Applying a transfer function model to improve the sediment rating curve

被引:2
作者
Moughani, Solmaz Khazaei [1 ]
Rezazadeh, Shiva [2 ]
Azimmohseni, Majid [3 ]
Rahi, Gholamreza
Bahmanpouri, Farhad [4 ]
机构
[1] Inst Higher Educ Bonyan, Fac Hydraul Struct, Dept Civil Engn, Shahinshahr, Iran
[2] Urmia Univ, Dept Civil Engn, Orumiyeh, Iran
[3] Golestan Univ, Fac Sci, Dept Stat, Gorgan, Iran
[4] Natl Res Council CNR, Res Inst Geohydrol Protect, Hydraul Engn, Perugia, Italy
关键词
Transfer function; time series; distance function; forecast; sediment rating curve; prewhitening; ARTIFICIAL NEURAL-NETWORK; SUSPENDED-SEDIMENT; DISCHARGE RELATIONSHIPS; HYSTERESIS ANALYSIS; RIVER; TRANSPORT; PREDICTION; LOADS; CATCHMENT; SIMULATION;
D O I
10.1080/15715124.2023.2298387
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Information relating to suspended sediment load is of particular importance in terms of water management and environmental protection schemes. The sediment rating curve (SRC) is used to express the common relation between suspended sediment load and flow discharge in a basin. SRC, however, does not consider the effect of time lag in flow discharge; instead, it makes a kind of bias in its estimation, toward overestimation or underestimation of a sediment load. In this direction, the current research aims to improve and extend the SRC model by using a transfer function method. The proposed method was applied to a specific basin to better capture the effect of time lag on suspended sediment load estimation. This function estimated the current sediment load in current time. Three case studies were conducted in different climate conditions of Iran to evaluate the application of transfer function with SRC in assessing the relation between flow and suspended sediment discharge. The results revealed that the transfer function method demonstrated high precision in forecasting suspended sediment load, as evidenced by its mean absolute difference (MADIF) and bias criterion calculations. The findings indicated that the proposed method could enhance the accuracy of sediment load estimations in basins with similar characteristics. This approach was based on an unbiased future forecast and provided a high level of confidence. The results suggested that this method could be successfully applied to other basins to improve the accuracy of sediment load estimations.
引用
收藏
页码:313 / 325
页数:13
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