Estimation of river discharge based on remote sensing of a river plume

A. Osadchiev

doi:10.1117/12.2192672

14 October 2015 Estimation of river discharge based on remote sensing of a river plume

A. Osadchiev

Proceedings Volume 9638, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015; 96380H (2015) https://doi.org/10.1117/12.2192672
Event: SPIE Remote Sensing, 2015, Toulouse, France

Abstract

Satellite remote sensing is an efficient tool to identify buoyant river plumes in the coastal ocean, formed by interaction between the river and the ambient sea waters. The observed spatial extent, shape and orientation of the plume are indicative of the respective river discharge. A new method of reconstructing the volume of river discharge using satellite imagery and numerical modelling is presented in this article. At the first step of the procedure, we use a high resolution satellite image of the coastal area adjacent to the examined river estuary to identify the buoyant plume. Then a number of required river, atmospheric and sea parameters (including river discharge) are prescribed for the hydrological model to simulate the spread of river discharge under this configuration. The characteristics of the simulated river plume are compared with the corresponding characteristics of the plume identified at the satellite image. Varying model forcing conditions and iteratively improving the accordance between these plumes we consequently specify the value of river discharge. The developed method was applied for the eastern coast of the Black Sea to evaluate the influence of the short-term and annual precipitation conditions on the variability of river discharge inflowing from the Russian coast to the Black Sea.

Citation Download Citation

A. Osadchiev "Estimation of river discharge based on remote sensing of a river plume", Proc. SPIE 9638, Remote Sensing of the Ocean, Sea Ice, Coastal Waters, and Large Water Regions 2015, 96380H (14 October 2015); https://doi.org/10.1117/12.2192672

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available