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a2026-06-25
en Spatio-temporal changes of road traffic noise pollution at ecoregional scale. -
Modificado el valor del campo
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del recurso Acceso al recurso a2026-06-25
(anteriormente2026-06-23
) en Spatio-temporal changes of road traffic noise pollution at ecoregional scale.
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| 81 | "notes": "Noise pollution is a pervasive factor that increasingly | 95 | "notes": "Noise pollution is a pervasive factor that increasingly | ||
| 82 | threatens natural resources and human health worldwide. In particular, | 96 | threatens natural resources and human health worldwide. In particular, | ||
| 83 | large-scale changes in road networks have driven shifts in the | 97 | large-scale changes in road networks have driven shifts in the | ||
| 84 | acoustic environment of rural landscapes during the past few decades. | 98 | acoustic environment of rural landscapes during the past few decades. | ||
| 85 | Using sampling plots from the Spanish Landscape Monitoring System | 99 | Using sampling plots from the Spanish Landscape Monitoring System | ||
| 86 | (SISPARES), 16 km2 each, we modelled the spatio-temporal changes in | 100 | (SISPARES), 16 km2 each, we modelled the spatio-temporal changes in | ||
| 87 | road traffic noise pollution in Ecoregion 1 of Spain (approximately | 101 | road traffic noise pollution in Ecoregion 1 of Spain (approximately | ||
| 88 | 66,000 km2). We selected a study period that was characterised by | 102 | 66,000 km2). We selected a study period that was characterised by | ||
| 89 | significant changes in the size of the road network and the vehicle | 103 | significant changes in the size of the road network and the vehicle | ||
| 90 | fleet (i.e. between 1995 and 2014) and used standard and validated | 104 | fleet (i.e. between 1995 and 2014) and used standard and validated | ||
| 91 | acoustic computation methods for environmental noise modelling (i.e. | 105 | acoustic computation methods for environmental noise modelling (i.e. | ||
| 92 | European Directive, 2002/49/EC) within sampling plots. We then applied | 106 | European Directive, 2002/49/EC) within sampling plots. We then applied | ||
| 93 | a multiple linear regression to expand noise modelling throughout the | 107 | a multiple linear regression to expand noise modelling throughout the | ||
| 94 | whole of Ecoregion 1. Our results showed that the noise level | 108 | whole of Ecoregion 1. Our results showed that the noise level | ||
| 95 | increased by 1.7 dB(A) in average per decade in approximately 65% of | 109 | increased by 1.7 dB(A) in average per decade in approximately 65% of | ||
| 96 | the territory, decreased by 1.3 dB(A) per decade in about 33%, and | 110 | the territory, decreased by 1.3 dB(A) per decade in about 33%, and | ||
| 97 | remained unchanged in 2%. This suggests that road traffic noise | 111 | remained unchanged in 2%. This suggests that road traffic noise | ||
| 98 | pollution levels may not grow homogeneously in large geographical | 112 | pollution levels may not grow homogeneously in large geographical | ||
| 99 | areas, maybe due to the concentration of large fast traffic flows on | 113 | areas, maybe due to the concentration of large fast traffic flows on | ||
| 100 | modern motorways connecting towns. Our research exemplifies how | 114 | modern motorways connecting towns. Our research exemplifies how | ||
| 101 | landscape monitoring systems such as cost-effective approaches may | 115 | landscape monitoring systems such as cost-effective approaches may | ||
| 102 | play an important role when assessing spatio-temporal patterns and the | 116 | play an important role when assessing spatio-temporal patterns and the | ||
| 103 | impact of anthropogenic noise pollution at large geographical scales, | 117 | impact of anthropogenic noise pollution at large geographical scales, | ||
| 104 | and even more so in a global context of constricted resources and | 118 | and even more so in a global context of constricted resources and | ||
| 105 | limited availability of historical data on traffic and environmental | 119 | limited availability of historical data on traffic and environmental | ||
| 106 | noise monitoring.", | 120 | noise monitoring.", | ||
| 107 | "notes_translated": { | 121 | "notes_translated": { | ||
| 108 | "en": "Noise pollution is a pervasive factor that increasingly | 122 | "en": "Noise pollution is a pervasive factor that increasingly | ||
| 109 | threatens natural resources and human health worldwide. In particular, | 123 | threatens natural resources and human health worldwide. In particular, | ||
| 110 | large-scale changes in road networks have driven shifts in the | 124 | large-scale changes in road networks have driven shifts in the | ||
| 111 | acoustic environment of rural landscapes during the past few decades. | 125 | acoustic environment of rural landscapes during the past few decades. | ||
| 112 | Using sampling plots from the Spanish Landscape Monitoring System | 126 | Using sampling plots from the Spanish Landscape Monitoring System | ||
| 113 | (SISPARES), 16\u00a0km2\u00a0each, we modelled the spatio-temporal | 127 | (SISPARES), 16\u00a0km2\u00a0each, we modelled the spatio-temporal | ||
| 114 | changes in road traffic noise pollution in Ecoregion 1 of Spain | 128 | changes in road traffic noise pollution in Ecoregion 1 of Spain | ||
| 115 | (approximately 66,000\u00a0km2). We selected a study period that was | 129 | (approximately 66,000\u00a0km2). We selected a study period that was | ||
| 116 | characterised by significant changes in the size of the road network | 130 | characterised by significant changes in the size of the road network | ||
| 117 | and the vehicle fleet (i.e. between 1995 and 2014) and used standard | 131 | and the vehicle fleet (i.e. between 1995 and 2014) and used standard | ||
| 118 | and validated acoustic computation methods for environmental noise | 132 | and validated acoustic computation methods for environmental noise | ||
| 119 | modelling (i.e. European Directive, 2002/49/EC) within sampling plots. | 133 | modelling (i.e. European Directive, 2002/49/EC) within sampling plots. | ||
