Regional risks of artificial forestation in the steppe zone of Kazakhstan (case study of the green belt of Astana)

Кабанова, Светлана; Zenkova, Zhanna N.; Danchenko, M.A.

doi:10.1088/1755-1315/211/1/012055

Cited by 5 publications

(2 citation statements)

References 12 publications

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“…However, further expansion is necessary and shelterbelts are expected to cover 300,000 hectares by 2030. Kabanova et al [46] suggested that the conditions of Nursultan are unfavorable for green construction because of the continental climate, harsh wind regime, and low-productive soils with low forest vegetation qualities. Nursultan is a desert grassland area; therefore, careful planting is required to design a shelterbelt configuration that achieves the project's purpose with the lowest number of trees and low water consumption.…”

Section: Introductionmentioning

confidence: 99%

Shelter Efficiency of Various Shelterbelt Configurations: A Wind Tunnel Study

Wang

et al. 2022

Atmosphere

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The construction of protective forests in Nursultan is key to reducing near-surface wind speeds and snowstorm effects in urban areas. This study analyzed the effects of the number of plant rows and spacing of the shelterbelts on the flow field around protective forests to evaluate the wind protection benefits of the existing configuration of the shelterbelt in Nursultan and guide the construction of protective forests. We measured the airflow fields of four shelterbelts with different numbers of rows, seven double pure shelterbelts, and double mixed shelterbelts of arbors and shrubs with different spacings. The results showed that the airflow field around the shelterbelts can be divided into five characteristic regions based on shelter efficiency: a deceleration region before the shelterbelt, acceleration region above the canopy, strong deceleration region in the canopy layer, deceleration region behind the shelterbelt, and recovery region behind the shelterbelt. In terms of windproof ability, the wind protection benefits of a shelterbelt with six rows are the best in a single shelterbelt. Behind the shelterbelt, the wind protection benefits of double pure shelterbelts are greater than that of double mixed shelterbelts of arbor and shrub. On the contrary, the windbreak benefits of the latter are stronger than those of the former between the two shelterbelts.

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Section: Introductionmentioning

confidence: 99%

Shelter Efficiency of Various Shelterbelt Configurations: A Wind Tunnel Study

Wang

et al. 2022

Atmosphere

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“…Usually such knowledge is ignored, although it can be used to advantage, since it has long been known that additional information helps to improve the quality of statistical procedures [6][7][8][9][10][11][12][13]. It is also worth noting that the use of information about the quantile has already been considered in a number of works [13][14][15][16][17][18], using the method of projecting the estimate of the distribution function into an a priori class.…”

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The economic order quantity taking into account additional information about the known quantile of the cumulative distribution function of the product’s sales volume

Zenkova¹,

Musoni²

2020

Bus. Inform.

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In modern logistics and supply chain management, the task of inventory management is paramount. The total costs of the enterprise and consequently, its profit, directly depend on the accuracy of calculating the volumes and terms of orders. In this work, the problem of increasing the accuracy of calculating the economic order quantity for a product was solved by involving additional information about the known quantile of a given level of the distribution function of the volume of product's demand. The quantile information was used to recalculate the annual demand for the product, based on a modified estimator of the sales expectation for the period. The modified estimator is asymptotically unbiased, normal, and more accurate than the traditional sample mean in the sense of mean squared error. New formulas for calculating the economic order quantity and its confidence interval were presented and tested on real data on the monthly sales volumes of goods of a large retail store network over two years. It is shown that the classic way of mean calculation led to an underestimation of the volume of the economic order quantity, which in turn increased the risk of a shortage, and hence a drop in the quality of logistics services. The new calculation method also showed that the period between orders should be one day shorter. The work is practically significant; according to its results, recommendations are given to the enterprise.

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