Preview

Science. Innovations. Technologies

Advanced search

Optimizing the structure of agricultural production with account of hail forecasts

https://doi.org/10.37493/2308-4758.2024.3.5

Abstract

Hazardous weather phenomena cause enormous damage to the entire national economy. Hail storms, heavy rains, frosts, droughts, sand and dust storms are detrimental to agriculture. In this regard, currently one of the crop production problems is to reduce the risks associated with dangerous weather phenomena. The object of this study is the optimization of the structure of agricultural production with account of hail storms. To decrease hail storms damage, it is customary to use active methods related to the impact on hail processes in order to suppress them, and passive methods, namely the establishment of various anti-hail nets. The study proposes a method of decision-taking theory as a part of mathematical modeling methods: optimization of the structure of cultivated crops taking into consideration the peculiarities of their sensitivity to hail damage. In addition, adjustments are being made to the effectiveness of measures to decrease hail storms damage. Measures can be developed by the director if the company is provided with a hail forecast. The optimization problem is solved with the reference to the adjusted damageability coefficient introduced in accordance with the hail-warning forecast up to three days. To solve the problem, numerical experiments are carried out using the «Solution Search» add-in for Excel. In the course of the work, it was found that the proposed approach, which requires the formation of an action plan taking into account the hail forecast, is highly effective in decreasing hail storms damage and regulating the amount of profit from crop production. According to the results of the research, it was concluded that providing the industry with a hail-warning forecast up to three days will reduce the risks from hail storms.

About the Authors

L. T. Sozaeva
High-Mountain Geophysical Institute
Russian Federation

Lezhinka T. Sozaeva — Cand. Sci. (Phys.-Math.), Associate Professor, Senior Research Associate at the Laboratory of Atmospheric Con­ctive Phenomena

Scopus ID: 57204527832, Researcher ID: AIC-6568-2022

2, Lenin Ave., Nalchik, 360001



A. Kh. Kagermazov
High-Mountain Geophysical Institute
Russian Federation

Artur Kh. Kagermazov — Cand. Sci. (Phys.-Math.), Head of the Laboratory of Atmospheric Convective Phenomena

Scopus ID: 55185153100

2, Lenin Ave., Nalchik, 360001



References

1. Tlisov MI, Taumurzaev AKh, Fedchenko LM, Khuchunaev BM. Physical characteristics of hail and damage to agricultural crops. Trudy Vysokogornogo geofizicheskogo instituta = Proceedings of the High-Mountain Geophysical Institute. 1987;(74):37-144. (In Russ.).

2. Taumurzaev AKh. Methodological principles for surveying, accounting and assessing the degree of damage to agricultural crops from hail. In Physics of the formation of hail processes and active influences on them. M.: Gidrometeoizdat; 1988. P. 104-115. (In Russ.).

3. Berville P, Jean C, Lescure A. Relations entre les parameters physique, des chutes de grele et les degats occasions aux cultures. Contr. GREFA ACH. 1980;(39):59-65.

4. Abshaev AM, Abshaev MT, Barekova MV, Malkarova AM. Guidelines for organizing and conducting anti-hail work. Nalchik: Pechatnyy dvor; 2014. 508 p. (In Russ.).

5. Ostrovskaya IE. Economic and mathematical modeling in the agro-industrial complex: a textbook. Ussuriysk: Publishing House of the Primorsky State Agricultural Academy; 2015. 126 p. (In Russ.).

6. Shaimardanov VM. Monitoring and research of dangerous hydrometeorological processes and phenomena on the territory of the Russian Federation based on multifunctional methods and systems for long-term storage of their parameters: dis. doc. physics and mathematics sci. Obninsk: All-Russian Research Institute of Hydrometeorological Information – World Data Center; 2020. 342 p. (In Russ.).

7. Inyukhin VS, Kushchev SA, Suspitsina YuV. Climatic features of hail in two regions of the Central Caucasus in the beginning of the 21st century. Trudy Vysokogornogo geofizicheskogo instituta = Proceedings of the High Mountain Geophysical Institute. 217;(100):45-52. (In Russ.).

8. Balkizova AKh. Analysis of the possible consequences of climate change and modeling of risk reduction in agriculture associated with hazardous weather phenomena: dis. Ph.D. physics and mathematics sci. Nalchik: Federal State Budgetary Institution “High Mountain Geophysical Institute”; 2016. 148 p. (In Russ.).

9. Kagermazov AKh. Hail forecast based on the output data of the global atmospheric model (T254 NCEP). Meteorologiya i gidrologiya = Meteorology and Hydrology. 2012;(3)28-34. (In Russ.).

10. Kagermazov AKh, Sozaeva LT. Hail forecast with a lead time of up to three days based on the output data of the global atmospheric model. Trudy Glavnoj geofizicheskoj observatorii = Proceedings of the Main Geophysical Observatory. 2020;(598):204-214. (In Russ.).

11. Kagermazov AKh, Sozaeva LT. Validation of forecast fields of meteorological elements of the global atmospheric model for medium periods according to aerological sounding data for the Central part of the North Caucasus. Trudy Glavnoj geofizicheskoj observatorii = Proceedings of the Main Geophysical Observatory. 2020;(599):104-114.

12. Sozaeva LT, Kagermazov AKh. Hail forecast using the discriminant function based on the output data of the global atmospheric model. Mezhdunarodnyj nauchno-issledovatel’skij zhurnal = International Scientific Research Journal. 2023;11(137). Available from: https://research-journal.org/archive/11-137-2023-november/10.23670/IRJ.2023.137.85 [Accessed 17 November 2023]. (In Russ.). https://doi.org/10.23670/IRJ.2023.137.85

13. Certificate of registration of the computer program No. 2018661467 of the Russian Federation. Alternative hail forecast based on output data from the global atmospheric model GFS NCEP “PROGNOZ GRADA”: No. 2018618374: declared 08.06.2018: registered 09.07.2018 / Kagermazov AKh; copyright holder of the Federal State Budgetary Institution “High Mountain Geophysical Institute”.


Review

For citations:


Sozaeva L.T., Kagermazov A.Kh. Optimizing the structure of agricultural production with account of hail forecasts. Science. Innovations. Technologies. 2024;(3):95–110. (In Russ.) https://doi.org/10.37493/2308-4758.2024.3.5

Views: 93


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 2308-4758 (Print)