Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)

This study aims to describe and model the spatial variations of precipitation in the mountainous areas of middle Zagros using geo statistical techniques. To this aim, a dataset was obtained from 249 precipitation recording stations of Meteorological organization (climatologic, synoptic, and rain gau...

Full description

Bibliographic Details
Main Authors: taher safarrad, hasanali farajisabokbar, gasem azizi, rahimali abaspoor
Format: Article
Language:fas
Published: University of Sistan and Baluchestan 2013-06-01
Series:جغرافیا و توسعه
Subjects:
Online Access:https://gdij.usb.ac.ir/article_800_617e8042d354db89b01b90a8f9a8deb3.pdf
_version_ 1797805035009081344
author taher safarrad
hasanali farajisabokbar
gasem azizi
rahimali abaspoor
author_facet taher safarrad
hasanali farajisabokbar
gasem azizi
rahimali abaspoor
author_sort taher safarrad
collection DOAJ
description This study aims to describe and model the spatial variations of precipitation in the mountainous areas of middle Zagros using geo statistical techniques. To this aim, a dataset was obtained from 249 precipitation recording stations of Meteorological organization (climatologic, synoptic, and rain gauge) and Ministry of Energy of Iran in a 10-year period (1995-2004). Among these stations, 219 stations were used for modeling the spatial variability of precipitation, and the remaining 30 stations were used to evaluate the proposed method. To check the normality of data and detect the trend, Kolmogorov- Smirnov test and Trend Analysis of ESRI Arc GIS 9.3 is utilized, respectively. An evaluation of simple, ordinary, and general kriging with and without auxiliary variables of altitude, latitude, slope, and distance from ridges show that the ordinary kriging with latitude and distance from the ridge auxiliary variables are more precise. To illustrate the spatial variability of precipitation in the area of study, profiles of precipitation and altitudes perpendicular to ridges were plotted in the 50 Km intervals. These profiles make evidence that despite the relative correlation between precipitation and topography, the points with maximum precipitation does not correspond to the highest topographic points. Moreover, leeward and windward sides present different behaviors with respect to precipitation. Finally, it is found that topographies act as barriers in the way of air masses, thus air masses in clash with mountain release large amounts of their humidity.
first_indexed 2024-03-13T05:45:59Z
format Article
id doaj.art-a0ff0499e8ac40ebb2d395e383be6c6e
institution Directory Open Access Journal
issn 1735-0735
2676-7791
language fas
last_indexed 2024-03-13T05:45:59Z
publishDate 2013-06-01
publisher University of Sistan and Baluchestan
record_format Article
series جغرافیا و توسعه
spelling doaj.art-a0ff0499e8ac40ebb2d395e383be6c6e2023-06-13T20:12:55ZfasUniversity of Sistan and Baluchestanجغرافیا و توسعه1735-07352676-77912013-06-01113114916410.22111/gdij.2013.800800Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)taher safarrad0hasanali farajisabokbar1gasem azizi2rahimali abaspoor3دانشگاه تهراندانشگاه تهراندانشگاه تهراندانشگاه تهرانThis study aims to describe and model the spatial variations of precipitation in the mountainous areas of middle Zagros using geo statistical techniques. To this aim, a dataset was obtained from 249 precipitation recording stations of Meteorological organization (climatologic, synoptic, and rain gauge) and Ministry of Energy of Iran in a 10-year period (1995-2004). Among these stations, 219 stations were used for modeling the spatial variability of precipitation, and the remaining 30 stations were used to evaluate the proposed method. To check the normality of data and detect the trend, Kolmogorov- Smirnov test and Trend Analysis of ESRI Arc GIS 9.3 is utilized, respectively. An evaluation of simple, ordinary, and general kriging with and without auxiliary variables of altitude, latitude, slope, and distance from ridges show that the ordinary kriging with latitude and distance from the ridge auxiliary variables are more precise. To illustrate the spatial variability of precipitation in the area of study, profiles of precipitation and altitudes perpendicular to ridges were plotted in the 50 Km intervals. These profiles make evidence that despite the relative correlation between precipitation and topography, the points with maximum precipitation does not correspond to the highest topographic points. Moreover, leeward and windward sides present different behaviors with respect to precipitation. Finally, it is found that topographies act as barriers in the way of air masses, thus air masses in clash with mountain release large amounts of their humidity.https://gdij.usb.ac.ir/article_800_617e8042d354db89b01b90a8f9a8deb3.pdfmodelinggeo statisticsvariogramanisotropytrendprecipitationmiddle zagros.  
spellingShingle taher safarrad
hasanali farajisabokbar
gasem azizi
rahimali abaspoor
Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)
جغرافیا و توسعه
modeling
geo statistics
variogram
anisotropy
trend
precipitation
middle zagros.  
title Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)
title_full Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)
title_fullStr Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)
title_full_unstemmed Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)
title_short Spatial Analysis of Precipitation Variations in Middle Zagros Using Geo-Statistical Methods (1995-2004)
title_sort spatial analysis of precipitation variations in middle zagros using geo statistical methods 1995 2004
topic modeling
geo statistics
variogram
anisotropy
trend
precipitation
middle zagros.  
url https://gdij.usb.ac.ir/article_800_617e8042d354db89b01b90a8f9a8deb3.pdf
work_keys_str_mv AT tahersafarrad spatialanalysisofprecipitationvariationsinmiddlezagrosusinggeostatisticalmethods19952004
AT hasanalifarajisabokbar spatialanalysisofprecipitationvariationsinmiddlezagrosusinggeostatisticalmethods19952004
AT gasemazizi spatialanalysisofprecipitationvariationsinmiddlezagrosusinggeostatisticalmethods19952004
AT rahimaliabaspoor spatialanalysisofprecipitationvariationsinmiddlezagrosusinggeostatisticalmethods19952004