Water Science and Technology, General Earth and Planetary Sciences, Geography, Planning and Development
41
Scopus Publications
551
Scholar Citations
14
Scholar h-index
23
Scholar i10-index
Scopus Publications
Explainable Machine Learning for Streamflow Forecasting: Application to the Bosna River Basin Slobodan Gnjato, Igor Leščešen, Qiuwen Zhou, Marko Ðukanović Water Switzerland, 2026 As one of the key water systems in Bosnia and Herzegovina, the Bosna River Basin plays a vital role in sustaining agricultural production, industrial development, and water supply for municipalities. Accurate streamflow forecasting is fundamental to optimising water resource planning. This study explores streamflow forecasting using long-term data (1961–2020) from five meteorological stations and one hydrological station distributed across various sections of the basin. For precise streamflow forecasting, the study employs several machine-learning models: Random Forest, LSTM, and XGBoost. Model performance is evaluated using widely used metrics, including mean absolute error, root mean square error, Nash–Sutcliffe efficiency (NSE), and Kling–Gupta efficiency (KGE). Among the tested models, Random Forest proved to be the most accurate for streamflow forecasting, confirming its effectiveness in capturing the complex dynamics of hydrological processes. During the testing phase, the Random Forest model achieved an NSE of 0.591 and a KGE of 0.591, demonstrating good generalisation and reliable predictions. The results demonstrate the strength of Random Forest in capturing nonlinear hydrological patterns and supporting reliable streamflow forecasting for national water management. Moreover, as a novel approach, explainable AI was applied using SHAP analysis to go beyond the regular predictions of the models, thereby providing a deeper understanding of the model’s performance described by the magnitude and direction of influence of each problem feature.
Future Hydrological Drought and Water Sustainability in the Sava River Basin: Machine Learning Projections Under Climate Change Scenarios Igor Leščešen, Milan Josić, Slobodan Gnjato, Ana M. Petrović, Zbyněk Bajtek Sustainability Switzerland, 2026 Hydrological drought projections are crucial for climate-resilient water management; however, many basins lack calibrated process-based models that can readily be forced with climate scenarios. This study develops a purely data-driven framework to forecast the Streamflow Drought Index (SDI) from standardized meteorological indices and to assess future drought regimes under different emission pathways. We used a 60-year monthly record (1961–2020) of the Standardized Precipitation Index (SPI), the Standardized Temperature Index (STI), the Standardized Precipitation–Evapotranspiration Index (SPEI), and the SDI for the Sava River Basin. Correlation analysis showed that the SDI is primarily controlled by the short-lag SPI (0–1 months), whereas the STI and SPEI play a minor role. Several machine learning models were tested for one-month-ahead SDI prediction; a Random Forest (RF) with hyperparameters optimized by TimeSeriesSplit cross-validation, combined with linear-scaling bias correction, clearly outperformed XGBoost, Elastic Net, support vector regression, and a multilayer perceptron. On the independent test period (2009–2020), the RF achieved MAE ≈ 0.62, RMSE ≈ 0.83, NSE ≈ 0.49, and KGE ≈ 0.65. Using SPI/STI/SPEI projections from RCP2.6, RCP4.5, and RCP8.5, the RF produced monthly SDI projections for 2021–2050, revealing increasingly frequent, severe, and persistent streamflow droughts with higher emissions. The results demonstrate that carefully tuned ensemble tree models driven solely by standardized climate indices can provide skilful and interpretable SDI projections for drought risk assessment, supporting sustainable, climate-resilient water resources planning and adaptation in this transboundary basin.
