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Shijie Jiang
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Improving AI system awareness of geoscience knowledge: Symbiotic integration of physical approaches and deep learning
S Jiang, Y Zheng, D Solomatine
Geophysical Research Letters 47 (13), e2020GL088229, 2020
1262020
Uncovering flooding mechanisms across the contiguous United States through interpretive deep learning on representative catchments
S Jiang, Y Zheng, C Wang, V Babovic
Water Resources Research 58 (1), e2021WR030185, 2022
782022
Advancing opportunistic sensing in hydrology: A novel approach to measuring rainfall with ordinary surveillance cameras
S Jiang, V Babovic, Y Zheng, J Xiong
Water Resources Research 55 (4), 3004-3027, 2019
542019
Joint operation of surface water and groundwater reservoirs to address water conflicts in arid regions: an integrated modeling study
Y Tian, J Xiong, X He, X Pi, S Jiang, F Han, Y Zheng
Water 10 (8), 1105, 2018
362018
A computer vision-based approach to fusing spatiotemporal data for hydrological modeling
S Jiang, Y Zheng, V Babovic, Y Tian, F Han
Journal of hydrology 567, 25-40, 2018
332018
Toward improved lumped groundwater level predictions at catchment scale: Mutual integration of water balance mechanism and deep learning method
H Cai, S Liu, H Shi, Z Zhou, S Jiang, V Babovic
Journal of Hydrology 613, 128495, 2022
292022
River flooding mechanisms and their changes in Europe revealed by explainable machine learning
S Jiang, E Bevacqua, J Zscheischler
Hydrology and Earth System Sciences 26, 6339–6359, 2022
252022
Predicting dynamic riverine nitrogen export in unmonitored watersheds: leveraging insights of AI from data-rich regions
R Xiong, Y Zheng, N Chen, Q Tian, W Liu, F Han, S Jiang, M Lu, Y Zheng
Environmental Science & Technology 56 (14), 10530-10542, 2022
192022
Water-environmental risk assessment of the Beijing–Tianjin–Hebei collaborative development region in China
S Leng, Y Zhai, S Jiang, Y Lei, J Wang
Human and Ecological Risk Assessment: An International Journal 23 (1), 141-171, 2017
102017
Warming and greening exacerbate the propagation risk from meteorological to soil moisture drought
Y Li, S Huang, H Wang, Q Huang, P Li, X Zheng, Z Wang, S Jiang, G Leng, ...
Journal of Hydrology 622, 129716, 2023
92023
A HIVE model for regional integrated environmental risk assessment: A case study in China
S Jiang, Y Zhai, S Leng, J Wang, Y Teng
Human and Ecological Risk Assessment: An International Journal 22 (4), 1002-1028, 2016
92016
Regional integrated environmental risk assessment in collaborative development of Beijing-Tianjin-Hebei
SY Leng, SJ Jiang, J Pan, JS Wang, YZ Zhao
Journal of Beijing Normal University (Natural Science) 53 (1), 60-69, 2017
62017
Interpreting Conv-LSTM for spatio-temporal soil moisture prediction in China
F Huang, Y Zhang, Y Zhang, W Shangguan, Q Li, L Li, S Jiang
Agriculture 13 (5), 971, 2023
42023
Securing drinking water supply in smart cities: an early warning system based on online sensor network and machine learning
H Lu, A Ding, Y Zheng, J Jiang, J Zhang, Z Zhang, P Xu, X Zhao, F Quan, ...
AQUA—Water Infrastructure, Ecosystems and Society 72 (5), 721-738, 2023
32023
Compounding effects in flood drivers challenge estimates of extreme river floods
S Jiang, L Tarasova, G Yu, J Zscheischler
Science Advances 10 (13), eadl4005, 2024
2*2024
Identifying drivers of river floods using causal inference
P Miersch, S Jiang, O Rakovec, J Zscheischler
EGU General Assembly Conference Abstracts, EGU-12948, 2023
22023
Determination of the volume of soil requiring remediation in contaminated sites based on conditional simulation
SJ Jiang, JS Wang, YZ Zhai, Z Yin, Y Teng
Acta Scientiae Circumstantiae 36 (7), 2596-2604, 2016
12016
Thirty years (1984–2014) of groundwater science teaching and research in China: A dissertation-based bibliometric survey
Y ZHAI, S JIANG, Y TENG, J WANG, H GU, L XIE, Z YIN
Journal of Groundwater Science and Engineering Vol 3 (3), 2015
12015
Distributed hydrological modeling with physics‐encoded deep learning: A general framework and its application in the Amazon
C Wang, S Jiang, Y Zheng, F Han, R Kumar, O Rakovec, S Li
Water Resources Research 60 (4), e2023WR036170, 2024
2024
Identifying potential drivers of land-atmosphere coupling variation under climate change by explainable artificial intelligence
F Huang, W Shangguan, S Jiang
EGU24, 2024
2024
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Articles 1–20