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Urban environmental pollution is a complex issue influenced by traffic density, industrial activity, population growth, weather conditions, and urban planning. Reporting on such pollution requires systematic data collection, careful analysis, and effective communication so that both policymakers and the general public can understand the problem and respond appropriately. Data science and big data tools play a crucial role in transforming raw environmental data into meaningful insights that reveal patterns and trends. Data collection is the first and most critical step in reporting urban pollution. Large volumes of data can be gathered from air quality monitoring stations, satellite imagery, IoT-based sensors, traffic monitoring systems, and meteorological departments. These data sources provide ________ _________ _________ ______ _________ ____ _________ ______ ______ __________ ____ ________.
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