摘要
以成都市金马河温江段为研究对象,基于高分二号遥感影像数据,分析其水质变化情况。研究选取了2016年和2018年2个时段的金马河温江段水体,用经验法对叶绿素a、总磷、总氮、高锰酸盐、悬浮物浓度及透明度共6项水质指标进行反演,对反演结果进行差值计算,分析各指标的浓度变化,得出2016年金马河综合营养状态指数范围为40. 91~42. 92,2018年为40. 48~43. 38,两期的水质状况无显著差异,且都处于中营养状态。
Taking the Wenjiang section of the Jinma River as research object,this paper analyzed the water quality changes based on the GF-2 satellite remote sensing images. We take the water data of the Wenjiang section of the Jinma River in 2016 and 2018,and the empirical method is used to invert its various indicators,including chlorophyll a,total phosphorus,total nitrogen,permanganate,suspended matter concentration,and transparency.Then the results of the inversion of water quality in different periods are calculated with the method of subtraction. We finally analyzed the concentration changes of each indicator. It shows that the Jinma River comprehensive nutrition status index in 2016 is between 40. 91 and 42. 92,and in 2018,the index is between 40. 48 and 43. 38.These data indicate that the water quality of the Jinma River in both periods is in a mesotrophic status and has relatively little changes.
作者
谭小琴
罗勇
赵铮
甘先霞
张洪吉
陈建华
TAN Xiao-qin;LUO Yong;ZHAO Zheng;GAN Xian-xia;ZHANG Hong-ji;CHEN Jian-hua(Institute of Natural Resource Sciences of Sichuan Provence,Chengdu 610015,China;College of Geophysics,Chengdu University of Technology,Chengdu 610059,China)
出处
《环境生态学》
2020年第7期29-36,共8页
Environmental Ecology
基金
四川省重点研发计划项目“流域水环境风险管控系统研究”(2017SZ0173)
省院省校合作项目“重点生态功能区生态资产评估与管理关键技术”(2020YFSY0005)资助。
