Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/e23121615 |
Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment | |
Alencar, Pedro Henrique Lima; Paton, Eva Nora; de Araujo, Jose Carlos | |
通讯作者 | Alencar, PHL (corresponding author),Tech Univ Berlin, Inst Okol, Ernst Reuter Pl 1, D-10587 Berlin, Germany. ; Alencar, PHL (corresponding author),Univ Fed Ceara, Dept Engn Agr, Campus Pici Fortaleza, BR-60020181 Fortaleza, Ceara, Brazil. |
来源期刊 | ENTROPY
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EISSN | 1099-4300 |
出版年 | 2021 |
卷号 | 23期号:12 |
英文摘要 | Many regions around the globe are subjected to precipitation-data scarcity that often hinders the capacity of hydrological modeling. The entropy theory and the principle of maximum entropy can help hydrologists to extract useful information from the scarce data available. In this work, we propose a new method to assess sub-daily precipitation features such as duration and intensity based on daily precipitation using the principle of maximum entropy. Particularly in arid and semiarid regions, such sub-daily features are of central importance for modeling sediment transport and deposition. The obtained features were used as input to the SYPoME model (sediment yield using the principle of maximum entropy). The combined method was implemented in seven catchments in Northeast Brazil with drainage areas ranging from 10(-3) to 10(+2) km(2) in assessing sediment yield and delivery ratio. The results show significant improvement when compared with conventional deterministic modeling, with Nash-Sutcliffe efficiency (NSE) of 0.96 and absolute error of 21% for our method against NSE of -4.49 and absolute error of 105% for the deterministic approach. |
英文关键词 | maximum entropy sediment transport sediment yield hydrology |
类型 | Article |
语种 | 英语 |
开放获取类型 | Green Published |
收录类别 | SCI-E |
WOS记录号 | WOS:000737144000001 |
WOS关键词 | CLIMATE-CHANGE ; HYDROLOGICAL MODELS ; RAINFALL EROSIVITY ; IMPACTS ; GAMMA ; INFORMATION ; NORTHEAST ; EXTREMES ; EROSION ; EVENTS |
WOS类目 | Physics, Multidisciplinary |
WOS研究方向 | Physics |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/375778 |
作者单位 | [Alencar, Pedro Henrique Lima; Paton, Eva Nora] Tech Univ Berlin, Inst Okol, Ernst Reuter Pl 1, D-10587 Berlin, Germany; [Alencar, Pedro Henrique Lima; de Araujo, Jose Carlos] Univ Fed Ceara, Dept Engn Agr, Campus Pici Fortaleza, BR-60020181 Fortaleza, Ceara, Brazil |
推荐引用方式 GB/T 7714 | Alencar, Pedro Henrique Lima,Paton, Eva Nora,de Araujo, Jose Carlos. Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment[J],2021,23(12). |
APA | Alencar, Pedro Henrique Lima,Paton, Eva Nora,&de Araujo, Jose Carlos.(2021).Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment.ENTROPY,23(12). |
MLA | Alencar, Pedro Henrique Lima,et al."Entropy-Based Temporal Downscaling of Precipitation as Tool for Sediment Delivery Ratio Assessment".ENTROPY 23.12(2021). |
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