Hydraulics and Hydroinformatics National Research University "Tashkent Institute of Irrigation and Agricultural Mechanization Engineers" Tashkent 100000, Uzbekistan
Assessment of the trophic level and self-cleaning ability of water polluted by nutrients in the Zarafshan River, Uzbekistan Shobegim Shoergashova, Erkin Karimov, Luqmon Samiev, Bakhtiyor Karimov Environmental Research and Technology, 2026 The aim of this study was to assess the water quality of the Zarafshan River through a comprehensive evaluation of its trophic state, nutrient loads, self-cleaning ability, and the toxicity of nitrogen compounds for hydrobionts. This is the first study of its kind conducted on the Zarafshan River. The trophic state was determined by nutrient content, the self-cleaning ability was assessed using the nitrification index method, and the toxicity of nitrogen compounds was evaluated using the aggregation index. Eutrophication was observed at all studied river Gauging Stations (GS), primarily caused by high nitrate nitrogen concentrations. The self-cleaning ability of the water was classified as “high” in the lower reaches of the river and “medium” along its length. Major pollution sources were identified as agricultural influence from Siab collector (GS-3) and industrial wastewater from Navoiazot chemical factory (GS-8). It is recommended to intensify the monitoring of total phosphorus at GS-3 and mineral nitrogen at GS-8, alongside implementing measures to prevent anthropogenic pollution to mitigate nutrient contamination in the Zarafshan River.
Trends in Sediment Modeling Research and Their Ecological Implications for Ecosystem Sustainability: Web of Science Bibliometric Analysis (2006–2025) Arifjanov Aybek Muhamedjanovich, Samiev Luqmon Naimovich, Allayorova Latofat Normengli qizi, Ochilov Hasan, Xodjayeva Sevara Research in Ecology, 2026 Sediment transport and deposition in rivers, lakes, and reservoirs are influenced by both natural processes and human activities. Excessive sediment accumulation in clarifiers reduces efficiency, increases turbidity, and deteriorates water quality. Despite growing research, there is limited bibliometric evidence on global trends and methodological approaches in clarifier modeling. This study addresses this gap by conducting a bibliometric analysis of sediment transport and turbidity management research from 2006 to 2025. Data were retrieved from the Web of Science Core Collection using the keywords “Computational Fluid Dynamics (CFD)” and “sedimentation tank.” A total of 110 publications were systematically reviewed to identify thematic patterns, leading authors and institutions, and influential journals. The results show that China and India are the most active contributors, with the National Institute of Technology (India) ranking as the top institution (7 publications). Approximately 90% of studies employed CFD or related mathematical and hydrodynamic models to investigate sediment behavior and flow dynamics. Water Research emerged as the most influential journal in this domain.This review demonstrates that clarifier research remains technically oriented, dominated by engineering and hydrodynamic modeling, while ecological perspectives are gradually emerging. The findings provide a clearer understanding of global research directions and highlight the need for cross-disciplinary collaboration to strengthen ecological applications of sediment modeling.
STABLE GROUNDWATER TABLE AND RISING SALINITY IN ANGOR DISTRICT OF SURKHANDARYA REGION (UZBEKISTAN): SEASONAL ANALYSIS Arifjanov Aybek, Samiyev Luqmon, Li Fadong, Gafurov Zafar, Eshboyev Navruz, et al. Water Conservation and Management, 2025 Seasonal changes in groundwater levels and salinity were investigated in the irrigated lands of Angor district, Uzbekistan from 2018 to 2023. Using field data from 129 wells and GIS-based interpolation, the study found a generally stable water table (mean depths of 2.28 m in April, 2.29 m in July, 2.23 m in October), but a significant increase in groundwater mineralization from 1.65 g/L in April to 2.04 g/L in October. This rise in salinity after the growing season indicates growing soil salinization risk. Spatial analysis revealed higher salinity near desert margins and in areas of intensive irrigation, highlighting key drivers of degradation. The results suggest current irrigation practices in Angor are unsustainable. To ensure long-term agricultural viability, improved land and water management strategies are urgently needed.