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Tytuł:
Response of young fig (Ficus carica cv. Sarılop) trees to different irrigation levels in a semi-arid mediterranean environment
Autorzy:
Akçay, S.
Doğan, P.
Powiązania:
https://bibliotekanauki.pl/articles/53834138.pdf
Data publikacji:
2023
Wydawca:
Uniwersytet Warmińsko-Mazurski w Olsztynie / Polskie Towarzystwo Magnezologiczne im. Prof. Juliana Aleksandrowicza
Opis:
Drought scenarios that will be faced in the near future in the Mediterranean Basin will affect sustainable crop production in the region. Even the drought tolerant crops under rain-fed conditions will need supplemental irrigation. The fig tree originates from this region and is grown under semi-arid conditions as a drought-prone crop. The aim of this research is to develop irrigation strategies under various irrigation levels in young fig trees. Five irrigation levels were investigated, covering the rainfed treatment (S0), as well as the fully irrigated treatment S4 (100%) and the S1 (25%), S2 (50%) and S3 (75%) treatments of the full irrigation level. The vegetative growth parameters including plant height, stem diameter, shoot length and number of leaves were evaluated in a two-year field experiment. Additionally, stem water potential (SWP), leaf area index (LAI) and proline content (PC) were also measured. The average seasonal water use values (ET) of young trees ranged from 25.5 to 472.2 mm. Plant vegetative growth parameters were significantly affected by irrigation levels and higher growth was observed in the S3 (75%) and S4 (100%) treatments. Plant physiological responses to different irrigation levels have a significant impact on SWP, LAI and PC measurements. In conclusion, S3 treatment (75% irrigation level) appears to be a good alternative to fully irrigated treatment for growing young fig trees under water-scarce conditions in western Turkey. SWP could be used as a tool in irrigation scheduling of young fig trees. Mean SWP values between -0.82 and -0.86 MPa can be accepted as threshold value for semi-arid regions.
Źródło:
Journal of Elementology; 2023, 28, 3; 831-854
1644-2296
Pojawia się w:
Journal of Elementology
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Comparison of different approaches in traffic forecasting models for the D-200 highway in Turkey
Autorzy:
Dogan, E.
Korkmaz, E.
Akgungor, A. P.
Powiązania:
https://bibliotekanauki.pl/articles/196318.pdf
Data publikacji:
2018
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
traffic forecasting
SARIMA
differential evolution algorithm
artificial bee colony algorithm
prognozowanie ruchu
algorytm ewolucji różnicowej
algorytm sztucznej kolonii pszczół
Opis:
Short-term traffic estimations have a significant influence in terms of effectively controlling vehicle traffic. In this study, short-term traffic forecasting models have been developed based on different approaches. Seasonal autoregressive integrated moving average (SARIMA), artificial bee colony (ABC) and differential evolution (DE) algorithms are the techniques used in the optimization of models, which have been developed by using observation data for the D-200 highway in Turkey. 80% of the data were used for training, with the remaining data used for testing. The performances of the models were illustrated with mean absolute errors (MAEs), mean absolute percentage errors (MAPEs), the coefficient of determination (R2) and the root-mean-square errors (RMSEs). It is understood that all the models provided consistent and useful results when the developed models were compared with the statistical results. In the models created separately for two lanes, the R2 values of the models were calculated to be approximately 92% for the right lane, which is generally used by heavy vehicles, and 88% for the left lane, which is used by less traffic. Based on the MAE and RMSE values, the model developed by the ABC algorithm gave the lowest error and showed more effective performance than the other approaches. Thus, the ABC model showed that it is appropriate for use on other highways in Turkey.
Źródło:
Zeszyty Naukowe. Transport / Politechnika Śląska; 2018, 99; 25-42
0209-3324
2450-1549
Pojawia się w:
Zeszyty Naukowe. Transport / Politechnika Śląska
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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