Автором обоснована целесообразность внедрения современных моделей создания бизнес-процессов организации в контексте основных государственных программ развития цифровой экономики в органическом сельском хозяйстве. В работе описаны основные бизнес-процессы электронной торговли свежими органическими продуктами местного производства в Республике Беларусь; описана последовательность, основные элементы и составлена схема бизнес-процессов интернет-магазина с использованием нотации Business Process Model and Notation (BPMN), реализованной посредством программного продукта Bizagi Modeler; сформулированы основные преимущества цифровизации бизнес-процессов интернет-магазина.

The author justifies the expediency of introduction of modern models of creation of business processes of organization in the context of main state programs of development of digital economy in organic agriculture. The paper describes the main business processes of electronic commerce of fresh organic products of local production in the Republic of Belarus; it describes the sequence, main elements and a diagram of the business processes of an online store using the Business Process Model and Notation (BPMN) implemented through the software product Bizagi Modeler; formulates the main advantages of digitalization of business processes of an Internet shop.

Добыча и переработка нефти связана с риском утечек нефти и нефтепродуктов, что приводит к загрязнениям почвы, водных поверхностей и сточных вод.
Для удаления нефтяных загрязнений наиболее широко применяются сорбционные способы. Проведенные исследования показали, что модифицирование поверхности высокодисперсного кремнезема ионами металлов, позволяет значительно повысить его сорбционную активность по отношению к нефти и нефтепродуктам.

Oil extraction and refining is associated with the risk of oil and petroleum product
leaks, which leads to contamination of soil, water surfaces and wastewater. Sorption
methods are most widely used to remove oil pollution. The conducted studies have
shown that modifying the surface of silica with metal ions can significantly increase
its sorption activity in relation to oil and petroleum products.

For large cities with developing infrastructures, optimising water supply systems
plays a crucial role. However, without a clear understanding of the network structure
and water consumption patterns, addressing these challenges becomes significantly more
complex. This paper proposes a methodology for geospatial data analysis aimed at solving
two key tasks. The first is the delineation of service zones for infrastructure objects to
enhance system manageability. The second involves the development of an approach for
the optimal placement of devices to collect and transmit hydraulic network parameters,
ensuring their alignment with both water supply sources and serviced areas. The study
focuses on data from the water supply network of a city with a population exceeding
half a million people, where hierarchical clustering using Ward’s method was applied to
analyse territorial distribution. Four territorial clusters were identified, each characterised
by unique attributes reflecting consumer concentration and water consumption volumes.
The cluster boundaries were compared with the existing service scheme of the system,
confirming their alignment with real infrastructure. The quality of clustering was further
evaluated using the silhouette coefficient, which validated the high accuracy and reliability
of the chosen approach. The paper demonstrates the effectiveness of cluster boundary
visualisation for assessing the uniform distribution of pressure sensors within the urban
water supply network. The results of the study show that integrating geographic data
with water consumption information not only facilitates effective infrastructure planning
and resource allocation but also lays the foundation for the digitalization of the hydraulic
network, a critical component of sustainable development in modern smart cities.