Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
[HTML][HTML] Daily reservoir inflow forecasting using weather forecast downscaling and rainfall-runoff modeling: Application to Urmia Lake basin, Iran
Study region This study develops the first daily runoff forecast system for Bukan reservoir in
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …
Urmia Lake basin (ULB), Iran, a region suffering from water shortages and competing water …
Can eXplainable AI offer a new perspective for groundwater recharge estimation?—Global‐scale modeling using neural network
Due to the difficulties in estimating groundwater recharge and cross‐boundary nature of
many aquifers, estimating groundwater recharge at large scale has been called upon …
many aquifers, estimating groundwater recharge at large scale has been called upon …
Multi-parameter approaches for improved ensemble prediction accuracy in hydrology and water quality modeling
Ensemble approaches can be a quick way to improve hydrological prediction accuracy by
considering multiple plausible modeling representations of a system. Previous studies …
considering multiple plausible modeling representations of a system. Previous studies …
Evaluation and uncertainty assessment of weather data and model calibration on daily streamflow simulation in a large-scale regulated and snow-dominated river …
The choice of proper input data and suitable calibration schemes is challenging in the
hydrological modeling of higher-latitude watersheds with their unique hydro-climatic …
hydrological modeling of higher-latitude watersheds with their unique hydro-climatic …
[HTML][HTML] Comparing the ability of different remotely sensed evapotranspiration products in enhancing hydrological model performance and reducing prediction …
S Taia, A Scozzari, L Erraioui, M Kili, A Mridekh… - Ecological …, 2023 - Elsevier
The mitigation of uncertainties in the identification of natural systems is a fundamental
aspect in the development of hydrological models, and represents a major challenge for the …
aspect in the development of hydrological models, and represents a major challenge for the …
Comparing calibration strategies of a conceptual snow hydrology model and their impact on model performance and parameter identifiability
S Nemri, C Kinnard - Journal of Hydrology, 2020 - Elsevier
Having a realistic estimation of snow cover by conceptual hydrological models continues to
challenge hydrologists. The calibration of the free model parameters is an unavoidable step …
challenge hydrologists. The calibration of the free model parameters is an unavoidable step …
Optimizing parameter estimation in hydrological models with convolutional neural network guided dynamically dimensioned search approach
Hydrological model calibration plays a crucial role in estimating optimal parameters for
accurate simulation. Estimation of parameters is inevitable in hydrological modeling due to …
accurate simulation. Estimation of parameters is inevitable in hydrological modeling due to …
Automatic model structure identification for conceptual hydrologic models
Choosing (an) adequate model structure (s) for a given purpose, catchment, and data
situation is a critical task in the modeling chain. However, despite model intercomparison …
situation is a critical task in the modeling chain. However, despite model intercomparison …
[HTML][HTML] Decoding the hundred-year water level changes of the largest Saline Lake in China: A joint lake-basin modeling study based on a revised SWAT+
Abstract Study region Qinghai Lake Basin (QLB), the largest saline lake in China and its
collecting basin Study focus Climate change has caused clear shrinkage or dramatic water …
collecting basin Study focus Climate change has caused clear shrinkage or dramatic water …
Multi-objective calibration by combination of stochastic and gradient-like parameter generation rules–the caRamel algorithm
C Monteil, F Zaoui, N Le Moine… - Hydrology and Earth …, 2020 - hess.copernicus.org
Environmental modelling is complex, and models often require the calibration of several
parameters that are not able to be directly evaluated from a physical quantity or field …
parameters that are not able to be directly evaluated from a physical quantity or field …