Assessment of Water Balance and Future Runoff in the Nitra River Basin, Slovakia Pavla Pekárová, Igor Leščešen, Ján Pekár, Zbyněk Bajtek, Veronika Bačová Mitková, Dana Halmová Water Switzerland, 2026 This study integrates 90 years of hydrometeorological observations (1930/31–2019/20) with end-century projections (2080–2099) to evaluate climate-driven changes in the water balance of the Nitra River basin (2094 km2), Slovakia. Despite a modest 2–3% increase in annual precipitation from 1930/31–1959/60 to 1990/91–2019/20, mean annual runoff declined from 229 mm to 201 mm (≈−12%), primarily due to enhanced evapotranspiration stemming from a +1.08 °C basin-wide temperature increase. An empirical regression from 90 hydrological years shows that +100 mm in precipitation boosts runoff by ≈41 mm, while +1 °C in temperature reduces it by ≈13 mm. The BILAN monthly water balance model was calibrated for 1930/31–2019/20 to decompose runoff components. Over the 90-year period, the modeled annual runoff averaged 222 mm, comprising a 112 mm baseflow (50.4%), a 91 mm interflow (41.0%), and a 19 mm direct runoff (8.6%), underscoring the key role of groundwater and subsurface flows in sustaining streamflow. In the second part of our study, the monthly water balance model BILAN was recalibrated for 1995–2014 to simulate future runoff under three CMIP6 Shared Socioeconomic Pathways. Under the sustainability pathway SSP1-1.9 (+0.88 °C; +1.1% precipitation), annual runoff decreases by 8.9%. The middle-of-the-road scenario SSP2-4.5 (+2.6 °C; +3.1% precipitation) projects a 17.5% decline in annual runoff, with particularly severe reductions in autumn months (September −32.3%, October −35.8%, December −40.4%). The high-emission pathway SSP5-8.5 (+5.1 °C; +0.4% precipitation) yields the most dramatic impact with a 35.2% decrease in annual runoff and summer deficits exceeding 45%. These results underline the extreme sensitivity of a mid-sized Central European basin to temperature-driven evapotranspiration and the critical importance of emission mitigation, emphasizing the urgent need for adaptive water management strategies, including new storage infrastructure to address both winter floods and intensifying summer droughts.
Unraveling the impact of large-scale climate circulations on the maximum discharges in the middle and lower Danube basin Igor Leščešen, Constantin Mares, Milan Josić, Biljana Basarin Journal of Hydrology and Hydromechanics, 2025 Understanding the relationships between large-scale climate circulation and precipitation and river discharge at the local level is of central importance for deciphering hydroclimatological processes. Annual maximum river discharges in Europe are more sensitive to the variability of atmospheric circulation than mean discharges. However, there is a knowledge gap regarding the specific influence of atmospheric patterns on maximum discharge dynamics in the Middle and Lower sections of the Danube basin, especially in Serbia and Romania. In this study, historical climate data and the influence of atmospheric patterns (Greenland-Balkan Oscillation index, Mediterranean Oscillation index and North Atlantic Oscillation index) were analysed to understand their impact on hydrological extremes. The results showed significant correlations between discharge and atmospheric oscillations, in particular a statistically significant decreasing trend of maximum monthly discharge at Orsova station (trend: −0.0548, p-value: 0.0305) in the period 1961–2018. Correlation analyses showed significant positive correlations between runoff and atmospheric indices in different time periods and stations, underlining the complexity of these relationships. In addition, GEV analysis underlined the stability of maximum discharges at Bezdan and Bogojevo stations over time, with notable instability observed at Orsova and Ceatal Izmail stations. These results emphasize the importance of considering both temporal and spatial variations in river discharge dynamics when assessing the impact of climate change on hydrological extremes.
Seasonal variability changes and trends in minimum discharge for Western Balkan rivers Igor Leščešen, Slobodan Gnjato, Duško Vujačić, Ana M. Petrović, Ivan Radevski Journal of Hydrology Regional Studies, 2025 Study region This study focuses on the Western Balkans, specifically analyzing river basins across Bosnia and Herzegovina, Serbia, Montenegro, and North Macedonia. Study focus The objective is to investigate long-term trends in minimum river discharges from 1961 to 2020, with an emphasis on low-flow events and their seasonal dynamics. Minimum discharge magnitudes were categorized as M1 (lower) and M2 (higher) based on the 1961–1990 baseline period. Seasonal Mann–Kendall trend tests were applied to detect significant changes in low-flow frequency and intensity across a representative network of gauging stations. New hydrological insights for the region The results reveal a statistically significant increase in the frequency of M1 low-flow events during summer, indicating more severe low-flow conditions. This trend is especially prominent across central and southern stations. Winter season analyses also suggest rising minimum discharge values, albeit with spatial variability. Conversely, M2 events, indicative of relatively higher minimum flows, show a consistent and statistically significant decline across nearly all stations during summer. These opposing trends reflect a regional intensification of summer low-flow conditions and a possible shift in the seasonal flow regime. The findings underscore the growing vulnerability of Western Balkan river systems to hydrological droughts, likely driven by climate change and local watershed pressures. These insights hold practical relevance for water resource management, highlighting the urgency of adaptive strategies for drought mitigation and ecological flow preservation.
