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首页> 外文期刊>Global change biology >A projection of ozone-induced wheat production loss in China and India for the years 2000 and 2020 with exposure-based and flux-based approaches.
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A projection of ozone-induced wheat production loss in China and India for the years 2000 and 2020 with exposure-based and flux-based approaches.

机译:通过基于暴露和基于通量的方法,对中国和印度在2000年和2020年臭氧引起的小麦生产损失进行了预测。

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Using a high-resolution (40x40 km) chemical transport model coupled with the Regional Emission inventory in Asia (REAS), we simulated surface ozone concentrations ([O3]) and evaluated O3-induced wheat production loss in China and India for the years 2000 and 2020 using dose-response functions based on AOT40 (accumulated [O3] above 40 ppb) and PODY (phytotoxic O3 dose, accumulated stomatal flux of O3 above a threshold of Y nmol m-2 s-1). Two O3 dose metrics (90 days AOT40 and POD6) were derived from European experiments, and the other two (75 days AOT40 and POD12) were adapted from Asian studies. Relative yield loss (RYL) of wheat in 2000 was estimated to be 6.4-14.9% for China and 8.2-22.3% for India. POD6 predicted greater RYL, especially for the warm regions of India, whereas the 90 days AOT40 gave the lowest estimates. For the future projection, all the O3 dose metrics gave comparable estimates of an increase in RYL from 2000 to 2020 in the range 8.1-9.4% and 5.4-7.7% for China and India, respectively. The lower projected increase in RYL for India may be due to conservative estimation of the emission increase in 2020. Sensitivity tests of the model showed that the PODY-based estimates of RYL are highly sensitive to perturbations in the meteorological inputs, but that the estimated increase in RYL from 2000 to 2020 is much more robust. The projected increase in wheat production loss in China and India in the near future is substantially larger than the uncertainties in the estimation and indicates an urgent need for curbing the rapid increase in surface [O3] in these regions.
机译:使用高分辨率(40x40 km)的化学传输模型,加上亚洲区域排放清单(REAS),我们模拟了表面臭氧浓度([O 3 ])并评估了O 3 <使用基于AOT40(累积的[O 3 ]高于40 ppb)和POD Y <的剂量反应函数,在2000和2020年/ sub>引起的中国和印度小麦生产损失/ sub>(植物毒性O 3 剂量,O 3 的累积气孔通量高于Y nmol m -2 s - 1 )。从欧洲实验中获得了两个O 3 剂量指标(90天AOT40和POD 6 ),另外两个(75天AOT40和POD 12 ) >)来自亚洲研究。估计2000年中国小麦的相对产量损失(RYL)为6.4-14.9%,印度为8.2-22.3%。 POD 6 预测RYL会更大,尤其是在印度温暖的地区,而90天的AOT40给出了最低的估计。对于未来的预测,所有O 3 剂量指标都提供了可比较的估计,即从2000年到2020年,中国和印度的RYL分别增长8.1-9.4%和5.4-7.7%。印度RYL的较低预测增长可能是由于对2020年排放增加的保守估计。该模型的敏感性测试表明,基于POD Y 的RYL估计对大气中的扰动高度敏感。气象方面的投入,但是从2000年到2020年RYL的估计增长要强大得多。预计在不久的将来,中国和印度的小麦产量损失将大大超过估计中的不确定性,这表明迫切需要遏制这些地区地表O 3 的迅速增加。

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