Evaluation of anticipated performance index of tree species for air pollution mitigation in Islamabad, Pakistan

Issue Date

6-2020

Abstract

The negative impact of salinization concurrent with drought is a severe problem that creates challenges for agriculture in deltas and coastal lowlands. This study aims to investigate the spatial relationship among the field measured electrical conductivity (EC) and spectral salinity indices derived from Remote sensed data in the Mekong Delta using Geographically Weighted Regression (GWR). A wide range of Landsat 8 Operational Land Images (OLI) products, including single bands, band ratios, vegetation indices (NDVI and EVI), intensity indices (INT), and brightness indices (BI) were employed for computing salinity indices. The Kriging and Co-kriging interpolation techniques were used to estimate the spatial pattern of the field measured EC. Additionally, the Ordinary Least Square (OLS) regression were employed to characterize the relationship between single bands and EC measurement before applying the GWR for exploring the spatial correlation among the indices. There was a gradually increased of EC value from inland to coastal area. A significant relationship between EC measurement and spectral salinity indices and the highest correlation coefficient with p value less than 0.05 was found in EVI (r2 = 0.736). This study demonstrated that the GWR is germane to analyse the spatial correlation among the mentioned variables in the study area. Moreover, it also revealed that spectral salinity indices could be an alternative option for EC measurement in monitoring salt water intrusion at coastal areas.

Source or Periodical Title

Journal of Environmental Science and Management

ISSN

0119-1144

Volume

23

Issue

1

Page

50-59

Document Type

Article

Frequency

semi-annually

Physical Description

illustrations, tables, graphs

Language

English

Subject

tree species, performance index, air pollution mitigation, environmental management, ecosystem services, urban ecosystem, urban ecology, biomonitoring

Digital Copy

https://jesam.sesam.uplb.edu.ph/index.php

En – AGROVOC descriptors

TREES; SPECIES; URBAN FORESTRY; AIR POLLUTION; MITIGATION; ENVIRONMENTAL MANAGEMENT; ECOSYSTEM SERVICES; PAKISTAN

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