Page 57 - 水利学报2025年第56卷第4期
P. 57
.
[ 5 ] 李维京,张若楠,孙丞虎,等 . 中国南方旱涝年际年代际变化及成因研究进展[J] 应用气象学报,2016,27
(5):577-591.
[ 6 ] YANG W,LONG D,SCANLON B R,et al. Human intervention will stabilize groundwater storage across the North
China Plain[J] Water Resources Research,2022,58(2):e2021WR030884.
.
[ 7 ] LONG D, YAANG W, SCANLON B R, et al. South-to-north water diversion stabilizing g Beijing’s groundwater
levels[J] Nature Communications,2020,11(1):3665.
.
[ 8 ] GUO B,ZHANG J,MENG X,et al. Long-term spatio-temporal precipitation variations in China with precipitation
.
surface interpolated by ANUSPLIN[J] Scientific Reports,2020,10(1):81.
[ 9 ] ZHANG Y, LIANG C. Analysis of annual and seasonal precipitation variation in the Qinba Mountain area, China
[J] Scientific Reports,2020,10(1):961.
.
[ 10] 任国玉,王涛,郭军,等 . 海河流域近现代降水量变化若干特征[J] 水利水电科技进展,2015,35(5):
.
103-111.
[ 11] LJUNGQVIST F C, PIERMATTEI A, SEIM A, et al. Ranking of tree-ring based hydroclimate reconstructions of
the past millennium[J] Quaternary Science Reviews,2020,230:106074.
.
[ 12] YANG B,WANG J,LIU J. A 1556 year-long early summer moisture reconstruction for the Hexi Corridor,North⁃
.
western China[J] Science China Earth Sciences,2019,62:953-963.
[ 13] YANG B, QIN C, WANG J, et al. A 3,500-year tree-ring record of annual precipitation on the northeastern
.
Tibetan Plateau[J] Proceedings of the National Academy of Sciences,2014,111(8):2903-2908.
[ 14] 王文卓,张建云,陈峰,等 . 黄河源区雨季降水与汛期径流量重建及其千年尺度下的演变特征[J] 水科学进
.
展,2022,33(6):868-880.
[ 15] WUNSCH A,LIESCH T,BRODA S. Deep learning shows declining groundwater levels in Germany until 2100 due
.
to climate change[J] Nature Communications,2022,13(1):1221.
[ 16] JIANG S, ZHENG Y, WANG C, et al. Uncovering flooding mechanisms across the contiguous United States
through interpretive deep learning on representative catchments[J] Water Resources Research, 2022, 58(1):
.
e2021WR030185.
[ 17] KRATZERT F, KLOTZ D, HOCHREITER S, et al. A note on leveraging synergy in multiple meteorological data
sets with deep learning for rainfall-runoff modeling[J] Hydrology and Earth System Sciences, 2021, 25(5):
.
2685-2703.
[ 18] KRATZERT F,KLOTZ D,BRENNER C,et al. Rainfall-runoff modelling using long short-term memory(LSTM)
networks[J] Hydrology and Earth System Sciences,2018,22(11):6005-6022.
.
[ 19] PAN B,HSU K,AGHAKOUCHAK A,et al. Improving precipitation estimation using convolutional neural network
[J] Water Resources Research,2019,55(3):2301-2321.
.
[ 20] FAN C, SONG C, LIU K, et al. Century ⁃scale reconstruction of water storage changes of the largest lake in the
inner mongolia plateau using a machine learning approach[J] Water Resources Research, 2021, 57(2):
.
e2020WR028831.
[ 21] WU H,YANG Q,LIU J,et al. A spatiotemporal deep fusion model for merging satellite and gauge precipitation in
.
China[J] Journal of Hydrology,2020,584:124664.
[ 22] 王庆明,张越,窦鹏,等 . 1985—2020 年京津冀平原水面面积演变特征及归因分析[J] 水利学报,2023,
.
54(4):451-460
[ 23] 马梦阳,赵勇,王庆明,等 . 海河流域不同等级降水对水资源衰减影响研究[J] 中国农村水利水电,2023
.
(7):55-62.
[ 24] 田烨,谭伟丽,王国庆,等 . LSTM 变体模型在径流预测中的性能及其可解释性[J] 水资源保护,2023,39
.
(3):188-194.
[ 25] 王红瑞,林欣,钱龙霞,等 . 基于异方差检验的水文过程隐含周期分析模型及其应用——Ⅱ应用[J] 水利学
.
报,2008,39(12):1296-1301.
[ 26] 王红瑞,林欣,钱龙霞,等 . 基于异方差检验的水文过程隐含周期分析模型及其应用——Ⅰ:模型[J] 水利
.
学报,2008,39(11):1183-1189.
[ 27] 冯胜航,王党伟,秦蕾蕾,等 . 金沙江流域径流变化特征及成因[J] 南水北调与水利科技(中英文), 2023,
.
21(2):248-257.
— 475 —