Regions Of Kazakhstan Research Articles

Study of Anxiety Among Older People in Kazakhstan and Factors Affecting This Indicator

<b>Aim:</b> The purpose of this research was to study of anxiety among older people in Kazakhstan and factors affecting this indicator.<br /> <b>Methods:</b> A cross-sectional survey was conducted with 221 randomly selected elderly people from different regions of Kazakhstan. The survey covered questions of socio-demographic type and also used the GAD-7 (Generalized Anxiety Disorder-7).<br /> <b>Results:</b> The majority of participants showed low levels of anxiety on the test. Nevertheless, a significant proportion of older adults experienced mild and moderate anxiety, accounting for 33% and 23.1%, respectively. The analysis showed that age (OR = 0,852, 95% CI: 0,779-0,931, p < 0,001), gender (OR = 8,167, 95% CI: 3,232-20,642, p < 0,001), level of education (OR=9,928, CI 95%: 3,760 - 26,212, p < 0,001) and living conditions (OR=0,167, 95% CI: 0,060-0,467, p = 0,001) have a statistically significant impact on the anxiety level of this population group.<br /> <b>Conclusion:</b><b> </b>The results of the analysis confirm the importance of developing and implementing a set of measures aimed at improving the quality of life of older people, taking into account the individual characteristics and needs of each person. The following measures can be suggested to improve the quality of life of older persons: organize social activity and community involvement programs through clubs and activities; establish accessible health and social service centers where older persons can receive qualified care; use technology, such as mobile applications and smart devices, to facilitate daily life, including telemedicine and home-based services.

Identification of Quantitative Trait Loci Associated with Plant Adaptation Traits Using Nested Association Mapping Population.

This study evaluated 290 recombinant inbred lines (RILs) of the nested association mapping (NAM) population from the UK. The population derived from 24 families, where a common parent was "Paragon," one of the UK's spring wheat cultivar standards. All genotypes were tested in two regions of Kazakhstan at the Kazakh Research Institute of Agriculture and Plant Industry (KRIAPI, Almaty region, Southeast Kazakhstan, 2019-2022 years) and Alexandr Barayev Scientific-Production Center for Grain Farming (SPCGF, Shortandy, Akmola region, Northern Kazakhstan, 2019-2022 years). The studied traits consisted of plant adaptation-related traits, including heading date (HD, days), seed maturation date (SMD, days), plant height (PH, cm), and peduncle length (PL, cm). In addition, the yield per m2 was analyzed in both regions. Based on a field evaluation of the population in northern and southeastern Kazakhstan and using 10,448 polymorphic SNP (single-nucleotide polymorphism) markers, the genome-wide association study (GWAS) allowed for detecting 74 QTLs in four studied agronomic traits (HD, SMD, PH, and PL). The literature survey suggested that 16 of the 74 QTLs identified in our study had also been detected in previous QTL mapping studies and GWASs for all studied traits. The results will be used for further studies related to the adaptation and productivity of wheat in breeding projects for higher grain productivity.

Promising sorghum culture as a raw material for food production in arid regions of Kazakhstan

Global warming also brings with it global droughts. In recent years, almost the whole of Europe and part of the Asian part of Russia and Kazakhstan have been under their influence. All this suggests that the time has come to take a closer look at crops that were not widespread before. One of such crops, to which recently more and more in[1]terest has been shown in various countries of the world, is sorghum. This is not a new crop for Kazakhstan, but in the emerging natural and climatic conditions it may take a more significant place in the food industry. The article presents studies of the use of sorghum flour in the preparation of shortbread cookies. The tasting evaluation showed the highest average score in the 1st variant (50% wheat flour and 50% sorghum flour) - 4.52, which was characterized by friability, pleasant taste and aroma, in the 2nd variant (100% sorghum flour), respectively, 4.28, under control (100% wheat flour) - 4.32 points. The highest humidity of the sample was at the control – 11.3%, with almost identical indicators for 1 and 2 variants, respectively 8.1 and 8.3%. The wetting index was the highest when using a mixture of wheat flour and sorghum in a ratio of 50:50 and only one wheat flour, respectively 210.2 and 204.9%. The conducted experience has shown the prospects of using non–traditional raw materials - grain sorghum in the manufacture of shortbread cookies, but requires further study and improvement of recipes and production technologies.

