Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments
Study region: 21 River Basins comprising 1749 Catchments within India. Study focus: The morphometric attributes related to the channel network topology of a catchments are derived as functions of the emergence of the 1st, 2nd and 3rd bifurcation nodes of the network. These attributes are found to ha...
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| Format: | Article |
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Elsevier
2025-08-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825003283 |
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| author | Saroj Rana Sagar Rohidas Chavan |
| author_facet | Saroj Rana Sagar Rohidas Chavan |
| author_sort | Saroj Rana |
| collection | DOAJ |
| description | Study region: 21 River Basins comprising 1749 Catchments within India. Study focus: The morphometric attributes related to the channel network topology of a catchments are derived as functions of the emergence of the 1st, 2nd and 3rd bifurcation nodes of the network. These attributes are found to have influence on the shape of width function and hydrologic responses from catchments. There is a dearth of attempts to utilize these attributes in hydro-geomorphological applications, may be due to the complexity involved in their extraction owing to lack of any algorithmic procedure. This study is envisaged to develop an easy-to-use and time efficient Python based GIS code/tool named as Morph_CNeT within ArcGIS framework which provides an algorithmic way to extract the morphometric attributes. New hydrological insights for the region: Morph_CNeT is utilized to derive topological attributes for 1749 hydrological observation sites belonging to 21 river basins within India to build a repository titled “Morph_CNeT-India”. Subsequently, the attributes are used to classify the catchments into several types of network topology as a function of the relative positions of first 3 internal nodes as well as their distances from the outlets. Finally, the empirical width functions constructed based on the morphometric attributes are shown to capture the multi-peaked behaviour of hydrographs to highlight significance of the attributes. The repository of morphometric attributes can form the basis for carrying out several hydro-geomorphological investigations. |
| format | Article |
| id | doaj-art-88d7879e863543cc98e0ff48b6bc98e4 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-88d7879e863543cc98e0ff48b6bc98e42025-08-20T03:31:28ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-08-016010250310.1016/j.ejrh.2025.102503Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchmentsSaroj Rana0Sagar Rohidas Chavan1Department of Civil Engineering, Indian Institute of Technology Ropar, Punjab 140001, IndiaCorresponding author.; Department of Civil Engineering, Indian Institute of Technology Ropar, Punjab 140001, IndiaStudy region: 21 River Basins comprising 1749 Catchments within India. Study focus: The morphometric attributes related to the channel network topology of a catchments are derived as functions of the emergence of the 1st, 2nd and 3rd bifurcation nodes of the network. These attributes are found to have influence on the shape of width function and hydrologic responses from catchments. There is a dearth of attempts to utilize these attributes in hydro-geomorphological applications, may be due to the complexity involved in their extraction owing to lack of any algorithmic procedure. This study is envisaged to develop an easy-to-use and time efficient Python based GIS code/tool named as Morph_CNeT within ArcGIS framework which provides an algorithmic way to extract the morphometric attributes. New hydrological insights for the region: Morph_CNeT is utilized to derive topological attributes for 1749 hydrological observation sites belonging to 21 river basins within India to build a repository titled “Morph_CNeT-India”. Subsequently, the attributes are used to classify the catchments into several types of network topology as a function of the relative positions of first 3 internal nodes as well as their distances from the outlets. Finally, the empirical width functions constructed based on the morphometric attributes are shown to capture the multi-peaked behaviour of hydrographs to highlight significance of the attributes. The repository of morphometric attributes can form the basis for carrying out several hydro-geomorphological investigations.http://www.sciencedirect.com/science/article/pii/S2214581825003283Topology of channel networksMorphometric attributesMorph_CNeTIndian river basinsWidth function |
| spellingShingle | Saroj Rana Sagar Rohidas Chavan Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments Journal of Hydrology: Regional Studies Topology of channel networks Morphometric attributes Morph_CNeT Indian river basins Width function |
| title | Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments |
| title_full | Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments |
| title_fullStr | Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments |
| title_full_unstemmed | Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments |
| title_short | Morph_CNeT: A new GIS tool to extract morphometric attributes characterising channel network topology of Indian catchments |
| title_sort | morph cnet a new gis tool to extract morphometric attributes characterising channel network topology of indian catchments |
| topic | Topology of channel networks Morphometric attributes Morph_CNeT Indian river basins Width function |
| url | http://www.sciencedirect.com/science/article/pii/S2214581825003283 |
| work_keys_str_mv | AT sarojrana morphcnetanewgistooltoextractmorphometricattributescharacterisingchannelnetworktopologyofindiancatchments AT sagarrohidaschavan morphcnetanewgistooltoextractmorphometricattributescharacterisingchannelnetworktopologyofindiancatchments |