1,727,500 research outputs found
Sigara (Subsigara) samani subsp. samani samani Hoberlandt 1952
No full textSigara (Subsigara) samani samani Hoberlandt, 1952 Material examined. ASIAN TURKEY: Adana province: Çatalan env., Çatalan Barajı [dam] (N 37°16'07.8" E 35°17'34.2"), littoral, 143 m a.s.l., 8.v.2007, 2 ♂♂ 1 ♀, P. Kment lgt. & det. (NMPC); 10 km N Adana, Karaömerli env., littoral of Seyhan Barajı [dam] (N 37°07' E 35°20'), 80 m a.s.l., 21.–22.vi.2001, 4 ♂♂ 1 ♀, M. Fikáček, J. Hájek & J. Straka lgt., P. Kment det. (NMPC); Misis [= Yakapınar], 20.–22.vi.1952, 1 ♂, 4.vii.1962, 5 ♀♀, G. Seidenstücker lgt. & det., P. Kment revid. (NMPC). Asian Turkey. Hoberlandt (1952a, types), Seidenstücker (1959, as S. samani), Linnavuori (1965, as S. samani), Jansson (1986a, in map as revised; 1995); Önder et al. (2006); this paper. Turkey (not distinguished). Nieser & Moubayed (1985, as S. samani), Kıyak & Özsaraç (2001). General distribution. Southern Anatolia, western Syria, Lebanon, Israel (Nieser & Moubayed 1985; Jansson 1986a, 1995) Identification. Jansson (1986a,b).Published as part of Fent, Meral, Kment, Petr, Çamur-Elipek, Belgin & Kirgiz, Timur, 2011, Annotated catalogue of Enicocephalomorpha, Dipsocoromorpha, Nepomorpha, Gerromorpha, and Leptopodomorpha (Hemiptera: Heteroptera) of Turkey, with new records 2856, pp. 1-84 in Zootaxa 2856 (1) on page 23, DOI: 10.11646/zootaxa.2856.1.1, http://zenodo.org/record/528671
Cheiroseius samani Mehranian 2014
No full textCheiroseius samani Mehranian , 2014 Cheiroseius samani Mehranian, 2014: 350. TYPE DEPOSITORY: Canadian National Collection of Insects, Arachnids and Nematodes, Ottawa, Ontario, Canada. TYPE LOCALITY AND HABITAT: Neyshabur, 35 ° 50´N, 58 ° 20´E, Khorasan Razavi Province, Iran, in soil of apple orchard.Published as part of De Moraes, Gilberto J., Britto, Erika P. J., Mineiro, Jefferson L. De C. & Halliday, Bruce, 2016, Catalogue of the mite families Ascidae Voigts & Oudemans, Blattisociidae Garman and Melicharidae Hirschmann (Acari: Mesostigmata), pp. 1-299 in Zootaxa 4112 (1) on page 152, DOI: 10.11646/zootaxa.4112.1.1, http://zenodo.org/record/39947
Calibration methods for the Hargreaves-Samani equation
No full textABSTRACT The estimation of the reference evapotranspiration is an important factor for hydrological studies, design and management of irrigation systems, among others. The Penman Monteith equation presents high precision and accuracy in the estimation of this variable. However, its use becomes limited due to the large number of required meteorological data. In this context, the Hargreaves-Samani equation could be used as alternative, although, for a better performance a local calibration is required. Thus, the aim was to compare the calibration process of the Hargreaves-Samani equation by linear regression, by adjustment of the coefficients (A and B) and exponent (C) of the equation and by combinations of the two previous alternatives. Daily data from 6 weather stations, located in the state of Minas Gerais, from the period 1997 to 2016 were used. The calibration of the Hargreaves-Samani equation was performed in five ways: calibration by linear regression, adjustment of parameter “A”, adjustment of parameters “A” and “C”, adjustment of parameters “A”, “B” and “C” and adjustment of parameters “A”, “B” and “C” followed by calibration by linear regression. The performances of the models were evaluated based on the statistical indicators mean absolute error, mean bias error, Willmott’s index of agreement, correlation coefficient and performance index. All the studied methodologies promoted better estimations of reference evapotranspiration. The simultaneous adjustment of the empirical parameters “A”, “B” and “C” was the best alternative for calibration of the Hargreaves-Samani equation
