39 citations as recorded by crossref.

1. Past and future terrestrial water storage changes in the lower Mekong River basin: The influences of climatic and non-climatic factors J. Xiong et al. 10.1016/j.jhydrol.2022.128275
2. Evaluating the impact of dam construction on extreme shrinkage of Urmia Lake using spatial data M. Barış 10.1007/s10661-023-11941-z
3. Forecasting groundwater anomaly in the future using satellite information and machine learning K. Soltani & A. Azari 10.1016/j.jhydrol.2022.128052
4. A drought index based on groundwater quantity and quality: Application of multivariate copula analysis M. Zavareh et al. 10.1016/j.jclepro.2023.137959
5. Remote Sensing of Surface Water Dynamics in the Context of Global Change—A Review P. Sogno et al. 10.3390/rs14102475
6. Land deformation and sinkhole occurrence in response to the fluctuations of groundwater storage: an integrated assessment of GRACE gravity measurements, ICESat/ICESat-2 altimetry data, and hydrologic models B. Khorrami et al. 10.1080/15481603.2021.2000349
7. Analysis of spatiotemporal variations of drought and soil salinity via integrated multiscale and remote sensing-based techniques (Case study: Urmia Lake basin) R. Ghasempour et al. 10.1016/j.ecoinf.2024.102560
8. Assessment of agricultural development preventive policies for restoration of Urmia Lake in Barandoz Basin, Iran R. Esmaeilnezhad et al. 10.1016/j.ejrs.2021.10.005
9. Model‐coupled GRACE‐based analysis of hydrological dynamics of drying Lake Urmia and its basin B. Khorrami et al. 10.1002/hyp.14893
10. Soil moisture and streamflow deficit anomaly index: an approach to quantify drought hazards by combining deficit and anomaly E. Popat & P. Döll 10.5194/nhess-21-1337-2021
11. Investigating the causes of Lake Urmia shrinkage: climate change or anthropogenic factors? M. Shams Ghahfarokhi & S. Moradian 10.1007/s40333-023-0054-z
12. Visualized spatiotemporal data mining in investigation of Urmia Lake drought effects on increasing of PM10 in Tabriz using Space-Time Cube (2004-2019) H. Ahmadi et al. 10.1016/j.scs.2021.103399
13. Quantifying lake–aquifer water exchange: the case of Lake Urmia, Iran E. Parizi et al. 10.1080/02626667.2022.2044044
14. Attribution of runoff variation to climate and human-driven changes in the transition zone between the Qinling Mountains and the Loess Plateau under vegetation greening Y. Wu et al. 10.2166/nh.2022.136
15. Enhancing spatial resolution of GRACE-derived groundwater storage anomalies in Urmia catchment using machine learning downscaling methods F. Sabzehee et al. 10.1016/j.jenvman.2022.117180
16. Quantifying LULC changes in Urmia Lake Basin using machine learning techniques, intensity analysis and a combined method of cellular automata (CA) and artificial neural networks (ANN) (CA-ANN) M. Sakizadeh & A. Milewski 10.1007/s40808-023-01895-z
17. 40-years of Lake Urmia restoration research: Review, synthesis and next steps M. Parsinejad et al. 10.1016/j.scitotenv.2022.155055
18. Centenary covariations of water salinity and storage of the largest lake of Northwest China reconstructed by machine learning X. Jiang et al. 10.1016/j.jhydrol.2022.128095
19. The global land water storage data set release 2 (GLWS2.0) derived via assimilating GRACE and GRACE-FO data into a global hydrological model H. Gerdener et al. 10.1007/s00190-023-01763-9
20. The role of climate conditions and groundwater on baseflow separation in Urmia Lake Basin, Iran R. Narimani et al. 10.1016/j.ejrh.2023.101383
21. System dynamics modeling of lake water management under climate change O. Bozorg-Haddad et al. 10.1038/s41598-022-09212-x
22. SABER: A Model-Agnostic Postprocessor for Bias Correcting Discharge from Large Hydrologic Models R. Hales et al. 10.3390/hydrology9070113
23. Tracking the dynamics of a local-scale lake using GRACE from a hydrogeological perspective J. Zhang et al. 10.1007/s10040-022-02578-2
24. Effects of Water Level Decline in Lake Urmia, Iran, on Local Climate Conditions A. Dehghanipour et al. 10.3390/w12082153
25. A quantile-based realization of the indirect-link between large-scale atmospheric oscillation and lake water level F. Fathian et al. 10.1007/s12517-021-08961-9
26. Water and productivity accounting using WA+ framework for sustainable water resources management: Case study of northwestern Iran A. Ghorbanpour et al. 10.1016/j.pce.2022.103245
27. Institutional analysis of organizations active in the restoration of Lake Urmia: the application of the social network analysis approach S. Es’haghi et al. 10.1080/02626667.2022.2026950
28. Impacts of different human activities on hydrological drought in the Huaihe River Basin based on scenario comparison H. Cheng et al. 10.1016/j.ejrh.2021.100909
29. A multi-criteria remote sensing-based data-driven framework for monitoring lake drying and salinization and mapping its environmental impacts R. Ghasempour et al. 10.1007/s00477-023-02502-4
30. Streamflow trends during recent decades at some near-natural catchments in Iran Q. Zhang et al. 10.1080/02626667.2021.2011287
31. Modeling the volatility changes in Lake Urmia water level time series F. Fathian & B. Vaheddoost 10.1007/s00704-020-03417-8
32. Vertical fit of water governing systems: A regional assessment P. Arjomandi A. et al. 10.1016/j.crsust.2024.100248
33. Coupled water and salt balance models for Lake Urmia: Salt precipitation and dissolution effects S. Sheibani et al. 10.1016/j.jglr.2023.03.003
34. Uncovering the Depletion Patterns of Inland Water Bodies via Remote Sensing, Data Mining, and Statistical Analysis B. Zolghadr-Asli et al. 10.3390/w15081508
35. Studying the Changes in the Hydro‐Meteorological Components of Water Budget in Lake Urmia B. Vaheddoost et al. 10.1029/2022WR032030
36. Climate zoning under climate change scenarios in the basin of Lake Urmia and in vicinity basins R. Jani et al. 10.1007/s00704-023-04380-w
37. Interrelations of vegetation growth and water scarcity in Iran revealed by satellite time series R. Behling et al. 10.1038/s41598-022-24712-6
38. Multiple kernel fusion: A novel approach for lake water depth modeling M. Safari et al. 10.1016/j.envres.2022.114856
39. Quantifying streamflow drivers by anthropogenic time series attribution method in human-nature system S. Nabaei & B. Saghafian 10.1007/s00704-021-03598-w