Immigrants Through the Eyes of Citizens of Kazakhstan: The Attitude of the Host Society to the Immigrants’ Health

This article examines the attitudes of Kazakhstani citizens towards health problems among immigrants. Respondents (N=401) from different regions of Kazakhstan took part in the study in 2023. According to the results of the study, it was found that (1) male respondents demonstrated significantly higher engagement with news about migrants compared to females. (2) Age and level of education were not associated with news engagement. (3) The probability of emigration correlated negatively with age but positively with education level, and positively with frequency of following migration news. (4) Individuals with conservative ideological orientations and liberal economic perspectives were more likely to follow migration news. (5) Attitudes towards immigrant health varied, with the majority supporting continuous health monitoring but divided opinions on whether immigrants pose a danger to public health. (6) Socio-demographic factors such as language, gender, experience living abroad, and ideological orientation influenced attitudes toward immigrant health. Therefore, understanding the complex attitudes of citizens towards immigrant health issues is essential for developing targeted interventions and policies that promote integration and address the diverse needs of both immigrants and the host population in Kazakhstan.

Using Pseudo-Color Maps and Machine Learning Methods to Estimate Long-Term Salinity of Soils

Soil salinity assessment methods based on remote sensing data are a common topic of scientific research. However, the developed methods, as a rule, estimate relatively small areas of the land surface at certain moments of the season, tied to the timing of ground surveys. Considerable variability of weather conditions and the state of the earth surface makes it difficult to assess the salinity level with the help of remote sensing data and to verify it within a year. At the same time, the assessment of salinity on the basis of multiyear data allows reducing the level of seasonal fluctuations to a considerable extent and revealing the statistically stable characteristics of cultivated areas of land surface. Such an approach allows, in our opinion, the processes of mapping the salinity of large areas of cultivated lands to be automated considerably. The authors propose an approach to assess the salinization of cultivated and non-cultivated soils of arid zones on the basis of long-term averaged values of vegetation indices and salinity indices. This approach allows revealing the consistent relationships between the characteristics of spectral indices and salinization parameters. Based on this approach, this paper presents a mapping method including the use of multiyear data and machine learning algorithms to classify soil salinity levels in one of the regions of South Kazakhstan. Verification of the method was carried out by comparing the obtained salinity assessment with the expert data and the results of laboratory tests of soil samples. The percentage of “gross” errors of the method, in other words, errors when the predicted salinity class differs by more than one position compared to the actual one, is 22–28% (accuracy is 0.78–0.72). The obtained results allow recommending the developed method for the assessment of long-term trends of secondary salinization of irrigated arable land in arid areas.

Application of Electrical Prospecting Methods for Monitoring the Condition of Earth Dam in the Almaty Region of Kazakhstan

This article deals with the issue of diagnostics of the physical condition of earthen dams, taking into account seasonal changes in the water level of hydraulic structures using electrical exploration methods. The simplicity of the method, the accuracy of measurements of geophysical parameters, and the availability of software packages for the processing, interpretation, and visualization were the basis for the choice of method. The method of electrical resistivity and self-potential was chosen. The methodology, technique, technology of field surveys, processing, and geological interpretation of the study results are given. A comparative analysis of the obtained geophysical parameters of seasonal measurements is given. The research results are given in the form of sections of the resistivity model and self-potential isolines.

