Aeolian dust deposition in the southern Aral Sea region (Uzbekistan): Ground-based monitoring results from the LUCA project

Opp, Christian; Groll, Michael; Aslanov, I. A.; Lotz, Tom; Vereshagina, Nataliya

doi:10.1016/j.quaint.2015.12.103

Cited by 67 publications

(39 citation statements)

References 33 publications

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“…There is, therefore, a need to accurately quantify the current water balance of the Aral Basin to evaluate the success of the restoration projects (cf. Crétaux et al 2005;Micklin 2007;Gaybullaev et al 2012;Shi & Wang 2015;Opp et al 2017).…”

Section: Hydrological Signals In the Caspian And Aral Seas Regionsmentioning

confidence: 99%

Data-adaptive spatio-temporal filtering of GRACE data

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Chanard

Fleitout

et al. 2019

Geophysical Journal International

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SUMMARY Measurements of the spatio-temporal variations of Earth’s gravity field from the Gravity Recovery and Climate Experiment (GRACE) mission have led to new insights into large spatial mass redistribution at secular, seasonal and subseasonal timescales. GRACE solutions from various processing centres, while adopting different processing strategies, result in rather coherent estimates. However, these solutions also exhibit random as well as systematic errors, with specific spatial patterns in the latter. In order to dampen the noise and enhance the geophysical signals in the GRACE data, we propose an approach based on a data-driven spatio-temporal filter, namely the Multichannel Singular Spectrum Analysis (M-SSA). M-SSA is a data-adaptive, multivariate, and non-parametric method that simultaneously exploits the spatial and temporal correlations of geophysical fields to extract common modes of variability. We perform an M-SSA analysis on 13 yr of GRACE spherical harmonics solutions from five different processing centres in a simultaneous setup. We show that the method allows us to extract common modes of variability between solutions, while removing solution-specific spatio-temporal errors that arise from the processing strategies. In particular, the method efficiently filters out the spurious north–south stripes, which are caused in all likelihood by aliasing, due to the imperfect geophysical correction models and low-frequency noise in measurements. Comparison of the M-SSA GRACE solution with mass concentration (mascons) solutions shows that, while the former remains noisier, it does retrieve geophysical signals masked by the mascons regularization procedure.

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Section: Hydrological Signals In the Caspian And Aral Seas Regionsmentioning

confidence: 99%

Data-adaptive spatio-temporal filtering of GRACE data

Prevost

Chanard

Fleitout

et al. 2019

Geophysical Journal International

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“…Despite the Taklimakan and Gurbantunggut deserts being local sources of dust in Xinjiang Province, long-range transport of dust from the central Asian Aralkum, Karakum, Caspian and Kyzylkum deserts (Indoitu et al, 2012) could also contribute to the dust deposition and ambient PM 10 concentration in neighboring Xinjiang Province. Since the 1980s, the Aralkum Desert in Uzbekistan and Kazakhstan has become one of world's youngest deserts and a potential source of salt dust in east Asia (Indoitu et al, 2012;Groll et al, 2013;Opp et al, 2016). Climate also directly influences the atmospheric environment of arid and semi-arid areas (Wei et al, 2004;Zu et al, 2008;Huang et al, 2014).…”

Section: Factors Influencing Dust Deposition and Pm 10 Concentrationmentioning

confidence: 99%

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

et al. 2017

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Abstract. Eolian dust transport and deposition are important geophysical processes which influence global biogeochemical cycles. Currently, reliable deposition data are scarce in central and east Asia. Located at the boundary of central and east Asia, Xinjiang Province of northwestern China has long played a strategic role in cultural and economic trade between Asia and Europe. In this paper, we investigated the spatial distribution and temporal variation in dust deposition and ambient PM 10

