CAJ | 학술논문

利用光谱分光分析法（紫光VIS、中红外MIR）、全球卫星定位技术（GPS）、数值地理信息（GIS）技术，创建一种对太湖水质进行在线监测系统。该监测系统可实现快速、准确、连续、廉价、直观地获取蓝藻影响因子总氮(TN)、总磷(TP)及叶绿素a信息，并通过建立的监测数据与蓝藻动态相关的数学模型，输出对蓝藻动态的判断结果。系统为太湖蓝藻的监测和预警提供了全新手段，为政府和环境监测相关部门快速掌握太湖蓝藻动态和决策提供支持。
이용광보분광분석법（자광VIS、중홍외MIR）、전구위성정위기술（GPS）、수치지리신식（GIS）기술，창건일충대태호수질진행재선감측계통。해감측계통가실현쾌속、준학、련속、렴개、직관지획취람조영향인자총담(TN)、총린(TP)급협록소a신식，병통과건립적감측수거여람조동태상관적수학모형，수출대람조동태적판단결과。계통위태호람조적감측화예경제공료전신수단，위정부화배경감측상관부문쾌속장악태호람조동태화결책제공지지。
Technologies of analytical spectrophotometry (violet VIS, near-infrared NIR, mid-infrared MIR), global positioning system (GPS) and the geographic information system(GIS) are employed to design and implement a water quality monitoring system for Taihu Lake. The system is able to obtain and process relevant effect information of TN,TP and chlorophylla on cyanobacteria in a rapid, accurate, continuous and intuitive way. A mathematical model of cyanobacteria movement is then built based on the monitor data. The decisive result of cyanobacteria movement is finally output. The system offers a new means for monitoring and warning cyanobacteria in Taihu Lake. It can also provide government and relevant departments of environmental monitoring with support for rapidly mastering cyanobacteria movement and making a strategic decision..