The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
PAP/CAR-Based Water Erosion Analysis in the Oued Lakhdar Watershed: A GIS and Remote Sensing Approach
|
|
Author(s): Rachid Laaouidi (Faculté des Sciences Humaines et Sociales, Université Ibn Tofail, Morocco), Siham Roudani (Faculté des Sciences Humaines et Sociales, Université Ibn Tofail, Morocco), Mouhcine Batchi (Faculté des Sciences Humaines et Sociales, Université Ibn Tofail, Morocco)and Zakariae Amhani (Faculté des Sciences Humaines et Sociales, Université Ibn Tofail, Morocco)
Copyright: 2025
Pages: 38
Source title:
Remote Sensing and GIS Techniques in Hydrology
Source Author(s)/Editor(s): Mouhcine Batchi (Ibn Tofail University, Morocco)and Adil Moumane (University of Ibn Tofail, Morocco)
DOI: 10.4018/979-8-3693-9651-3.ch010
Purchase
|
Abstract
This work is the result of a qualitative assessment of water erosion in the Oued Lakhdar watershed, located within the larger Oum Erbia watershed. The PAP/CAR model and geomatic tools were used for this evaluation. The Oum Erbia watershed, spanning 1664 km2, experiences severe erosion due to factors such as heavy and aggressive rainfall, steep slopes, sparse vegetation, and the predominance of soft rocks. Human activities, including deforestation, vegetation degradation, and inappropriate agricultural practices, have further exacerbated the erosion problem in the Oued Lakhdar watershed. The PAP/CAR method allowed for a qualitative assessment of erosion throughout the entire watershed and the identification of priority erosion zones. Data analysis using the PAP/CAR method revealed five main erosion states: extreme erosion (20.57%), strong erosion (18.56%), moderate erosion (23.02%), notable erosion (27.02%), and weak erosion (10.84%). In total, 62.15% of the watershed experiences moderate to extreme erosion.
Related Content
|
R. N. Ravikumar, S. Aarthi, Valisher Sapayev, Alijon Esanov.
© 2026.
32 pages.
|
|
Md Mehedi Hasan Emon, Tahsina Khan.
© 2026.
34 pages.
|
|
Zerin Tasnim, Md Mahdi Hasan Ahid, Md. Adnan Rahman, Mohammad Mofasserul Islam, Md. Nafis Fuad, Abu Bakar Abdul Hamid.
© 2026.
34 pages.
|
|
P. S. Venkateswaran, S. Jeyakumar, S. Devi Kamatchi, S. Manimaran.
© 2026.
36 pages.
|
|
Aliza, Abdullah, Muhammad Usman.
© 2026.
32 pages.
|
|
Rohit Yadav.
© 2026.
22 pages.
|
|
Salam Al E'mari, Yousef Sanjalawe, Fuad Fataftah.
© 2026.
30 pages.
|
|
|