Improving the catchment scale wetland modeling using remotely sensed data
Improving the catchment scale wetland modeling using remotely sensed data
复制标题
DOI：
10.1016/j.envsoft.2017.11.001
复制
发表时间：
2017-11
期刊：
影响因子：
--
通讯作者：
S. Lee;I. Yeo;M. Lang;G. McCarty;A. Sadeghi;A. Sharifi;Huiran Jin;Yongbo Liu
中科院分区：
文献类型：
--
作者：
S. Lee;I. Yeo;M. Lang;G. McCarty;A. Sadeghi;A. Sharifi;Huiran Jin;Yongbo Liu
本研究提出了一个综合湿地流域建模方法，利用洪水图和地理空间数据，以提高湿地淹没的空间预测和评估其预测的不确定性。我们概述了数据准备和参数化用于模拟湿地内（半）分布式流域模型通常产生的问题。我们演示了如何湿地淹没可以更好地捕捉从遥感数据开发的湿地参数。然后，我们强调评估模型的预测，使用来自遥感数据的洪水图。这种综合建模方法进行了测试，使用土壤和水资源评估工具（SWAT）与改进的河岸湿地（RWs）的扩展，在美国大西洋中部沿海平原的农业流域。这项研究说明了如何空间分布的信息是必要的，以预测淹没的湿地和水文功能在当地景观尺度，监测和保护决策发生。
This study presents an integrated wetland-watershed modeling approach that capitalizes on inundation maps and geospatial data to improve spatial prediction of wetland inundation and assess its prediction uncertainty. We outline problems commonly arising from data preparation and parameterization used to simulate wetlands within a (semi-) distributed watershed model. We demonstrate how wetland inundation can be better captured by the wetland parameters developed from remotely sensed data. We then emphasize assessing model prediction using inundation maps derived from remotely sensed data. This integrated modeling approach is tested using the Soil and Water Assessment Tool (SWAT) with an improved riparian wetlands (RWs) extension, for an agricultural watershed in the Mid-Atlantic Coastal Plain, US. This study illustrates how spatially distributed information is necessary to predict inundation of wetlands and hydrologic function at the local landscape scale, where monitoring and conservation decision making take place.