OBJECTIVES To compare methods for defining the population at risk from a point source of air pollution. A major challenge for environmental epidemiology lies in correctly identifying populations at risk from exposure to environmental pollutants. The complexity of today's environment makes it essential that the methods chosen are accurate and sensitive. METHODS Environmental and mathematical m...

Urban air pollution have a direct impact on public health. Ultrafine particles (UFPs) are ubiquitous in urban environments, but their distribution are highly variable. In this paper, we take data from mobile deployments in Zürich collected over one year with over 25 million measurements to build a high-resolution map estimating the UFP distribution. More specifically, we propose a new approach ...

In this paper we present a new approach to monitor noise pollution involving citizens and built upon the notions of participatory sensing and citizen science. We enable citizens to measure their personal exposure to noise in their everyday environment by using GPS-equipped mobile phones as noise sensors. The geo-localised measures and user-generated meta-data can be automatically sent and share...

In this study, the Scots pine (Pinus sylvestris L.) C needles (i.e. the current-year-needles) were used as bioindicators in determining the aerial distribution pattern of sulphur emissions around industrial point sources at Kemi, Northern Finland. The average sulphur concentration in the C needles was 897 mg/kg (d.w.), with a standard deviation of 118 mg/kg (d.w.) and range 740 – 1350 mg/kg (d....

Weathering and oxidation of sulphide minerals in mine wastes release toxic elements surrounding environments. As an alternative to traditional sampling chemical analysis methods, the capability proximal remote sensing techniques was investigated this study predict Chromium (Cr) concentration 120 soil samples collected from a dumpsite Sarcheshmeh copper mine, Iran. The samples’ mineralogy Cr wer...

Air pollution is a major concern throughout the universe due to effects on living and non-living things. Before an area said be polluted, there need carry out bottom-up or top-down assessment of environment. Mosses have been widely employed as cheap bioindicators atmospheric pollution. It reduces time-frame spent in monitoring results are reliable. Several types research undertaken spatial temp...

Crowdsourcing is one of the spatial data sources, but due to its unstructured form, quality noisy crowd judgments a challenge. In this study, we address problem detecting and removing crowdsourced bias as prerequisite for better-quality open-data output. This study aims find most robust assurance system (QAs). To achieve goal, design logic-based QAs variants test them on air crowdsourcing datab...

Inspired by the simplicity of how nature solves its problems, we implement a bacteria controller on a physical platform that would enable the localisation and subsequent mapping of environmental pollution. We investigate the effects of each parameter in the controller on the localisation and exploration ability of the platform used. We also present how we can tune the controller for a given env...