Using Remote Sensing of Land Cover Change in Coastal Watersheds to Predict Downstream Water Quality
Using Remote Sensing of Land Cover Change in Coastal Watersheds to Predict Downstream Water Quality
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DOI：
10.2112/jcoastres-d-11-00176.1
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发表时间：
2012-07-01
影响因子：
--
通讯作者：
Klemas, Victor
中科院分区：
文献类型：
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作者：
Huang, Jinliang;Klemas, Victor
Huang，J.和Klemas，V.，2012.利用沿海流域土地覆盖变化遥感预测下游水质。Journal of Coastal Research，28（4），930-944.西棕榈滩（佛罗里达），ISSN 0749- 0208。土地覆盖和土地利用数据是流域评估和径流模拟的重要数据。卫星和机载遥感器可以有效地绘制土地覆盖/使用图。只要土地覆被/使用与径流水质之间存在密切联系，遥感土地覆被趋势就可帮助预测下游河口和海湾的水和生境质量的长期变化。本文回顾了土地覆盖变化监测的实用遥感技术，并提出了一个案例研究，涉及土地覆盖/使用，景观格局，时间尺度的径流水质在中国东南沿海流域。案例研究的结果表明，建成区土地的百分比是一个很好的预测下游水质和NH 4 +-N，CODMn，景观变量之间的联系在降水量多的年份是强于降水量少的年份。
Huang, J. and Klemas, V., 2012. Using remote sensing of land cover change in coastal watersheds to predict downstream water quality. Journal of Coastal Research, 28(4), 930-944. West Palm Beach (Florida), ISSN 0749-0208.Land cover and land use data are important for watershed assessment and runoff modeling. Satellite and airborne remote sensors can map land cover/use effectively. Whenever a strong linkage exists between land cover/use and runoff water quality, remotely sensed land cover trends can help predict long-term changes in water and habitat quality of downstream estuaries and bays. This paper reviews practical remote sensing techniques for land cover change monitoring and presents a case study that relates land cover/use, landscape patterns, and temporal scales to the water quality of runoff from a coastal watershed in SE China. The results of the case study show that the percentage of built-up land was a good predictor for downstream water quality and that the linkage among NH4+-N, CODMn, and landscape variables during wet precipitation years was stronger than during dry precipitation years.