Advances in Water Quality Monitoring and Assessment in Marine and Coastal Regions

Alessandro Bergamasco,Qianguo Xing,Gabriella Caruso,Eleonora Carol,Hong Quan Nguyen

doi:10.3390/w13141926

Abstract

Coastal environments include several different habitat typologies, from shorelines to estuaries, and rocky and muddy environments [...]

Highlights

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A multidisciplinary approach including updated knowledge of coastal oceanography, hydrogeology, biogeochemistry and marine ecology has been promoted to discuss issues spanning from the assessment of quality status to the strategies for preventing eutrophication phenomena
On the basis of UAV or in situ hyperspectral data, Gai et al [10] proposed an improved model for retrieving Chlorophyll-a concentration, Jiang et al [11] evaluated the performances of different empirical and machine-learning models in monitoring the concentrations of Chlorophyll-a and suspended sediments, and Xue et al [12] tested a latest convolutional neural network (CNN) approach in estimating

Summary

Introduction

Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. A multidisciplinary approach including updated knowledge of coastal oceanography, hydrogeology, biogeochemistry and marine ecology has been promoted to discuss issues spanning from the assessment of quality status to the strategies for preventing eutrophication phenomena.

Results

Conclusion