Demo abstract: wind measurements for water quality studies in urban reservoirs


Autoria(s): Du, Wan; Li, Mo; Xing, Zikun; He, Bingsheng; Chua, Lloyd Hock Chye; Li, Zhenjiang; Zheng, Yuanqiang; Zhou, Pengfei
Contribuinte(s)

[Unknown]

Data(s)

01/01/2014

Resumo

Water quality monitoring and prediction are critical for ensuring the sustainability of water resources which are essential for social security, especially for countries with limited land like Singapore. For example, the Singapore government identified water as a new growth sector and committed in 2006 to invest S$ 330 million over the following five years for water research and development [1]. To investigate the water quality evolution numerically, some key water quality parameters at several discrete locations in the reservoir (e.g., dissolved oxygen, chlorophyll, and temperature) and some environmental parameters (e.g., the wind distribution above water surface, air temperature and precipitation) are used as inputs to a three-dimensional hydrodynamics-ecological model, Estuary Lake and Coastal Ocean Model - Computational Aquatic Ecosystem Dynamics Model (ELCOM-CAEDYM) [2]. Based on the calculation in the model, we can obtain the distribution of water quality in the whole reservoir. We can also study the effect of different environmental parameters on the water quality evolution, and finally predict the water quality of the reservoir with a time step of 30 seconds. In this demo, we introduce our data collection system which enables water quality studies with real-time sensor data.

Identificador

http://hdl.handle.net/10536/DRO/DU:30070436

Idioma(s)

eng

Publicador

IEEE

Relação

http://dro.deakin.edu.au/eserv/DU:30070436/chua-demoabstract-2014.pdf

http://dro.deakin.edu.au/eserv/DU:30070436/chua-demoabstract-evid-2014.pdf

http://www.dx.doi.org/10.1109/SAHCN.2014.6990343

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6990343

Direitos

2014, IEEE

Tipo

Conference Paper