About the experience of medical-geographical atlas mapping of the North Kazakhstan region

The article is devoted to medical and geographical atlas mapping. The results and accumulated materials of medical and geographical research of the North Kazakhstan region are presented, systematized and collected in a single key in the form of a complex of maps and models - a thematic medical-geographical atlas. The development of the atlas was based on the generally accepted principles of integrated system mapping. An extensive array of literary, reference, statistical, and cartographic data was used to create the atlas. Geoinformation mapping was performed in the program ArcGIS 10.8. (ESRI Inc.). The stages of development, structure, and content of the atlas are described. The atlas includes maps reflecting the natural, socio-economic factors of the formation of the health of the population of the region, demographic characteristics. In addition, it presents a series of maps on the nosogeography of natural focal diseases, the organization of the health system, and natural healing resources. The developed atlas is of a reference and informational nature and is intended for specialists of the healthcare system of the North Kazakhstan region, geographers, ecologists, as well as persons interested in medical and geographical research and mapping.

GENOMIC CHARACTERIZATION AND DRUG RESISTANCE PROFILES OF MYCOBACTERIUM TUBERCULOSIS LINEAGE 2 IN KAZAKHSTAN: PRELIMINARY RESULTS

Tuberculosis remains a highly contagious infection, with an estimated annual transmission of about 10 million people globally, as reported in the latest Global Tuberculosis Report by the World Health Organization (WHO). The primary objective of this research is to determine the geographical distribution and drug resistance profiles of Mycobacterium tuberculosis lineage 2, which is predominant in Kazakhstan. A total of over 200 clinical isolates of M. tuberculosis complex (MTBC) were collected from regional phthisiopulmonology centers across all regions of Kazakhstan between 2012 and 2024. Clinical isolates were genotyped using a PCR assay targeting the dnaA-dnaN:IS6110 region, specific for the modern Beijing genotype. Subsequently, selected samples were sequenced using the Illumina MiSeq platform. The TB-Profiler prediction tool was utilized to identify resistance against anti-tubercular drugs and to genotype the lineages. A total of 102 clinical isolates belonging to the L2 modern Beijing genotype were selected for whole-genome sequencing (WGS). The L2.2.1 genetic cluster was identified as the only sublineage present, according to Coll et al.'s classification. More than half of the specimens were found to be multidrug-resistant (n=60, 59%). Among the analyzed samples, monoresistance to isoniazid (IHN) was detected in 17 (16%) cases, while 14 (14%) cases were drug-susceptible TB. Additionally, 7 (7%) cases were identified as Pre-XDR (resistant to rifampicin, isoniazid, and either fluoroquinolones or second-line injectable drugs), 3 (3%) cases were monoresistant to streptomycin, and 1 (1%) case exhibited resistance to rifampicin only. Regional distribution of samples is as follows: Aktau and Kostanay are 14% (n=13/102), Kyzylorda (n=12/102), Taldykourgan (n=11/102), Pavlodar, Karaganda, and Atyrau are at 6% (6/102); Semey is 10% (n=9/102), Almaty and Taraz at 4%, and Shymkent city is 1% (n=1/102). This ongoing research is focused on resistance patterns, genotypes, and transmission dynamics among different regions of Kazakhstan using next-generation sequencing, followed by bioinformatics analysis and interpretation of the data.

Assessment of the current state of myrmical complexes in the territory of the Meshchansky forest

The role of ants in forests is an open and ambiguous question in myrmecology. Some scientists attribute the functionality of ants to the control of pest populations, others consider ants an important component in the forest ecosystem, others point to their special significance in maintaining the balance of forest communities.The study of ant hills occurrence in the forests of North-Kazakhstan region is necessary in order to identify the dynamics of ant populations, to determine the factors affecting their distribution, and to develop recommendations for the conservation of biodiversity of forest ecosystems of the North-Kazakhstan region. This study will provide data on the status of anthills and their role in forest communities, which is important for the development of effective forest management strategies and preservation of the natural balance of anthills in the forests of North Kazakhstan region.

