An engineer is designing a water tank that loses 2% of its water every hour due to evaporation. If the tank starts with 10,000 liters, how much water remains after 24 hours?

Thu, 07 May 2026 21:34:22 +0000

**An engineer is designing a water tank that loses 2% of its water every hour due to evaporation. If the tank starts with 10,000 liters, how much water remains after 24 hours?**
This quiet challenge—water slowly dissolving into the air—matters more than it sounds. Engineers routinely model evaporation in water storage systems, especially in arid regions or large-scale infrastructure. A tank starting with 10,000 liters loses a consistent 2% per hour, not all at once, but compounding every hour. Understanding this gradual loss shapes more reliable water management strategies across households, farms, and industrial facilities. As water conservation grows in urgency amid shifting climate patterns, tools to predict such losses are essential. The 2% hourly rate reflects real-world evaporation influenced by temperature, humidity, and surface area—not theoretical assumptions. Engineers apply precise mathematical models to forecast how potential water reserves erode over time, helping avoid shortages and optimize refill schedules. This isn’t just academic—it’s practical engineering that affects reliability, cost, and sustainability. Understanding how evaporation gradually reduces stored water is key for anyone involved in water planning. Let’s explore how these losses accumulate. **How evaporation affects water volume over time—Why it matters in real-world systems**
Water loss isn’t linear—it’s exponential. When evaporation occurs at a consistent 2% per hour, each hour’s loss is calculated from the current volume, meaning earlier evaporation removes more literal water than later. This compounding effect dramatically impacts long-term storage, requiring larger tanks or more frequent replenishment in dry climates. Engineers factor this into design specs, ensuring tanks maintain adequate supply despite continuous, silent loss. This principle exemplifies how small per-hour changes create measurable results over days, reinforcing the need for accurate modeling in infrastructure projects.