Supporting data for the journal article "A New Simulation-Optimization Framework for Estimation of Submarine Groundwater Discharge Based on Hydrodynamic Modeling and Isotopic Data"

Estimation of submarine groundwater discharge (SGD) has traditionally relied on isotopic mass balance calculation, which is a form of regional box modeling. Here we propose an entirely new approach for SGD estimation by coupling a general marine hydrodynamic simulation model with a global optimization algorithm.

This dataset is the isotope sampling data for four seasons from 2015 to 2016 in Daya Bay. The data was used to estimate the submarine groundwater discharge in Daya Bay based on a new simulation-optimization framework. It provides the activities of 223Ra, 224Ra, 226Ra and 228Ra measured at 42 sampling stations (29 seawater stations, 9 coastal groundwater stations, and 4 river stations) during the period from 2015 to 2016. The 226Ra data in autumn is absent with no measurement.