Cookies help us deliver our services. By using our services, you agree to our use of cookies.
De En Es
Kundenservice: +49 (0) 551 - 547 24 0

Cuvillier Verlag

Publications, Dissertations, Habilitations & Brochures.
International Specialist Publishing House for Science and Economy

Cuvillier Verlag

Premiumpartner
De En Es
Titelbild-leitlinien
The spatial distribution of soil salinity:

Hard Copy
EUR 19.00 EUR 18.05

E-book
EUR 13.30

The spatial distribution of soil salinity: (Volume 32)

Detection and prediction

Akmal Akramhanov (Author)

Preview

Table of Contents, Datei (6.5 KB)
Extract, Datei (82 KB)

ISBN-13 (Printausgabe) 3865376541
ISBN-13 (Hard Copy) 9783865376541
ISBN-13 (eBook) 9783736916548
Language English
Page Number 137
Edition 1 Aufl.
Book Series ZEF Bonn
Volume 32
Publication Place Göttingen
Place of Dissertation Bonn
Publication Date 2005-12-01
General Categorization Dissertation
Departments Agricultural science
Description

The spatial distribution of soil salinity: Detection and prediction.

Soils of irrigated lands in the Aral Sea Basin are often plagued by high salinity, hampering profitable agriculture on these soils. In this context, the present study has three specific objectives: to identify techniques that enable a rapid estimation of soil salinity, to characterize its spatial distribution and to estimate its spatial distribution based on readily obtainable environmental parameters using a Neural Network Model Approach. Topsoil salinity was highly variable at short distances and terrain attributes were the most influential factors. The use of relationships between environmental attributes and soil salinity for upscaling spatial distribution of soil salinity from farm to district level proved to be satisfactory. A possible application is the development of salinity prediction tools for farm-level decision making.