Enhancing reservoir dam’s management in Algeria: a comparative study of interpolation methods for topo-bathymetric surveys

Mansouri, Ibtissem; Bengora, Djamel; Houichi, Larbi

doi:10.1007/s40808-023-01816-0

Model. Earth Syst. Environ.

2023

DOI: 10.1007/s40808-023-01816-0

|View full text |Cite

Enhancing reservoir dam’s management in Algeria: a comparative study of interpolation methods for topo-bathymetric surveys

Ibtissem Mansouri,

Djamel Bengora,

Larbi Houichi

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Remote sensing, artificial neural networks, and spatial interpolation methods for modelling soil chemical characteristics

Abbasi,

Zarin,

Raziq

et al. 2024

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

Remote sensing, artificial neural networks, and spatial interpolation methods for modelling soil chemical characteristics

Abbasi,

Zarin,

Raziq

et al. 2024

Model. Earth Syst. Environ.

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Enhancing reservoir dam’s management in Algeria: a comparative study of interpolation methods for topo-bathymetric surveys

Cited by 1 publication

References 21 publications

Remote sensing, artificial neural networks, and spatial interpolation methods for modelling soil chemical characteristics

Remote sensing, artificial neural networks, and spatial interpolation methods for modelling soil chemical characteristics

Contact Info

Product

Resources

About