Molecular identification of Baylisascaris melis (Gedoelst, 1920) from the Eurasian badger (Meles meles) and ascarids from other wild carnivores in Kazakhstan.

The presence of gastrointestinal nematodes, including zoonotic ascarids, in wild canids, felids and mustelids as definitive hosts in Central Asian countries has been documented in many studies based on traditional morphological methods. In contrast, relevant data for the badger are scarce. The aim of this study was the molecular identification of ascarid nematodes from five wild carnivore species in different regions of Kazakhstan. A total of 211 adult ascarids were collected from gray wolves (Canis lupus, 8 of 83 infected with 2-6 Toxascaris leonina), red foxes (Vulpes vulpes, 26 of 53, with 2-8 Toxascaris leonina), corsac foxes (Vulpes corsac, 6 of 11, 3-6 Toxascaris leonina), lynx (Lynx lynx, 2 of 3, with 2-5 Toxocara cati) and badgers (Meles meles, 2 of 4, with 2-7 Baylisascaris melis). Genomic DNA was extracted from the worms and ribosomal DNA, including the first and second internal transcribed spacer genes, was amplified by polymerase chain reaction using specific oligonucleotide primers and then sequenced. Toxascaris leonina, but not Toxocara canis, was molecularly identified in the wild canids, Toxocara cati in the lynx and Baylisascaris melis in the badger. The maximum likelihood phylogenetic tree showed three distinct clades: the canid Toxascaris leonina was placed in one clade, Toxocara cati in another and Baylisascaris melis in a third. The study provides the world's first molecular data and phylogenetic analysis of Baylisascaris melis, identified for the second time since its description over 100 years ago. This species was shown to be genetically distinct from other Baylisascaris spp. (B. columnaris, B. procyonis, B. transfuga, B. devosi). The possible zoonotic significance of ascarids from wild carnivores is discussed in the light of conditions in Central Asia.

Perceived and Physical Quality of Drinking Water in Pavlodar and Akmola Rural Regions of Kazakhstan

Water quality in rural areas of developing countries is a notable problem. In this article, drinking water quality from eleven villages in the Pavlodar and the Akmola region of Kazakhstan was analyzed. Questionnaires of village respondents and chemical components of drinking water were analyzed to identify the quality of drinking water. In each of the villages, the chemical content varied depending on the source of drinking water. In the rural Pavlodar region, we observed that some cations and anions exceed the MPC. Respondents’ perceptions of water quality are associated with water sources and physical components. For example, respondents’ satisfaction by inside tap of central water systems’ water was high, the answers of those whose water source was private wells showed more mixed satisfaction levels. The drinking water physical quality indicators are closely related to water mineralization and general hardness. The total microbial count of drinking water has a significant relationship with respondents’ complaints about unpleasant taste, odor, and salinity. The relationship between perceived and physical water quality is a critical aspect of water resource management. By bridging the gap between scientific assessments and public perceptions, we can enhance public health, build trust in water management systems, and promote sustainability of water use.

Identification of quantitative trait loci of pod dehiscence in a collection of soybean grown in the southeast of Kazakhstan.

Soybean [Glycine max (L.) Merr.] is one of the important crops that are constantly increasing their cultivation area in Kazakhstan. It is particularly significant in the southeastern regions of the country, which are currently predominant areas for cultivating this crop. One negative trait reducing yield in these dry areas is pod dehiscence (PD). Therefore, it is essential to understand the genetic control of PD to breed new cultivars with high yield potential. In this study, we evaluated 273 soybean accessions from different regions of the world for PD resistance in the conditions of southeastern regions of Kazakhstan in 2019 and 2021. The field data for PD suggested that 12 accessions were susceptible to PD in both studied years, and 32 accessions, in one of the two studied years. The genotyping of the collection using a DNA marker for the Pdh1 gene, a major gene for PD, revealed that 244 accessions had the homozygous R (resistant) allele, 14 had the homozygous S (susceptible) allele, and 15 accessions showed heterozygosity. To identify additional quantitative trait loci (QTLs), we applied an association mapping study using a 6K SNP Illumina iSelect array. The results suggested that in addition to major QTL on chromosome 16, linked to the physical location of Pdh1, two minor QTLs were identified on chromosomes 10 and 13. Both minor QTLs for PD were associated with calmodulin-binding protein, which presumably plays an important role in regulating PD in dry areas. Thus, the current study provided additional insight into PD regulation in soybean. The identified QTLs for PD can be efficiently employed in breeding for high-yield soybean cultivars.

