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首页> 外文期刊>Advances in space research >Landsat ETM+ Secchi Disc Transparency (SDT) retrievals for Rawal Lake, Pakistan
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Landsat ETM+ Secchi Disc Transparency (SDT) retrievals for Rawal Lake, Pakistan

机译:巴基斯坦Rawal Lake的Landsat ETM + Secchi光盘透明度(SDT)检索

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Satellite imagery holds significant potential for monitoring regional lake water clarity. This study addresses the use of satellite data and ground observations for the assessment of Rawal Lake water clarity in Pakistan. Satellite data from Landsat sensor for the years 2009-2013 are used to model Secchi Disc Transparency (SDT). Landsat images within ±3 days of the measured SDT data is used for the development of a regression model. The results of this study show that ETM+ band3 and band1/band3 ratio is the reliable predictor of SDT with R~2 values of 0.725 and 0.793 respectively. The modeled SDT is further used to estimate the Trophic State Index (TSI) and trophic condition of Rawal Lake. In addition, the in situ Chlorophyll-a (Chl-a) and Total Phosphorus (TP) concentration are used to calculate the TSI of the Lake. The Mann-Kendall (MK) statistical test shows that the increasing trend in TSI based on SDT is significant (τ = 0.523). The trophic condition of Rawal Lake indicates that the Lake falls under the hypereutrophic category, that is, highly polluted and extremely unhealthy for the purpose of drinking.
机译:卫星图像具有监测区域湖泊水净度的巨大潜力。这项研究致力于利用卫星数据和地面观测资料评估巴基斯坦拉瓦尔湖的水净度。来自Landsat传感器的2009-2013年卫星数据用于模拟Secchi光盘透明度(SDT)。在测得的SDT数据的±3天内,Landsat图像用于建立回归模型。研究结果表明,ETM + band3和band1 / band3比值是SDT的可靠预测指标,R〜2值分别为0.725和0.793。建模的SDT进一步用于估算Rawal Lake的营养状态指数(TSI)和营养状况。此外,使用原位叶绿素a(Chl-a)和总磷(TP)浓度来计算湖泊的TSI。 Mann-Kendall(MK)统计检验表明,基于SDT的TSI的增长趋势非常明显(τ= 0.523)。拉瓦尔湖的营养状况表明该湖属于营养过剩类,也就是说,出于饮用目的,该湖被高度污染且极不健康。

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