Temporal variability of average and low flows in Slovak rivers: A 90-year perspective Pavla Pekárová, Dana Halmová, Veronika Bačová Mitková, Jana Poórová, Lotta Blaškovičová, Ján Pekár, Igor Leščešen, Zbyněk Bajtek Journal of Hydrology Regional Studies, 2025 Slovakia, Central Europe. This study presents a comprehensive assessment of long-term streamflow variability in Slovakia over a 90-year period (1930/31–2019/20), based on daily discharge data from 27 near-natural catchments. The focus is on trends in average annual flows, 7-day minimum flows, seasonality of low-flow events, and spatial patterns across hydrological regions. This is the first national-scale assessment of Slovak rivers using such a long continuous daily discharge dataset. The analysis reveals a marked spatial gradient in discharge trends: while mountainous regions (Region I) show stable or increasing flow conditions, lowland regions (Region III) experience significant declines — up to 27 % in average annual flow and 23 % in 7-day minimum flows. A strong positive correlation was found between specific discharge and catchment altitude. Notably, despite post-1996 increases in precipitation, runoff decreased due to rising temperatures and evapotranspiration. Minimum flows now occur up to 16 days earlier in lowlands. These results emphasize the unequal hydrological response to climate change across Slovak river basins and provide a solid foundation for future water resource planning under changing climate conditions. • Analyzed 90 years of daily discharge data from 26 Slovak gauges (1931–2020). • Found decreasing trends in annual average flows in southern Slovak rivers. • Specific discharge positively correlated with catchment altitude. • Major dry periods (1934, 1947, 1988–93, 2016–20) identified in low-flow records. • Minimum flow timing advanced by 16 days in lowland rivers in recent decades.
A Paleo-Perspective of 21st Century Drought in the Hron River (Slovakia) Igor Leščešen, Abel Andrés Ramírez Molina, Glenn Tootle Hydrology, 2025 The Hron River is a vital waterway in central Slovakia. In evaluating observed streamflow records for the past ~90 years, the Hron River displayed historically low hydrologic summer (April–May–June–July–August–September (AMJJAS)) streamflow for the 10-, 20-, and 30-year periods ending in 2020. When using self-calibrated Palmer Drought Severity Index (scPDSI) proxies developed from tree-ring records, skillful regression-based reconstructions of AMJJAS streamflow were developed for two gauges (Banská Bystrica and Brehy) on the Hron River. The recent observed droughts were compared to these reconstructions and revealed the Hron River experienced extreme drought in the 21st century. A further comparison of observed wet (pluvial) periods revealed that the most extreme robust streamflow periods in the observed record were frequently exceeded in the reconstructed (paleo) record. The Hron River has recently been experiencing decline, and we hypothesize that this decline may be associated with anthropogenic influences, the natural climatic cycle, or the changing climate.
Comprehensive flood frequency analysis of major Sava River affluents in Bosnia and Herzegovina: risks, and implications for water resources management Slobodan Gnjato, Igor Leščešen, Tatjana Popov, Goran Trbić Idojaras, 2025 This study addresses the pressing issue of flood frequency analysis in Bosnia and Herzegovina (BH), focusing on major rivers—Una, Sana, Vrbas, and Bosna. In light of the global impact of floods on lives, property, and infrastructure, the research aims to understand and predict these events, particularly considering climate change and socioeconomic development. Employing goodness-of-fit tests such as Kolmogorov-Smirnov and Cramér-Von Mises, the study identifies the most suitable probability distributions for modeling river discharge data. Pearson 3, generalized extreme value (GEV), and Gumbel distributions emerge as best fits, demonstrating variations across rivers. The research emphasizes the importance of tailoring models to specific hydrological characteristics, with the Bosna River best modeled by the Pearson 3 distribution and the Sana River by the GEV distribution. Calculated return periods for extreme flood events provide valuable insights into potential discharge magnitudes, highlighting the crucial role of accurate probability distributions in informed risk management and infrastructure planning. This study fills a critical gap in flood frequency analysis for selected rivers in BH, offering essential information for water resource management and flood risk assessment in the context of ongoing climate change.
