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• W3206578428 endingPage "108287" @default.
• W3206578428 startingPage "108287" @default.
• W3206578428 abstract "Dust pollution is one of the major environmental crises in the arid regions of Iran and there is a need to predict dust pollution and identify its controlling factors to help reduce its adverse effects on the livelihood of residents of these areas. Although deep neural networks (DNN) are powerful tools in the modelling of environmental phenomena, they are recognized as being challenging to interpret due to their black-box nature. To address this issue and understand the importance of each environmental control on dust pollution, game theory (i.e., Shapley values) was used to better understand the performance and interpretability of DNN models. Here, monthly mean values of precipitation, air temperature, surface wind speed, potential evapotranspiration, normalized difference vegetation index, normalized difference salinity index, Palmer drought severity index, soil heat flux, and surface pressure were selected as explanatory variables. The dust storm index (DSI), an indicator of dust pollution, was the predicted response variable for the cold and warm months. The results showed that the accuracies of the DNN model in predicting cold months DSI (CMDSI) and warm months DSI (WMDSI) were higher compared to other traditional machine learning algorithms. DNN model increased the R2 by 13% and 15% for predicting CMDSI and WMDSI, respectively, compared to the Random Forest model, which was the second most effective approach. According to the Shapley values, the most important controls on the occurrence of dust storms during the cold months of the study period (2000–2018) were wind speed, soil heat flux, and precipitation. During the warm months, wind speed was the most important controlling factor and was followed by precipitation, soil heat flux, and potential evapotranspiration. Overall, the results demonstrate the effectiveness of the DNN model and game theory in identifying the factors affecting dust pollution, which may help mitigate its impacts on the residents of western Iran." @default.
• W3206578428 created "2021-10-25" @default.
• W3206578428 creator A5009815450 @default.
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• W3206578428 creator A5069180892 @default.
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• W3206578428 creator A5084241873 @default.
• W3206578428 date "2021-12-01" @default.
• W3206578428 modified "2023-10-17" @default.
• W3206578428 title "Determining the contribution of environmental factors in controlling dust pollution during cold and warm months of western Iran using different data mining algorithms and game theory" @default.
• W3206578428 cites W1569121100 @default.
• W3206578428 cites W1787224781 @default.
• W3206578428 cites W1893920487 @default.
• W3206578428 cites W1969974566 @default.
• W3206578428 cites W1971916086 @default.
• W3206578428 cites W1972085193 @default.
• W3206578428 cites W1975638243 @default.
• W3206578428 cites W1979582682 @default.
• W3206578428 cites W1996698265 @default.
• W3206578428 cites W2002115844 @default.
• W3206578428 cites W2003827464 @default.
• W3206578428 cites W2009927598 @default.
• W3206578428 cites W2021833436 @default.
• W3206578428 cites W2029944021 @default.
• W3206578428 cites W2038751902 @default.
• W3206578428 cites W2039049978 @default.
• W3206578428 cites W2064908124 @default.
• W3206578428 cites W2076063813 @default.
• W3206578428 cites W2078275329 @default.
• W3206578428 cites W2080556973 @default.
• W3206578428 cites W2094831034 @default.
• W3206578428 cites W2096990904 @default.
• W3206578428 cites W2102148524 @default.
• W3206578428 cites W2111822688 @default.
• W3206578428 cites W2123162799 @default.
• W3206578428 cites W2133785149 @default.
• W3206578428 cites W2135203849 @default.
• W3206578428 cites W216263618 @default.
• W3206578428 cites W2178710328 @default.
• W3206578428 cites W2181121483 @default.
• W3206578428 cites W2297777170 @default.
• W3206578428 cites W2318004685 @default.
• W3206578428 cites W2416105835 @default.
• W3206578428 cites W2487149011 @default.
• W3206578428 cites W2501982908 @default.
• W3206578428 cites W2509643985 @default.
• W3206578428 cites W2565516711 @default.
• W3206578428 cites W2610242456 @default.
• W3206578428 cites W2611494333 @default.
• W3206578428 cites W2657631929 @default.
• W3206578428 cites W2719091425 @default.
• W3206578428 cites W2747126523 @default.
• W3206578428 cites W2767838978 @default.
• W3206578428 cites W2778314932 @default.
• W3206578428 cites W2784031884 @default.
• W3206578428 cites W2792986592 @default.
• W3206578428 cites W2801948943 @default.
• W3206578428 cites W2804613212 @default.
• W3206578428 cites W2807013213 @default.
• W3206578428 cites W2807036076 @default.
• W3206578428 cites W2807236430 @default.
• W3206578428 cites W2813865948 @default.
• W3206578428 cites W2893011787 @default.
• W3206578428 cites W2898564590 @default.
• W3206578428 cites W2902221781 @default.
• W3206578428 cites W2904147223 @default.
• W3206578428 cites W2905241670 @default.
• W3206578428 cites W2910840717 @default.
• W3206578428 cites W2913326686 @default.
• W3206578428 cites W2950932400 @default.
• W3206578428 cites W2951312254 @default.
• W3206578428 cites W2958623586 @default.
• W3206578428 cites W2966951528 @default.
• W3206578428 cites W2981802428 @default.
• W3206578428 cites W2984078260 @default.
• W3206578428 cites W2985064421 @default.
• W3206578428 cites W2985066207 @default.
• W3206578428 cites W2986457312 @default.
• W3206578428 cites W2989701889 @default.
• W3206578428 cites W2990083266 @default.
• W3206578428 cites W2991192488 @default.
• W3206578428 cites W2995562269 @default.
• W3206578428 cites W2996491131 @default.
• W3206578428 cites W2998470349 @default.
• W3206578428 cites W3001814474 @default.
• W3206578428 cites W3003833119 @default.
• W3206578428 cites W3004798586 @default.
• W3206578428 cites W3004809130 @default.
• W3206578428 cites W3009637177 @default.
• W3206578428 cites W3015083507 @default.
• W3206578428 cites W3019671586 @default.
• W3206578428 cites W3082058218 @default.
• W3206578428 cites W3091721240 @default.
• W3206578428 cites W3102027041 @default.
• W3206578428 cites W3108704248 @default.

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