南方科技大学知识苑(SUSTech KC): An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China

题名	An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China
作者	Tian, Yong1,2 ; Huang, Mutao 3
通讯作者	Huang, Mutao
发表日期	2019-09
DOI	10.3390/jmse7090314
发表期刊	Journal of Marine Science and Engineering 影响因子和分区
ISSN	2077-1312
EISSN	2077-1312
卷号	7 期号:9
摘要	Harmful algal blooms (HABs) cause environmental problems worldwide. Continuous monitoring and forecasting of harmful algal blooms are necessary for marine resources managers to detect the intensity and spatial extent of HABs and provide early warnings to the public. In this study, we introduce an integrated web-based system for the monitoring and forecasting of coastal HABs. The system is named the Harmful Algal Blooms Monitoring and Forecasting System (HMFS). HMFS integrates in situ observations, a remote-sensing-based model, hydrodynamic and water quality model and Web-Based Geographic Information System (GIS) techniques into one environment. The in situ sensors and remote sensing model provide automatic and continuous monitoring of the coastal water conditions. The numerical models provide short-term prediction and early warning of HAB of up to 5 days. The overall forecast accuracy is more than or equal to 50% for the major coastal areas of Shenzhen in 2018. By leveraging a web-based GIS technique and Service-Oriented Architecture (SOA), the web portal of HMFS provides a graphic interface for users and mangers to view real-time in situ measurements and remote sensing maps, explore numerical model forecasts and get early warning information. HMFS was applied to Shenzhen, which is a rising megacity in Southern China. The application study demonstrated the applicability and effectiveness of HMFS for monitoring and predicting HABs.
关键词	harmful algal blooms three-dimensional hydrodynamics remote sensing coastal water Web-based geographic information system
相关链接	[来源记录]
收录类别	SCI
语种	英语
学校署名	第一
资助项目	Fundamental Research Funds for the Central Universities[2017KFYXJJ203]
WOS研究方向	Oceanography
WOS类目	Oceanography
WOS记录号	WOS:000487981700045
出版者	MDPI
来源库	Web of Science
引用统计	被引频次[WOS]：11
成果类型	期刊论文
条目标识符	http://sustech.caswiz.com/handle/2SGJ60CL/42183
专题	工学院_环境科学与工程学院
作者单位	1.Southern Univ Sci & Technol, Sch Environm Sci & Engn, Guangdong Prov Key Lab Soil & Groundwater Pollut, Shenzhen 518055, Peoples R China 2.Southern Univ Sci & Technol, Shenzhen Municipal Engn Lab Environm IoT Technol, Shenzhen 518055, Peoples R China 3.Huazhong Univ Sci & Technol, Sch Hydropower Engn & Informat Engn, Wuhan 430074, Hubei, Peoples R China
第一作者单位	环境科学与工程学院; 南方科技大学
第一作者的第一单位	环境科学与工程学院
推荐引用方式 GB/T 7714	Tian, Yong,Huang, Mutao. An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China[J]. Journal of Marine Science and Engineering,2019,7(9).
APA	Tian, Yong,&Huang, Mutao.(2019).An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China.Journal of Marine Science and Engineering,7(9).
MLA	Tian, Yong,et al."An Integrated Web-Based System for the Monitoring and Forecasting of Coastal Harmful Algae Blooms: Application to Shenzhen City, China".Journal of Marine Science and Engineering 7.9(2019).