摘要
以巢湖水华爆发现象为研究对象,利用多源光学遥感和全极化SAR遥感作为数据源,对研究区域2008—2017年的水华进行识别提取,定量和定性分析水华面积及区域位置的时空变化。结果表明:在时间上,每年二、三季度巢湖水华面积普遍高于一、四季度,总体上呈现年平均水华面积逐渐减小趋势,前五年的水华面积比后五年高。在空间上,巢湖西北部水华发生频率最高,西部水华比东部水华发生频率高,沿岸比湖中心发生频率高。巢湖水华整体呈现改善趋势。
The algal blooms in Chaohu Lake was identified and extracted using multi-source optical remote sensing and full-polarization SAR remote sensing as the data source from 2008 to 2017.The temporal and spatial variation of the algal blooms area and location were quantitatively and qualitatively analyzed.Results showed that,in time,the algal blooms area in the second and third quarters each year was generally larger than that in the first and fourth quarters.The annual average of algal blooms area had a general trend of decreasing,the algal blooms area in the first five years was larger than that in the last five years.In space,the frequency of algal blooms in the northwest of Chaohu Lake was the highest,it was higher in the west that in the east,and was higher along the lakeshore than in the center.The algal blooms in Chaohu Lake showed an overall improvement.
作者
何诗瑜
马晓双
吴艳兰
HE Shi-yu;MA Xiao-shuang;WU Yan-lan(School of Resources and Environmental Engineering,Anhui University,Hefei,Anhui 230601,China;Anhui Geographic Information Engineering Center,Hefei,Anhui 230601,China)
出处
《环境监测管理与技术》
CSCD
2019年第5期10-15,共6页
The Administration and Technique of Environmental Monitoring
基金
国家自然科学基金资助项目(41701390)
安徽省教育厅自然科学基金资助项目(KJ2017A037)
安徽省地理信息工程中心开放课题基金资助项目(Y01002577)
关键词
光学和雷达遥感
水华
长时序
时空变化
巢湖
Optical and radar remote sensing
Algal blooms
Long time sequence
Temporal and spatial variation
Chaohu Lake
作者简介
何诗瑜(1994—),女,安徽铜陵人,硕士,研究方向为环境资源管理;通信作者:马晓双,E-mail:mxs.88@163.com。
