Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed
Hydrological models, with different levels of complexity, have become inherent tools in water resource management. Conceptual models with low input data requirements are preferred for streamflow modeling, particularly in poorly gauged watersheds. However, the inadequacy of model structures in the hy...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-08-01
|
| Series: | Water |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4441/12/9/2440 |
| _version_ | 1797555091219152896 |
|---|---|
| author | Hamza Ouatiki Abdelghani Boudhar Aziz Ouhinou Abdelaziz Beljadid Marc Leblanc Abdelghani Chehbouni |
| author_facet | Hamza Ouatiki Abdelghani Boudhar Aziz Ouhinou Abdelaziz Beljadid Marc Leblanc Abdelghani Chehbouni |
| author_sort | Hamza Ouatiki |
| collection | DOAJ |
| description | Hydrological models, with different levels of complexity, have become inherent tools in water resource management. Conceptual models with low input data requirements are preferred for streamflow modeling, particularly in poorly gauged watersheds. However, the inadequacy of model structures in the hydrologic regime of a given watershed can lead to uncertain parameter estimation. Therefore, an understanding of the model parameters’ behavior with respect to the dominant hydrologic responses is of high necessity. In this study, we aim to investigate the parameterization of the HBV (Hydrologiska Byråns Vattenbalansavedelning) conceptual model and its influence on the model response in a semi-arid context. To this end, the capability of the model to simulate the daily streamflow was evaluated. Then, sensitivity and interdependency analyses were carried out to identify the most influential model parameters and emphasize how these parameters interact to fit the observed streamflow under contrasted hydroclimatic conditions. The results show that the HBV model can fairly reproduce the observed daily streamflow in the watershed of interest. However, the reliability of the model simulations varies from one year to another. The sensitivity analysis showed that each of the model parameters has a certain degree of influence on model behavior. The temperature correction factor (ETF) showed the lowest effect on the model response, while the sensitivity to the degree-day factor (DDF) highly depends on the availability of snow cover. Overall, the changes in hydroclimatic conditions were found to be mostly responsible for the annual variability of the optimal parameter values. Additionally, these changes seem to actuate the interdependency between the parameters of the soil moisture and the response routines, particularly Field Capacity (FC), the recession coefficient K0, the percolation coefficient (KPERC), and the upper reservoir threshold (UZL). The latter combines either to shrink the storage capacity of the model’s reservoirs under extremely high peak flows or to enlarge them under overestimated water supply, mainly provoked by abundant snow cover. |
| first_indexed | 2024-03-10T16:41:24Z |
| format | Article |
| id | doaj.art-066ac1681f89492a88bde762d1f55dcc |
| institution | Directory Open Access Journal |
| issn | 2073-4441 |
| language | English |
| last_indexed | 2024-03-10T16:41:24Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Water |
| spelling | doaj.art-066ac1681f89492a88bde762d1f55dcc2023-11-20T11:56:00ZengMDPI AGWater2073-44412020-08-01129244010.3390/w12092440Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous WatershedHamza Ouatiki0Abdelghani Boudhar1Aziz Ouhinou2Abdelaziz Beljadid3Marc Leblanc4Abdelghani Chehbouni5Water Resources Management and Valorization and Remote Sensing Team (GEVARET), Faculty of Sciences and Technics, Sultan Moulay Slimane University, Beni Mellal 23000, MoroccoWater Resources Management and Valorization and Remote Sensing Team (GEVARET), Faculty of Sciences and Technics, Sultan Moulay Slimane University, Beni Mellal 23000, MoroccoDepartment of Mathematics, Faculty of Sciences and Technics, Sultan Moulay Slimane University, Beni Mellal 23000, MoroccoInternational Water Research Institute (IWRI), Mohammed VI Polytechnic University, Green City, Ben Guerir 43150, MoroccoHydrogeology Team, UMR EMMAH, Avignon University, 84000 Avignon, FranceCenter for Remote Sensing Applications (CRSA), Mohammed VI Polytechnic University, Green City, Ben Guerir 43150, MoroccoHydrological models, with different levels of complexity, have become inherent tools in water resource management. Conceptual models with low input data requirements are preferred for streamflow modeling, particularly in poorly gauged watersheds. However, the inadequacy of model structures in the hydrologic regime of a given watershed can lead to uncertain parameter estimation. Therefore, an understanding of the model parameters’ behavior with respect to the dominant hydrologic responses is of high necessity. In this study, we aim to investigate the parameterization of the HBV (Hydrologiska Byråns Vattenbalansavedelning) conceptual model and its influence on the model response in a semi-arid context. To this end, the capability of the model to simulate the daily streamflow was evaluated. Then, sensitivity and interdependency analyses were carried out to identify the most influential model parameters and emphasize how these parameters interact to fit the observed streamflow under contrasted hydroclimatic conditions. The results show that the HBV model can fairly reproduce the observed daily streamflow in the watershed of interest. However, the reliability of the model simulations varies from one year to another. The sensitivity analysis showed that each of the model parameters has a certain degree of influence on model behavior. The temperature correction factor (ETF) showed the lowest effect on the model response, while the sensitivity to the degree-day factor (DDF) highly depends on the availability of snow cover. Overall, the changes in hydroclimatic conditions were found to be mostly responsible for the annual variability of the optimal parameter values. Additionally, these changes seem to actuate the interdependency between the parameters of the soil moisture and the response routines, particularly Field Capacity (FC), the recession coefficient K0, the percolation coefficient (KPERC), and the upper reservoir threshold (UZL). The latter combines either to shrink the storage capacity of the model’s reservoirs under extremely high peak flows or to enlarge them under overestimated water supply, mainly provoked by abundant snow cover.https://www.mdpi.com/2073-4441/12/9/2440HBV modelconceptualsemi-aridmountainsensitivity analysisinterdependency analysis |
| spellingShingle | Hamza Ouatiki Abdelghani Boudhar Aziz Ouhinou Abdelaziz Beljadid Marc Leblanc Abdelghani Chehbouni Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed Water HBV model conceptual semi-arid mountain sensitivity analysis interdependency analysis |
| title | Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed |
| title_full | Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed |
| title_fullStr | Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed |
| title_full_unstemmed | Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed |
| title_short | Sensitivity and Interdependency Analysis of the HBV Conceptual Model Parameters in a Semi-Arid Mountainous Watershed |
| title_sort | sensitivity and interdependency analysis of the hbv conceptual model parameters in a semi arid mountainous watershed |
| topic | HBV model conceptual semi-arid mountain sensitivity analysis interdependency analysis |
| url | https://www.mdpi.com/2073-4441/12/9/2440 |
| work_keys_str_mv | AT hamzaouatiki sensitivityandinterdependencyanalysisofthehbvconceptualmodelparametersinasemiaridmountainouswatershed AT abdelghaniboudhar sensitivityandinterdependencyanalysisofthehbvconceptualmodelparametersinasemiaridmountainouswatershed AT azizouhinou sensitivityandinterdependencyanalysisofthehbvconceptualmodelparametersinasemiaridmountainouswatershed AT abdelazizbeljadid sensitivityandinterdependencyanalysisofthehbvconceptualmodelparametersinasemiaridmountainouswatershed AT marcleblanc sensitivityandinterdependencyanalysisofthehbvconceptualmodelparametersinasemiaridmountainouswatershed AT abdelghanichehbouni sensitivityandinterdependencyanalysisofthehbvconceptualmodelparametersinasemiaridmountainouswatershed |