| 摘要: |
| 应用德国弗劳恩霍夫系统应用中心研制的多功能水下自走式监测与分析系统，以湖州市对河口水库、日照市青峰岭水库、南京市金牛山水库、秦淮河为试点，对上述水库及河流的多参数水质（溶解氧、电导率、铵盐含量、硝酸盐含量、温度）进行监测。基于所测数据，采用水下三维地形图、水质参数等值线图、分层切片图、纵向剖面图、水质参数散点图等方法，对上述水质参数在水体中的分布规律进行分析，对水下三维地形进行解释，对不同水质参数之间的相关关系进行一定探索。研究表明：在水库表面，溶解氧含量分布在空间上存在一定差异；硝酸盐含量分布在不同深度水体中差别很小，但在靠近底部时发生明显变化，与库底淤泥影响有关；随着水深的增加，水温逐渐降低；水面电导率值和硝酸盐、铵盐含量有一定的正相关关系，溶解氧和温度存在一定的负相关关系。应用结果表明：所测数据可快速生成水下地形及水质三维结构图，能较好地反应试点区域水情、水质的主体分布。 |
| 关键词: 水质监测 水下地形 水质参数 数据分析 |
| DOI： |
| 分类号:X832 |
| 基金项目:水利部“948”计划资助项目(201302)；水利部公益性行业科研专项经费资助项目(201301075，201501014)；水文水资源与水利工程科学国家重点实验室基本科研业务费资助项目(Y512010)；中央级公益性科研院所基本科研业务费专项资金资助项目(Y513002,Y515010) |
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| Data analysis and application on the basis of self propelled underwater monitoring system |
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WANG Lei-zhi, WANG Yin-tang, DENG Peng-xin, LIU Yong, CUI Ting-ting, HU Qing-fang
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State Key Laboratory of Hydrology Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing
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| Abstract: |
| By using the self-propelled underwater monitoring system developed by the German Fraunhofer Institute, five water quality parameters, namely dissolved oxygen, conductivity, ammonium, nitrate and temperature were measured in different reservoirs, including Qingfengling reservoir in Rizhao, Duihekou reservoir in Huzhou, Jinniushan reservoir and Qinhuai River in Nanjing. Based on the measured data, the regularities of parameter distribution, the underwater topography and the relationships between different parameters are analyzed, explained and explored with different methods including the underwater topograph graph, the water quality parameters contour map, the water quality slicing graph, the vertical profile and the water quality scatter plots. Several conclusions are drawn as follows: some differences exist in DO on the surface of the reservoir; there is a little difference between the distributions of nitrate at different depths except when it comes to the bottom of the lake, which may be caused by the silt on the riverbed; a dicreasing trend in the temperature from the surface to the bottom is observed; a positive correlation between the conductivity and nitrate/ammonium and a negative correlation between DO and temperature are both observed. The application results indicate that the measured data can rapidly generate 3D structural drawings of underwater topography and water quality which can reflect the main distribution of water quality and water regime. |
| Key words: water quality surveillance underwater topography water quality parameters data analysis |
