Status: this discussion paper is a preprint. It has been under review for the journal Hydrology and Earth System Sciences (HESS). The manuscript was not accepted for further review after discussion.
Evaluation of flushing time, groundwater discharge and associated nutrient fluxes in Daya Bay, China
Yan Zhang,Meng Zhang,Hailong Li,Xuejing Wang,Wenjing Qu,Xin Luo,Kai Xiao,and Xiaolang Zhang
Abstract. Radium quartet have been widely used to quantify the flushing time of water body and submarine groundwater discharge (SGD) in coastal zones. However, previous apparent age model based on mass balance of radium isotopes usually neglected the effects of rivers, open sea water end-member, sedimentary input, atmospheric deposits and recirculated seawater (RSGD). To enhance accuracy in estimating flushing time and SGD, here we present an improved model and then apply in Daya Bay, China. The flushing time estimated by the improved model is 11.8–27.7 d in Daya Bay. It is found that the previous model overestimated the flushing time by 10.7 %–103 %. Considering the radium losses caused by RSGD, the SGD flux is estimated to be (3.87–5.09) × 107 m3 d−1 based on the derived flushing time. The SGD associated nutrient fluxes are estimated to be (1.36–1.76) × 106 mol d−1 and (2.53–3.26) × 104 mol d−1 for DIN and DIP, respectively, about 20 times greater than those from local rivers. The primary production supported by all the external DIN inputs is determined to be 323–390 mg C m−2 d−1, in which SGD provide approximately 73.1 % of total primary production. Our results reveals that SGD plays an important role in nutrient balance and may be responsible for the frequent outburst of red tides in Daya Bay. The present study provides baseline data for evaluating environmental effects in Daya Bay and similar coastal bay systems elsewhere.
Received: 16 Apr 2018 – Discussion started: 07 May 2018
Publisher's note: Copernicus Publications remains neutral with regard to jurisdictional claims made in the text, published maps, institutional affiliations, or any other geographical representation in this preprint. The responsibility to include appropriate place names lies with the authors.
Yan Zhang,Meng Zhang,Hailong Li,Xuejing Wang,Wenjing Qu,Xin Luo,Kai Xiao,and Xiaolang Zhang
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Yan Zhang
MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences-Beijing, Beijing 100083, China
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences-Beijing, Beijing 100083, China
School of Environmental Science and Engineering and Shenzhen Key Laboratory of Soil and Groundwater Pollution Control, Southern University of Science and Technology, Shenzhen 518055, China
Meng Zhang
Zhong Di Bao Lian (Beijing) Land and Resource Exploration Technology Co., Ltd, Beijing 100193, China
Hailong Li
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences-Beijing, Beijing 100083, China
School of Environmental Science and Engineering and Shenzhen Key Laboratory of Soil and Groundwater Pollution Control, Southern University of Science and Technology, Shenzhen 518055, China
Xuejing Wang
School of Environmental Science and Engineering and Shenzhen Key Laboratory of Soil and Groundwater Pollution Control, Southern University of Science and Technology, Shenzhen 518055, China
Wenjing Qu
MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences-Beijing, Beijing 100083, China
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences-Beijing, Beijing 100083, China
Xin Luo
Department of Earth Sciences, The University of Hong Kong, Hong Kong, China
Shenzhen Research Institude, The University of Hong Kong, Shenzhen, China
Kai Xiao
MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences-Beijing, Beijing 100083, China
State Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences-Beijing, Beijing 100083, China
School of Environmental Science and Engineering and Shenzhen Key Laboratory of Soil and Groundwater Pollution Control, Southern University of Science and Technology, Shenzhen 518055, China
Previous apparent age model usually neglects the effects of the key factors and results in the uncertainty of flushing time estimation for coastal waters. To enhance the accuracy of flushing time and submarine groundwater discharge (SGD), we present an improved model and then apply in Daya Bay, China. The nutrient inputs from SGD are compared with those from the local rivers and other external sources. The analysis indicates that SGD has an important influence on the ecological environment.
Previous apparent age model usually neglects the effects of the key factors and results in the...