New Porphyry Copper–Molybdenum Ore Occurrence in Arganaty Granites of the Eastern Balkhash (Kazakhstan): Geology, Geochemistry, and Mineralogy

In the Balkhash region of Kazakhstan, there are numerous copper and copper–molybdenum deposits, including superlarge Aktogay, Aidarly, Kounrad, and large Sayak deposits. Despite the proximity to these ore districts, the Arganaty district of the Eastern Balkhash region has not attracted significant interest in terms of exploration for many years. Our recent work has identified previously undetected copper–molybdenum mineralization in the granites of the Arganaty massif and has provided a new perspective on the economic potential of this area. In this study, based on the geology, mineralogy, and geochemistry of the Arganaty granites using data from XRF and ICP-MS methods, we reassessed the geological structure and prospectivity of this area. Our investigations have found that the intrusive rocks of the Arganaty massif belong to I-type granites and were formed in a subduction setting rather than a collision setting, as was previously believed. This also indicates the high prospects of the territory in the context of the possible discovery of large Cu or Cu–Mo deposits.

Early diagnosis of Trichinella spiralis and Trichinella nativa: Expression of the serine protease gene at the invasive intestinal and muscular larva stages.

Diagnosis of trichinellosis at the intestinal stage during larval development is the primary challenge in the early detection and treatment of trichinellosis. The use of serine protease as a diagnostic marker for serological tests has been the subject of various studies, but data on Trichinella nativa serine protease in the intestinal phase are still insufficient for a proper diagnosis. This study aimed to establish the duration of the intestinal phase for early diagnosis and to determine the level of expression of the serine protease gene in T. nativa and Trichinella spiralis larvae. We used European isolates from T. spiralis pigs and T. nativa larvae isolated from spontaneously infected wild carnivorous animals (wolf, Karaganda region) in Central Kazakhstan. Isolation of larvae from the meat of infected animals was carried out using the compressor method. For two species of Trichinella, 36 mice (in each group 18 mice) were infected with 250 larvae and euthanized by intramuscular injection of xylazine followed by an intravenous overdose of anestofol at 3, 5, 7, 14, 21, and 30 dpi (each day 3 infected mice) and one control group (3 mice). Sequencing and bioinformatics methods were used to determine the DNA and cDNA of the serine protease gene, and molecular methods (DNA extraction, reverse transcription polymerase chain reaction, and sequence) were used to measure the accumulation of serine protease transcripts in isolated larvae. The results showed differences in the duration of intestinal phase between T. spiralis and T. nativa. The intestinal larvae of T. nativa were observed from 7 to 30 dpi, and the intensity of invasion increased up to 30 dpi (p < 0.001), while in the case of T. spiralis, the increase in larval growth in the intestinal phase decreased to 21 dpi, and only an increase of 1.6 ± 0.88 (p < 0.01) was detected at 30 dpi. T. nativa muscle larvae were detected at 21 dpi, compared with T. spiralis at 14 dpi. This characteristic was also reflected in the levels of serine protease transcripts in the samples. Accumulation was observed in both cases higher in the muscular stage of development, whereas the duration of the intestinal stage of T. nativa made it possible to detect serine protease at 30 dpi. The intestinal stage of T. nativa lasts for 30 days, indicating that the use of T. nativa serine protease is useful for the identification of intestinal infection. Furthermore, this protein can be used to identify T. spiralis and T. nativa in laboratory samples. Serine protease can be used as a marker for serological diagnosis. Within the framework of the research topic, it is important to conduct further studies on the species specificity of the obtained recombinant protein. It is necessary to focus on identifying highly specific Trichinella proteins for early disease detection.

