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首页> 外文期刊>Limnology >Developing a hydro-chemical model of Ise Bay watersheds and the evaluation of climate change impacts on discharge and nitrate-nitrogen loads
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Developing a hydro-chemical model of Ise Bay watersheds and the evaluation of climate change impacts on discharge and nitrate-nitrogen loads

机译:开发ISE海湾流域的水化工学模型及气候变化对放电和硝酸盐 - 氮负荷的影响评价

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摘要

The objective of this study was to develop a hydro-chemical model using the Soil and Water Assessment Tool (SWAT) and to evaluate the climate change impacts on discharge and nitrate-nitrogen loads from Ise Bay watersheds (the Kiso, Nagara, Ibi, and Shonai rivers). Using a regional climate model, through the dynamic downscaling approach, present and future climate data were generated at a 2 km spatial resolution. The pseudo-global warming downscaling approach under the A1B scenario was adopted for future climate prediction. Then, the optimized SWAT model, driven by the present and future climate data, was executed. The following results were obtained: (1) the significant increase of precipitation in May and June and decrease in August in the future climate scenario, and consequent discharge from the target watersheds also increased in May and June and decreased in August and September; (2) Due to the change in discharge, nitrate-nitrogen loads of the Kiso, Nagara, and Ibi rivers also increased in May and June and decreased in August and September; and (3) While nitrate-nitrogen load from deciduous forest tends to decrease, the one from evergreen forest tends to increase. The response of the model indicated the possibility of an increase in nitrogen uptake by deciduous forests.
机译:本研究的目的是使用土壤和水评估工具(SWAT)开发水化学模型,并评估来自ISE湾流域的排放和硝酸盐 - 氮负荷(Kiso,Nagara,IBI和Shonai Rivers)。使用区域气候模型,通过动态缩小方法,目前和未来的气候数据以2公里的空间分辨率产生。采用了A1B场景下的伪全球变暖缩小方法为未来的气候预测。然后,执行由当前和未来的气候数据驱动的优化的SWAT模型。获得以下结果:(1)5月和6月份降水量的显着增加和8月份在未来的气候情景中减少,从5月和6月份的目标流域的随后的排放也在8月和9月下降; (2)由于排放的变化,kiso,Nagara和Ibi Rivers的硝酸盐 - 氮负载也在5月和6月份和8月和9月下降; (3)虽然落叶林的硝酸盐 - 氮载荷往往会降低,但常绿林中的含量趋于增加。模型的响应表明落叶林增加氮气吸收的可能性。

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