Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

[Text] / O. V. Sidorova [et al.] // J. Geophys. Res.-Biogeosci. - 2008. - Vol. 113, Is. G2. - Ст. G02019, DOI 10.1029/2007JG000473. - Cited References: 63 . - 13. - ISSN 0148-0227РУБ Environmental Sciences + Geosciences, Multidisciplinary

Аннотация: We related tree ring width (TRW) and isotopic composition (delta(13)C, delta(18)O) of wood and cellulose from four larch trees (Larix cajanderi Mayr.) to climate parameters. The material was sampled in northeastern Yakutia [70 degrees N-148 degrees E] for the recent (AD 1880-2004) and early Medieval (AD 900-1000) periods. During the recent period June, July, and August air temperatures were positively correlated with delta(13)C and delta(18)O of wood and cellulose, while July precipitation was negatively correlated. Furthermore, the vapor pressure deficit (VPD) of July and August was significantly correlated with delta(13)C of wood and cellulose, but VPD had almost no influence on delta(18)O. Comparative analyses between mean isotope values for the (AD 900-1000) and (AD 1880-2004) periods indicate similar ranges of climatic conditions, with the exception of the period AD 1950-2004. While isotopic ratios in cellulose are reliably related to climatic variables, during some periods those in whole wood showed even stronger relationships. Strong positive correlations between delta(18)O of cellulose and Greenland ice-core (GISP2) data were detected for the beginning of the Medieval period (r = 0.86; p 0.05), indicating the reliability of isotope signals in tree rings for large-scale reconstructions.

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Держатели документа:
[Sidorova, Olga V.
Naurzbaev, Mukhtar M.
Vaganov, Eugene A.] Akademgorodok, VN Sukachev Inst Forest SB RAS, Krasnoyarsk 660036, Russia
[Siegwolf, Rolf T. W.
Saurer, Matthias] Paul Scherrer Inst, CH-5232 Villigen, Switzerland
[Vaganov, Eugene A.] Siberian Fed Univ, Krasnoyarsk, Russia

Доп.точки доступа:
Sidorova, O.V.; Siegwolf, RTW; Saurer, M...; Naurzbaev, M.M.; Vaganov, E.A.

/ A. Onuchin, G. Kofman, O. Zubareva, I. Danilova // Pol. J. Environ. Stud. - 2020. - Vol. 29, Is. 6. - P4257-4267, DOI 10.15244/pjoes/118168. - Cited References:39 . - ISSN 1230-1485. - ISSN 2083-5906РУБ Environmental Sciences

Аннотация: Pollution level and distribution are among key indicators of townspeople's life quality and accurate pollution estimation and town pollution zoning proceeding from these estimates are, therefore, challenging problems to be solved for big cities with highly developed industries. We carried out an integrated assessment of some pollutants for Krasnoyarsk Town using the 2018 snow cover chemical composition data and zoned the town by pollutant accumulation by cluster analysis. The resulting zoning based on the simultaneous use of pollutant-specific data was visualized using GIS and quantitatively confirmed the general public view of most districts of the town as being extremely adverse ecologically. Unlike most studies, where decisions on pollution zone boundaries are either intuitive, or made out of so-called "general considerations", the cluster analysis-based methodology applied in this study enabled to approach this problem algorithmically, i.e. to avoid a priori assumptions. The analysis we carried out based on the results of our original experimental research approach that involved a uniform methodology of snow sampling and analysis in the lab combined with state-of-the-art methods of data processing and result visualization, revealed snow cover to be an informative recorder and effective tool to obtain a picture of integrated pollution of urban areas.

WOS

Держатели документа:
Russian Acad Sci, Siberian Branch, Sukachev Inst Forest, Krasnoyarsk, Russia.

Доп.точки доступа:
Onuchin, Alexander; Kofman, Gregory; Zubareva, Olga; Danilova, Irina