with a low aridity index. However, stratification of basins according to these climate classification systems is likely to be complemented with information of other climate classification systems (Köppen–Geiger) and individual controls (precipitation and the base flow index), especially in a comparative study between Europe and the USA.


2021 ◽  
Vol 214 ◽  
pp. 105530
Author(s):  
Muhammad Asif Khan ◽  
Muhammad Faisal ◽  
Muhammad Zaffar Hashmi ◽  
Amna Nazeer ◽  
Zulfiqar Ali ◽  
...  

Water ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 82
Author(s):  
Omolola M. Adisa ◽  
Muthoni Masinde ◽  
Joel O. Botai

This study examines the (dis)similarity of two commonly used indices Standardized Precipitation Index (SPI) computed over accumulation periods 1-month, 3-month, 6-month, and 12-month (hereafter SPI-1, SPI-3, SPI-6, and SPI-12, respectively) and Effective Drought Index (EDI). The analysis is based on two drought monitoring indicators (derived from SPI and EDI), namely, the Drought Duration (DD) and Drought Severity (DS) across the 93 South African Weather Service’s delineated rainfall districts over South Africa from 1980 to 2019. In the study, the Pearson correlation coefficient dissimilarity and periodogram dissimilarity estimates were used. The results indicate a positive correlation for the Pearson correlation coefficient dissimilarity and a positive value for periodogram of dissimilarity in both the DD and DS. With the Pearson correlation coefficient dissimilarity, the study demonstrates that the values of the SPI-1/EDI pair and the SPI-3/EDI pair exhibit the highest similar values for DD, while the SPI-6/EDI pair shows the highest similar values for DS. Moreover, dissimilarities are more obvious in SPI-12/EDI pair for DD and DS. When a periodogram of dissimilarity is used, the values of the SPI-1/EDI pair and SPI-6/EDI pair exhibit the highest similar values for DD, while SPI-1/EDI displayed the highest similar values for DS. Overall, the two measures show that the highest similarity is obtained in the SPI-1/EDI pair for DS. The results obtainable in this study contribute towards an in-depth knowledge of deviation between the EDI and SPI values for South Africa, depicting that these two drought indices values are replaceable in some rainfall districts of South Africa for drought monitoring and prediction, and this is a step towards the selection of the appropriate drought indices.


Anthropocene ◽  
2021 ◽  
Vol 36 ◽  
pp. 100309
Author(s):  
D. Peña-Angulo ◽  
S.M. Vicente-Serrano ◽  
F. Domínguez-Castro ◽  
I. Noguera ◽  
M. Tomas-Burguera ◽  
...  

2014 ◽  
Vol 74 (2) ◽  
pp. 997-1005 ◽  
Author(s):  
Shi Yu ◽  
Wenyue Du ◽  
Pingan Sun ◽  
Shiyi He ◽  
Yiming Kuo ◽  
...  

Sign in / Sign up

Export Citation Format

Share Document