Enhancing Cultural Awareness through Project-Based Learning: A Study on Historical Preservation in Kazakhstan

The Mangistau region of Kazakhstan is rich in cultural heritage and is characterized by various toponyms reflecting its multifaceted history. In the context of the Mangistau region, incorporating the cultural and historical context into the program helps students form a deeper connection with the region and its tangible and intangible heritage. By learning historical place names and their etymological origins, students gain insights into the history and cultural development of the region. This study investigates the teaching of etymological analysis of historical toponyms of the Mangistau region through project-based teaching and its impact on student’s attitudes toward history and interest in historical and cultural values. The study employed a quasi-experimental design based on quantitative research methods. According to this design, pre-test results were used to divide the groups into experimental and control groups. The participants comprised 61 students (Experimental group n=31; Control group n=30) studying in the 2nd grade of a high school in Almaty, Kazakhstan, in the 2023-2024 academic year. The experimental group was taught project-based learning activities for six weeks, while the control group was taught historical toponyms and etymological analysis of the Mangistau Region using traditional teaching methods and techniques. The Attitudes Toward Historical and Toponymy Subjects Scale and the Interest in Historical and Cultural Values Scale were used as data collection instruments. The pre-test and post-test results of the experimental and control groups were analyzed using the Independent Samples t-test technique. The analysis revealed that the students in the experimental group demonstrated significantly higher mean scores in the post-test compared to the control group. The findings indicated that teaching with a project-based learning approach on historical toponyms and etymological analysis of the Mangistau region increased students’ interest in and attitudes toward historical and cultural values.

AGE STRUCTURE OF RHAPONTICUM SERRATULOIDES (GEORGI) BOBR. POPULATIONS. IN NORTHERN AND CENTRAL KAZAKHSTAN

The article presents the results of studying the ontogenetic structure of seven cenopopulations of Rhaponticum serratuloides in Karaganda and Akmola regions of Kazakhstan (Northern and Central Kazakhstan). The majority of surveyed cenopopulations belong to normal incomplete populations. Their ontogenetic structure has two main types of spectrum - centered two-vertex spectrum, where the maximum falls on virginal and middle-generative individuals, as well as left-sided spectrum with predominance of pre-generative individuals. The condition of cenopopulations was assessed using the "delta-omega" criterion of L. A. Zhivotovsky. According to this criterion, most of the cenopopulations are mature (CP 1-2, CP 4-5), only two (CP6 and CP7) are young. The presence of a significant number of young plants in CP6 indicates its high capacity for maintenance and self-restoration. In CP7, unfavorable conditions prevailed and potentially generative plants remained in virginile age state. CP3 occupies an intermediate position between mature and young populations. In all cenopopulations there was almost complete absence of senile and sub-senile individuals, and only in some of them - deposition of juvenile and immature individuals. Incompleteness of cenopopulations is associated with increasing anthropogenic load and narrow ecological amplitude of Rh. serratuloides.

Project performance factors in the domestic business support system in Kazakhstan: An empirical study

The relevance of the study is due to the importance of assessing projects implemented within the framework of the state business support system, in which entrepreneurs take an active part by submitting applications for various types of support, including investment subsidies, technical assistance in the implementation of quality management systems, export support, and educational programs. The study identified the main factors determining the successful implementation of projects aimed at supporting and stimulating business development. The research design of project implementation effectiveness factors in the business support system is a strategic approach that allows you to organize and structure the analysis of theoretical concepts, and also provides a basis for subsequent experimental research in a real practical project management environment. The research methodology includes the use of structural modeling, which is a validated technique for testing multiple parallel hypotheses about the existence of cause-and-effect relationships. The conducted survey of business entities in several regions of Kazakhstan and the subsequent data analysis confirmed the significance of the identified factors, as a result of which the identified analysis allows to better understand the processes occurring in the business support system and offer practical recommendations for its improvement, which can also serve as a basis for the development of more effective strategies and programs to support entrepreneurship in Kazakhstan.

