SYSTEMATIC DATA PROCUREMENT IN AN OWL-EMBEDDED INFORMATION AND ANALYTICAL FRAMEWORK FOR THE MONITORING OF WATER RESOURCES IN THE ILE-BALKHASH BASIN
Journal Title: Scientific Journal of Astana IT University - Year 2023, Vol 15, Issue 15
Abstract
The world is facing an escalating water shortage crisis, with dire consequences for ecosystems, human health, and socio-economic development. This article explores the multifaceted nature of the water shortage problem of Ile-Balkhash basin that falls under the jurisdiction of the Balkhash-Alakol Republic of Kazakhstan, its underlying causes, and the complex web of challenges it presents. The predicament in the Ile-Balkhash basin is a complex interplay of various factors. Climate change has led to erratic precipitation patterns, exacerbating the problem. The simultaneous rise in population places additional stress on the already limited water resources. Moreover, inefficient water management practices have perpetuated the issue, hindering the equitable distribution of water. The challenge of conducting a comprehensive basin analysis is a formidable task due to the numerous variables and indicators involved. It demands an enormous amount of time and effort. To address this issue, a web application framework integrated with the Web Ontology Language database, allowing for the execution of advanced queries to extract valuable insights from various objects and indicators, has been developed. The database underpinning this system is meticulously compiled, drawing upon data from the Hydrological monitoring of water bodies and the National Hydrometeorological Service of the Republic of Kazakhstan. These sources provide critical data that forms the bedrock of the analysis. Recognizing the importance of data storage and management in this endeavor, integrated components have been established. These components play a pivotal role in structuring the diverse data sources and maintaining their currency. The water shortage issue in the Ile-Balkhash basin serves as a stark reminder of the urgency with which such crises must be addressed. The tools and methods offer hope and underscore global water management sustainability.
Authors and Affiliations
Meiran Zhiyenbayev, Assel Ospan, Nadezhda Kunicina, Madina Mansurova, Roman Titkov
MATHEMATICAL FRAMEWORK FORMULATION AND IMPLEMENTATION FOR HYPERSPECTRAL AEROSPACE IMAGES PROCESSING
This paper proposes a preprocessing algorithm for aerospace hyperspectral images based on a mathematical apparatus effectively applied in pre-compression transformation problems. In particular, several methods have been...
SUBJECT BEHAVIOR DETECTION AND ANALYSIS BASED ON COMPUTER VISION TECHNOLOGY
This article discusses the current problem of identifying violations during distance learning during the final certification. The coronavirus (COVID-19) pandemic has served as a stimulus for innovation in the field of...
PLANNING OF THE KNOWLEDGE CONTENT OF THE EDUCATIONAL PROGRAM USING ONTOLOGICAL ENGINEERING AND DESIGNCOMPETENCE APPROACH
The article considers an innovative method of forming knowledge components of planned training, based on the concepts and mechanisms of ontological engineering, projectoriented learning technology and the graduate’s comp...
INFORMATION TECHNOLOGY OF INTEGRATED RISK MANAGEMENT OF SCIENTIFIC PROJECTS UNDER UNCERTAINTY AND BEHAVIORAL ECONOMY
The relevance of the topic is that currently the development of information technology allows to implement integrated risk management of scientific projects, which, in turn, expands the range of opportunities for projec...
DEEP LEARNING-BASED FACE MASK DETECTION USING YOLOV5 MODEL
Based on the background of rapid transmission of novel coronavirus and various pneumonia, wearing masks becomes the best solution to effectively reduce the probability of transmission. For a series of problems arising fr...