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Coastal Dynamic Model Using Typology Dataset: Understanding DDIP Trends

A crude model combining proxy variables to predict DDIP trends in coastlines based on the LOICZ Biogeochemical Equation. Explore how DIP retention, light, plankton, and turbidity influence DDIP dynamics.

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Coastal Dynamic Model Using Typology Dataset: Understanding DDIP Trends

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  1. Crude Model for DDIP Trends in the CoastlinesUsing Proxy Variables from the Typology Dataset

  2. FromLOICZ Biogeochemical Equation: DDIPsyst = -VRDIPR- VX(DIPocn-DIPsyst) • @ DIPsyst > DIPocn DIP(retention coefficient) = VR/VX Where: VR = runoff + population VX = tidal/depth DDIPsyst = DIP(retention coefficient)x light x plankton x turbidity-1 2. @ DIPsyst < DIPocn DIP(retention coefficient) = VRVX

  3. Potential DDIP decreasing trend (w/o population) atDIPsyst > DIPocn DDIP =-VR/VX where: VR = f(runoff) VX = (tide+wind+wave)/depth

  4. Potential DDIP decreasing trend (with population) atDIPsyst > DIPocn DDIP =-VR/VX where: VR = f(runoff + population) VX = (tide+wind+wave)/depth

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