环境科学导刊
環境科學導刊
배경과학도간
Environmental Science Survey
2015年
6期
4-7
,共4页
神经网络模型%水华暴发%风险%预测%抚仙湖
神經網絡模型%水華暴髮%風險%預測%撫仙湖
신경망락모형%수화폭발%풍험%예측%무선호
artificial neural network%algal bloom%risk%predict%Fuxian Lake
使用神经网络模型预测水质符合不同国家水质标准的抚仙湖藻类生物量。当抚仙湖水质符合国家水质Ⅰ类标准时，浮游植物生物量预测值是40．19×104cell／L，几乎不存在水华暴发风险。当水质符合国家水质Ⅱ类标准时，浮游植物生物量预测值是79．51×104cell／L，水华暴发风险较小。抚仙湖水质降至Ⅲ类甚至劣于Ⅲ类时，浮游植物生物量预测值高于800．12×104cell／L，生物量预测值极高，存在较大的水华暴发风险。
使用神經網絡模型預測水質符閤不同國傢水質標準的撫仙湖藻類生物量。噹撫仙湖水質符閤國傢水質Ⅰ類標準時，浮遊植物生物量預測值是40．19×104cell／L，幾乎不存在水華暴髮風險。噹水質符閤國傢水質Ⅱ類標準時，浮遊植物生物量預測值是79．51×104cell／L，水華暴髮風險較小。撫仙湖水質降至Ⅲ類甚至劣于Ⅲ類時，浮遊植物生物量預測值高于800．12×104cell／L，生物量預測值極高，存在較大的水華暴髮風險。
사용신경망락모형예측수질부합불동국가수질표준적무선호조류생물량。당무선호수질부합국가수질Ⅰ류표준시，부유식물생물량예측치시40．19×104cell／L，궤호불존재수화폭발풍험。당수질부합국가수질Ⅱ류표준시，부유식물생물량예측치시79．51×104cell／L，수화폭발풍험교소。무선호수질강지Ⅲ류심지렬우Ⅲ류시，부유식물생물량예측치고우800．12×104cell／L，생물량예측치겁고，존재교대적수화폭발풍험。
The artificial neural network was used to predict the phytoplankton biomass of Fuxian Lake in different scenarios based on Chinese national water quality standards.The prediction results showed that a low biomass was 40. 19 ×104 cell/L when water quality of the lake accorded withⅠclass of the national water quality standard,which had no risk of algal bloom.The phytoplankton biomass was 79. 5 1 ×104 cell/L when the water quality accorded withⅡclass.It has little risk of algal bloom.However,a significant high abundance of phytoplankton biomass was predicted to 800. 12 ×104 cell/L when the water quality was belowⅢclass,which implied a big risk of the algal bloom.