Long Short-Term Memory (LSTM) Networks for Accurate River Flow Forecasting: A Case Study on the Morava River Basin (Serbia) Igor Leščešen, Mitra Tanhapour, Pavla Pekárová, Pavol Miklánek, Zbyněk Bajtek Water Switzerland, 2025 Accurate forecasting of river flows is essential for effective water resource management, flood risk reduction and environmental protection. The ongoing effects of climate change, in particular the shift in precipitation patterns and the increasing frequency of extreme weather events, necessitate the development of advanced forecasting models. This study investigates the application of long short-term memory (LSTM) neural networks in predicting river runoff in the Velika Morava catchment in Serbia, representing a pioneering application of LSTM in this region. The study uses daily runoff, precipitation and temperature data from 1961 to 2020, interpolated using the inverse distance weighting method. The LSTM model, which was optimized using a trial-and-error approach, showed a high prediction accuracy. For the Velika Morava station, the model showed a mean square error (MSE) of 2936.55 and an R2 of 0.85 in the test phase. The findings highlight the effectiveness of LSTM networks in capturing nonlinear hydrological dynamics, temporal dependencies and regional variations. This study underlines the potential of LSTM models to improve river forecasting and water management strategies in the Western Balkans.
Hydrological Dynamics and Climate Variability in the Sava River Basin: Streamflow Reconstructions Using Tree-Ring-Based Paleo Proxies Abel Andrés Ramírez Molina, Igor Leščešen, Glenn Tootle, Jiaqi Gong, Milan Josić Water Switzerland, 2025 This study reconstructs historical streamflow in the Sava River Basin (SRB), focusing on hydrological variability over extended timescales. Using a combination of Machine Learning (ML) and Deep Learning (DL) models, streamflow patterns were reconstructed from self-calibrated Palmer Drought Severity Index (scPDSI) proxies. The analysis included nine ML models and two DL architectures, with a post-prediction bias correction applied uniformly using the RQUANT method. Results indicate that ensemble methods, such as Random Forest and Gradient Boosted Tree, along with a six-layer DL model, effectively captured streamflow dynamics. Bias correction improved predictive consistency, particularly for models exhibiting greater initial variability, aligning predictions more closely with observed data. The findings reveal that the 2000–2022 period ranks as the lowest 23-year flow interval in the observed record and one of the driest over the past ~500 years, offering historical context for prolonged low-flow events in the region. This study demonstrates the value of integrating advanced computational methods with bias correction techniques to extend hydrological records and enhance the reliability of reconstructions. By addressing data limitations, this approach provides a foundation for supporting evidence-based water resource management in Southeastern Europe under changing climatic conditions.
Water quality and population standpoints as factors influencing the utilization for agricultural purposes of the great Bačka Canal, Serbia Journal of Environmental Science and Management, 2016
Extreme hydrological situations on danube river - Case study bezdan hydrological station (Serbia) Sustainable Hydraulics in the Era of Global Change Proceedings of the 4th European Congress of the International Association of Hydroenvironment Engineering and Research IAHR 2016, 2016
Rainfall erosivity as an indicator of sliding occurrence along the southern slopes of the bačka loess plateau: A case study of the kula settlement, vojvodina (North Serbia) Carpathian Journal of Earth and Environmental Sciences, 2016
Future Hydrological Drought and Water Sustainability in the Sava River Basin: Machine Learning Projections Under Climate Change Scenarios I Leščešen, M Josić, S Gnjato, AM Petrović, Z Bajtek Sustainability 18 (6), 2678 , 2026 2026
Unraveling Hydrological Dynamics: Investigating the Frequency and Occurrence Rate of Minimum Discharges in Bosnia and Herzegovina I Leščešen, S Gnjato, T Popov, M Josić Journal of Extreme Events, 2550007 , 2026 2026
