7. Rain Gauge Network
The chapter covers the essential concepts surrounding rain gauge networks, focusing on their design, density, and methods for data collection. Various factors influencing network design, such as topography and climate variability, are examined alongside techniques for assessing adequacy and estimating missing rainfall data. Technological advancements in rainfall measurement are highlighted, showing their applications in hydrological modeling, irrigation planning, and urban stormwater management.
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Sections
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What we have learnt
- Accurate rainfall measurement is crucial for various hydrologic studies and infrastructure design.
- The effectiveness of a rain gauge network depends on its density and placement relative to spatial variability in rainfall.
- Technological advancements like automatic rain gauges and satellite measurements enhance rainfall data collection.
Key Concepts
- -- Rain Gauge Network
- A spatial arrangement of rain gauges designed to collect precipitation data across a specific area.
- -- Density of Rain Gauge Network
- The number of rain gauges required per unit area to adequately capture spatial variability in rainfall.
- -- Interpolation of Missing Data
- Methods used to estimate rainfall values when records are missing due to equipment failures or errors.
- -- WMO Guidelines
- Standards set by the World Meteorological Organization for the minimum number of rain gauges needed in different geographical regions.
- -- Geostatistical Methods
- Techniques used for spatial analysis of data, including kriging to evaluate the coverage of rain gauge networks.
Additional Learning Materials
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