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Spatial Distribution of

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Strong W-E spatial gradient in TSP and every forms of sedimentary P. CaCO3-bound P accounts 44% of TSP. Refractory organic P constitutes 24% of TSP ... – PowerPoint PPT presentation

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Title: Spatial Distribution of


1
Spatial Distribution of Different Forms of
Sedimentary Phosphorus in Florida Bay
sequential extraction approach Jia-Zhong
Zhang and Charles Fischer Ocean Chemistry
Division, AOML, NOAA, Miami, FL 33149
 
2
Florida Bay
3
Bottom type
4
Low phosphate concentration in Florida Bay
water Zhang Chi, 2002
5
Sediment sampling station
6
Sequential extraction procedure
7
Percentage of CaCO3 in Florida Bay sediments
8
Total Sedimentary Phosphorus in Florida Bay
9
Total exchangeable phosphorus by MgCl2 extraction
10
Exchangeable Inorganic phosphorus by MgCl2
extraction
11
Exchangeable organic phosphorus by MgCl2
extraction
12
Iron-bound Phosphorus by dithionite extraction
13
Reactive iron in Florida Bay sediments
14
Salinity of Florida Bay water during sediment
sampling By courtesy of Lee John
15
CaCO3-bound total phosphorus by HAc (pH 4)
extraction
16
CaCO3-bound inorganic phosphorus
17
CaCO3-bound organic phosphorus
18
Detrital phosphorus by HCl extraction
19
Residual refractory organic phosphorus by ashing
20
comparison
21
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22
Percentage of Different Forms of Sedimentary
Phosphorus
23
Summary
  • Strong W-E spatial gradient in TSP and every
    forms of sedimentary P
  • CaCO3-bound P accounts 44 of TSP
  • Refractory organic P constitutes 24 of TSP
  • Iron-bound P accounts 19 of TSP
  • Exchangeable P accounts 8 of TSP

24
Sunset
Recent Publications
Zhang, Jia-Zhong, Charles J. Fischer, and Peter
B. Ortner, (2004) Potential availability of
sedimentary phosphorus to sediment resuspension
in Florida Bay, Global Biogeochemical Cycles. 18,
GB4008, doi 10.1029/2004GB002255, 2004. Zhang,
J.-Z., J. Chi (2002) Automated analysis of
nanomolar concentrations of phosphate in natural
waters with liquid waveguide, Environmental
Science Technology, 36(5) 1048-1053.
Acknowledgements
This research was supported by NOAAs South
Florida Ecosystem Restoration, Prediction and
Modeling Program
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