Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia

This study addressed the characterization of spatial variability of soil nutrients at Seberang Perai, Malaysia using Geostatistical methods. Accurate information from this study on the spatial variability of soil chemical properties is very important in understanding and characterization of sm...

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Main Author: Lai, Kong Soon
Format: Monograph
Language:English
Published: Universiti Sains Malaysia 2005
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Online Access:http://eprints.usm.my/57148/1/Characterization%20Of%20Spatial%20Variability%20Of%20Soil%20Nutrients%20At%20Seberang%20Perai%2C%20Malaysia_Lai%20Kong%20Soon.pdf
http://eprints.usm.my/57148/
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spelling my.usm.eprints.57148 http://eprints.usm.my/57148/ Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia Lai, Kong Soon T Technology TA Engineering (General). Civil engineering (General) This study addressed the characterization of spatial variability of soil nutrients at Seberang Perai, Malaysia using Geostatistical methods. Accurate information from this study on the spatial variability of soil chemical properties is very important in understanding and characterization of small scale spatial variability nature of nutrient properties of tropical soil, and thus allows in investigation of the catchment’s characteristics in Seberang Perai area in Malaysia. Two significant aspects of spatial variability of soil chemical properties were examined in this study. First, spatial distribution patterns of soil chemical properties (pH, total Nitrogen (N), available Phosphorus (P) and exchangeable Potassium (K)) were investigated and secondly the spatial autocorrelation for these properties were investigated. The study area was divided by a number of geo-grid reference points. Soil samples (n=70) were collected at these points and were analyzed in the laboratory for soil chemical soil properties. Differential global positioning system (DGPS) was used to locate the sample position. These soil properties along with their geo-grid reference location were analyzed to produce soil properties map over the entire area using the software SURFER. Semivariogram analysis was performed for the spatial soil properties to examine the autocorrelation among the data set using GS+ software. Results indicate that significant spatial variability exist in the soil chemical properties. The nugget to sill ratio indicates a moderate dependency for soil pH and available Phosphorus, while a strong dependency for Potassium and total Nitrogen. Universiti Sains Malaysia 2005-04-01 Monograph NonPeerReviewed application/pdf en http://eprints.usm.my/57148/1/Characterization%20Of%20Spatial%20Variability%20Of%20Soil%20Nutrients%20At%20Seberang%20Perai%2C%20Malaysia_Lai%20Kong%20Soon.pdf Lai, Kong Soon (2005) Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia. Project Report. Universiti Sains Malaysia, Pusat Pengajian Kejuruteraan Awam. (Submitted)
institution Universiti Sains Malaysia
building Hamzah Sendut Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Sains Malaysia
content_source USM Institutional Repository
url_provider http://eprints.usm.my/
language English
topic T Technology
TA Engineering (General). Civil engineering (General)
spellingShingle T Technology
TA Engineering (General). Civil engineering (General)
Lai, Kong Soon
Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
description This study addressed the characterization of spatial variability of soil nutrients at Seberang Perai, Malaysia using Geostatistical methods. Accurate information from this study on the spatial variability of soil chemical properties is very important in understanding and characterization of small scale spatial variability nature of nutrient properties of tropical soil, and thus allows in investigation of the catchment’s characteristics in Seberang Perai area in Malaysia. Two significant aspects of spatial variability of soil chemical properties were examined in this study. First, spatial distribution patterns of soil chemical properties (pH, total Nitrogen (N), available Phosphorus (P) and exchangeable Potassium (K)) were investigated and secondly the spatial autocorrelation for these properties were investigated. The study area was divided by a number of geo-grid reference points. Soil samples (n=70) were collected at these points and were analyzed in the laboratory for soil chemical soil properties. Differential global positioning system (DGPS) was used to locate the sample position. These soil properties along with their geo-grid reference location were analyzed to produce soil properties map over the entire area using the software SURFER. Semivariogram analysis was performed for the spatial soil properties to examine the autocorrelation among the data set using GS+ software. Results indicate that significant spatial variability exist in the soil chemical properties. The nugget to sill ratio indicates a moderate dependency for soil pH and available Phosphorus, while a strong dependency for Potassium and total Nitrogen.
format Monograph
author Lai, Kong Soon
author_facet Lai, Kong Soon
author_sort Lai, Kong Soon
title Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
title_short Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
title_full Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
title_fullStr Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
title_full_unstemmed Characterization Of Spatial Variability Of Soil Nutrients At Seberang Perai, Malaysia
title_sort characterization of spatial variability of soil nutrients at seberang perai, malaysia
publisher Universiti Sains Malaysia
publishDate 2005
url http://eprints.usm.my/57148/1/Characterization%20Of%20Spatial%20Variability%20Of%20Soil%20Nutrients%20At%20Seberang%20Perai%2C%20Malaysia_Lai%20Kong%20Soon.pdf
http://eprints.usm.my/57148/
_version_ 1759690268595978240
score 13.18916