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| 基于遥感方法的巢湖水华月平均强度评价方法研究 |
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| DOI： |
| 中文关键词: 水华 强度评价 遥感 巢湖 |
| 英文关键词: Algal blooms Intensity evaluation Remote sensing Chaohu Lake |
| 基金项目:国家重点研发计划“城乡生态环境综合检测空间信息服务及应用示范”（2017YFB0503900）子课题“城镇水体水质高分遥感与地面协同监测关键技术研究”基金资助项目(2017YFB0503902)；国家水体污染控制与治理科技重大专项基金资助项目(2017ZX07302-003) |
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| 中文摘要: |
| 以巢湖2009—2017年，每年4—10月(共63个月)的地面和遥感监测结果的日平均值作为基础数据，分别对地面和遥感监测指标求月平均值，根据各指标间的相关性，最终确定巢湖水华月平均强度评价的指标为藻密度、月累计水华面积、平均水华面积和大面积次数，对这4个指标分别采用分级赋分的方法进行评分，总评分等于4个指标评分之和，依据总评分的结果，将巢湖水华强度由弱至强分为5个等级。依据该评价方法，巢湖水华强度从4月—9月，基本由弱至强呈上升趋势，中间偶有波动，在9月前后达到峰值，水华强度一般为较强至强。 |
| 英文摘要: |
| Based on the daily average of ground and remote sensing monitoring results of Chaohu Lake from April to October (63 months in total) every year from 2009 to 2017， the monthly average of ground and remote sensing monitoring indicators were calculated respectively. According to the correlation between the indicators， the monthly average strength evaluation indexes of algal blooms in Chaohu Lake were finally determined to be algae density， monthly accumulated algal bloom area， average algal bloom area and number of large areas. These four indicators were scored respectively by grading and scoring method. The total score was the sum of the scores from the four indicators. According to the total score， the algal bloom intensity in Chaohu Lake was divided into five grades from weak to strong. By the evaluation method， the algal bloom intensity in Chaohu Lake increased from April to September， occasionally fluctuated， and peaked in September. The algal bloom intensity was sub strong to strong. |
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