【摘要】 利用SWAT模型，分别于2019—2022年、2020—2022年、2019—2022年，在长三角地区的秦淮河流域、洛阳河流域和中田河流域开展逐月的径流模拟和总氮模拟。结果表明：SWAT模型在3个流域的径流量模拟(R²>0.83,E_NS>0.65)和总氮模拟(R²>0.63,E_NS>0.51)中均表现出较好的效果；2020—2022年，秦淮河流域的单位面积年平均总氮负荷（1.108±0.391 t/km²）与洛阳河流域（0.939±0.174 t/km²）和中田河流域（1.256±0.490 t/km²）相当；洛阳河流域的总氮负荷与降水量的相关性（R²=0.25,p<0.05）低于秦淮河流域（R²=0.73,p<0.01）和中田河流域（R²=0.86,p<0.001），说明洛阳河流域的总氮负荷对降雨响应的敏感性更弱。研究可为流域的氮素管理提供理论依据和决策支持。更多还原

【Abstract】 This study employed the SWAT model to perform monthly simulations of runoff and total nitrogen in the Qinhuai River Basin,Luoyang River Basin,and Zhongtian River Basin within the Yangtze River Delta Region from2019 to 2022,2020 to 2022,and 2019 to 2022,respectively.The results showed that the SWAT model demonstrated good performance in the simulation of runoff(with R~2>0.83 and ENS>0.65)and total nitrogen(with R~2>0.63 and ENS>0.51)in the three watersheds.From 2020 to 2022,the unit area annual average total nitrogen load in the Qinhuai River Basin(1.108±0.391 T/（km~2·y))was comparable to that of the Luoyang River Basin(0.939±0.174 T/（km~2·y))and the Zhongtian River Basin(1.256±0.490 T/（km~2·y)).The correlation between total nitrogen load and rainfall in the Luoyang River Basin(R~2=0.25,p<0.05)was lower than that observed in the Qinhuai River Basin(R~2=0.73,p<0.01)and the Zhongtian River Basin(R~2=0.86,p<0.001),indicating a reduced sensitivity of total nitrogen load to rainfall response in the Luoyang River Basin.This study provides a theoretical basis and decision support for the management of nitrogen in watersheds.更多还原