According to Indian standard, the number of rain gauge stations for an area of 5200 km2 in plains should be
10
Understanding the required density of rain gauge stations is crucial for accurate rainfall data collection, which is essential for hydrological studies, water resource management, and weather forecasting. According to Indian standards, specific guidelines are provided for the number of rain gauge stations needed based on the terrain and the area being considered.
The Indian Standard (IS: 4987 - 1968) provides recommendations for the minimum network of rain gauge stations. The required density varies depending on the type of terrain:
The question specifically mentions an area in "plains". Therefore, we will use the density requirement for plains according to the Indian standard.
We are given:
According to the Indian standard for plains, the required density is 1 rain gauge station for every 520 km².
To find the number of rain gauge stations required for a given area, we divide the total area by the area served by a single station according to the standard density.
The formula to calculate the number of stations is:
\(\text{Number of Stations} = \frac{\text{Total Area}}{\text{Area per Station according to Standard Density}}\)
Substituting the given values:
\(\text{Number of Stations} = \frac{5200 \text{ km}^2}{520 \text{ km}^2/\text{station}}\)
Calculating the result:
\(\text{Number of Stations} = 10\)
Therefore, based on Indian standards for an area of 5200 km² in plains, the required number of rain gauge stations is 10.
| Parameter | Value |
|---|---|
| Given Area | 5200 km² |
| Terrain Type | Plains |
| Indian Standard Density (Plains) | 1 station per 520 km² |
| Calculated Number of Stations | 10 |
The calculated number of stations, 10, matches one of the provided options.
| Terrain Type | Recommended Area per Station (approx.) |
|---|---|
| Plains | 520 km² |
| Hilly Areas | 260 - 390 km² |
| Mountainous Areas | 130 km² |
A well-distributed network of rain gauge stations is vital for obtaining representative rainfall data over a region. The density of the network affects the accuracy of estimating average rainfall over an area (areal rainfall). Higher density networks generally provide more accurate estimates, especially in areas with high rainfall variability.
Apart from the terrain, other factors can influence the optimal density of a rain gauge network, such as:
Different types of rain gauges are used, including non-recording gauges like the Symons rain gauge (which needs manual reading) and recording gauges like the tipping bucket or weighing type rain gauges (which provide continuous rainfall data). The choice of rain gauge type can also influence network design and data collection strategies.
Isohyet is a line joining points having
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