System of Warning about Dangerous Atmospheric Phenomena in the North Caucasus for Objects of Economic Activity

Materials Science Forum ◽

10.4028/www.scientific.net/msf.931.1019 ◽

2018 ◽

Vol 931 ◽

pp. 1019-1024

Author(s):

Vitaliy A. Shapovalov

Keyword(s):

Land Reclamation ◽

Detection System ◽

Radar Data ◽

Automated System ◽

Insurance Companies ◽

North Caucasus ◽

Weather Radars ◽

The North ◽

Lightning Detection ◽

Atmospheric Phenomena

This paper presents the developed program-mathematical software for receiving, archiving, analysis and display of radar, lightning and satellite data on clouds and precipitation, interfacing of meteorological information. The program of processing of meteorological information "GIMET-2010" is established on a network of weather radars DMRL-C of the Russian Federation. An automated system combining radar and lightning detection system information applies to the command posts of the uniformed services on the fight against hail and centers of severe storm warning. Following items are provided: a receiving and transmitting to consumers the operational radar data on the actual weather; the detection, identification, and warning of hazardous weather phenomena for airports and populated areas; measurement of the intensity and amount of precipitation for agriculture, hydrological forecasts and land reclamation; obtaining precipitation map for agriculture and insurance companies.

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Lightning detection system in the North Caucasus

Russian Meteorology and Hydrology ◽

10.3103/s1068373913010019 ◽

2013 ◽

Vol 38 (1) ◽

pp. 1-5 ◽

Cited By ~ 8

Author(s):

A. Kh. Adzhiev ◽

V. N. Stasenko ◽

V. O. Tapaskhanov

Keyword(s):

Detection System ◽

North Caucasus ◽

The North ◽

Lightning Detection

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INVESTIGATION OF RADAR AND ELECTRICAL CHARACTERISTICS OF THUNDERCLOUDS SEEDED WITH A GLACIOGENIC REAGENT IN KARNATAKA, INDIA

Meteorologiya i Gidrologiya ◽

10.52002/0130-2906-2021-8-112-122 ◽

2021 ◽

pp. 112-122

Author(s):

A.A. SIN'KEVICH ◽

◽

B. BOE ◽

S. PAWAR ◽

YU. P. MIKHAILOVSKII ◽

...

Keyword(s):

Network Data ◽

Lightning Flash ◽

Electrical Characteristics ◽

North Caucasus ◽

Flash Rate ◽

Convective Clouds ◽

The North ◽

Lightning Detection ◽

Karnataka State ◽

Order Of Magnitude

Characteristics of developing convective clouds (Cu) in Karnataka state (India) during the thunderstorm formation are analyzed using weather radar and lightning detection network data. It is noted that radar characteristics of Cu which produced lightning, exceed those where lightning does not form. The study has shown that the number of negative cloud-to-ground strokes exceeds the number of positive ones by an order of magnitude. The radar characteristics of clouds in India and the North Caucasus are compared. Significant differences in lightning flash rates over the mentioned regions are registered. A low correlation is found between the supercooled volume and the flash rate of negative lightning. The paper also presents the results of studying the dynamic characteristics of four Cu seeded with a glaciogenic reagent. The thunderstorm risk is estimated for the clouds. It is shown that the seeding increases a probability of lightning events.

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Indicators of optimal soils conditions for crop growing and preserving soil fertility in Rostov region and North Caucasus under irrigation conditions

E3S Web of Conferences ◽

10.1051/e3sconf/201913501086 ◽

2019 ◽

Vol 135 ◽

pp. 01086 ◽

Cited By ~ 1

Author(s):

Viktor Zhurba ◽

Nadezhda Gordeeva ◽

Irina Mehantseva ◽

Alina Golubeva ◽

Yana Kabanova ◽

...

Keyword(s):

Soil Fertility ◽

Soil Properties ◽

Land Reclamation ◽

Plant Productivity ◽

Agricultural Crops ◽

North Caucasus ◽

The North ◽

Rostov Region ◽

Favorable Conditions ◽

The Relationship

The tasks of agrotechnical and land-reclamation techniques in creating favorable conditions for the agricultural crops growth are determined. Maintaining high soil fertility and good land-reclamation. Soil fertility model with optimal indicators providing a combined expanded reproduction of soil fertility is proposed. Main indicators of potential soil fertility are considered. Indicators and properties of soils are captured, the relationship between plant productivity and soils quality is made. The adverse soil properties of the North Caucasus that include alkalescency and alkalinity are determined. Complex of agrotechnical and land-reclamation techniques for improving adverse soils is proposed.

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