基于GF-2影像的苏州市区水质遥感监测

城市水体水质遥感监测是治理城市水体水质遥感监测是治理城市水环境污染的重要基础，也是城市生态系统建设的重要组成部分。本文基于GF-2影像，建立城市水体水质参数反演模型，对2015年-2017年苏州市区水体的叶绿素a浓度、悬浮物浓度、透明度三种水质参数进行遥感监测，分析了苏州市城市水体水质参数的时空变化特征并且对苏州市水环境进行了评价。结果表明，苏州市区水体叶绿素a浓度整体偏高，但平均水平逐年降低。各个市辖区城市河道平均叶绿素a浓度相差不大。大型河流湖泊中，虎丘湿地叶绿素a的平均含量在2015年-2017年间均处于最高水平。三年间市区城市河道的平均悬浮物浓度降低明显，悬浮物浓度较高的河道均主要集中在虎丘区。大型湖泊的悬浮物浓度不高，逐年降低明显。盛泽湖的平均悬浮物浓度最低，透明度最高。京杭运河的悬浮物浓度一直保持在最高水平，且变化不大，吴淞江汇入京杭运河部分水体悬浮物浓度偏高。2016年元河塘悬浮物浓度突然增高并在2017年有所降低，但仍高于2015年。透明度的分布变化趋势与悬浮物浓度相反，符合常规规律。苏州市区水质逐年改善，但仍水质情况仍不容乐观。京杭运河、元河塘、虎丘湿地由于人为活动导致水质较差，今后需进行重点监测与治理。其余河流湖泊水质均逐年改善，盛泽湖的水质处于最优水平。根据相关资料查阅，遥感监测苏州市区水体水质情况符合实际情况，GF-2影像能有效地反演城市水体的水质参数信息并显示其分布变化规律。

Remote Sensing Monitoring of Water Quality in Suzhou Urban Area Based on Gf-2 Image

Remote sensing monitoring of urban water quality is an important basis for urban water pollution control and an important part of urban ecosystem construction. Based on GF-2 images, this paper established an inversion model of urban water quality parameters, and carried out remote sensing monitoring of chlorophyll a concentration, sus-pension concentration and transparency of urban water quality parameters in suzhou from 2015 to 2017. It analyzed the spatiotemporal variation characteristics of water quality parameters in suzhou city and evaluated the water environment in suzhou city. The results showed that the concentration of chlorophyll a in suzhou urban water was higher overall, but the average level decreased year by year.The average of chlorophyll a concentration in urban river channels varies little in each municipal district. In large rivers and lakes, the average of chlorophyll-a in huqiu wetland was at the highest level from 2015 to 2017.In three years, the average suspended substance concentration in urban river channels decreased significantly, and the rivers with high suspended substance concentration were mainly concentrated in huqiu district. The suspended substance concentration in large lakes is not high, but de-creases obviously year by year. The average suspended substance concentration in shengze lake is the lowest and the transparency is the highest. The suspended substance concentration of beijing-hangzhou canal has been kept at the highest level, and the change is not big. In 2016, the suspended substance concentration in yuanhetang suddenly increased and decreased in 2017, but it was still higher than that in 2015.The distribution trend of transparency is contrary to the concentration of suspended substance, which is in accordance with the general rule. The water quality in suzhou city has been improving year by year, but the situation is still not optimistic. The water quality of beijing-hangzhou canal, yuanhetang and huqiu wetland is poor due to human activities, so we must focus on monitoring and managing them in the future. The water quality of other rivers and lakes has been improved year by year, and the water quality of shengze lake is at the optimal level. According to relevant data, remote sensing monitoring of water quality in urban areas of suzhou conforms to the actual situation, and GF-2 image can effec-tively invert the information of urban water quality parameters and show their distribution change rules.