Peculiarities of acid-base properties of peat formed in various agroclimatic zones of the Altai mountainous region
The results of the study of acid-base indicators of peat in the Altai mountainous region are presented. The natural factors that in the aggregate determine the peculiarities of the physicochemical properties of mountain peat of different agro-climatic zones of the Altai Mountains have been revealed....
Published in: | IOP Conference Series: Earth and Environmental Science Vol. 928. P. 012003 (1-11) |
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Other Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Online Access: | http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000897767 Перейти в каталог НБ ТГУ |
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024 | 7 | |a 10.1088/1755-1315/928/1/012003 |2 doi | |
035 | |a koha000897767 | ||
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245 | 1 | 0 | |a Peculiarities of acid-base properties of peat formed in various agroclimatic zones of the Altai mountainous region |c G. V. Larina, E. V. Kaigorodov, E. B. Daibova [et al.] |
336 | |a Текст | ||
337 | |a электронный | ||
504 | |a Библиогр.: 29 назв. | ||
520 | 3 | |a The results of the study of acid-base indicators of peat in the Altai mountainous region are presented. The natural factors that in the aggregate determine the peculiarities of the physicochemical properties of mountain peat of different agro-climatic zones of the Altai Mountains have been revealed. The variation in the acid values, total absorbed bases, adsorption capacity and the degree of saturation of raised-bog, transitional, fen peat, the number of exchangeable ions Са2+ and Mg2+ has been estimated. The interrelation among these indicators has been presented. For the first time, regression equations of the relationship between exchangeable acidity рНKCl and the degree of peat base saturation V, between total absorbed bases S and the degree of peat base saturation V have been obtained using nonlinear regression analysis. The adequacy and stability of the developed models have been verified. The calculated mean errors of approximation of regression models characterise the high accuracy of the forecast and are indicative of a good selection of models for the initial data. | |
653 | |a кислотно-основные показатели | ||
653 | |a торф | ||
653 | |a Горный Алтай | ||
653 | |a физико-химические свойства | ||
655 | 4 | |a статьи в журналах |9 879358 | |
700 | 1 | |a Larina, G. V. |9 121790 | |
700 | 1 | |a Kaigorodov, E. V. |9 809553 | |
700 | 1 | |a Daibova, Elena B. |9 280857 | |
700 | 1 | |a Yalbacheva, O. A. |9 809554 | |
700 | 1 | |a Vidyaykina, L. G. |9 809555 | |
773 | 0 | |t IOP Conference Series: Earth and Environmental Science |d 2021 |g Vol. 928. P. 012003 (1-11) |x 1755-1307 | |
852 | 4 | |a RU-ToGU | |
856 | 4 | |u http://vital.lib.tsu.ru/vital/access/manager/Repository/koha:000897767 | |
856 | |y Перейти в каталог НБ ТГУ |u https://koha.lib.tsu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=897767 | ||
908 | |a статья | ||
999 | |c 897767 |d 897767 | ||
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