Programa HS Cal para calibração da equação de Hargreaves-Samani
No full textThe objective of this work was to develop a software (HS Cal) to calibrate the Hargreaves-Samani equation for specific periods of the year, in global, seasonal, and monthly time scales, as well as to compare the performance of calibrated and non-calibrated equations. The software was developed in order to use raw data provided by Banco de Dados Meteorológicos para Ensino e Pesquisa (BDMEP). All calibrations outperformed the original Hargreaves-Samani equation, especially with the use of seasonal and monthly calibrations. The HS Cal software can easily calibrate the Hargreaves-Samani equation, allowing the identification of the best form of this equation for a given site.O objetivo deste trabalho foi desenvolver um programa (HS Cal) para calibrar a equação de Hargreaves-Samani para períodos específicos do ano, nas escalas global, sazonal e mensal, bem como comparar o desempenho das equações calibrada e não calibrada. O software foi desenvolvido para o uso de dados brutos fornecidos pelo Banco de Dados Meteorológicos para Ensino e Pesquisa (BDMEP). Todas as calibrações estudadas superaram a equação de Hargreaves-Samani original, especialmente com uso das calibrações sazonal e mensal. O programa HS Cal pode calibrar facilmente a equação de Hargreaves-Samani, o que possibilita a identificação da melhor forma desta equação para uma dada localidade
Felt knowledge: ecologising art and Samani Ainu cooking
Full text linkOver seven months between 2020 and 2021, I lived in Samani, Hokkaido in Japan. Learning indigenous Samani Ainu cooking across different seasons from Ms Kane Kumagai, I questioned how an art practice can explore ‘felt knowledge’ of the more-than-human world. My everyday presence with local people’s lived experiences and multi-species encounters in Samani was an act of artistic experimentation that could acquire a different way of exchanging knowledge. Across these relationships I learned how our sensory knowledge-based engagement with both people and nature can contribute to a diverse ecosystem.
This book is a record of my time in Samani and is itself a form of art, which documents and shares the process of making and translating intangibles into tangibles. In it, I seek to show how the practice of art can observe, unfold, work with, and share in a compassionate way a felt knowledge that is part of the human world. Documenting this way of living and working can unpack social, historical, political, and economic backgrounds to reveal reasons why Ms Kumagai and natural species are facing a critical moment in Samani. Recording the Samani Ainu cooking that Ms Kumagai wishes to share with future generations also resists forgetting a facet of Samaini Ainu community. Here, I offer values askance from social norms shaped by colonial, imperialistic, misogynistic, and capitalist modes of society. Through this body of works, I practise knowledge production supporting a compassionate, inclusive, and value diverse approach for people, non-human species, and culture
Calibration methods for the Hargreaves-Samani equation
No full textABSTRACT The estimation of the reference evapotranspiration is an important factor for hydrological studies, design and management of irrigation systems, among others. The Penman Monteith equation presents high precision and accuracy in the estimation of this variable. However, its use becomes limited due to the large number of required meteorological data. In this context, the Hargreaves-Samani equation could be used as alternative, although, for a better performance a local calibration is required. Thus, the aim was to compare the calibration