Optimization of an artificial-recharge–pumping system for water supply in the Maghaway Valley, Cebu, Philippines
- 1. Adama University
- 2. UNESCO-IHE Institute for Water Education
- 3. Metro Cebu Water District Office, Cebu, Philippines
Description
A coupled simulation-optimization approach to optimize an artificial-recharge–pumping system for the water supply in the Maghaway Valley, Cebu, Philippines, is presented. The objective is to maximize the total pumping rate through a system of artificial recharge and pumping while meeting constraints such as groundwater-level drawdown and bounds on pumping rates at each well. The simulation models were coupled with groundwater management optimization to maximize production rates. Under steady-state natural conditions, the significant inflow to the aquifer comes from river leakage, whereas the natural discharge is mainly the subsurface outflow to the downstream area. Results from the steady artificial-recharge–pumping simulation model show that artificial recharge is about 20,587 m3/day and accounts for 77% of total inflow. Under transient artificial-recharge–pumping conditions, artificial recharge varies between 14,000 and 20,000 m3/day depending on the wet and dry seasons, respectively. The steady-state optimisation results show that the total optimal abstraction rate is 37,545 m3/day and artificial recharge is increased to 29,313 m3/day. The transient optimization results show that the average total optimal pumping rate is 36,969 m3/day for the current weir height. The transient optimization results for an increase in weir height by 1 and 2 m show that the average total optimal pumping rates are increased to 38,768 and 40,463 m3/day, respectively. It is concluded that the increase in the height of the weir can significantly increase the artificial recharge rate and production rate in Maghaway Valley.
Publication Details
Journal article
Journal:
Hydrogeology Journal
Publisher:
Springer Science and Business Media LLC
ISSN:
14312174
Volume:
26
Pages:
963-977
Persistent Identifiers
DOI
10.1007/s10040-017-1693-y
Read more
MAGID
2781416221
References
002-111-386-653-906
Read more
Zekri S, Triki C, Al-Maktoumi A, Bazargan-Lari M (2015) An optimization-simulati...
Read more
011-676-545-858-373
Read more
018-725-804-411-633
Read more
Parimalarenganayaki S, Elango L (2015) Assessment of effect of recharge from a c...
Read more
Showing first 5 of 22 references.