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Frontiers of Earth Science

ISSN 2095-0195

ISSN 2095-0209(Online)

CN 11-5982/P

Postal Subscription Code 80-963

2018 Impact Factor: 1.205

Front. Earth Sci.    2018, Vol. 12 Issue (3) : 583-599    https://doi.org/10.1007/s11707-017-0684-6
RESEARCH ARTICLE
Upriver transport of dissolved substances in an estuary and sub-estuary system of the lower James River, Chesapeake Bay
Bo HONG1(), Jian SHEN2, Hongzhou XU3
1. School of Civil and Transportation Engineering, South China University of Technology, Guangzhou 510641, China
2. Virginia Institute of Marine Science, College of William & Mary, Williamsburg VA23062, USA
3. Institute of Deep-sea Science and Engineering, Chinese Academy of Sciences, Sanya 572000, China
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Abstract

The water exchange between the James River and the Elizabeth River, an estuary and sub-estuary system in the lower Chesapeake Bay, was investigated using a 3D numerical model. The conservative passive tracers were used to represent the dissolved substances (DS) discharged from the Elizabeth River. The approach enabled us to diagnose the underlying physical processes that control the expansion of the DS, which is representative of potential transport of harmful algae blooms, pollutants from the Elizabeth River to the James River without explicitly simulating biological processes. Model simulations with realistic forcings in 2005, together with a series of process-oriented numerical experiments, were conducted to explore the correlations of the transport process and external forcing. Model results show that the upriver transport depends highly on the freshwater discharge on a seasonal scale and maximum upriver transport occurs in summer with a mean transport time ranging from 15–30 days. The southerly/easterly wind, low river discharge, and neap tidal condition all act to strengthen the upriver transport. On the other hand, the northerly/westerly wind, river pulse, water level pulse, and spring tidal condition act to inhibit the upriver transport. Tidal flushing plays an important role in transporting the DS during spring tide, which shortens the travel time in the lower James River. The multivariable regression analysis of volume mean subtidal DS concentration in the mesohaline portion of the James River indicates that DS concentration in the upriver area can be explained and well predicted by the physical forcings (r= 0.858, p=0.00001).