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“…Agriculture is an important economic sector in Uzbekistan, accounting for about 23% of the GDP and 27% of the total employment (Kulmatov, 2014). Irrigated farming produces more than 90% of the agricultural yield and consumes more than 90% of the nation's available water resources annually (Uzbekistan N C, 2009;Dyhovniy and Schutter, 2011;Opp et al, 2016). However, due to the flat topography of many irrigated areas of the Aral Sea Basin (ASB) countries, and the Republic of Uzbekistan in particular, which has a low level of natural drainage and extensive areas of flood irrigation with poor-quality water, soil salinization and degradation of the irrigated land has occurred (Panin, 1958, Pankova et al, 1996Gafurova et al, 2005;SCNP, 2008;Kulmatov, 2018).…”

Section: Introductionmentioning

confidence: 99%

Challenges for the sustainable use of water and land resources under a changing climate and increasing salinization in the Jizzakh irrigation zone of Uzbekistan

et al. 2020

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Jizzakh Province in Uzbekistan is one of the largest irrigated areas in Central Asia without natural drainage. In combination with aridity, climate change and extensive irrigation practices, this has led to the widespread salinization of agricultural land. The aim of this study was to identify opportunities to improve the reclamation status of the irrigated area and how best to effectively use the water resources in Jizzakh Province based on investigations conducted between 1995 and 2016. A database of field measurements of groundwater levels, mineralization and soil salinity conducted by the provincial Hydro-Geological Reclamation Expeditions was used in the study. The total groundwater mineralization was determined using a portable electric conductometer (Progress 1T) and the chloride concentration was determined using the Mohr method. The soil salinity analyses were conducted by applying two different methods: (1) the extraction and assessment of the soluble salt content, and (2) using an SM-138 conductivity sensor applied to a 1:1 mixture of soil sample and water. The analyses of the monitoring results and the salt balance in the "irrigation water-soil-drainage water" system clearly demonstrated that the condition of the irrigated land in the province was not significantly improved. Under these conditions, the stability of crop yields is achieved mainly through the use of large volumes of fertilizer. However, excess amounts of mineral fertilizers can also cause the salinization of soils. The average groundwater salinization value in most of the irrigated land (75.3%) fluctuated between 1.1 and 5.0 g/L, while the values were less than 1.0 g/L in 13.1% of the land and in the range of 5.1-10.0 g/L in 10.5% of the land. During the period of 1995-2016 the salinization level of the irrigated land in Jizzakh Province increased slightly and the area could be divided into the following classes: no salinity (17.7% of the total area), low salinity (51.3%), moderate salinity (29.0%), and high salinity (2.0%). Detailed studies of the salt balance in irrigated land, the impact of climate change, increased fertilizer use, and repeated remediation leaching on the groundwater level and mineralization should be conducted in the future, due to the possibility of accelerated salinization, fertility decline, and reduced yields of agricultural crops. Citation: Rashid KULMATOV, Jasur MIRZAEV, Jilili ABUDUWAILI, Bakhtiyor KARIMOV. 2020. Challenges for the Rashid KULMATOV et al.: Challenges for the sustainable use of water and land resources under a changing… 91 sustainable use of water and land resources under a changing climate and increasing salinization in the Jizzakh irrigation zone of Uzbekistan. Journal of Arid Land, 12(1): 90-103. https://doi.

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Aeolian dust deposition in the southern Aral Sea region (Uzbekistan): Ground-based monitoring results from the LUCA project

Cited by 67 publications

References 33 publications

Data-adaptive spatio-temporal filtering of GRACE data

Data-adaptive spatio-temporal filtering of GRACE data

Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability

Challenges for the sustainable use of water and land resources under a changing climate and increasing salinization in the Jizzakh irrigation zone of Uzbekistan

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Aeolian dust deposition in the southern Aral Sea region (Uzbekistan): Ground-based monitoring results from the LUCA project

Cited by 67 publications

References 33 publications

Data-adaptive spatio-temporal filtering of GRACE data

Data-adaptive spatio-temporal filtering of GRACE data

Dust deposition and ambient PM&lt;sub&gt;10&lt;/sub&gt; concentration in northwest China: spatial and temporal variability

Challenges for the sustainable use of water and land resources under a changing climate and increasing salinization in the Jizzakh irrigation zone of Uzbekistan

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Dust deposition and ambient PM<sub>10</sub> concentration in northwest China: spatial and temporal variability