7/31/2019 Aldwin Poster

1/1

In this study, the influence of rainfall variability and LULC changeinduced sediment and nutrient flux to the coastal primaryproductivity were further investigated using remote sensing-GIS

and empirical models.

It aims to determine the coastal primary productivity in theeastern central Arabian Sea.

It is also focus on the determination of sediment and nutrientflux to coastal area using RUSLE model, nutrient empiricalrelationships and sediment delivery ratio.

The relationships between the sediment and nutrient flux tocoastal primary productivity were further evaluated.

140 to 160 N

700 to 760 E

Coastal Area and Watersheds ofSouthwestern Maharashtra, Goa,and western Karnataka

Soil sampling is done in Goa

Water sampling done in Zuari Riverand mouth and off coast ofZuari-Mandovi River

Land Use and Cover andBathymetric information ofthe study area are shown onthe figures

Primaryproductivityexhibitsapronouncedmonsoonaltrend. ItpeaksduringNEandSWmonsoonanddecreasesduringintermonsoon.

Thehighestpeakproductivity isonSWmonsooncoincidingwithrainyseasonthatbringsnutrientsfromterrestrialsources.

Sedimentandnutrientfluxshowedthesameannualtrendasprimaryproductivity whereintheyexhibitadecreasingtrendfrom2003to2011.

RainfallVariabilityandLULChavepotentialimpactonsedimentandnutrientfluxaswellasprimaryproductivity.

Thereisatimelagbetweenthepeakofrainfallandpeakofprimaryproductivity

CONCLUSIONS

Amorerigidandextensivevalidationofinputsandresults. Theuseofahigherresolutiondataifavailableandassimilationof

extensivedatafromexistingdatabases DeploymentofsedimenttrapforvalidationofSDR Couplingofthenutrientandsedimentfluxmodelwith

hydrodynamicmodeltoevaluatethespatialextentofitsimpacttocoastalwaters.

RECOMMENDATIONS