Keywords transport process      physical forcing      numerical modeling      estuary      Chesapeake Bay     
Corresponding Author(s): Bo HONG   
Just Accepted Date: 12 December 2017   Online First Date: 15 January 2018    Issue Date: 05 September 2018
 Cite this article:   
Bo HONG,Jian SHEN,Hongzhou XU. Upriver transport of dissolved substances in an estuary and sub-estuary system of the lower James River, Chesapeake Bay[J]. Front. Earth Sci., 2018, 12(3): 583-599.
 URL:  
https://academic.hep.com.cn/fesci/EN/10.1007/s11707-017-0684-6
https://academic.hep.com.cn/fesci/EN/Y2018/V12/I3/583
Fig.1  (a) The topography of the James River. The water depth is in meters. The contour interval is 5 m. The transect across the mouth of the Elizabeth River is marked. The star at the mouth of the Elizabeth River denotes the position where the exchange flow was calculated in Figs. 5–9. The Sewells Point (SP) Station is marked by a red triangle. Stations LE5.1, LE5.2, LE5.3, LE5.4, LE5.5-W, and LE5.6 are marked by red squares. The four major branches of the Elizabeth River are marked by the shaded areas; (b) Computational domain and model grid of the James River. The three red triangles represent the locations of the freshwater input. The transect along the main channel of the James River is marked. The domain M is selected as a representative region for the analysis of upstream transport.
Fig.2  (a–f) Model-data comparisons for the temporal variations of salinity profile at stations LE5.1, LE5.2, LE5.3, LE5.4, LE5.5-W, and LE5.6. The observations were obtained from the Chesapeake Bay Water Quality Monitoring Program; (g–h) comparisons of tidal and subtidal water elevation at Sewells Point station.
Mean_obs Std_obs Mean_mod Std_mod RMS Skill
Tidal 0.0002 0.2571 0.0002 0.2528 0.0512 0.9898
Subtidal 0.1243 0.1590 0.1851 0.1856 0.1397 0.8322
Tab.1  Statistics of the model-data comparison in water level. RMS denotes root mean square
Fig.3  Monthly mean results in August, 2005: (a) surface and bottom layer DS concentration (arbitrary unit); (b) surface and bottom layer DS transport time (day); (c) surface and bottom layer residual circulation; (d) salinity transect along the main channel of the James River. The location of the transect is marked in Fig. 1(b).
Fig.4  Time series of volume mean DS concentration and transport time calculated in the entire water column of domain M. The location of domain M is marked in Fig. 1(b).
Fig.5  (a) Wind vector from Day 270 to Day 300, 2005; (b) surface and bottom layer DS concentration (arbitrary unit) on Days 280 (southerly wind) and 287 (northerly wind); (c) time series of volume mean DS concentration in domain M; (d) exchange flow at the mouth of the Elizabeth River on Days 277, 280, and 287, respectively. The location of the exchange flow was marked in Fig. 1(a) by the green star at the Elizabeth River mouth. The positive (negative) direction indicates flow leaving (entering) Elizabeth River.
Fig.6  (a) Subtidal water level at the mouth of the James River. The observed subtidal water level at Sewells Point station is also superimposed; (b) daily mean surface and bottom layer DS concentration (arbitrary units) on Days 295, 298, 301, and 306 in 2005, respectively; (c) time series of volume mean DS concentration in domain M; (d) exchange flow at the mouth of Elizabeth River on Days 293, 297, 301, and 306 in 2005, respectively.
Fig.7  (a) Total river discharge to the James River from its headwaters; (b) daily mean surface and bottom layer DS concentration (arbitrary unit) on Days 94 and 258 in 2005; (c) salinity transect on Days 94 and 258 along the main channel of the James River (see Fig. 1(b) for the location of the transect. Here p1, p2, p3 represent the corresponding sites in (b) and (c)); (d) exchange flow at the mouth of Elizabeth River on Days 94 and 258, respectively.
Fig.8  (a) Time series of tidal elevation at Sewells Point Station in 2005; (b) low-pass filtered DS flux (mass×m3/s, mass is in arbitrary units) across the mouth of Elizabeth River; (c) exchange flow at the mouth of Elizabeth River on Days 213 and 220, respectively; (d) volume mean DS concentration in the domain M.
Fig.9  Results from the sensitivity runs with wind turned off (Zero), northerly wind (N), westerly wind (W), southerly wind (S), and easterly wind (E), respectively: (a) exchange flow at the mouth of Elizabeth River; (b) flux of dissolved substances at the mouth of Elizabeth River, which were calculated from the transect across the mouth of Elizabeth River shown in Fig. 1(a); (c) volume mean DS concentration in the domain M.
Fig.10  Travel time (days) corresponding to the depth-averaged peak concentration of DS released from the four branches of the Elizabeth River on Day 213 (left) and Day 220 (right). The travel time is relative to the releasing day. Days 213 and 220 are selected to represent the typical spring and neap tidal condition, respectively.
River discharge Wind speed Subtidal water Level
(Remote wind effect)
Stratification
Correlation coefficient –0.71 –0.52 0.22 –0.77
Tab.2  Correlation coefficient (at 95% confidence level) of the mean DS concentration in domain M with each physical forcing component. The dominant tides in James River is M2 and S2. The 15-day running average is applied in order to remove the tidal effect from the one-year results
Fig.11  Results of spectrum analysis for daily mean DS concentration and forcing variables. The first three significant frequencies for DS concentration are 22.75, 28, and 14.56 days.
Fig.12  (a) Multi-variable regression of DS concentration in the domain M with the forcing field, which include wind, water level, river discharge, and stratification at Station LE5.4 (near NNP and is maintained by the Chesapeake Bay Water Quality Monitoring Program). The correlation coefficient is 0.856 (p=0.00001).
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