Assessment of Water Balance and Future Runoff in the Nitra River Basin, Slovakia P Pekárová, I Leščešen, J Pekár, Z Bajtek, V Bačová Mitková, D Halmová Water 18 (2), 208 , 2026 2026
Unraveling the impact of large-scale climate circulations on the maximum discharges in the middle and lower Danube basin L Igor, M Constantin, J Milan, B Biljana Journal of Hydrology and Hydromechanics 73 (4), 354-367 , 2025 2025
Navigating hydrological extremes: SARIMA forecasting of minimum Danube River discharges I Leščešen, P Pekárová, Z Bajtek Journal of the Bulgarian Geographical Society 53, 29-47 , 2025 2025
Temporal variability of average and low flows in Slovak rivers: A 90-year perspective P Pekárová, D Halmová, VB Mitková, J Poórová, L Blaškovičová, J Pekár, ... Journal of Hydrology: Regional Studies 60, 102560 , 2025 2025 Citations: 4
Seasonal variability changes and trends in minimum discharge for Western Balkan rivers I Leščešen, S Gnjato, D Vujačić, AM Petrović, I Radevski Journal of Hydrology: Regional Studies 60, 102529 , 2025 2025 Citations: 5
A Paleo-Perspective of 21st Century Drought in the Hron River (Slovakia) I Leščešen, AA Ramírez Molina, G Tootle Hydrology 12 (7), 169 , 2025 2025
Hydrological shifts in the Carpathian Basin: Climate change impacts on summer low-flows I Leščešen Geographica Pannonica 29 (2) , 2025 2025 Citations: 2
Asymmetry, Bimodality and Design Values of Daily Air Temperature P Pekarova, J Pekar, P Miklánek, I Lescesen EGU General Assembly Conference Abstracts, EGU25-5372 , 2025 2025
Streamflow Variability and Predictive Modeling in the Carpathian Basin: Assessing the Performance of Machine Learning Algorithms I Leščešen, P Pekárová, P Miklánek, Z Bajtek EGU General Assembly Conference Abstracts, EGU25-8061 , 2025 2025 Citations: 1
Long short-term memory (LSTM) networks for accurate river flow forecasting: a case study on the Morava river basin (Serbia) I Leščešen, M Tanhapour, P Pekárová, P Miklánek, Z Bajtek Water 17 (6), 907 , 2025 2025 Citations: 24
Hydrological Dynamics and Climate Variability in the Sava River Basin: Streamflow Reconstructions Using Tree-Ring-Based Paleo Proxies AA Ramírez Molina, I Leščešen, G Tootle, J Gong, M Josić Water 17 (3), 417 , 2025 2025 Citations: 2
Comprehensive flood frequency analysis of major Sava River affluents in Bosnia and Herzegovina: risks, and implications for water resources management S Gnjato, I Leščešen, T Popov, G Trbić IDŐJÁRÁS/QUARTERLY JOURNAL OF THE HUNGARIAN METEOROLOGICAL SERVICE 129 (2 … , 2025 2025
Hydrological drought assessment of the Sava River basin in South-Eastern Europe I Leščešen, S Gnjato, I Galinović, B Basarin Journal of Water and Climate Change 15 (8), 3902-3918 , 2024 2024 Citations: 14
What do they know? Is climate change education necessary in primary schools in Serbia I Leščešen, B Basarin, M Vujičić Geographica Pannonica 28 (2) , 2024 2024 Citations: 5
What is happening with frequency and occurrence of the maximum river discharges in Bosnia and Herzegovina? S Gnjato, I Leščešen, B Basarin, T Popov Acta geographica Slovenica 64 (1), 129–149-129–149 , 2024 2024 Citations: 6
Are extreme floods on the Danube River becoming more frequent? A case study of Bratislava station I Leščešen, B Basarin, D Pavić, M Mudelsee, P Pekarova, M Mesaroš Journal of Water and Climate Change 15 (3), 1300-1312 , 2024 2024 Citations: 10
Long-term analysis of changes in seasonal and maximum discharges of Slovak rivers in the period 1931–2020 VB Mitková, P Pekárová, D Halmová, P Miklánek, I Leščešen Journal of Hydrology and Hydromechanics 72 (4), 486-498 , 2024 2024 Citations: 7
Unveiling Torrential Flood Dynamics: A Comprehensive Study of Spatio-Temporal Patterns in the Šumadija Region, Serbia AM Petrović, I Leščešen, I Radevski Water 16 (7), 991 , 2024 2024 Citations: 7
MOST CITED SCHOLAR PUBLICATIONS
Statistical analysis of water quality parameters of the Drina River (West Serbia), 2004-11 I Leščešen, M Pantelić, D Dolinaj, V Stojanović, D Milošević Polish Journal of Environmental Studies 24 (2), 555-561 , 2015 2015 Citations: 53
