title: Application of wavelet transform for extracting and analysing evapotranspiration-induced diel fluctuations in streamflow records

authors: Sarwar, M Waqas

abstract: Diurnal fluctuations in groundwater and streamflow are produced due to evapotranspiration, indicating a strong connection between streamflow and the groundwater reservoir. Studying the patterns of diel fluctuations can provide valuable information on the hydrological processes in a catchment. Analysing these fluctuations makes it possible to estimate the evapotranspiration rate as well. In this paper, the signal analysis technique of the wavelet transform is applied to the streamflow time series to extract and analyse diel fluctuations. The performance of two main types of wavelet transform, continuous and discrete, is assessed against widely applied methods of trend extraction, such as moving average. The results show that wavelet transform can be used successfully to identify periodic and non-periodic features of the time series, such as seasonal and trend components, and to distinguish between signal and noise. The continuous wavelet transform demonstrates that the diurnal component of streamflow exhibits significant variation over different temporal scales, with the dominant periods ranging from 12 to 36 h. In conclusion, the findings suggest that wavelet transform can effectively capture evapotranspiration-induced diurnal streamflow fluctuations and provide insights into the hydrological processes at different temporal scales.

text: Application of wavelet transform for extracting and analysing evapotranspiration-induced diel fluctuations in streamflow records Diurnal fluctuations in groundwater and streamflow are produced due to evapotranspiration, indicating a strong connection between streamflow and the groundwater reservoir. Studying the patterns of diel fluctuations can provide valuable information on the hydrological processes in a catchment. Analysing these fluctuations makes it possible to estimate the evapotranspiration rate as well. In this paper, the signal analysis technique of the wavelet transform is applied to the streamflow time series to extract and analyse diel fluctuations. The performance of two main types of wavelet transform, continuous and discrete, is assessed against widely applied methods of trend extraction, such as moving average. The results show that wavelet transform can be used successfully to identify periodic and non-periodic features of the time series, such as seasonal and trend components, and to distinguish between signal and noise. The continuous wavelet transform demonstrates that the diurnal component of streamflow exhibits significant variation over different temporal scales, with the dominant periods ranging from 12 to 36 h. In conclusion, the findings suggest that wavelet transform can effectively capture evapotranspiration-induced diurnal streamflow fluctuations and provide insights into the hydrological processes at different temporal scales.

year: 2025

title: How can we know what we think until we see what we said? A citation and citation context analysis of Karl Wieck's , 'The Social Psychology of Organizing'

authors: Anderson, Marc Howard

subjects: Karl Weick

abstract: A substantial portion of Karl Weick’s influence on organization studies is based upon his classic book The Social Psychology of Organizing (abbreviated as Organizing). A citation analysis shows the magnitude of this influence compared to five other organization studies classics, and reveals that Organizing continues to be highly cited. A citation context analysis (i.e. content analysis) of all citations to Weick (1979) in three top organization studies journals (Academy of Management Review, Administrative Science Quarterly, and Organization Studies) shows that 12 concepts account for 67.6% of citations to Organizing, but that the book is cited for a remarkable diversity of additional content as well. Furthermore, a consideration of differences between the concepts cited in the US journals versus Organization Studies reveals several regional differences. Finally, very few citations are critical of Organizing or involve empirical tests. These results hold a variety of implications for future research.

text: How can we know what we think until we see what we said? A citation and citation context analysis of Karl Wieck's , 'The Social Psychology of Organizing' A substantial portion of Karl Weick’s influence on organization studies is based upon his classic book The Social Psychology of Organizing (abbreviated as Organizing). A citation analysis shows the magnitude of this influence compared to five other organization studies classics, and reveals that Organizing continues to be highly cited. A citation context analysis (i.e. content analysis) of all citations to Weick (1979) in three top organization studies journals (Academy of Management Review, Administrative Science Quarterly, and Organization Studies) shows that 12 concepts account for 67.6% of citations to Organizing, but that the book is cited for a remarkable diversity of additional content as well. Furthermore, a consideration of differences between the concepts cited in the US journals versus Organization Studies reveals several regional differences. Finally, very few citations are critical of Organizing or involve empirical tests. These results hold a variety of implications for future research.

