International Journal of Human Capital in Urban Management
Quarterly Publication

Soil quality of cultivated land in urban and rural area on the basis of both minimum data set and expert opinion

https://doi.org/10.22034/IJHCUM.2019.04.01
Volume 4, Issue 4 - Serial Number 16
Autumn 2019
Pages 247-258
International Journal of Human Capital in Urban Management

Document Type : ORIGINAL RESEARCH ARTICLE

Authors

S.R. Debi 1
S. Bhattacharjee 2
T.D. Aka 3
S.C. Paul 4
M.C. Roy 5
M.A. Salam 1
Md.S. Islam 2
A.R. Azady 2

1 Department of Environmental Science and Disaster Management, Noakhali Science and Technology University, Noakhali, Sonapur -3814, Bangladesh

2 Department of Applied Chemistry and Chemical Engineering, Noakhali Science and Technology University, Noakhali, Sonapur -3814, Bangladesh

3 Department of Pharmacy, Noakhali Science and Technology University, Noakhali, Sonapur -3814, Bangladesh.

4 Assistant Professor, Department of Applied Chemistry and Chemical Engineering, Noakhali Science and Technology University, Noakhali, Sonapur -3814, Bangladesh

5 Institute of Soil Resource Development, Noakhali, Bangladesh

Abstract
Soil quality assessment is a significant approach for arable land, especially in a coastal region to gain a better understanding of soil productivity and effect of agricultural systems on soil resources. This study aimed to determine the quality of cultivated soil of both urban (Noakhali) and rural areas (Kabirhat and Subarnachar) of Noakhali, Bangladesh. The soil quality was evaluated as soil quality index by using 117 soil samples data, collected from three different sites within the Noakhali District. Among 14 soil parameters (total data set), only six parameters namely organic matter, Phosphorous, Boron, potassium, and iron were selected for the minimum data set, based on a combination of principal component analysis, norm values and expert opinion. Four soil quality index calculation methods, namely: linear weighted additive; linear simple additive; nonlinear weighted additive and nonlinear simple additive; were calculated based on the minimum data set. A significant positive correlations (P <0.001, P <0.05) among the four methods were observed. The soil quality of the three sampling regions followed the order of Kabirhat> Subarnachar> Noakhali indicating the better quality soil in rural areas. In Noakhali, the major contributors to soil quality were organic matter (2.94–64.85%) followed by Boron (4.69-58.22%), iron (4.77–50.00%), electrical conductivity (3.48–32.53%), phosphorous (0.36–39.44%) and potassium (1.77–27.76%) whereas in Kabirhat, Boron (31.70%) and iron (23.83%) were the major contributors, and in Subarnachar, organic matter (28.98%) contributed the most.

Graphical Abstract

Soil quality of cultivated land in urban and rural area on the basis of both minimum data set and expert opinion

Keywords

Method comparison
Minimum data set
Noakhali
Principle component analysis
Soil Quality Index (SQI)
Subjects
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  • Receive Date 30 June 2019
  • Revise Date 22 August 2019
  • Accept Date 14 September 2019

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