Яндекс.Метрика

POSSIBILITIES OF USING INTELLIGENT BUFFER ZONES FOR WATER MANAGEMENT IN RURAL AREAS IN THE LENINGRAD REGION


DOI 10.33305/2111-88

Issue № 11, 2021, article № 11, pages 88-94

Section: Development of rural territories

Language: Russian

Original language title: ВОЗМОЖНОСТИ ПРИМЕНЕНИЯ ИНТЕЛЛЕКТУАЛЬНЫХ БУФЕРНЫХ ЗОН ДЛЯ УПРАВЛЕНИЯ ВОДНЫМИ РЕСУРСАМИ НА СЕЛЬСКИХ ТЕРРИТОРИЯХ В ЛЕНИНГРАДСКОЙ ОБЛАСТИ

Keywords: AGRICULTURE, STATE SUPPORT, ECOLOGY, BIOGENIC LOAD, LAND RECLAMATION, LIMING, WETLANDS, EUTROPHICATION

Abstract: The increase in the intensity of agricultural land use and the increase in the area of reclaimed land in the Leningrad Region in recent years may contribute to a potential increase in the removal of biogens with groundwater from drainage systems. In conditions of limited state support, it is possible to finance priority environmental investment projects on the basis of public-private partnership, which will help to strengthen the interest of investors to participate in regionally significant socio-environmental projects and increase attention to the problems of water resources management in rural areas. In order to reduce the eutrophication processes, we calculated the cost of applying environmental measures –the construction of a wetland, the creation of intelligent buffer zones, liming, using the example of an experimental field in the v. Menkovo, Gatchinsky district of the Leningrad region. The introduction of measures to reduce the concentration of nutrients in the drains entering the drainage increases the cost of reconstruction and construction of reclamation facilities by 4.0-15.0%, which will require an increase in the share of subsidies from the state. It is necessary to reorient the state land reclamation program to allocate support primarily for those farmers and agricultural organizations that will be ready to implement filtering and trapping systems. The development of a modified methodology for assessing the quality of agricultural producers 'activities, using a parameter that characterizes the level of environmental ethics and aggressiveness of functioning, consistent with individual indicators of regional statistics, will help identify the recipients of "green" subsidies. Also, the creation of public maps based on digital data in combination with other socio-economic indicators (the density of the rural population, the average size of the farm) will allow for the correct distribution of efforts to combat sources of water pollution in rural areas of the Leningrad region.

Authors: Ponomarev Mikhail Aleksandrovich, Dibirova KHapsat Abusupianovna, Nikonova Natalia Aleksandrovna, Nikonov Aleksei Grigorevich