Journal of Range and Watershed Managment

Predicting the effect of cloud seeding on runoff in Beheshtabad watershed using IHACRES model

Document Type : Research Paper

Authors

Abbas Rezaeai Haroni 1
Rafat Zare Bidaki 2
samaneh poormohammadi 3

1 Nature Engineering, Faculty of Natural Resources and Earth Science, Shahrekord University

2 Department of Nature Engineering, Faculty of Natural Resources and Earth Sciences, Shahrekord University

3 yazd university

https://doi.org/10.22059/jrwm.2022.295490.1450
Abstract
Cloud seeding is a new and efficient approach to deal with water scarcity and mitigate the effects of drought. Cloud seeding is one of the most flexible and cost effective ways for water resources management that can cause 10 – 30 percent increase of yearly precipitation. The Beheshtabad watershed is located in the uplands of Karoon river, can be one of the areas in Chaharmahal-va-Bakhtiari Province, that prone to cloud seeding. So we investigated the potential of cloud seeding in this region using physiography and meteorological data. The results show that 25.4 percent of study area (in the southwest) has the potential of cloud seeding. The runoff of Beheshtabad watershed was modeled in IHACRES. Two scenarios of a 10% increase in precipitation of February and a 10% increase in precipitation of the six months (in an average year) were tested. The results showed that a 10 percent increase in precipitation in February added 3.6 percent and a 10 percent increase in precipitation in the six months added 13.7 percent to the annual flow of Beheshtabad River. Also, a 10% increase in precipitation in a dry and humid year was compared, and the results show that the effect of cloud seeding is greater in drought.

Keywords

haharmahal-va-Bakhtiari Province؛ Fuzzy logic؛ Discharge؛ Precipitation
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Journal of Range and Watershed Managment
Volume 74, Issue 4
Winter 2022
Pages 905-916

  • Receive Date 23 March 2020
  • Revise Date 12 January 2022
  • Accept Date 12 January 2022
  • Publish Date 20 February 2022

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