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) en A holistic approach for determining the hydrology of the mar menor coastal lagoon by combining hydrological & hydrodynamic models
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| 8 | "author": "Senent-Aparicio, J., Lopez-Ballesteros, A., Nielsen, A., | 8 | "author": "Senent-Aparicio, J., Lopez-Ballesteros, A., Nielsen, A., | ||
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| 98 | "notes": "A combination of hydrological and hydrodynamic modelling | 108 | "notes": "A combination of hydrological and hydrodynamic modelling | ||
| 99 | can be applied to understand the hydrology and key water balance | 109 | can be applied to understand the hydrology and key water balance | ||
| 100 | components of lakes and lagoons. In this research, the Soil and Water | 110 | components of lakes and lagoons. In this research, the Soil and Water | ||
| 101 | Assessment Tool (SWAT) model and the QGIS Water Ecosystems Tool (QWET) | 111 | Assessment Tool (SWAT) model and the QGIS Water Ecosystems Tool (QWET) | ||
| 102 | were applied for the Mar Menor coastal lagoon and its watershed known | 112 | were applied for the Mar Menor coastal lagoon and its watershed known | ||
| 103 | as Campo de Cartagena. First, the SWAT model was calibrated and | 113 | as Campo de Cartagena. First, the SWAT model was calibrated and | ||
| 104 | validated based on remote sensing evapotranspiration data. Results | 114 | validated based on remote sensing evapotranspiration data. Results | ||
| 105 | showed an acceptable performance of the SWAT model in both calibration | 115 | showed an acceptable performance of the SWAT model in both calibration | ||
| 106 | (R2 = 0.63, NSE = 0.62, PBIAS = 2.91%) and validation (R2 = 0.68, NSE | 116 | (R2 = 0.63, NSE = 0.62, PBIAS = 2.91%) and validation (R2 = 0.68, NSE | ||
| 107 | = 0.68, PBIAS = 2.47%) periods on a monthly basis. The SWAT simulated | 117 | = 0.68, PBIAS = 2.47%) periods on a monthly basis. The SWAT simulated | ||
| 108 | streamflow was fed into the QWET model to simulate the water balance | 118 | streamflow was fed into the QWET model to simulate the water balance | ||
| 109 | of the lagoon. The hydrodynamic model performance was evaluated based | 119 | of the lagoon. The hydrodynamic model performance was evaluated based | ||
| 110 | on a comparison between simulated and observed water temperatures and | 120 | on a comparison between simulated and observed water temperatures and | ||
| 111 | also the model estimated evaporation. Simulated daily temperatures | 121 | also the model estimated evaporation. Simulated daily temperatures | ||
| 112 | showed a good agreement with observed data by capturing the timing and | 122 | showed a good agreement with observed data by capturing the timing and | ||
| 113 | inter-annual variations, with an NSE of 0.98, and a BIAS of 2.7%. Our | 123 | inter-annual variations, with an NSE of 0.98, and a BIAS of 2.7%. Our | ||
| 114 | water balance estimation, using the reference period 2003-2019, yields | 124 | water balance estimation, using the reference period 2003-2019, yields | ||
| 115 | a mean annual rainfall over the lake of 301 mm and a mean annual | 125 | a mean annual rainfall over the lake of 301 mm and a mean annual | ||
| 116 | evaporation of 1325 mm. The average surface runoff and groundwater | 126 | evaporation of 1325 mm. The average surface runoff and groundwater | ||
| 117 | discharge to the lagoon are 49 hm3/year and 11 hm3/year, respectively. | 127 | discharge to the lagoon are 49 hm3/year and 11 hm3/year, respectively. | ||
| 118 | Extreme storm events cause annual surface runoff to vary between 8 | 128 | Extreme storm events cause annual surface runoff to vary between 8 | ||
| 119 | hm3/year and 202 hm3/year. The water balance was closed with the water | 129 | hm3/year and 202 hm3/year. The water balance was closed with the water | ||
| 120 | exchange with the Mediterranean Sea, resulting in an overall positive | 130 | exchange with the Mediterranean Sea, resulting in an overall positive | ||
| 121 | flow from the Mediterranean Sea of 82 hm3/year. Our study showed that | 131 | flow from the Mediterranean Sea of 82 hm3/year. Our study showed that | ||
| 122 | during summer months, in particular, there is considerable inflow of | 132 | during summer months, in particular, there is considerable inflow of | ||
| 123 | Mediterranean water to the lagoon, whereas for some autumn and winter | 133 | Mediterranean water to the lagoon, whereas for some autumn and winter | ||
| 124 | months (November, December and January) there is a net outflow from | 134 | months (November, December and January) there is a net outflow from | ||
| 125 | the lagoon to the Mediterranean. This novel approach by combining the | 135 | the lagoon to the Mediterranean. This novel approach by combining the | ||
| 126 | SWAT hydrological model and QWET hydrodynamic model complex provides a | 136 | SWAT hydrological model and QWET hydrodynamic model complex provides a | ||
| 127 | useful tool for understanding the hydrology of the lagoon and may also | 137 | useful tool for understanding the hydrology of the lagoon and may also | ||