year: 2006

title: Te Whānau Mārama

authors: Tuahine, Hōhepa

subjects: Whānau mārama

abstract: Ko te rā, ko te marama, ko te whetū, ko te auahitūroa, ko te kōtiritiri anō i tapaina e te Māori ko te Whānau Mārama.  Ko te whānau nei ka heke i a Tangotango rāua ko Wainui, he tamariki nā Ranginui rāua ko Papatūānuku, he atua. I whakaako motuhaketia ngā āhuatanga katoa o te Whānau Mārama ki te whare kōkōrangi.  Ko ana whakapapa, ko ana karakia, ko ana waiata, ko ana whakataukī maha.  Ko ngā kai mārō o taua whare wānanga e hoki ana ki te orokotīmatanga mai o Ranginui rāua ko Papatūānuku, heke iho mai ki te tangata me te ao tūroa e mōhiotia ana i tēnei rangi.  He tipua ngā tohunga o te whare kōkōrangi ki te whakamāori i ngā nekehanga me ngā āhuatanga rere kē o te Whānau Mārama nei.  Ka nui ngā tohutohu a te Whānau Mārama e tōnui ai te noho a te Māori ki te whenua.  Heoi anō, kei te āhua tonu o tā te whetū nekehanga i te rangi, kei te āhua tonu o tōna hikohiko mai, otirā kei te āhua tonu o tā te Whānau Mārama taunekeneke atu, taunekeneke mai ki a rātau anō.  Katoa ngā āhuatanga o te Whānau Mārama he mea hei ārahi i te Māori, me te aha, ko ngā mātauranga o te whare nei hei kāpehu ki te tohunga whakatere waka, hei tohu nō Tū ki te ope tauā, hei maramataka ki te ihu oneone, hei kai mārō ki te tauira, hei aha noa atu.  Ko tā tēnei tuhinga, he tūhura i ngā kōrero mō te Whānau Mārama me tana whare wānanga.  Ka titiro ki ngā kōrero kua whakamoanahia i roto i ngā tau maha me te whakamārama i te whakamahia o tēnei mātauranga e kui mā, e koro mā i te wā i a rātau.

text: Te Whānau Mārama Ko te rā, ko te marama, ko te whetū, ko te auahitūroa, ko te kōtiritiri anō i tapaina e te Māori ko te Whānau Mārama.  Ko te whānau nei ka heke i a Tangotango rāua ko Wainui, he tamariki nā Ranginui rāua ko Papatūānuku, he atua. I whakaako motuhaketia ngā āhuatanga katoa o te Whānau Mārama ki te whare kōkōrangi.  Ko ana whakapapa, ko ana karakia, ko ana waiata, ko ana whakataukī maha.  Ko ngā kai mārō o taua whare wānanga e hoki ana ki te orokotīmatanga mai o Ranginui rāua ko Papatūānuku, heke iho mai ki te tangata me te ao tūroa e mōhiotia ana i tēnei rangi.  He tipua ngā tohunga o te whare kōkōrangi ki te whakamāori i ngā nekehanga me ngā āhuatanga rere kē o te Whānau Mārama nei.  Ka nui ngā tohutohu a te Whānau Mārama e tōnui ai te noho a te Māori ki te whenua.  Heoi anō, kei te āhua tonu o tā te whetū nekehanga i te rangi, kei te āhua tonu o tōna hikohiko mai, otirā kei te āhua tonu o tā te Whānau Mārama taunekeneke atu, taunekeneke mai ki a rātau anō.  Katoa ngā āhuatanga o te Whānau Mārama he mea hei ārahi i te Māori, me te aha, ko ngā mātauranga o te whare nei hei kāpehu ki te tohunga whakatere waka, hei tohu nō Tū ki te ope tauā, hei maramataka ki te ihu oneone, hei kai mārō ki te tauira, hei aha noa atu.  Ko tā tēnei tuhinga, he tūhura i ngā kōrero mō te Whānau Mārama me tana whare wānanga.  Ka titiro ki ngā kōrero kua whakamoanahia i roto i ngā tau maha me te whakamārama i te whakamahia o tēnei mātauranga e kui mā, e koro mā i te wā i a rātau.

year: 2016