Variability of seasonal and annual precipitation in Slovenia and its correlation with large-scale atmospheric circulation DD Milošević, SM Savić, M Pantelić, U Stankov, I Žiberna, D Dolinaj, ... Open geosciences 8 (1), 593-605 , 2016 2016 Citations: 41
Rainfall erosivity as an indicator of sliding occurrence along the southern slopes of the Bačka loess plateau: a case study of the Kula settlement, Vojvodina (North Serbia) T Lukić, I Leščešen, D Sakulski, B Basarin, A Jordaan Carpathian Journal of Earth and Environmental Sciences 11 (2), 303-318 , 2016 2016 Citations: 35
Maximum temperatures over Slovenia and their relationship with atmospheric circulation patterns DD Milošević, SM Savić, U Stankov, I Žiberna, MM Pantelić, D Dolinaj, ... Geografie-Sbornik CGS 122 (1), 1-20 , 2017 2017 Citations: 26
Long short-term memory (LSTM) networks for accurate river flow forecasting: a case study on the Morava river basin (Serbia) I Leščešen, M Tanhapour, P Pekárová, P Miklánek, Z Bajtek Water 17 (6), 907 , 2025 2025 Citations: 24
Estimation of water quality of Sava River (Vojvodina, Serbia) in the period 2004-2011 using Serbian Water Quality Index (SWQI) D Bjelajac, I Leščešen, T Micić, M Pantelić Geographica Pannonica 17 (4), 91-97 , 2013 2013 Citations: 23
Assessing the impact of climate on annual and seasonal discharges at the Sremska Mitrovica station on the Sava River, Serbia I Leščešen, M Šraj, M Pantelić, D Dolinaj Water Supply 22 (1), 195-207 , 2022 2022 Citations: 21
Regional flood frequency analysis of the Pannonian Basin I Leščešen, D Dolinaj Water 11 (2), 193 , 2019 2019 Citations: 20
Statistical Analysis of Water quality parameters in seven major Serbian rivers during 2004‒2013 period I Leščešen, D Dolinaj, M Pantelić, S Savić, D Milošević Water Resources 45 (3), 418-426 , 2018 2018 Citations: 20
Water quality of the Pannonian basin rivers the Danube, the Sava and the Tisa (Serbia) and its correlation with air temperature MM Pantelić, DM Dolinaj, II Leščešen, SM Savić, DD Milošević Thermal Science 19 (suppl. 2), 477-485 , 2015 2015 Citations: 19
Hydrological droughts in the Južna Morava river basin (Serbia) M UroševА, D DolinajB, I LeščešenB 2016 Citations: 16
Hydrological drought assessment of the Sava River basin in South-Eastern Europe I Leščešen, S Gnjato, I Galinović, B Basarin Journal of Water and Climate Change 15 (8), 3902-3918 , 2024 2024 Citations: 14
Changes in annual and seasonal extreme precipitation over southeastern Europe I Leščešen, B Basarin, Z Podraščanin, M Mesaroš Environmental Sciences Proceedings 26 (1), 48 , 2023 2023 Citations: 14
Regional Flood Frequency Analysis Based on L -Moment Approach (Case Study Tisza River Basin) I Leščešen, M Urošev, D Dolinaj, M Pantelić, T Telbisz, G Varga, S Savić, ... Water Resources 46 (6), 853-860 , 2019 2019 Citations: 14
Regional flood frequency analysis of the Sava River in South-Eastern Europe I Leščešen, M Šraj, B Basarin, D Pavić, M Mesaroš, M Mudelsee Sustainability 14 (15), 9282 , 2022 2022 Citations: 13
Rainfall erosivity as an indicator of sliding occurrence along the southern slopes of the Backa loess plateau: A case study of the Kula settlement, Vojvodina (North Serbia) L Tin, L Igor, S Dušan, B Biljana, J Andries Carpathian Journal of Earth and Environmental Sciences , 2016 2016 Citations: 13
Correlation analysis of impact of natural parameters on water quality of the river Danube near Novi Sad for the period 2004–2011 P Milana, D Dragan, S Uglješa, L Igor Geographica Pannonica 17 (3), 74-78 , 2013 2013 Citations: 13
Problems of teaching organisation in combined (split) classes in rural areas of the Republic of Serbia I Leščešen, L Ivanović-Bibić, A Dragin, D Balent Geographica Pannonica 17 (2), 54-59 , 2013 2013 Citations: 13
Hydrological drought assessment of the Tisza river I Leščešen, D Dolinaj, M Pantelić, T Telbisz, G Varga Journal of the Geographical Institute" Jovan Cvijic", SASA 70 (2), 89-100 , 2020 2020 Citations: 12
Assessment of water quality of the Tisa river (Vojvodina, North Serbia) for ten year period using Serbian Water Quality Index (SWQI) I Leščešen, M Pantelić, D Dolinaj, T Lukić Geographica Pannonica 18 (4), 102-107 , 2014 2014 Citations: 12
