GlobalReservoirModel V1.0 A new global reservoir modeling database

Abstract

With increasing of population and socioeconomic development during the last decades, global constructions of dams and reservoirs have surged in diverse applications, such as flood control, and hydropower generation etc. As the acceleration of human activities, reservoirs and dam management, such as quantitative analysis of biogeochemical cycling, dam spatiotemporal outflow regulations, and greenhouse gas emissions etc., become interdisciplinary scientific hotspots. Available databases provided uncoupled global databases, such as dam attributes, and climate variations etc. The lack of user-friendly systematic modelling databases for many two-dimensional (2D) and three-dimensional (3D) global reservoir models, resulting in researchers and governments cannot obtain timely water quality information. Here, we have developed a novel 2D global reservoir modelling usable database (GRM V1.0) that integrated multiple global databases, including Global Reservoir and Dam database (GRanD), reservoir storage-area-depth dataset (ReGeom), WaterGAP V2.2D, FutureStreams, ERA5 reanalysis databases. GRM V1.0 generated and provided global simplified reservoir bathymetry with user defined segment and layer numbers for each reservoir, as well as long-term water discharge (from 1901 to 2019) and water temperature (from 1979 to 2005) model usable files. Additionally, GRM V1.0 have generated model usable meteorological daily data (from 1959 to 2019) which contain air temperature, wind speed and direction, and cloud information. These output files can be directly implemented in CE-QUAL-W2 model which is a laterally 2D hydrodynamic and water quality model through GRM intelligent multithreading module. GRM V1.0 could be dynamic modified through user demand and overcome the gaps between conventional datasets and water quality modelling research. Furthermore, GRM V1.0 offers a multiple range of applications. For instance, the simulation of dissolved oxygen (DO) concentrations with reservoir thermal stratifications from individual reservoirs to several reservoirs in a watershed. Our findings suggested that GRM V1.0 can be a crucial component of process-based water quality model and it will potentially enable new insight into how reservoir responds to climatic variability.