Kerala State Pollution Control Board, Head Office, Pattom P. O., Thiruvananthapuram, Kerala, India.
Environ Monit Assess. 2011 Jun;177(1-4):575-92. doi: 10.1007/s10661-010-1658-2. Epub 2010 Sep 14.
Water pollution has now become a major threat to the existence of living beings and water quality monitoring is an effective step towards the restoration of water quality. Lakes are versatile ecosystems and their eutrophication is a serious problem. Carlson Trophic State Index (CTSI) provides an insight into the trophic condition of a lake. CTSI has been modified for the study area and is used in this study. Satellite imagery analysis now plays a prominent role in the quick assessment of water quality in a vast area. This study is an attempt to assess the trophic state index based on secchi disk depth and chlorophyll a of a lake system (Akkulam-Veli lake, Kerala, India) using Indian Remote Sensing (IRS) P6 LISS III imagery. Field data were collected on the date of the overpass of the satellite. Multiple regression equation is found to yield superior results than the simple regression equations using spectral ratios and radiance from the individual bands, for the prediction of trophic state index from satellite imagery. The trophic state index based on secchi disk depth, derived from the satellite imagery, provides an accurate prediction of the trophic status of the lake. IRS P6-LISS III imagery can be effectively used for the assessment of the trophic condition of a lake system.
水污染现已成为生物生存的主要威胁，而水质监测是水质恢复的有效措施。湖泊是多功能的生态系统，其富营养化是一个严重的问题。卡尔森营养状态指数（CTSI）提供了湖泊营养状况的深入了解。已针对研究区域对 CTSI 进行了修正，并在本研究中使用。卫星图像分析在大面积水质快速评估方面发挥着重要作用。本研究试图利用印度遥感卫星（IRS）P6 LISS III 图像，根据湖泊系统（印度喀拉拉邦的阿卡鲁姆-韦利湖）的视程深度和叶绿素 a 来评估基于卡尔森营养状态指数。在卫星过境当天采集了实地数据。与使用单个波段的光谱比值和辐射相比，多元回归方程在预测卫星图像中的营养状态指数方面产生了更好的结果。基于卫星图像的视程深度得出的营养状态指数，可准确预测湖泊的营养状况。IRS P6-LISS III 图像可有效用于评估湖泊系统的营养状况。
