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Developing a novel hybrid model for the estimation of surface 8 h ozone (O<sub>3</sub>) across the remote Tibetan Plateau during 2005–2018
oleh: R. Li, Y. Zhao, W. Zhou, Y. Meng, Z. Zhang, H. Fu, H. Fu, H. Fu
| Format: | Article |
|---|---|
| Diterbitkan: | Copernicus Publications 2020-05-01 |
Deskripsi
<p>We developed a two-stage model called the random-forest–generalised additive model (RF–GAM), based on satellite data, meteorological factors, and other geographical covariates, to predict the surface 8 h <span class="inline-formula">O<sub>3</sub></span> concentrations across the remote Tibetan Plateau. The 10-fold cross-validation result suggested that RF–GAM showed excellent performance, with the highest <span class="inline-formula"><i>R</i><sup>2</sup></span> value (0.76) and lowest root-mean-square error (RMSE) (14.41 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>), compared with other seven machine-learning models. The predictive performance of RF–GAM showed significant seasonal discrepancy, with the highest <span class="inline-formula"><i>R</i><sup>2</sup></span> value observed in summer (0.74), followed by winter (0.69) and autumn (0.67), and the lowest one in spring (0.64). Additionally, the unlearning ground-observed <span class="inline-formula">O<sub>3</sub></span> data collected from open-access websites were applied to test the transferring ability of the novel model and confirmed that the model was robust in predicting the surface 8 h <span class="inline-formula">O<sub>3</sub></span> concentration during other periods (<span class="inline-formula"><i>R</i><sup>2</sup>=0.67</span>, RMSE <span class="inline-formula">=</span> 25.68 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>). RF–GAM was then used to predict the daily 8 h <span class="inline-formula">O<sub>3</sub></span> level over the Tibetan Plateau during 2005–2018 for the first time. It was found that the estimated <span class="inline-formula">O<sub>3</sub></span> concentration displayed a slow increase, from <span class="inline-formula">64.74±8.30</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span> to <span class="inline-formula">66.45±8.67</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span> from 2005 to 2015, whereas it decreased from the peak to <span class="inline-formula">65.87±8.52</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span> during 2015–2018. Besides this, the estimated 8 h <span class="inline-formula">O<sub>3</sub></span> concentrations exhibited notable spatial variation, with the highest values in some cities of the northern Tibetan Plateau, such as Huangnan (<span class="inline-formula">73.48±4.53</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>) and Hainan (<span class="inline-formula">72.24±5.34</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>), followed by the cities in the central region, including Lhasa (<span class="inline-formula">65.99±7.24</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>) and Shigatse (<span class="inline-formula">65.15±6.14</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>), and the lowest <span class="inline-formula">O<sub>3</sub></span> concentration occurred in a city of the southeastern Tibetan Plateau called Aba (<span class="inline-formula">55.17±12.77</span> <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>). Based on the 8 h <span class="inline-formula">O<sub>3</sub></span> critical value (100 <span class="inline-formula">µ</span>g m<span class="inline-formula"><sup>−3</sup></span>) provided by the World Health Organization (WHO), we further estimated the annual mean nonattainment days over the Tibetan Plateau. It should be noted that most of the cities on the Tibetan Plateau had excellent air quality, while several cities (e.g. Huangnan, Haidong, and Guoluo) still suffered from more than 40 nonattainment days each year, which should be given more attention in order to alleviate local <span class="inline-formula">O<sub>3</sub></span> pollution. The results shown herein confirm that the novel hybrid model improves the prediction accuracy and can be applied to assess the potential health risk, particularly in remote regions with few monitoring sites.</p>