Indexing metadata

Coupling Universal Soil Loss Equation and GIS Techniques for Estimation of Soil Loss and Sediment Yield in Algash Basin


 
Dublin Core PKP Metadata Items Metadata for this Document
 
1. Title Title of document Coupling Universal Soil Loss Equation and GIS Techniques for Estimation of Soil Loss and Sediment Yield in Algash Basin
 
2. Creator Author's name, affiliation, country Issamaldin Mohammed; Department of Remote Sensing, Dams Implementation Unit, Khartoum, Sudan
 
2. Creator Author's name, affiliation, country Hatim Nuh; Department of Remote Sensing, Dams Implementation Unit, Khartoum, Sudan
 
2. Creator Author's name, affiliation, country Ahmed Abdalla; Department of Surveying Engineering, Faculty of Engineering, University of Khartoum, Khartoum, Sudan
 
2. Creator Author's name, affiliation, country (doi: 10.23953/cloud.ijarsg.36)
 
3. Subject Discipline(s)
 
3. Subject Keyword(s) Algash Basin; GIS, Remote Sensing; soil erosion; sedimentation; soil loss; USLE
 
4. Description Abstract

Soil erosion is a global problem which has social, environmental and economical adverse effects. Soil erosion reduces soil productivity and water quality, therefore this study was conducted as an effort to estimate the average and total soil loss and moreover the total sediment yield in Algash water basin which extends from Eritrea to the downstream in east of Sudan. The study utilized from GIS and remote sensing to analyze the soil loss, based on Universal Soil Loss Equation (USLE), this model is one of the most widespread models are used for soil loss estimation. Soil erosion was determined as function of five parameters using USLE, the rainfall erosivity factor (R) was estimated from annual mean rainfall for last 8 years, the soil erodiblity factor (K) was determined based on soil characteristics, topographic factor (LS) was estimated using SRTM, the forth factor is crop management factor (C) and it was estimated using Normalized Difference Vegetation Index (NDVI) and the support practice factor (P) was estimated using derived slope data and a produced land cover map. Based on the above analysis the annual average soil loss ranged from zero to 118.86 ton/ha.year per pixel and the total soil loss from the whole study area was found to be 32,916,840.87 ton/ha.year.
 
5. Publisher Organizing agency, location
 
6. Contributor Sponsor(s)
 
7. Date (YYYY-MM-DD) 2017-03-21
 
8. Type Status & genre Peer-reviewed Article
 
8. Type Type
 
9. Format File format PDF
 
10. Identifier Uniform Resource Identifier http://technical.cloud-journals.com/index.php/IJARSG/article/view/Tech-706
11. Source Journal/conference title; vol., no. (year) International Journal of Advanced Remote Sensing and GIS; Volume 6 (Year 2017)
 
12. Language English=en en
 
14. Coverage Geo-spatial location, chronological period, research sample (gender, age, etc.)
 
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.