Using remotely sensed imagery to estimate potential annual pollutant loads in river basins.
Using remotely sensed imagery to estimate potential annual pollutant loads in river basins.
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DOI：
10.2166/wst.2009.596
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发表时间：
2009-10
期刊：
影响因子：
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通讯作者：
B. He;K. Oki;Yi Wang;T. Oki
中科院分区：
文献类型：
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作者：
B. He;K. Oki;Yi Wang;T. Oki
流域土地覆被变化导致全球地表水环境严重恶化，直接监测和数值模拟存在困难。因此，在气候变化和人类活动加剧的影响下，河流污染负荷预测是河流环境管理的关键。本研究分析了NOAA高级甚高分辨率辐射计（AVHRR）图像估计的土地覆盖类型与日本河流流域潜在年污染物负荷之间的关系。然后，一个经验的方法，估计每年的污染物负荷直接从卫星图像和水文数据，进行了研究。监测了总氮（TN）、总磷（TP）、悬浮泥沙（SS）、生化需氧量（BOD）、化学需氧量（COD）和溶解氧（DO）等6项水质指标。然后，在日本的30个流域的TN，TP，SS，BOD，COD和DO的污染物负荷进行了估计。结果表明，所提出的模拟技术可以用来预测在日本的河流流域的污染物负荷。这些结果可能是有用的，在确定总的最大年污染物负荷和制定最佳的管理策略，在流域尺度上的地表水污染。
Land cover changes around river basins have caused serious environmental degradation in global surface water areas, in which the direct monitoring and numerical modeling is inherently difficult. Prediction of pollutant loads is therefore crucial to river environmental management under the impact of climate change and intensified human activities. This research analyzed the relationship between land cover types estimated from NOAA Advanced Very High Resolution Radiometer (AVHRR) imagery and the potential annual pollutant loads of river basins in Japan. Then an empirical approach, which estimates annual pollutant loads directly from satellite imagery and hydrological data, was investigated. Six water quality indicators were examined, including total nitrogen (TN), total phosphorus (TP), suspended sediment (SS), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD), and Dissolved Oxygen (DO). The pollutant loads of TN, TP, SS, BOD, COD, and DO were then estimated for 30 river basins in Japan. Results show that the proposed simulation technique can be used to predict the pollutant loads of river basins in Japan. These results may be useful in establishing total maximum annual pollutant loads and developing best management strategies for surface water pollution at river basin scale.