Matches in SemOpenAlex for { <https://semopenalex.org/work/W4308628739> ?p ?o ?g. }
- W4308628739 endingPage "108007" @default.
- W4308628739 startingPage "108007" @default.
- W4308628739 abstract "Ebb-and-flow irrigation system is a closed-loop efficient subirrigation system. In this study, a numerical model (EBMAN-HP) has been presented for simulation of all components (variations of water depth in supply tank and concrete floor/tank) and all phases of flood-floor/bench ebb-and-flow subirrigation systems. The model benefits from a fine-tuned computational algorithm for hysteresis module. The model can simulate both time-specified and sensor-based irrigation scheduling. Since ebb-and-flow irrigation system incorporates numerous pots, Richards’ equation should be solved for several pots to obtain sufficient understanding of the whole system. Therefore, the proposed model benefits from OpenMP parallel programming to speed up the execution time. Besides, a novel parallel TDMA solver have been presented that accelerates the computation speed by breaking a large system of equations into several simultaneously-solved portions. The model has been validated and verified against several analytical, numerical and experimental test cases. The results showed hysteresis module can completely remove artificial pumping error in two critical test cases. The parallel TDMA solver was shown to be able to reach to the speedup of about 90 %. The model was shown to perform faster than Hydrus-1D even in serial mode for coarser grids (about 52 % faster in average of 8 test cases) and similar to Hydrus-1D for dense grids (about 6 % faster in average of 4 test cases) with the perfect agreement (NSE between 0.999 and 1.000 and the average difference in MBE less than 0.1 % for 12 cases). Parallel model could boost the models’ performance to about 500 % using 6 processors. Finally, comprehensive illustrative example has been shown to present almost all capabilities of model." @default.
- W4308628739 created "2022-11-13" @default.
- W4308628739 creator A5064153740 @default.
- W4308628739 creator A5083109649 @default.
- W4308628739 date "2023-01-01" @default.
- W4308628739 modified "2023-10-17" @default.
- W4308628739 title "EBMAN-HP: A parallel model for simulation of sensor-based ebb-and-flow subirrigation systems" @default.
- W4308628739 cites W1104611698 @default.
- W4308628739 cites W1948256868 @default.
- W4308628739 cites W1955001884 @default.
- W4308628739 cites W1963872206 @default.
- W4308628739 cites W1968608215 @default.
- W4308628739 cites W1978399629 @default.
- W4308628739 cites W1980965960 @default.
- W4308628739 cites W1994668402 @default.
- W4308628739 cites W2001037682 @default.
- W4308628739 cites W2005348293 @default.
- W4308628739 cites W2007988724 @default.
- W4308628739 cites W2021663854 @default.
- W4308628739 cites W2032600630 @default.
- W4308628739 cites W2034373477 @default.
- W4308628739 cites W2034915897 @default.
- W4308628739 cites W2035994869 @default.
- W4308628739 cites W2039018712 @default.
- W4308628739 cites W2042068927 @default.
- W4308628739 cites W2045309090 @default.
- W4308628739 cites W2053897512 @default.
- W4308628739 cites W2076372349 @default.
- W4308628739 cites W2078798801 @default.
- W4308628739 cites W2086376947 @default.
- W4308628739 cites W2099370652 @default.
- W4308628739 cites W2117855192 @default.
- W4308628739 cites W2141060690 @default.
- W4308628739 cites W2141185596 @default.
- W4308628739 cites W2156726261 @default.
- W4308628739 cites W2161491561 @default.
- W4308628739 cites W2162604832 @default.
- W4308628739 cites W2180444284 @default.
- W4308628739 cites W2237653161 @default.
- W4308628739 cites W2325662747 @default.
- W4308628739 cites W2341101472 @default.
- W4308628739 cites W2415337842 @default.
- W4308628739 cites W2417546726 @default.
- W4308628739 cites W2524260990 @default.
- W4308628739 cites W2617805802 @default.
- W4308628739 cites W2738560426 @default.
- W4308628739 cites W2761547078 @default.
- W4308628739 cites W2766015065 @default.
- W4308628739 cites W2792021764 @default.
- W4308628739 cites W2902525201 @default.
- W4308628739 cites W2903493529 @default.
- W4308628739 cites W2978436126 @default.
- W4308628739 cites W3011863394 @default.
- W4308628739 cites W3013871170 @default.
- W4308628739 cites W3016435274 @default.
- W4308628739 cites W3020498008 @default.
- W4308628739 cites W3022730232 @default.
- W4308628739 cites W3032504815 @default.
- W4308628739 cites W3045442747 @default.
- W4308628739 cites W3091208561 @default.
- W4308628739 cites W3115998418 @default.
- W4308628739 cites W3119485096 @default.
- W4308628739 cites W3203982992 @default.
- W4308628739 cites W3204701629 @default.
- W4308628739 doi "https://doi.org/10.1016/j.agwat.2022.108007" @default.
- W4308628739 hasPublicationYear "2023" @default.
- W4308628739 type Work @default.
- W4308628739 citedByCount "0" @default.
- W4308628739 crossrefType "journal-article" @default.
- W4308628739 hasAuthorship W4308628739A5064153740 @default.
- W4308628739 hasAuthorship W4308628739A5083109649 @default.
- W4308628739 hasBestOaLocation W43086287391 @default.
- W4308628739 hasConcept C11413529 @default.
- W4308628739 hasConcept C121332964 @default.
- W4308628739 hasConcept C149635348 @default.
- W4308628739 hasConcept C173608175 @default.
- W4308628739 hasConcept C199360897 @default.
- W4308628739 hasConcept C2776266606 @default.
- W4308628739 hasConcept C2778770139 @default.
- W4308628739 hasConcept C38349280 @default.
- W4308628739 hasConcept C41008148 @default.
- W4308628739 hasConcept C44154836 @default.
- W4308628739 hasConcept C45374587 @default.
- W4308628739 hasConcept C57879066 @default.
- W4308628739 hasConcept C68339613 @default.
- W4308628739 hasConceptScore W4308628739C11413529 @default.
- W4308628739 hasConceptScore W4308628739C121332964 @default.
- W4308628739 hasConceptScore W4308628739C149635348 @default.
- W4308628739 hasConceptScore W4308628739C173608175 @default.
- W4308628739 hasConceptScore W4308628739C199360897 @default.
- W4308628739 hasConceptScore W4308628739C2776266606 @default.
- W4308628739 hasConceptScore W4308628739C2778770139 @default.
- W4308628739 hasConceptScore W4308628739C38349280 @default.
- W4308628739 hasConceptScore W4308628739C41008148 @default.
- W4308628739 hasConceptScore W4308628739C44154836 @default.
- W4308628739 hasConceptScore W4308628739C45374587 @default.
- W4308628739 hasConceptScore W4308628739C57879066 @default.
- W4308628739 hasConceptScore W4308628739C68339613 @default.