These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
312 related articles for article (PubMed ID: 23609306)
21. Integrating conceptual and machine learning models to enhance daily-Scale streamflow simulation and assessing climate change impact in the watersheds of the Godavari basin, India. Reddy NM; Saravanan S; Paneerselvam B Environ Res; 2024 Jun; 250():118403. PubMed ID: 38365058 [TBL] [Abstract][Full Text] [Related]
22. Enhancing physically-based hydrological modeling with an ensemble of machine-learning reservoir operation modules under heavy human regulation using easily accessible data. Tu T; Li Y; Duan K; Zhao T J Environ Manage; 2024 May; 359():121044. PubMed ID: 38714035 [TBL] [Abstract][Full Text] [Related]
23. Response of runoff towards land use changes in the Yellow River Basin in Ningxia, China. Wang Z; Tian J; Feng K PLoS One; 2022; 17(4):e0265931. PubMed ID: 35363797 [TBL] [Abstract][Full Text] [Related]
24. Modeling Agricultural Watersheds with the Soil and Water Assessment Tool (SWAT): Calibration and Validation with a Novel Procedure for Spatially Explicit HRUs. Teshager AD; Gassman PW; Secchi S; Schoof JT; Misgna G Environ Manage; 2016 Apr; 57(4):894-911. PubMed ID: 26616430 [TBL] [Abstract][Full Text] [Related]
25. Enhanced streamflow prediction with SWAT using support vector regression for spatial calibration: A case study in the Illinois River watershed, U.S. Yuan L; Forshay KJ PLoS One; 2021; 16(4):e0248489. PubMed ID: 33844687 [TBL] [Abstract][Full Text] [Related]
26. Estimating the Responses of Hydrological and Sedimental Processes to Future Climate Change in Watersheds with Different Landscapes in the Yellow River Basin, China. Li X; Sha J; Zhao Y; Wang ZL Int J Environ Res Public Health; 2019 Oct; 16(20):. PubMed ID: 31652639 [TBL] [Abstract][Full Text] [Related]
27. [Simulation of water and carbon coupling of the Pearl River basin based on the WaSSI model]. Wang XL; Duan K; Wei L Ying Yong Sheng Tai Xue Bao; 2022 May; 33(5):1377-1386. PubMed ID: 35730097 [TBL] [Abstract][Full Text] [Related]
28. Estimating daily time series of streamflow using hydrological model calibrated based on satellite observations of river water surface width: Toward real world applications. Sun W; Ishidaira H; Bastola S; Yu J Environ Res; 2015 May; 139():36-45. PubMed ID: 25680241 [TBL] [Abstract][Full Text] [Related]
29. Impact of Climate Variability and Landscape Patterns on Water Budget and Nutrient Loads in a Peri-urban Watershed: A Coupled Analysis Using Process-based Hydrological Model and Landscape Indices. Li C; Zhang Y; Kharel G; Zou CB Environ Manage; 2018 Jun; 61(6):954-967. PubMed ID: 29523918 [TBL] [Abstract][Full Text] [Related]
30. Spatiotemporal heterogeneity and attributions of streamflow and baseflow changes across the headstreams of the Tarim River Basin, Northwest China. Li H; Wang W; Fu J; Wei J Sci Total Environ; 2023 Jan; 856(Pt 2):159230. PubMed ID: 36208752 [TBL] [Abstract][Full Text] [Related]
31. Current and future hot-spots and hot-moments of nitrous oxide emission in a cold climate river basin. Shrestha NK; Wang J Environ Pollut; 2018 Aug; 239():648-660. PubMed ID: 29709836 [TBL] [Abstract][Full Text] [Related]
32. Coupling SWAT and Bi-LSTM for improving daily-scale hydro-climatic simulation and climate change impact assessment in a tropical river basin. Yang S; Tan ML; Song Q; He J; Yao N; Li X; Yang X J Environ Manage; 2023 Mar; 330():117244. PubMed ID: 36621311 [TBL] [Abstract][Full Text] [Related]
33. Investigating the impact of climate and land-use land cover changes on hydrological predictions over the Krishna river basin under present and future scenarios. Chanapathi T; Thatikonda S Sci Total Environ; 2020 Jun; 721():137736. PubMed ID: 32169648 [TBL] [Abstract][Full Text] [Related]
34. Evaluating the impacts of climate and land-use change on the hydrology and nutrient yield in a transboundary river basin: A case study in the 3S River Basin (Sekong, Sesan, and Srepok). Trang NTT; Shrestha S; Shrestha M; Datta A; Kawasaki A Sci Total Environ; 2017 Jan; 576():586-598. PubMed ID: 27810747 [TBL] [Abstract][Full Text] [Related]
35. [Runoff process in forested basin of Hun River-Taizi River, Northeast China: a simulation study]. Cai YC; Jin CJ; Wang AZ; Guan DX; Wu JB; Yuan FH Ying Yong Sheng Tai Xue Bao; 2013 Oct; 24(10):2779-86. PubMed ID: 24483070 [TBL] [Abstract][Full Text] [Related]
36. A review of alternative climate products for SWAT modelling: Sources, assessment and future directions. Tan ML; Gassman PW; Liang J; Haywood JM Sci Total Environ; 2021 Nov; 795():148915. PubMed ID: 34328938 [TBL] [Abstract][Full Text] [Related]
37. Analysis of spatiotemporal variation in dissolved organic carbon concentrations for streams with cropland-dominated watersheds. Tian YQ; Yu Q; Carrick HJ; Becker BL; Confesor R; Francek M; Anderson OC Sci Total Environ; 2023 Feb; 861():160744. PubMed ID: 36493833 [TBL] [Abstract][Full Text] [Related]
38. Assessing the influence of land use and land cover datasets with different points in time and levels of detail on watershed modeling in the North River Watershed, China. Huang J; Zhou P; Zhou Z; Huang Y Int J Environ Res Public Health; 2012 Dec; 10(1):144-57. PubMed ID: 23271303 [TBL] [Abstract][Full Text] [Related]
39. Quantifying the impact of climate variability and human activities on streamflow variation in Taoer River Basin, China. Li M; Gu H; Wang H; Wang Y; Chi B Environ Sci Pollut Res Int; 2023 Apr; 30(19):56425-56439. PubMed ID: 36920601 [TBL] [Abstract][Full Text] [Related]
40. Applicability of modified SWAT model (SWAT-Twn) on simulation of watershed sediment yields under different land use/cover scenarios in Taiwan. Chiang LC; Liao CJ; Lu CM; Wang YC Environ Monit Assess; 2021 Jul; 193(8):520. PubMed ID: 34313852 [TBL] [Abstract][Full Text] [Related] [Previous] [Next] [New Search]