Dust Storms in Kazakhstan: Frequency and Division

Issanova, Gulnura; Abuduwaili, Jilili; Kaldybayev, Azamat; Semenov, Oleg; Dedova, Tatyana

doi:10.1007/s12594-015-0224-5

Cited by 34 publications

(13 citation statements)

References 8 publications

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“…This data set expands dust storm and dust deposition climatologies, derived from regional historical weather station records. While these climatologies span several decades, they are sparse and many were discontinued in the 1990s in CA (Groll et al., 2013; Indoitu et al., 2012; Issanova et al., 2015b) although observations continue in the Taklimakan (Wang et al., 2006; 2008). It provides data for regions such as northern Afghanistan, where there were no previous observations.…”

Section: Discussionmentioning

confidence: 99%

New Inventory of Dust Emission Sources in Central Asia and Northwestern China Derived From MODIS Imagery Using Dust Enhancement Technique

2021

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• New data set on dust emission point sources has been derived from MODIS imagery for Central Asia and northwestern China • Eastern and northern Taklimakan, Aralkum, Amu Darya, Syr Darya and Uzboy valleys are the most persistent sources of dust • Dust sources were associated with wildfire scars in the north and changing lake levels, irrigation and agricultural practices in the south Accepted Article This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process, which may lead to differences between this version and the Version of Record. Please cite this article as

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Section: Discussionmentioning

confidence: 99%

New Inventory of Dust Emission Sources in Central Asia and Northwestern China Derived From MODIS Imagery Using Dust Enhancement Technique

2021

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“…On the vast territory of Kazakhstan, there are a number of regions where the combination of various forms of environmentally damaged soils has resulted in a crisis situation. Disastrous environmental conditions can be observed in the Aral Sea region: zones of intensive soil desertification, salinization and deflation [11,12]. The regions of Central and East Kazakhstan, which are the major industrial centers, are involved to technogenic disturbances and the industrial pollution of soils with toxic chemical and radio active ISSN 1991-3494 5.…”

Section: Nas Rk Is Pleased To Announce That Bulletin Of Nas Rk Scientmentioning

confidence: 99%

Desertification and Land Degradation in Kazakhstan

Issanova¹,

Saduakhas²,

Abuduwaili³

et al. 2020

THE NATIONAL ACADEMY OF SCIENCES OF THE REPUBLIC OF KAZAKHSTAN

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Desertification and land degradation are common processes in arid and semi-arid regions of Kazakhstan, especially southern parts, where areas are covered by a great variety of desert types. In deserts, soil-forming processes take place in conditions of severe water shortage, and high level of soil degradation and desertification. The main natural factors for these processes are a flat terrain, a high degree of arid climate, soil salinity, carbonate content, a lack of structure and low natural soil fertility. However, the anthropogenic factors of desertification and soil degradation became dominant last decades. The study considers the actual problems of natural and anthropogenic factors of desertification and land degradation within Kazakhstan. The desertification of huge territories is accompanied by soil contamination, waterlogging by surface water and groundwater, soil salinization, erosion (water, wind), degradation of vegetation cover, dehumidification and a decrease in general regional biological capacity. Analysis of the current status of the soil cover has shown intensive land degradation 43 % of the territory of Kazakhstan is subjected to degradation in significant degree; over 14 % of pastures have reached an extreme degree of degradation or are completely degradated. The Aral Sea region, Northern Caspian Sea and Southern Balkhash deserts can be observed as areas of intensive soil desertification, salinization and deflation processes. As well as the desertification process are progressing in the irrigated soils of the deltas of Syrdarya, Shu, Ile and Karatal rivers.

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“…First, the annual means of the SDS frequency were classified into five classes by the Jenks optimization method, which is a data clustering method for determining best arrangement of values [66], to identify phased SDS impact. Second, four main representative spots, Caspian Sea and Aral Sea zone in Central Asia [67,68] and Gobi Desert and Taklamakan Desert zone in East Asia [13,69] were selected, for identifying impact regional differences. The selected zones were divided into source and receptor, considering environmental and sociopolicy sorting by land cover types (bare land), global watershed, and administrative districts.…”

Section: Spatial Analysis Between Indicatorsmentioning

confidence: 99%

Applicability Analysis of Vegetation Condition and Dryness for Sand and Dust Storm (SDS) Risk Reduction in SDS Source and Receptor Region

et al. 2020

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Central Asian countries, which are included the Mid-Latitude Region (MLR), need to develop regional adaptive strategies for reducing Sand and Dust Storm (SDS)-induced negative damages based on adequate information and data. To overcome current limitation about data and assessment approaches in this region, the macroscale verified methodologies were required. Therefore, this study analyzed environmental conditions based on the SDS impacts and regional differences of SDS sources and receptors to support regional SDS adaptation plans. This study aims to identify environmental conditions based on the phased SDS impact and regional differences of SDS source and receptor to support regional adaptation plans in MLR. The Normalized Difference Vegetation Index (NDVI), Aridity Index (AI), and SDS frequency were calculated based on satellite images and observed meteorological data. The relationship among SDS frequency, vegetation, and dryness was determined by performing statistical analysis. In order to reflect phased SDS impact and regional differences, SDS frequency was classified into five classes, and representative study areas were selected by dividing source and receptor in Central Asia and East Asia. The spatial analysis was performed to characterize the effect of phased SDS impact and regional distribution differences pattern of NDVI and AI. The result revealed that vegetation condition was negatively correlated with the SDS frequency, while dryness and the SDS frequency were positively correlated. In particular, the range of dryness and vegetation was related to the SDS frequency class and regional difference based on spatial analysis. Overall, the Aral Sea and the Caspian Sea can be considered as an active source of SDS in Central Asia, and the regions were likely to expand into potential SDS risk areas compared to East Asia. This study presents the possibility of potential SDS risk area using continuously monitored vegetation and dryness index, and aids in decision-making which prioritizes vegetation restoration to prevent SDS damages with the macrolevel approach in the MLR perspective.

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Dust Storms in Kazakhstan: Frequency and Division

Cited by 34 publications

References 8 publications

New Inventory of Dust Emission Sources in Central Asia and Northwestern China Derived From MODIS Imagery Using Dust Enhancement Technique

New Inventory of Dust Emission Sources in Central Asia and Northwestern China Derived From MODIS Imagery Using Dust Enhancement Technique

Desertification and Land Degradation in Kazakhstan

Applicability Analysis of Vegetation Condition and Dryness for Sand and Dust Storm (SDS) Risk Reduction in SDS Source and Receptor Region

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