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- Title
Geomatics-based water capacity monitoring for Quake Lake and its web service implementation.
- Authors
Jianzhong Lu; Xiaoling Chen; Xiaobin Cai; Lian Feng
- Abstract
A novel geomatics-based dynamic lake or reservoir water capacity computing method is proposed for mountainous area, where the water surface curves with the slope of the topography. This water capacity monitoring framework supported by web service technology was designed and implemented for a geospatial processing service. A pixel-based method to model a three-dimensional water surface was created to monitor total capacity including the dynamic capacity. First, the upstream areas are extracted from geometrically corrected SPOT-5 satellite image. The riverbed digital elevation model was intersected with the upstream area to obtain the boundary consisting of a set of points with altitude values for the water body. Considering rationality and efficiency, an improved, pixelbased river segmentation algorithm was then developed and implemented. Taking Tangjiashan Quake Lake dammed by landslide sandstone after the Wenchuan Earthquake in China in 2008 as an example, an evaluation indicates that the improved pixel-based river segmentation algorithm has the advantages of higher computational efficiency and accuracy, useful for daily monitoring of lake or reservoir water capacity in mountainous regions. Finally, water capacity monitoring models were decomposed to atomic services, to support data sharing and service model interoperability by web service. The reusable atomic services were freely customized and combined to execute water capacity calculations for different data-sets. The web service implementation experiment demonstrated powerful interoperability and remotely processing between multiusers in this geomaticsbased water capacity monitoring system, which can be implemented on interplatform. It provides a general mechanism to allow client to perform distributed geospatial processing in GeoSpatial Web Service.
- Subjects
EARTHQUAKE Lake (Mont.); GEOMATICS; WEB services; TOPOGRAPHICAL databases; RIVER channels; MANAGEMENT
- Publication
Desalination & Water Treatment, 2014, Vol 52, Issue 13-15, p2700
- ISSN
1944-3994
- Publication type
Article
- DOI
10.1080/19443994.2013.822638