Dynamics-based estimates of decline trend with fine temporal variations in China's PM_2.5 emissions by Z. Peng, L. Lei, L. Lei, Z.-M. Tan, Z.-M. Tan, M. Zhang, A. Ding, X. Kou

“…Improved representations of PM<span class="inline-formula">_2.5</span> emissions across timescales can benefit emission inventory, regulation policy and emission trading schemes, particularly for especially for high-temporal-resolution air quality forecasting and policy response to severe haze pollution or rare human events with significant socioeconomic impacts.…”
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