| Title | A New Simulation-Optimization Framework for Estimation of Submarine Groundwater Discharge Based on Hydrodynamic Modeling and Isotopic Data |
| Authors | Yu, Jiang Tian, Yong Wang, Xuejing Wang, Xiaoli Lancia, Michele Li, Hailong Andrews, Charles B. Zheng, Chunmiao |
| Affiliation | Peking Univ, Coll Engn, Inst Water Sci, Beijing, Peoples R China Southern Univ Sci & Technol, Sch Environm Sci & Engn, State Environm Protect Key Lab Integrated Surface, Shenzhen, Peoples R China Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen, Peoples R China Univ Hong Kong, Dept Civil Engn, Hong Kong, Peoples R China EIT Inst Adv Study, Ningbo, Peoples R China SS Papadopulos & Associates Inc, Rockville, MD USA |
| Keywords | DAYA BAY NUTRIENT INPUTS RADIUM ISOTOPES COASTAL ZONE RA-224 CHINA WATER DYNAMICS FLUXES RADON |
| Issue Date | 16-Dec-2022 |
| Publisher | GEOPHYSICAL RESEARCH LETTERS |
| Abstract | 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. The newly developed approach has the distinct advantage of being able to map the spatial distribution of SGD. The results of this study show that the estimated SGD exhibits a strong spatial heterogeneity. Furthermore, this study underscores the important effect of isotope sampling time on SGD estimation. Thus, the fluctuation of seawater level and a lag in isotope activity to water level changes should be considered to assure the representativeness of measured isotope activities. Overall, the simulation-optimization framework adds a versatile and powerful new tool for more detailed SGD estimation. |
| URI | http://hdl.handle.net/20.500.11897/671020 |
| ISSN | 0094-8276 |
| DOI | 10.1029/2022GL098893 |
| Indexed | SCI(E) |
| Appears in Collections: | 工学院 |
