Hydrological models: a review

Kothandaraman, Saravanan; Mohan, Kshitij

doi:10.1504/ijhst.2021.117540

Cited by 27 publications

(10 citation statements)

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“…Most previous studies in semi-arid and ungauged closed watersheds used remotesensing data and water-balance models to analyze monthly and annual lake variations [25][26][27][28][29][30]. This study provides a valuable supplement to these previous studies and can address the gaps in simulating detailed hydrologic processes related to lakes.…”

Section: Comparison With Previous Studiesmentioning

confidence: 97%

“…Integrating remote-sensing data with hydrologic modeling is an effective method to simulate and predict continuous hydrologic processes under various climate conditions [25][26][27]. Compared with remote-sensing data alone, the combined method can depict the internal hydrologic processes between climate and lakes (e.g., surface runoff, groundwater flow, and snowmelt), and quantify the impacts of these processes on lake variations [28][29][30].…”

Section: Introductionmentioning

confidence: 99%

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Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

et al. 2023

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Lakes are key factors in maintaining ecosystems in semi-arid regions. However, due to data shortage, most studies used remote-sensing data and water-balance models to analyze lake variations in semi-arid ungauged closed watersheds, resulting in the oversimplified assessment of lake variations and their associated hydrologic processes. This study aimed to enhance the understanding of the mechanisms behind the water supplement and consumption of lakes and reveal the influences of hydrological processes on lake variations in such watersheds. Physically based and lake-oriented hydrologic modeling, remote-sensing technology, and results from previous studies were comprehensively integrated to achieve the research objective. The Hongjiannao (HJN) watershed in Northwest China was selected as the study area of this research. The calibration and validation results demonstrated that remote-sensing data and results from previous studies indeed guaranteed the accuracy of the lake-oriented model. Further hydrologic and statistical analyses revealed the linkage between lake variations and their associated hydrologic processes, and the mechanisms behind the linkage. Specifically, rainfall and snowmelt were found to be the most stable sources of HJN Lake, particularly in dry years. Due to the differences in recession rates, groundwater inflow was more stable than upstream inflow and inflow from the contributing area of HJN Lake. The correlations between hydrologic processes and the storage variation of HJN Lake varied significantly at daily and monthly time scales, which can be explained by the generation mechanisms of these processes. This study provided valuable guidance for water resources management and ecosystem protection in the HJN watershed and can be further applied for hydrologic simulations in other similar watersheds.

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Section: Comparison With Previous Studiesmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 99%

Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

et al. 2023

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“…Knoben et al (2020) evaluate the performance of 36 daily lumped parameter models over 559 catchments and show that between 1 and up to 28 models can show performance close to the model structure with the highest performance criteria. Such results are widely covered in catchment hydrology (Zhou et al, 2021;Pandi et al, 2021;Dakhlaoui and Djebbi, 2021;Darbandsari and Coulibaly, 2020;Gupta and Govindaraju, 2019) but still poorly investigated in karst hydrology. Indeed, the structural uncertainty impacts on rainfall-discharge modeling in karst hydrology is not properly evaluated whereas many studies consider several hydrological model structure to include structural uncertainty in flow simulation (Hartmann et al, 2012;Jiang et al, 2007;Jones et al, 2006;Sivelle et al, 2021).…”

Section: Model Evaluationmentioning

confidence: 97%

Improvement of the KarstMod modeling platform for a better assessment of karst groundwater resources

Sivelle

Cinkus

Mazzilli

et al. 2023

Preprint

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Abstract. We propose an updated version of KarstMod, an adjustable platform dedicated to lumped parameter rainfall-discharge modeling of karst aquifers. KarstMod provides a modular, user-friendly modeling environment for educational, research and operational purposes. It also includes numerical tools for time series analysis, model evaluation and sensitivity analysis. The modularity of the platform facilitates common operations related to lumped parameter rainfall-discharge modeling, such as (i) set up and parameter estimation of a relevant model structure, and (ii) evaluation of internal consistency, parameter sensitivity and hydrograph characteristics. The updated version now includes (i) external routines to better consider the input data and their related uncertainties, i.e. evapotranspiration and solid precipitation, (ii) enlargement of multi-objective calibration possibilities, allowing more flexibility in terms of objective functions as well as observation type and (iii) additional tools for model performance evaluation including further performance criteria and tools for model errors representation.

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“…La hidrología tiene varias aplicaciones prácticas, principalmente para la gestión de desastres naturales por inundación, deslizamiento de tierra, planificación del suministro de agua, diseño y funcionamiento de estructuras hidráulicas, reducción de la contaminación, manejo de aguas residuales, riego, control de erosión, sedimentos, entre otros (Shaw et al, 2010;Khalid et al, 2016;Abdulkareem et al, 2018;Pandi et al, 2021). Por lo tanto, la ciencia de la hidrología proporciona los lineamientos para la planificación, gestión y control de los recursos hídricos mediante la aplicación de principios de ingeniería (Abdulkareem et al, 2018).…”

Section: Abstract: Hydrological Model Selection Runoff Modeling Proto...unclassified

Aplicación de modelos hidrológicos

Sofía

Rivas

2022

Higo

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Los modelos hidrológicos son herramientas esenciales para la planificación y gestión de los recursos hídricos y del medio ambiente. En las últimas décadas se han desarrollado diversos modelos hidrológicos, cada uno con características y parámetros específicos, con el objetivo de representar mejor la microfísica del ciclo hidrológico, aunque, algunos investigadores han encontrado que incluso el uso de técnicas complejas de modelamiento no garantiza una mejor evaluación, debido a la heterogeneidad del suelo y al cambio climático que desempeña un papel determinante en el comportamiento del régimen hidrológico. En este artículo, se presenta un breve resumen de once distintos modelos hidrológicos, ocho de libre acceso. Los modelos incluidos corresponden al modelo de capacidad de infiltración variable (VIC), TOPMODEL, HBV, MIKE SHE, herramienta de evaluación de suelos y aguas (SWAT), HSPF, VELMA, PIHM, KINEROS, WEAP y HEC-HMS. Considerando aspectos como la región de aplicación, escala espacial, datos de entrada y si la interfaz es amigable e intuitiva, se concluye que el modelo SWAT seguido de los modelos HEC-HMS y WEAP son los más versátiles y adecuados para ser aplicados en regiones como Nicaragua. Este estudio proporciona una guía a los modeladores para identificar el tipo de modelo hidrológico que podrían aplicar en una cuenca específica para resolver un problema determinado, así mismo, les permitirá determinar la viabilidad de uno con respecto al otro según la disponibilidad de datos de entrada que se requieran y los recursos disponibles tanto informáticos como financieros.

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Hydrological models: a review

Cited by 27 publications

References 0 publications

Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

Analysis of Detailed Lake Variations and Associated Hydrologic Driving Factors in a Semi-Arid Ungauged Closed Watershed

Improvement of the KarstMod modeling platform for a better assessment of karst groundwater resources

Aplicación de modelos hidrológicos

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