process of the Hargreaves-Samani equation by linear regression, by adjustment of the coefficients (A and B) and exponent (C) of the equation and by combinations of the two previous alternatives. Daily data from 6 weather stations, located in the state of Minas Gerais, from the period 1997 to 2016 were used. The calibration of the Hargreaves-Samani equation was performed in five ways: calibration by linear regression, adjustment of parameter “A”, adjustment of parameters “A” and “C”, adjustment of parameters “A”, “B” and “C” and adjustment of parameters “A”, “B” and “C” followed by calibration by linear regression. The performances of the models were evaluated based on the statistical indicators mean absolute error, mean bias error, Willmott’s index of agreement, correlation coefficient and performance index. All the studied methodologies promoted better estimations of reference evapotranspiration. The simultaneous adjustment of the empirical parameters “A”, “B” and “C” was the best alternative for calibration of the Hargreaves-Samani equation.</jats:p
Az evapotranszspiráció meghatározása Hargreaves-Samani módszerrel magyarországi adatokon
No full textA referencia evapotranszspiráció meghatározására elfogadott standard formula a FAO Penman-Monteith egyenlet. Ennek a formulának az a hátránya, hogy adatigényes. Számos meteorológiai megfigyelőhelyen nincsen sugárzás és szélmérés. Ennek a hiányosságnak a következménye, hogy olyan formulákat dolgoztak ki, amelyekhez olyan elemek szükségesek a legtöbb megfigyelőhelyen mérnek. Az egyik ilyen elem a hőmérséklet. Ezért Hargreaves és Samani (1982) kidolgozott egy olyan formulát, amely alapvetően a hőmérsékletre és az extraterresztriális sugárzásra épül. Mivel a hőmérsékletet a meteorológiai megfigyelések kezdetétől mérik, formulájuk lehetővé teszi hosszú párolgási idősorok előállítását is. Meghatároztuk hazai adatokon a párolgási értékeket a Hargeaves-Samani formulával. A formulával kapott adatokat Szarvason liziméterrel és A-káddal mért adatokkal és a FAO Penman-Monteith formulával hasonlítottuk össze, Mosonmagyaróváron pedig Akád adatokkal és FAO Penman-Monteith formulával számított értékekkel. A kapott eredmények alapján a Hargreaves-Samani formula hazánkban is használható
Az evapotranszspiráció meghatározása Hargreaves-Samani módszerrel magyarországi adatokon
No full textA referencia evapotranszspriráció meghatározására elfogadott standard formula a FAO Penman-Monteith egyenlet. Ennek a formulának az a hátránya, hogy adatigényes. Számos meteorológiai megfigyelőhelyen nincsen sugárzás és szélmérés. Ennek a hiányosságnak a következménye, hogy olyan formulákat dolgoztak ki, amelyekhez olyan elemek szükségesek amelyet a legtöbb megfigyelőhelyen mérnek. Az egyik ilyen elem a hőmérséklet. Ezért Hargreaves és Samani (1982) kidolgozott egy olyan formulát, amely alapvetően a hőmérsékletre és az extraterresztriális sugárzásra épül. Mivel a hőmérsékletet a meteorológiai megfigyelések kezdetétől mérik, formulájuk lehetővé teszi hosszú párolgási idősorok előállítását is. Meghatároztuk hazai adatokon a párolgási értékeket a Hargeaves-Samani formulával. A formulával kapott datokat Szarvason liziméterrel és A-káddal mért adatokkal és a FAO Penman-Monteith formulával hasonlítottuk össze, Mosonmagyaróváron pedig A-kád adatokkal és FAO Penman-Monteith formulával számított értékekkel. A kapott eredmények alapján a Hargreaves-Samani formula hazánkban is használhat
POTENTIAL EVAPOTRANSPIRATION FOR VIEQUES ISLAND, PUERTO RICO, WITH THE HARGREAVES AND SAMANI MODEL
Full text linkPOTENTIAL EVAPOTRANSPIRATION FOR VIEQUES ISLAND, PUERTO RICO, WITH THE HARGREAVES AND SAMANI MODELPOTENTIAL EVAPOTRANSPIRATION FOR VIEQUES ISLAND, PUERTO RICO, WITH THE HARGREAVES AND SAMANI MODE
- …
