An improved ecological model and software for short-term algal bloom forecasting

  • Authors:

  • Hongju Zhang;Weiping Hu;Kai Gu;Qinqin Li;Daolin Zheng;Shuhua Zhai

  • Affiliations:

  • State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China and Graduate School of Chinese Academy of Sciences, Beijing 100039, C ...;State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China;Shanghai Praya Software Limited Company, 201 Ningxia Road, Shanghai 200063, China;State Key Laboratory of Lake Science and Environment, Chinese Academy of Sciences, 73 East Beijing Road, Nanjing 210008, China;Shanghai Praya Software Limited Company, 201 Ningxia Road, Shanghai 200063, China;Water Resources Conservation Bureau, Taihu Basin Authority, MWR, 480 Jilian Road, Shanghai 200434, China

  • Venue:
  • Environmental Modelling & Software
  • Year:
  • 2013

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Abstract

Harmful algal blooms (HABs) have been widely reported and have become a serious environmental problem worldwide due to their negative impacts on aquatic ecosystems, fisheries, and human health. To predict algal blooms in Lake Taihu, a Windows-based Software integrating the EcoTaihu model (WSE) was developed. The WSE encapsulated external functions, boundary conditions, and parameter settings of the EcoTaihu model and the water-quality data and satellite remote sensing data assimilation modules. The outputs of the WSE prediction were generally consistent with the observations. The user-friendly graphic user interface of WSE was direct-viewing and convenient to operate. In addition, the prediction can be viewed through the webpage for HAB risk evaluation.