The researcher tests two filters: Filter X removes 30% of contaminants per use, Filter Y removes 50%. If a water sample has 1000 ppm of pollutants, what concentration remains after one use of each in sequence?

Sun, 03 May 2026 04:48:25 +0000

The researcher tests two filters: Filter X removes 30% of contaminants per use, Filter Y removes 50%. If a water sample starts at 1000 ppm of pollutants, what remains after applying each filter in sequence? This question is gaining attention as advanced filtration systems become more relevant in household and commercial water treatment discussions. With growing awareness around water quality and health impacts, consumers are seeking transparent, scientific insights—not country-specific claims, but clear data that matters across the U.S. The combination of dual-stage filtration offers a practical model for improving water purity, especially as interest in clean homes rises. Why now is a critical moment: public conversations around clean water touch on environmental health, household safety, and sustainable consumption. The idea of removing contaminants step by step—first by 30%, then by 50%—offers a tangible way to understand purification efficiency. Filter X sets a threshold, reducing pollutants incrementally, while Filter Y provides a deeper baseline clearance, showing how sequential filtration can deliver cleaner water than a single step. This concept resonates with users who value informed decisions and measurable results. How filtration sequences reduce contaminants
When Filter X removes 30% of pollutants from a 1000 ppm sample, 700 ppm remain. This 30% reduction is calculated on the total contaminated load：1000 × (1 - 0.30) = 700 ppm. Filter Y then removes 50% of the remaining pollutants—half of 700 ppm—leaving 350 ppm. So after both filters, 350 ppm of contaminants remain. This stepwise removal demonstrates progress without overstating results, aligning with real-world filtration performance. Common questions about filter sequence and water clarity
- *Does using two filters remove all contaminants?* Not necessarily—filters target different scales, improving purity but not guaranteeing absolute purity.
- *How effective are real-world filter systems compared to lab results?* Lab models provide baseline accuracy; field use factors like flow rate and maintenance influence real performance.
- *Can these filters improve health outcomes