Developing a hydro-chemical model of Ise Bay watersheds and the evaluation of climate change impacts on discharge and nitrate-nitrogen loads
Developing a hydro-chemical model of Ise Bay watersheds and the evaluation of climate change impacts on discharge and nitrate-nitrogen loads
复制标题
开发伊势湾流域的水化学模型并评估气候变化对排放和硝态氮负荷的影响
DOI：
10.1007/s10201-020-00622-2
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发表时间：
2020
期刊：
影响因子：
1.6
通讯作者：
H. Somura
中科院分区：
文献类型：
--
作者：
T. Onishi;J. Yoshino;K. Hiramatsu;H. Somura
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，并评估气候变化对伊势湾流域（木曾河、长良河、伊比河和庄内河）排放和硝态氮负荷的影响。使用区域气候模型，通过动态降尺度方法，以 2 公里的空间分辨率生成当前和未来的气候数据。未来气候预测采用A1B情景下的拟全球变暖降尺度方法。然后，在当前和未来气候数据的驱动下，执行优化的 SWAT 模型。结果表明：（1）未来气候情景下，5、6月降水量显着增加，8月减少，目标流域流量也随之增加，5、6月增加，8、9月减少； （2）由于流量的变化，木曾河、长良河、伊比河的硝态氮负荷也在5、6月增加，8、9月减少； (3)落叶林硝态氮负荷呈下降趋势，而常绿林硝态氮负荷呈上升趋势。模型的响应表明落叶林氮吸收量可能增加。
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.
影响因子：
7.5
作者：
J. Houghton;Y. Ding;D. Griggs;M. Noguer;P. Linden;X. Dai;K. Maskell;C. Johnson
通讯作者：
J. Houghton;Y. Ding;D. Griggs;M. Noguer;P. Linden;X. Dai;K. Maskell;C. Johnson
影响因子：
5.2
作者：
Gregory, JM;Dixon, KW;Thorpe, RB
通讯作者：
Thorpe, RB
影响因子：
4.4
作者：
Kawase, Hiroaki;Yoshikane, Takao;Inoue, Tomoshige
通讯作者：
Inoue, Tomoshige