摘要
本文利用阿哈湖国家湿地公园水库的实测水质数据,基于遥感技术和数理统计基本理论,结合Sentinel-2卫星的遥感数据,建立阿哈水库的总磷反演模型,同时分析总磷含量的时空特征及其与气象因子之间的相关性.结果表明:(1)利用Sentinel-2卫星的总磷反演模型取得了较为理想的总磷含量反演效果,基于统计理论的水质反演方法能够得到较好地反演结果.(2)总磷是阿哈水库主要污染指标之一,不同季节,总磷含量具有显著差异,其中,总磷含量在春夏季节明显高于秋冬季节.阿哈水库总磷含量总体上呈现东北区域和南部区域的河流入库口区域含量较高,水库中心区域总磷含量较低.
In this paper,we try to establish the total phosphorus inversion model for the water body of Aha Reservoir based on measured water quality data and remote sensing images getting from Sentinel-2.After that,we try to analyze the spatiotemporal characteristics of total phosphorus distribution and its correlation with meteorological factors.The results of this study show that:(1)the inversion model we established in the study can depict the spatial distribution of total phosphorus concentration with high accuracy.(2)Temporally,for different seasons,the average value of total phosphorus concentration is very different.The average value in spring or summer is significantly higher than that in autumn or winter.Spatially,higher value generally located in northeast and southern area where the river flows into the reservoir.Lower value mainly located in the center of the reservoir.
作者
李敬
王立
何成
陈骁强
王原
LI Jing;WANG Li;HE Cheng;CHEN Xiaoqiang;WANG Yuan(School of Geography and Tourism, Anhui Normal University, Wuhu, Anhui 241000, China;NEWECO Design Co., Ltd, Shanghai 200438, China;Department of Environmental Science and Engineering, Fudan University, Shanghai 200438, China)
出处
《复旦学报（自然科学版）》
CAS
CSCD
北大核心
2021年第2期200-206,共7页
Journal of Fudan University：Natural Science
基金
美国国家地理空气与水保护基金项目(GEFC29-16)。
关键词
总磷
遥感反演
库塘型湿地公园
水库
时空特征
total phosphorus
remote sensing
reservoir pond wetland park
reservoir
spatio-temporal pattern
