SCS CN Runoff Estimation for Vindhyachal Region using Remote Sensing and GIS
| Dublin Core | PKP Metadata Items | Metadata for this Document | |
| 1. | Title | Title of document | SCS CN Runoff Estimation for Vindhyachal Region using Remote Sensing and GIS |
| 2. | Creator | Author's name, affiliation, country | Anubha Topno; GIS Cell, Department of Civil Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India |
| 2. | Creator | Author's name, affiliation, country | Singh A.K.; GIS Cell, Department of Civil Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India |
| 2. | Creator | Author's name, affiliation, country | Vaishya R.C.; GIS Cell, Department of Civil Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India |
| 3. | Subject | Discipline(s) | Phd |
| 3. | Subject | Keyword(s) | Geographical Information System (GIS); Hydrological Soil Group (HSG); Land Cover/Land Use (LCLU); SCS CN; Runoff |
| 3. | Subject | Subject classification | GIS and Remote sensing |
| 4. | Description | Abstract |
For the effective management of watershed accurate understanding of hydrological behavior is needed and is required. Estimation of runoff from storm rainfall is frequently needed for water resource planning and environmental impact analysis. Among the most basic challenges of hydrology are the prediction and quantification of catchment surface runoff. Remote sensing (RS) and Geographic information system (GIS) can be effectively used to manage spatial and non-spatial database that represent the hydrologic characteristics of the watershed. The Land use and Land Cover map, Soil map, Rainfall data are collected from different sources and processed. The weighted Curve numbers were determined based on antecedent moisture condition with an integration of hydrologic soil groups and land use/ land cover classes. The study area shows that 40% of area falls under high CN value which interprets in more runoff to the study area. The annual runoff depth for catchment was computed for this un-gauge catchment area. The study reveals that the SCS-CN model can be used to estimate surface runoff depth when adequate hydrological information is not available. |
| 5. | Publisher | Organizing agency, location | |
| 6. | Contributor | Sponsor(s) | |
| 7. | Date | (YYYY-MM-DD) | 2015-08-28 |
| 8. | Type | Status & genre | Peer-reviewed Article |
| 8. | Type | Type | GIS based approach |
| 9. | Format | File format | |
| 10. | Identifier | Uniform Resource Identifier | http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-431 |
| 11. | Source | Journal/conference title; vol., no. (year) | International Journal of Advanced Remote Sensing and GIS; Volume 4 (Year 2015) |
| 12. | Language | English=en | en |
| 14. | Coverage | Geo-spatial location, chronological period, research sample (gender, age, etc.) | Vindhyanchal |
| 15. | Rights | Copyright and permissions |
Copyright Terms & Conditions Authors who publish with this journal agree to the following terms: a. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal. b. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal. c. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work Cloud Publications reserves the right to amend/change the copyright policy; with/without notice.
|