Geoinformatics & Geostatistics: An OverviewISSN: 2327-4581

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Research Article, Geoinfor Geostat An Overview Vol: 2 Issue: 1

The Use of Mathematical Interpolation Modeling and Statistical Analysis to Explain the Spatial Variability of Annual Rainfall in the Moulouya Watershed, Morocco

Mahmoud Zemzami1*, Lahcen Benaabidate1, Ben Abbou Mohamed2, Badr Layan3 and Ilias Bouaamlat4
1Department of Earth Sciences, Faculty of Sciences and Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco
2Department of Earth Sciences, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco
Department of Biology, Faculty of Sciences and Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco
4Department of Mineral Engineering, Mohammadia School of Engineering, Mohammed V University, Rabat, Morocco
Corresponding author : Mahmoud Zemzami
Department of Earth Sciences, Faculty of Sciences and Technology, Sidi Mohamed Ben Abdellah University, Fez, Morocco
Tel: 212-0602717310
E-mail: [email protected]
Received: August 21, 2013 Accepted: January 06, 2014 Published: January 16, 2014
Citation: Zemzami M, Benaabidate L, Mohamed BA, Layan B, Bouaamlat I (2014) The Use of Mathematical Interpolation Modeling and Statistical Analysis to Explain the Spatial Variability of Annual Rainfall in the Moulouya Watershed, Morocco. Geoinfor Geostat: An Overview 2:1. doi:10.4172/2327-4581.1000115

Abstract

The Use of Mathematical Interpolation Modeling and Statistical Analysis to Explain the Spatial Variability of Annual Rainfall in the Moulouya Watershed, Morocco

The knowledge of spatial variability of rainfall is extremely important information for hydrologists and meteorologists. This variability is highly dependents on meteorological conditions and relief. The use of geostatistical methods in the study of the space variation of annual rainfall led to understand and explain some aspect of this variation and to calculate values of rainfall in unmeasured regions to best cover the entire study area. This study seeks to evaluate spatial interpolation techniques and understand the spatial variability of annual rainfall in Moulouya watershed, which is actually belonging to a national plan of water resources modeling. Rainfall records of 74 rain stations are used in this study covering an area of about 53,000 km2. Two types of kriging methods were used in this paper: simple Kriging and co-kriging.

Keywords: Geostatistical modeling; Rainfall; Spatial variation; Semi and cross covariogram

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