A Kriging-based approach for locating a sampling site—in the assessment of air quality

  title={A Kriging-based approach for locating a sampling site—in the assessment of air quality},
  author={Hanefi Bayraktar and F. Sezer Turalioğlu},
  journal={Stochastic Environmental Research and Risk Assessment},
Air quality assessment studies have either high sampling or analyses costs. In these studies the representation of a city by a single sampling point is still a serious problem, especially in the metropolitans of developing countries, because of the absence of equipments required for sampling at different locations. In this paper, the smoke data measurements of long years are used in the determination of the region for the representation of the city by drawing contours through the Kriging method… Expand
Optimization of Air Quality Monitoring Network Using GIS Based Interpolation Techniques
This paper proposes a simple method of optimizing Air Quality Monitoring Network (AQMN) using Geographical Information System (GIS), interpolation techniques and historical data. Existing air qualityExpand
Assessment of Population Exposure to Coarse and Fine Particulate Matter in the Urban Areas of Chennai, India
Results based on human exposure analysis show the vulnerability is more towards the zones which are surrounded by prominent sources of pollution, and that about 94% of the inhabitants live in critical areas where the concentration of the fine particulates exceeds the IT guidelines. Expand
A kriging-based partial shading analysis in a large photovoltaic field for energy forecast
In this paper the use of the kriging estimation method for the study of partial shading in photovoltaic fields is investigated. Different cases of shadowing spatial distribution on the PV fieldExpand
Proximity analysis of air pollution exposure and its potential risk.
The study demonstrates the application of GIS-based prediction for the evaluation of exposure mapping, in order to determine the spatial extent and frequency of areas where pollution levels exceed target values, and their potential health impacts. Expand
Sampling and Kriging Spatial Means: Efficiency and Conditions
Both the theoretical analysis and the empirical study show that the mean Kriging technique outperforms other commonly-used techniques and can be applied to other spatially distributed attributes, as well. Expand
Regional urban environmental quality assessment and spatial analysis
Abstract Rapid urbanization has resulted in sudden degradation of the environmental quality of urban settlements, which are difficult to measure and quantify. The present study attempts to provide anExpand
DISCLAIMER This document describes work undertaken as part of a programme of study at the Faculty of Geo-Information Science and Earth Observation of the University of Twente. All views and opinionsExpand
Optimal Air Quality Monitoring Network for Green Cities
Continuous efforts are being made by cities around the world to iden­tify methods to make their environment healthier and more livable through the improvement of water, land and air. Air pollution isExpand
Comparison of spatial sampling strategies for ground sampling and validation of MODIS LAI products
The development of an efficient ground sampling strategy is critical to assess uncertainties associated with moderate- or coarse-resolution remote-sensing products. This work presents a comparison ofExpand
Design of a sensitive air quality monitoring network using an integrated optimization approach
A new method is developed to design a multi-objective and multi-pollutant sensitive air quality monitoring network (AQMN) for an industrial district. A dispersion model is employed to estimate theExpand


Mapping temperature using kriging with external drift: Theory and an example from scotland
Land suitability mapping requires information about climate, topography, and soils in relation to crop performance. Climatic data are available from recording stations which present point samples andExpand
Multivariate spatial interpolation and exposure to air pollutants
We develop and apply an approach to the spatial interpolation of a vector-valued random response field. The Bayesian approach we adopt enables uncertainty about the underlying models to beExpand
Estimating the cost of damage to buildings by acidifying atmospheric pollution in Europe
Damage to buildings and materials caused by acidifying atmospheric pollution imposes considerable socioeconomic costs across much of Europe. The aim of this study was to attempt a first estimate ofExpand
Air pollution in cities
Abstract Air quality in cities is the result of a complex interaction between natural and anthropogenic environmental conditions. Air pollution in cities is a serious environmental problem –Expand
Urban air quality
Abstract Since 1950 the world population has more than doubled, and the global number of cars has increased by a factor of 10. In the same period the fraction of people living in urban areas hasExpand
Ambient air quality of two metropolitan cities of Pakistan and its health implications
Abstract The present study reports findings on TSP loading in the ambient air of two major cities in Pakistan – Karachi and Islamabad. Data for TSP were collected at one site in Karachi and two inExpand
Air pollution and mortality in Madrid, Spain: a time-series analysis
The hypothesis of an association between pollution levels and mortality between 1986–1992 in Madrid supports the hypothesis that additional measures designed to reduce pollution levels without compromising thermal comfort should be implemented. Expand
GSLIB: Geostatistical Software Library and User's Guide
Geostatistics can be defined as the statistical study of phenomena that fluctuate in space and time. Originally the objective of the field was to improve forecasts of ore grade and reserves, but theExpand
A statistical approach to some basic mine valuation problems on the Witwatersrand, by D.G. Krige, published in the Journal, December 1951 : introduction by the author
  • D. Krige
  • Mathematics, Environmental Science
  • 1951
Certain fundamental concepts in the application of statistics to mine valuation on the Witwatersrand are discussed, and general conclusions are drawn regarding the application of the lognormal curveExpand
Multivariate Geostatistics: An Introduction with Applications
This book presents an advanced presentation of linear models for multivariate spatial or temporal data, including the recent bilinear model of coregionalization, and an introduction to non-stationary geostatistics with a special focus on the external drift method. Expand