The first satellite tracking data on the migration of the common cuckoo Cuculus canorus (Cuculiformes, Cuculidae) from Southern Siberia (Khakassia, Russia)

In early June and July 2018 and 2019, during the reproduction period, we captured and equipped with satellite transmitters (5.3 g PinPoint GPS ARGOS 120) four males of the common cuckoo Cuculus canorus canorus (Linnaeus, 1758) in the vicinity of the city of Abakan in Khakassia, Southern Siberia. In one male, it was possible to track the route of autumn migration up to the border of the Democratic Republic of the Congo with Zambia (10 819 km), in another male to Western Iran. The routes of the other two birds were interrupted for unknown reasons in the Pavlodar region of Kazakhstan and in the Novosibirsk region. Satellite data confirmed our assumption that the cuckoos breeding in the territory of Southern Siberia migrate in autumn to the southwest via Kazakhstan, Central Asian countries (Uzbekistan, Turkmenistan), Iran, and Saudi Arabia to the southern part of Africa.

Poverty in the Kazakhstan Regions: Assessing the Influence of Key Indicators on Differences in Its Level

Modern Kazakhstan is characterized by significant regional socioeconomic differences due to climatic conditions, natural resources, migration, and regional specialization. The persistence of these regional differences can lead to increased stratification of society, social tension, and disruption of the country’s economic stability. These issues have intensified under the influence of Industry 4.0 trends and geopolitical processes in the region. Among the various sources of social inequality, we have chosen to focus on the problem of population poverty in our study. Addressing this problem is crucial for taking a comprehensive approach to addressing regional disparities in social development. The purpose of our study is to determine and assess the features of poverty in the regions of Kazakhstan. Our research methodology is based on evaluating the integral poverty index using four indicators: the share of the population with incomes below the subsistence level, the population under 60 years of age, youth aged 15–17 who are not working or studying, and the unemployment rate in the regions of Kazakhstan. Based on these indicators, we grouped the regions according to their poverty level, identified and compared regional differences, and identified the most vulnerable areas in need of intervention. This approach has enabled us to propose appropriate instruments of state support for different territories and promote inclusive regional development to overcome social imbalances.

Water Tales from Turkistan: Challenges and Opportunities for the Badam-Sayram Water System under a Changing Climate

The Badam River, a tributary to the Arys River located in the Syr Darya basin, is a crucial natural resource for ecological, social, and economic activities in the semi-arid region of southern Kazakhstan. The river basin is heavily influenced by manmade water infrastructure and faces water scarcity, particularly during summer, highlighting the importance of understanding its hydrological processes for effective water resource management. In this study, a semi-distributed conceptual hydrological model of the Badam River was implemented using the RS MINERVE hydrological software to evaluate the impacts of climate change on hydrology and to test the resilience of the water system. Connected HBV models were implemented for each of the hydrological response units that were defined as altitudinal zones. The hydrological model was calibrated using daily time steps between 1979 and 2011, and the resulting flow exceedance curves and hydrographs were used to assess the potential impacts of climate change on the basin, using CMIP6 precipitation and temperature scenarios. Future climate scenarios for the 2054 – 2064 period demonstrate that the peak discharge will be shifted to spring/late spring compared to the current early summer with no significant decrease in average discharge per day of the year. The insights gained from this hydrological-hydraulic model can be used to effectively manage the water system and inform future hydropower design decisions and serve as a blueprint for similar studies in the region and elsewhere.