Open AccessDiversity in the observed functionality of dams and reservoirs
Author(s) -
Jonghun Kam
Publication year - 2021
Publication title -
environmental research: infrastructure and sustainability
Language(s) - English
Resource type - Journals
ISSN - 2634-4505
DOI - 10.1088/2634-4505/ac3f3f
Subject(s) - environmental science , streamflow , hydrology (agriculture) , surface runoff , precipitation , seasonality , drainage basin , drainage , water resources , flood myth , climatology , geography , geology , ecology , meteorology , cartography , geotechnical engineering , archaeology , biology
Knowledge and modeling of the observed functionality of dams and reservoirs are desirable for better water resources management. In this study, we examine the functionality of dams and reservoirs over much of the globe through a hydroclimate assessment over 990 Global Runoff Data Center stations that have at least one dam/reservoir over the corresponding drainage areas and available streamflow records of at least 25 years. To quantify the potential capacity of human disturbance/alteration, annual cumulative maximum storage (CMS) of the dams are computed and then annual potential changes in the residence time of water (PRT; CMS divided by annual mean monthly flow) are assessed. In addition, the Man–Kendall tests for annual maximum, mean, and minimum monthly streamflow, and drainage area-averaged precipitation are conducted. Results show that the size of CMS and the main purpose have an explanatory power of the designed hydrologic response (i.e., flattening of the seasonality) while 6% of dam-affected stations experienced the opposite hydrologic response (intensifying of the seasonality) due to the overwhelming impact of anthropogenic climate change. This study finds that the magnitude of PRT is a potential indicator to identify a considerable impact of dams and reservoirs for the regional hydrologic regime. The findings of this study suggest diversity in the observed functionality of dams and reservoirs, which is still a challenge in global hydrological modeling.