Next Article in Journal
Trade-Offs and Synergies in Ecosystem Service within the Three-Rivers Headwater Region, China
Next Article in Special Issue
Spatial and Seasonal Variation of Biomineral Suspended Particulate Matter Properties in High-Turbid Nearshore and Low-Turbid Offshore Zones
Previous Article in Journal
A Geospatial Approach for Identifying and Exploring Potential Natural Water Storage Sites
Previous Article in Special Issue
Modelling Fine Sediment Dynamics: Towards a Common Erosion Law for Fine Sand, Mud and Mixtures
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Water 2017, 9(8), 570; https://doi.org/10.3390/w9080570

Spatiotemporal Variation of Turbidity Based on Landsat 8 OLI in Cam Ranh Bay and Thuy Trieu Lagoon, Vietnam

1
Institute of Marine Science and Fishing Technology, Nha Trang University, 02 Nguyen Dinh Chieu Street, Nha Trang 650000, Vietnam
2
Sasaki Laboratory, Department of Socio-Cultural Environmental Studies, Graduate School of Frontier Sciences, the University of Tokyo, 5-1-5 Kashiwanoha Kashiwa, Chiba 277-8563, Japan
3
Yokohama National University, 79-5 Tokiwadai, Hodogaya-ku, Yokohama 240-8501, Japan
4
Institute of Oceanography, Vietnam Academy of Science and Technology (VAST), 01 Cau Da, Nha Trang 650000, Vietnam
*
Author to whom correspondence should be addressed.
Received: 12 April 2017 / Revised: 31 May 2017 / Accepted: 15 June 2017 / Published: 8 August 2017
(This article belongs to the Special Issue Sediment Transport in Coastal Waters)
Full-Text   |   PDF [10583 KB, uploaded 8 August 2017]   |  

Abstract

In recent years, seagrass beds in Cam Ranh Bay and Thuy Trieu Lagoon have declined from 800 to 550 hectares, resulting insignificantly reducing the number of fish catch. This phenomenon is due to the effect of the degradation of water environment. Turbidity is one of the most important water quality parameters directly related to underwater light penetration which affects the primary productivity. This study aims to investigate spatiotemporal variation of turbidity in the waters with major factors affecting its patterns using remote sensing data. An algorithm for turbidity retrieval was developed based on the correlation between in situ measurements and a red band of Landsat 8 OLI with R2 = 0.84 (p < 0.05). Simulating WAves Nearshore (SWAN) model was used to compute bed shear stress, a major factor affecting turbidity in shallow waters. In addition, the relationships between turbidity and rainfall, and bed shear stress induced by wind were analyzed. It was found that: (1) In the dry season, turbidity was low at the middle of the bay while it was high in shallow waters nearby coastlines. Resuspension of bed sediment was a major factor controlling turbidity during time with no rainfall. (2) In the rainy season or for a short time after rainfall in the dry season, turbidity was high due to a large amount of runoff entering into the study area. View Full-Text
Keywords: remote sensing reflectance; turbidity; seagrass beds; bed shear stress; fresh water runoff; oceanic water intrusion remote sensing reflectance; turbidity; seagrass beds; bed shear stress; fresh water runoff; oceanic water intrusion
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Quang, N.H.; Sasaki, J.; Higa, H.; Huan, N.H. Spatiotemporal Variation of Turbidity Based on Landsat 8 OLI in Cam Ranh Bay and Thuy Trieu Lagoon, Vietnam. Water 2017, 9, 570.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Water EISSN 2073-4441 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top