Arid
DOI10.1016/j.cageo.2016.06.012
New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script
Omran, Adel1,4,5; Dietrich, Schroeder2; Abouelmagd, Abdou3; Michael, Maerker4,5
通讯作者Omran, Adel
来源期刊COMPUTERS & GEOSCIENCES
ISSN0098-3004
EISSN1873-7803
出版年2016
卷号94页码:140-149
英文摘要

Damages caused by flash floods hazards are an increasing phenomenon, especially in arid and semi-arid areas. Thus, the need to evaluate these areas based on their flash flood risk using maps and hydrological models is also becoming more important. For ungauged watersheds a tentative analysis can be carried out based on the geomorphometric characteristics of the terrain. To process regions with larger watersheds, where perhaps hundreds of watersheds have to be delineated, processed and classified, the overall process need to be automated. GIS packages such as ESRI’s ArcGIS offer a number of sophisticated tools that help regarding such analysis. Yet there are still gaps and pitfalls that need to be considered if the tools are combined into a geoprocessing model to automate the complete assessment workflow. These gaps include issues such as i) assigning stream order according to Strahler theory, ii) calculating the threshold value for the stream network extraction, and iii) determining the pour points for each of the nodes of the Strahler ordered stream network. In this study a complete automated workflow based on ArcGIS Model Builder using standard tools will be introduced and discussed. Some additional tools have been implemented to complete the overall workflow. These tools have been programmed using Python and Java in the context of ArcObjects. The workflow has been applied to digital data from the southwestern Sinai Peninsula, Egypt. An optimum threshold value has been selected to optimize drainage configuration by statistically comparing all of the extracted stream configuration results from DEM with the available reference data from topographic maps. The code has succeeded in estimating the correct ranking of specific stream orders in an automatic manner without additional manual steps. As a result, the code has proven to save time and efforts; hence it’s considered a very useful tool for processing large catchment basins. (C) 2016 Elsevier Ltd. All rights reserved.


类型Article
语种英语
国家Egypt ; Germany
收录类别SCI-E
WOS记录号WOS:000381325700015
WOS关键词DIGITAL ELEVATION DATA ; DRAINAGE NETWORKS ; CHANNEL NETWORKS ; MODEL ; GEOMORPHOLOGY
WOS类目Computer Science, Interdisciplinary Applications ; Geosciences, Multidisciplinary
WOS研究方向Computer Science ; Geology
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/192146
作者单位1.Suez Univ, Fac Petr & Min Engn, Dept Sci & Math Engn, Suez, Suez Governorat, Egypt;
2.Univ Appl Sci Stuttgart, Dept Geomat Comp Sci & Math, Stuttgart, Germany;
3.Suez Canal Univ, Dept Geol, Ismailia 41522, Egypt;
4.Heidelberger Akad Wissensch, Heidelberg, Germany;
5.Univ Tubingen, Inst Geog, Tubingen, Germany
推荐引用方式
GB/T 7714
Omran, Adel,Dietrich, Schroeder,Abouelmagd, Abdou,et al. New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script[J],2016,94:140-149.
APA Omran, Adel,Dietrich, Schroeder,Abouelmagd, Abdou,&Michael, Maerker.(2016).New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script.COMPUTERS & GEOSCIENCES,94,140-149.
MLA Omran, Adel,et al."New ArcGIS tools developed for stream network extraction and basin delineations using Python and java script".COMPUTERS & GEOSCIENCES 94(2016):140-149.
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