Analysis of Water Quality Conditions of Lake Hachiroko Using Fuzzy C-Means
Analysis of Water Quality Conditions of Lake Hachiroko Using Fuzzy C-Means
复制标题
利用模糊C-均值分析八郎湖水质状况
DOI：
10.20965/jaciii.2019.p0456
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发表时间：
2019
期刊：
影响因子：
--
通讯作者：
Hiroshi Yokoyama
中科院分区：
文献类型：
--
作者：
Kai Matsui;Y. Kageyama;Hiroshi Yokoyama
日本八郎湖存在许多水质问题，绿藻大量繁殖等现象就可以证明这一点。了解湖泊地表水质的详细信息以及季节对水质的影响非常重要。在我们之前的研究中，我们对遥感数据进行了模糊回归分析，并直接测量了水质。结果表明，仅使用五个水质参数数据点就可以很好地创建水质估计图。为了获得与实验数据吻合较好的地图，应同时获取遥感数据和水质值。然而，进行这种同时观测可能会影响水质估计图的准备。我们通过使用模糊c均值聚类（FCM）克服了这个障碍，并考虑了特定干扰和不确定性对遥感数据的影响。此外，FCM 仅使用遥感数据创建估计地图，其中对相对水面条件进行分类。因此，确定 FCM 结果与水质之间的关系有助于创建低成本、高频的水质估计图。我们的结果表明，FCM 在水质分析过程中确定悬浮固体 (SS) 的存在特别有效。然而，FCM结果与水质之间的关系尚未详细确定。在这项研究中，我们利用 Terra 上的先进星载热发射和反射辐射计以及 Landsat-8 上的操作陆地成像仪收集的数据，通过 FCM 分析了八郎湖的水质状况。此外，将FCM结果与模糊回归分析创建的图和水污染的实际情况进行了比较。结果表明：(i) 使用 FCM 创建的地图可有效确定水面状况；(ii) 使用 8 月和 9 月获得的数据制作的 FCM 地图与生化需氧量 (BOD) 和 SS 具有很强的相关性；(iii) 使用 5 月和 6 月获得的数据制作的 FCM 地图与化学需氧量 (COD)、SS 和总氮 (T-N) 具有很强的相关性。
Lake Hachiroko, Japan, has many water quality issues, evident from phenomena such as green algae blooms. Understanding the details of the surface water quality of the lake, and the effect of seasons on the quality, is important. In our previous studies, we conducted fuzzy regression analysis of remote sensing data and direct measurements of water quality. The results showed that estimation maps of water quality were well created, using only five data points of the water quality parameters. To obtain maps that are in good agreement with the experimental data, remote sensing data and water quality values should be acquired simultaneously. However, performing such simultaneous observations can affect the preparation of the water quality estimation maps. We overcame this obstacle by using fuzzy c-means clustering (FCM), and considered the effect of specific disturbances and uncertainties on the remote sensing data. Furthermore, FCM using only remote sensing data creates estimation maps in which relative water surface conditions are classified. Therefore, determining the relationship between FCM results and water quality facilitates the creation of low-cost, high-frequency water quality estimation maps. Our results indicated that FCM was particularly effective in determining the presence of suspended solids (SS) during water quality analysis. However, the relationship between FCM results and water quality has not been determined in detail. In this study, we analyzed the water quality conditions of Lake Hachiroko with FCM using the data collected by the Advanced Space-borne Thermal Emission and Reflection Radiometer on Terra and, the Operational Land Imager on Landsat-8. In addition, FCM results were compared with the maps created by fuzzy regression analysis and the actual conditions of water pollution. The results indicated that (i) the maps created using FCM are effective in determining the water surface conditions, (ii) the FCM maps using data obtained during August and September have a strong relationship with biochemical oxygen demand (BOD) and SS, and (iii) the FCM maps using data obtained during May and June have a strong relationship with chemical oxygen demand (COD), SS, and total nitrogen (T-N).
DOI：
10.1016/j.isprsjprs.2008.04.005
发表时间：
2009-01-01
影响因子：
12.7
作者：
Oyama, Youichi;Matsushita, Bunkei;Imai, Akio
通讯作者：
Imai, Akio