Optimal estimators for ambient air quality levels

Optimal Estimators for Ambient Air Quality Levels

-Procedures to estimate missing data, determine extrema, and derive uncertainties for data collected in ambient air monitoring networks are presented. The optimal linear estimators used obtain unbiased, minimum variance results based on the temporal and spatial correlation of the data and estimates of sample uncertainty. The first estimator interpolates missing data. The second estimator derive...

Ambient Air Quality (A)

Supplement Aims and Scope or limited or prevented to help protect human health and our environment. In a field where the literature is ever-expanding, practitioners and researchers increasingly need to have ready access to up-to-date, high-quality scholarly articles on areas of ongoing interest in environmental health. This supplement aims to address this need by presenting contemporary article...

Optimal Estimators for Threshold-Based Quality Measures

We consider a problem in parametric estimation: given n samples from an unknown distribution, we want to estimate which distribution, from a given one-parameter family, produced the data. Following Schulman and Vazirani [12], we evaluate an estimator in terms of the chance of being within a specified tolerance of the correct answer, in the worst case. We provide optimal estimators for several f...

Rising SO2 levels in ambient air.

For several weeks running now, increasing concentrations of sulphur dioxide (SO 2) have been recorded on air quality monitors in Colombo. It is pertinent that the medical profession is made aware that the Sri Lanka Air Quality Index has recorded SO 2 levels entering the "unhealthy" category [1]. Burning of diesel produces SO 2 , and more fossil fuels are burnt now to meet our increasing energy ...

Estimation of Ambient Air Quality in Delhi