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Pump Selection in Irrigation Systems

Pump Selection in Irrigation Systems


The key to configuring pumps in an irrigation system is precisely matching the pump's capacity with the field's needs. First, determine the most critical data: the vertical height difference (head) from the water source (well, pond, or pool) to the highest and furthest outlet in the field, and the approximate area to be irrigated simultaneously or the required irrigation rate (flow rate). These two data points are fundamental to selecting the pump model; the head determines whether the water can be delivered, and the flow rate determines the irrigation speed. It is recommended to allow approximately 20% margin in the calculations to account for actual conditions such as pipeline losses.


Secondly, the power source and system layout need to be considered. If a stable power supply is available on-site, electric pumps are generally cheaper and quieter; in the field or in areas without electricity, diesel or gasoline engine pumps should be selected. For large areas of farmland with scattered plots or undulating terrain, a single pump may not be economical. At this point, a zoned configuration can be considered. This involves installing a main pump at the water source and auxiliary pumps in different areas or at different heights to provide relay boosting, or equipping different areas with independent small pumps. This allows each pump to operate at higher efficiency, potentially resulting in greater energy savings and more flexible control.


Finally, long-term reliability and economy should also be considered. Choose a brand known for its reliable quality and guaranteed after-sales service. While meeting current needs, if there are plans to expand the irrigated area in the future, consider choosing pumps with slightly higher performance margins, or reserving interfaces and space for additional pumps in the system. Consult experienced suppliers and provide your specific site information; they can help you calculate a more accurate configuration and find the optimal balance between performance, cost, and reliability.


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