TY - JOUR
T1 - Reservoir Release Allocation and Weir Design MATLAB® toolbox
AU - Nematollahi, Banafsheh
AU - Nikoo, Mohammad Reza
AU - Talebbeydokhti, Nasser
AU - Rakhshandehroo, Gholamreza
AU - Al-Raoush, Riyadh I.
AU - Chen, Mingjie
N1 - Publisher Copyright:
© 2023 IAHS.
PY - 2023/10/4
Y1 - 2023/10/4
N2 - Designing reservoir outlets is a challenging subject in flood management among water resource managers. However, although several kinds of research are dedicated to flood mitigation strategies, studies considering flood uncertainties in reservoir outlet designs are rare in the literature. This study fills this knowledge gap by developing a MATLAB® Toolbox application, entitled Release Allocation and Weir Design (RAWD), based on MATLAB® App Designer, to obtain optimum reservoir outlet designs for effective flood management considering four outlets types, including an orifice as well as a proportional, a triangular, and a rectangular weir. The RAWD application handles uncertainties using non-linear interval number programming (NINP) and conditional value-at-risk (CVaR) approaches within an optimization model. Results show that the RAWD Toolbox application’s user can effectively and accurately meet downstream water demands and minimize water allocation shortages during the flood for a reservoir subjected to different shapes of inflow hydrographs.
AB - Designing reservoir outlets is a challenging subject in flood management among water resource managers. However, although several kinds of research are dedicated to flood mitigation strategies, studies considering flood uncertainties in reservoir outlet designs are rare in the literature. This study fills this knowledge gap by developing a MATLAB® Toolbox application, entitled Release Allocation and Weir Design (RAWD), based on MATLAB® App Designer, to obtain optimum reservoir outlet designs for effective flood management considering four outlets types, including an orifice as well as a proportional, a triangular, and a rectangular weir. The RAWD application handles uncertainties using non-linear interval number programming (NINP) and conditional value-at-risk (CVaR) approaches within an optimization model. Results show that the RAWD Toolbox application’s user can effectively and accurately meet downstream water demands and minimize water allocation shortages during the flood for a reservoir subjected to different shapes of inflow hydrographs.
KW - Release Allocation and Weir Design (RAWD) MATLAB® toolbox
KW - Runge-Kutta numerical method
KW - conditional value-at-risk (CVaR)
KW - multi-objective optimization
KW - non-linear interval number programming (NINP)
KW - outlet design
UR - http://www.scopus.com/inward/record.url?scp=85173549543&partnerID=8YFLogxK
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UR - https://www.mendeley.com/catalogue/295b62ac-954d-3523-a7e8-ef6548a35b1d/
U2 - 10.1080/02626667.2023.2246956
DO - 10.1080/02626667.2023.2246956
M3 - Article
AN - SCOPUS:85173549543
SN - 0262-6667
VL - 68
SP - 2141
EP - 2153
JO - Hydrological Sciences Journal
JF - Hydrological Sciences Journal
IS - 15
ER -