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  "author": "Garcia del Toro, E.M., Francisco Mateo, L., 
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Garcia-Salgado, S., Isabel Mas-Lopez, M. y Angeles Quijano, M.",
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  "notes": "The Mar Menor is a Mediterranean coastal saltwater lagoon 
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  "notes": "The Mar Menor is a Mediterranean coastal saltwater lagoon 
            
96
(Murcia, Spain) that represents a unique ecosystem of vital importance 
106
(Murcia, Spain) that represents a unique ecosystem of vital importance 
            
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for the area, from both an economic and ecological point of view. 
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for the area, from both an economic and ecological point of view. 
            
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During the last decades, the intense agricultural activity has caused 
108
During the last decades, the intense agricultural activity has caused 
            
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episodes of eutrophication due to the contribution of inorganic 
109
episodes of eutrophication due to the contribution of inorganic 
            
100
nutrients, especially nitrates. For this reason, it is important to 
110
nutrients, especially nitrates. For this reason, it is important to 
            
101
control the quality of the water discharged into the Mar Menor lagoon, 
111
control the quality of the water discharged into the Mar Menor lagoon, 
            
102
which can be performed through the measurement of dissolved oxygen 
112
which can be performed through the measurement of dissolved oxygen 
            
103
(DO). Therefore, this article aimed to predict the DO in the water 
113
(DO). Therefore, this article aimed to predict the DO in the water 
            
104
discharged into this lagoon through the El Albujon watercourse, for 
114
discharged into this lagoon through the El Albujon watercourse, for 
            
105
which two theoretical models consisting of a multiple linear 
115
which two theoretical models consisting of a multiple linear 
            
106
regression (MLR) and a back-propagation neural network (RPROP) were 
116
regression (MLR) and a back-propagation neural network (RPROP) were 
            
107
developed. Data of temperature, pH, nitrates, chlorides, sulphates, 
117
developed. Data of temperature, pH, nitrates, chlorides, sulphates, 
            
108
electrical conductivity, phosphates and DO at the mouth of this 
118
electrical conductivity, phosphates and DO at the mouth of this 
            
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watercourse, between January 2014 and January 2021, were used. A 
119
watercourse, between January 2014 and January 2021, were used. A 
            
110
preliminary statistical study was performed to discard the variables 
120
preliminary statistical study was performed to discard the variables 
            
111
with the lowest influence on DO. Finally, both theoretical models were 
121
with the lowest influence on DO. Finally, both theoretical models were 
            
112
compared by means of the coefficient of determination (R-2), the root 
122
compared by means of the coefficient of determination (R-2), the root 
            
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mean square errors (RMSE) and the mean absolute error (MAE), 
123
mean square errors (RMSE) and the mean absolute error (MAE), 
            
114
concluding that the neural network made a more accurate prediction of 
124
concluding that the neural network made a more accurate prediction of 
            
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DO.",
125
DO.",
            
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    "es": "The Mar Menor is a Mediterranean coastal saltwater lagoon 
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    "es": "The Mar Menor is a Mediterranean coastal saltwater lagoon 
            
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(Murcia, Spain) that represents a unique ecosystem of vital importance 
128
(Murcia, Spain) that represents a unique ecosystem of vital importance 
            
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for the area, from both an economic and ecological point of view. 
129
for the area, from both an economic and ecological point of view. 
            
120
During the last decades, the intense agricultural activity has caused 
130
During the last decades, the intense agricultural activity has caused 
            
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episodes of eutrophication due to the contribution of inorganic 
131
episodes of eutrophication due to the contribution of inorganic 
            
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nutrients, especially nitrates. For this reason, it is important to 
132
nutrients, especially nitrates. For this reason, it is important to 
            
123
control the quality of the water discharged into the Mar Menor lagoon, 
133
control the quality of the water discharged into the Mar Menor lagoon, 
            
124
which can be performed through the measurement of dissolved oxygen 
134
which can be performed through the measurement of dissolved oxygen 
            
125
(DO). Therefore, this article aimed to predict the DO in the water 
135
(DO). Therefore, this article aimed to predict the DO in the water 
            
126
discharged into this lagoon through the El Albujon watercourse, for 
136
discharged into this lagoon through the El Albujon watercourse, for 
            
127
which two theoretical models consisting of a multiple linear 
137
which two theoretical models consisting of a multiple linear 
            
128
regression (MLR) and a back-propagation neural network (RPROP) were 
138
regression (MLR) and a back-propagation neural network (RPROP) were 
            
129
developed. Data of temperature, pH, nitrates, chlorides, sulphates, 
139
developed. Data of temperature, pH, nitrates, chlorides, sulphates, 
            
130
electrical conductivity, phosphates and DO at the mouth of this 
140
electrical conductivity, phosphates and DO at the mouth of this 
            
131
watercourse, between January 2014 and January 2021, were used. A 
141
watercourse, between January 2014 and January 2021, were used. A 
            
132
preliminary statistical study was performed to discard the variables 
142
preliminary statistical study was performed to discard the variables 
            
133
with the lowest influence on DO. Finally, both theoretical models were 
143
with the lowest influence on DO. Finally, both theoretical models were 
            
134
compared by means of the coefficient of determination (R-2), the root 
144
compared by means of the coefficient of determination (R-2), the root 
            
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mean square errors (RMSE) and the mean absolute error (MAE), 
145
mean square errors (RMSE) and the mean absolute error (MAE), 
            
136
concluding that the neural network made a more accurate prediction of 
146
concluding that the neural network made a more accurate prediction of 
            
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DO."
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DO."
            
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