| 128 | play a role for decision makers when developing strategies for | 138 | play a role for decision makers when developing strategies for | ||
| 129 | mitigating eutrophication.", | 139 | mitigating eutrophication.", | ||
| 130 | "notes_translated": { | 140 | "notes_translated": { | ||
| 131 | "es": "A combination of hydrological and hydrodynamic modelling | 141 | "es": "A combination of hydrological and hydrodynamic modelling | ||
| 132 | can be applied to understand the hydrology and key water balance | 142 | can be applied to understand the hydrology and key water balance | ||
| 133 | components of lakes and lagoons. In this research, the Soil and Water | 143 | components of lakes and lagoons. In this research, the Soil and Water | ||
| 134 | Assessment Tool (SWAT) model and the QGIS Water Ecosystems Tool (QWET) | 144 | Assessment Tool (SWAT) model and the QGIS Water Ecosystems Tool (QWET) | ||
| 135 | were applied for the Mar Menor coastal lagoon and its watershed known | 145 | were applied for the Mar Menor coastal lagoon and its watershed known | ||
| 136 | as Campo de Cartagena. First, the SWAT model was calibrated and | 146 | as Campo de Cartagena. First, the SWAT model was calibrated and | ||
| 137 | validated based on remote sensing evapotranspiration data. Results | 147 | validated based on remote sensing evapotranspiration data. Results | ||
| 138 | showed an acceptable performance of the SWAT model in both calibration | 148 | showed an acceptable performance of the SWAT model in both calibration | ||
| 139 | (R2 = 0.63, NSE = 0.62, PBIAS = 2.91%) and validation (R2 = 0.68, NSE | 149 | (R2 = 0.63, NSE = 0.62, PBIAS = 2.91%) and validation (R2 = 0.68, NSE | ||
| 140 | = 0.68, PBIAS = 2.47%) periods on a monthly basis. The SWAT simulated | 150 | = 0.68, PBIAS = 2.47%) periods on a monthly basis. The SWAT simulated | ||
| 141 | streamflow was fed into the QWET model to simulate the water balance | 151 | streamflow was fed into the QWET model to simulate the water balance | ||
| 142 | of the lagoon. The hydrodynamic model performance was evaluated based | 152 | of the lagoon. The hydrodynamic model performance was evaluated based | ||
| 143 | on a comparison between simulated and observed water temperatures and | 153 | on a comparison between simulated and observed water temperatures and | ||
| 144 | also the model estimated evaporation. Simulated daily temperatures | 154 | also the model estimated evaporation. Simulated daily temperatures | ||
| 145 | showed a good agreement with observed data by capturing the timing and | 155 | showed a good agreement with observed data by capturing the timing and | ||
| 146 | inter-annual variations, with an NSE of 0.98, and a BIAS of 2.7%. Our | 156 | inter-annual variations, with an NSE of 0.98, and a BIAS of 2.7%. Our | ||
| 147 | water balance estimation, using the reference period 2003-2019, yields | 157 | water balance estimation, using the reference period 2003-2019, yields | ||
| 148 | a mean annual rainfall over the lake of 301 mm and a mean annual | 158 | a mean annual rainfall over the lake of 301 mm and a mean annual | ||
| 149 | evaporation of 1325 mm. The average surface runoff and groundwater | 159 | evaporation of 1325 mm. The average surface runoff and groundwater | ||
| 150 | discharge to the lagoon are 49 hm3/year and 11 hm3/year, respectively. | 160 | discharge to the lagoon are 49 hm3/year and 11 hm3/year, respectively. | ||
| 151 | Extreme storm events cause annual surface runoff to vary between 8 | 161 | Extreme storm events cause annual surface runoff to vary between 8 | ||
| 152 | hm3/year and 202 hm3/year. The water balance was closed with the water | 162 | hm3/year and 202 hm3/year. The water balance was closed with the water | ||
| 153 | exchange with the Mediterranean Sea, resulting in an overall positive | 163 | exchange with the Mediterranean Sea, resulting in an overall positive | ||
| 154 | flow from the Mediterranean Sea of 82 hm3/year. Our study showed that | 164 | flow from the Mediterranean Sea of 82 hm3/year. Our study showed that | ||
| 155 | during summer months, in particular, there is considerable inflow of | 165 | during summer months, in particular, there is considerable inflow of | ||
| 156 | Mediterranean water to the lagoon, whereas for some autumn and winter | 166 | Mediterranean water to the lagoon, whereas for some autumn and winter | ||
| 157 | months (November, December and January) there is a net outflow from | 167 | months (November, December and January) there is a net outflow from | ||
| 158 | the lagoon to the Mediterranean. This novel approach by combining the | 168 | the lagoon to the Mediterranean. This novel approach by combining the | ||
| 159 | SWAT hydrological model and QWET hydrodynamic model complex provides a | 169 | SWAT hydrological model and QWET hydrodynamic model complex provides a | ||
| 160 | useful tool for understanding the hydrology of the lagoon and may also | 170 | useful tool for understanding the hydrology of the lagoon and may also | ||
| 161 | play a role for decision makers when developing strategies for | 171 | play a role for decision makers when developing strategies for | ||
| 162 | mitigating eutrophication." | 172 | mitigating eutrophication." | ||
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