| 120 | We then applied a multiple linear regression to expand noise modelling | 134 | We then applied a multiple linear regression to expand noise modelling | ||
| 121 | throughout the whole of Ecoregion 1. Our results showed that the noise | 135 | throughout the whole of Ecoregion 1. Our results showed that the noise | ||
| 122 | level increased by 1.7\u00a0dB(A) in average per decade in | 136 | level increased by 1.7\u00a0dB(A) in average per decade in | ||
| 123 | approximately 65% of the territory, decreased by 1.3\u00a0dB(A) per | 137 | approximately 65% of the territory, decreased by 1.3\u00a0dB(A) per | ||
| 124 | decade in about 33%, and remained unchanged in 2%. This suggests that | 138 | decade in about 33%, and remained unchanged in 2%. This suggests that | ||
| 125 | road traffic noise pollution levels may not grow homogeneously in | 139 | road traffic noise pollution levels may not grow homogeneously in | ||
| 126 | large geographical areas, maybe due to the concentration of large fast | 140 | large geographical areas, maybe due to the concentration of large fast | ||
| 127 | traffic flows on modern motorways connecting towns. Our research | 141 | traffic flows on modern motorways connecting towns. Our research | ||
| 128 | exemplifies how landscape monitoring systems such as cost-effective | 142 | exemplifies how landscape monitoring systems such as cost-effective | ||
| 129 | approaches may play an important role when assessing spatio-temporal | 143 | approaches may play an important role when assessing spatio-temporal | ||
| 130 | patterns and the impact of anthropogenic noise pollution at large | 144 | patterns and the impact of anthropogenic noise pollution at large | ||
| 131 | geographical scales, and even more so in a global context of | 145 | geographical scales, and even more so in a global context of | ||
| 132 | constricted resources and limited availability of historical data on | 146 | constricted resources and limited availability of historical data on | ||
| 133 | traffic and environmental\u00a0noise monitoring.", | 147 | traffic and environmental\u00a0noise monitoring.", | ||
| 134 | "es": "Noise pollution is a pervasive factor that increasingly | 148 | "es": "Noise pollution is a pervasive factor that increasingly | ||
| 135 | threatens natural resources and human health worldwide. In particular, | 149 | threatens natural resources and human health worldwide. In particular, | ||
| 136 | large-scale changes in road networks have driven shifts in the | 150 | large-scale changes in road networks have driven shifts in the | ||
| 137 | acoustic environment of rural landscapes during the past few decades. | 151 | acoustic environment of rural landscapes during the past few decades. | ||
| 138 | Using sampling plots from the Spanish Landscape Monitoring System | 152 | Using sampling plots from the Spanish Landscape Monitoring System | ||
| 139 | (SISPARES), 16 km2 each, we modelled the spatio-temporal changes in | 153 | (SISPARES), 16 km2 each, we modelled the spatio-temporal changes in | ||
| 140 | road traffic noise pollution in Ecoregion 1 of Spain (approximately | 154 | road traffic noise pollution in Ecoregion 1 of Spain (approximately | ||
| 141 | 66,000 km2). We selected a study period that was characterised by | 155 | 66,000 km2). We selected a study period that was characterised by | ||
| 142 | significant changes in the size of the road network and the vehicle | 156 | significant changes in the size of the road network and the vehicle | ||
| 143 | fleet (i.e. between 1995 and 2014) and used standard and validated | 157 | fleet (i.e. between 1995 and 2014) and used standard and validated | ||
| 144 | acoustic computation methods for environmental noise modelling (i.e. | 158 | acoustic computation methods for environmental noise modelling (i.e. | ||
| 145 | European Directive, 2002/49/EC) within sampling plots. We then applied | 159 | European Directive, 2002/49/EC) within sampling plots. We then applied | ||
| 146 | a multiple linear regression to expand noise modelling throughout the | 160 | a multiple linear regression to expand noise modelling throughout the | ||
| 147 | whole of Ecoregion 1. Our results showed that the noise level | 161 | whole of Ecoregion 1. Our results showed that the noise level | ||
| 148 | increased by 1.7 dB(A) in average per decade in approximately 65% of | 162 | increased by 1.7 dB(A) in average per decade in approximately 65% of | ||
| 149 | the territory, decreased by 1.3 dB(A) per decade in about 33%, and | 163 | the territory, decreased by 1.3 dB(A) per decade in about 33%, and | ||
| 150 | remained unchanged in 2%. This suggests that road traffic noise | 164 | remained unchanged in 2%. This suggests that road traffic noise | ||
| 151 | pollution levels may not grow homogeneously in large geographical | 165 | pollution levels may not grow homogeneously in large geographical | ||
| 152 | areas, maybe due to the concentration of large fast traffic flows on | 166 | areas, maybe due to the concentration of large fast traffic flows on | ||
| 153 | modern motorways connecting towns. Our research exemplifies how | 167 | modern motorways connecting towns. Our research exemplifies how | ||
| 154 | landscape monitoring systems such as cost-effective approaches may | 168 | landscape monitoring systems such as cost-effective approaches may | ||
| 155 | play an important role when assessing spatio-temporal patterns and the | 169 | play an important role when assessing spatio-temporal patterns and the | ||
| 156 | impact of anthropogenic noise pollution at large geographical scales, | 170 | impact of anthropogenic noise pollution at large geographical scales, | ||
| 157 | and even more so in a global context of constricted resources and | 171 | and even more so in a global context of constricted resources and | ||
| 158 | limited availability of historical data on traffic and environmental | 172 | limited availability of historical data on traffic and environmental | ||
| 159 | noise monitoring." | 173 | noise monitoring." | ||
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