Integrated assessment of anthropogenic contamination of oil-producing territories in Western Siberia

Алтунина, Л. К.; Svarovskaya, L. I.; Alekseeva, M. N.; Yashchenko, I. G.

doi:10.1134/s0965544114030025

Cited by 9 publications

(4 citation statements)

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“…Fire recording in difficult terrains and remote areas is difficult, given the man power available to SFD. MODIS does not differentiate fire sources, and captures all fires even those unrelated to forests, such as smoke originating from chimneys and households (Hantson et al 2013, Altunina et al 2014. Moreover, MODIS fire data are affected by forest types, and atmospheric humidity (Giglio et al 2009, Maier et al 2013.…”

Section: Data Discrepancymentioning

confidence: 99%

Recurring Uttarakhand’s Forest Fires: Nature, and Seasonality of forest fire, Data Discrepancy and Perceptions

Gumber,

Singh,

Ram

et al. 2023

Int. J. Ecol. Environ. Sci.

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Man-made fires have been an integral feature of chir pine (Pinus roxburghii) -banj oak (Quercus leucotrichophora) zone of Uttarakhand since the time immemorial. It is highly seasonal, each year during pre-monsoon, forest fires in Uttarakhand are issue of major debate with regard scale, nature, causes and impact of fires and measures required to address the problem. Here, we have characterized the seasonality of forest fires in Uttarakhand, data discrepancies, and perceptions of the stakeholders. The forest fire regime in Uttarakhand is characterized by frequent surface fires of small sizes, ranging from 1.56 to 7.25 ha/fire incidence. The seasonality and extent of fire depend on the timing of fresh litter fall, the main source of fuel to fire, severity of pre-monsoon drought and people's felt need for fodder to feed livestock. Largely because of the pre-monsoon droughts, the years 2009, 2012 and 2016 were the most fire affected in Uttarakhand, the annual incidence of forest fires being 1608, 1328, and 2074, respectively, with average fire incidence of 1169.50±219.19 fires per year. Data pertaining to fire frequency and affected area were collated from two sources: State Forest Department (SFD) and Moderate Resolution Imaging Spectroradiometer (MODIS). The differences in number of fire incidences between the two sources are large and need to be reconciled to develop a meaningful mitigation strategy to deal with forest fires. From the interviews conducted, it was found that while forest officials now realize the importance of community participation in fire control, communities are no more interested to participate, with decreasing day-to-day dependence on forest resources. The ongoing changes in the relationship of people with forests need to be analyzed and included in the policies related to forest fire management.

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Section: Data Discrepancymentioning

confidence: 99%

Recurring Uttarakhand’s Forest Fires: Nature, and Seasonality of forest fire, Data Discrepancy and Perceptions

Gumber,

Singh,

Ram

et al. 2023

Int. J. Ecol. Environ. Sci.

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“…Commissioned in 2006, this oil field belongs to the comparatively young fields in Tomsk region. Earlier (Altunina, 2014) we observed a trend of variation in the number of emergency failures and the area of contaminated lands as a function of the year when oil production was started in this field. It was established that soil and water contamination is due to the high accident rate in the older deposits, which predominate in the territory of Tomsk region.…”

Section: Characteristics Of the Condition Of The Vegetation Cover Andmentioning

confidence: 99%

“…In practice, this is illustrated by ever increasing territories occupied by oil field on the one hand, and increased volumes of oil and gas production from the reservoirs depleted by 50%, on the other hand, the use of outdated technologies, and the presence of dangerous nuclear and chemical production. Among the factors complicating the situation is a disregard of sustainability of natural landscapes to anthropogenic influences, which is closely related to the specific features of the zone of permafrost and to climatic conditions of dispersion of air pollutants in the atmosphere (Altunina, 2014). In assessing the environmental status in the fields different methods of data acquisition are used.…”

Section: Experimental Sitementioning

confidence: 99%

Application of the Terra Modis Satellite Data for Environmental Monitoring in Western Siberia

Yashchenko¹,

Peremitina²

2016

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Ê îñëîaeíÿþùèì ôàêòîðàì îòíîñèòñÿ ñëàáûé ó÷åò óñòîé÷èâîñòè ïðèðîäíûõ ëàíäøàôòîâ ê òåõíîãåííûì âîçäåéñòâèÿì, êîòîðàÿ ñâÿ-______________ * Ñíåaeàíà Êîíñòàíòèíîâíà Êîáçàðü (silver-gold.3@ mail.ru); Òàòüÿíà Îëåãîâíà Ïåðåìèòèíà (peremitinat@mail.ru); Èðèíà Ãåðìàíîâíà ßùåíêî. çàíà ñ îñîáåííîñòÿìè çîíû ðàñïðîñòðàíåíèÿ ìíîãîëåòíåìåðçëûõ ïîðîä è êëèìàòè÷åñêèìè óñëîâèÿìè ðàññåèâàíèÿ çàãðÿçíèòåëåé â àòìîñôåðå [2].…”

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Analysis of vegetation of oil producing areas in Tomsk region using remote sensing data

2016

AOO

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Ïðîâåäåí ìîíèòîðèíã ñîñòîÿíèÿ ðàñòèòåëüíîãî ïîêðîâà íåôòåäîáûâàþùèõ òåððèòîðèé Çàïàäíîé Ñèáèðè çà ïåðèîä 2010-2015 ãã. ñ èñïîëüçîâàíèåì òåìàòè÷åñêèõ ïðîäóêòîâ MODIS. Ïðåäëîaeåí ïîäõîä ê îöåíêå âîçäåéñòâèÿ ðàçëè÷íûõ ôàêòîðîâ íà ýêîëîãèþ íåôòåãàçîäîáûâàþùèõ òåððèòîðèé íà îñíîâå äèñòàíöèîííûõ èññëåäîâàíèé ñîñòîÿíèÿ ðàñòèòåëüíîãî ïîêðîâà ïî çíà÷åíèþ êîýôôèöèåíòà NDVI. Àïðîáàöèÿ ïðåäëîaeåííîãî ïîäõîäà ïðîâåäåíà äëÿ òåõíîãåííî-íàðóøåííûõ òåððèòîðèé ÷åòûðåõ íåôòÿíûõ ìåñòîðîaeäåíèé Òîìñêîé îáëàñòè -Êðàïèâèíñêîãî, Ìûëüäaeèíñêîãî, Ëóãèíåöêîãî è Óðìàíñêîãî. Äîïîëíèòåëüíî â êà÷åñòâå ôîíîâîãî ó÷àñòêà èññëåäîâàíà òåððèòîðèÿ Ãîñóäàðñòâåííîãî ïðèðîäíîãî çàêàçíèêà îáëàñòíîãî çíà÷åíèÿ «Îãëàòñêèé».

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Integrated assessment of anthropogenic contamination of oil-producing territories in Western Siberia

Cited by 9 publications

References 0 publications

Recurring Uttarakhand’s Forest Fires: Nature, and Seasonality of forest fire, Data Discrepancy and Perceptions

Recurring Uttarakhand’s Forest Fires: Nature, and Seasonality of forest fire, Data Discrepancy and Perceptions

Application of the Terra Modis Satellite Data for Environmental Monitoring in Western Siberia

Analysis of vegetation of oil producing areas in Tomsk region using remote sensing data

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