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Qianqian  Zhou
Qianqian Zhou
Verified email at gdut.edu.cn
Title
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Cited by
Year
A review of sustainable urban drainage systems considering the climate change and urbanization impacts
Q Zhou
Water 6 (4), 976-992, 2014
5982014
Framework for economic pluvial flood risk assessment considering climate change effects and adaptation benefits
Q Zhou, PS Mikkelsen, K Halsnæs, K Arnbjerg-Nielsen
Journal of Hydrology 414, 539-549, 2012
4412012
Comparison of urbanization and climate change impacts on urban flood volumes: Importance of urban planning and drainage adaptation
Q Zhou, G Leng, J Su, Y Ren
Science of the Total Environment 658, 24-33, 2019
4032019
Comparing methods of calculating expected annual damage in urban pluvial flood risk assessments
AS Olsen, Q Zhou, JJ Linde, K Arnbjerg-Nielsen
Water 7 (1), 255-270, 2015
1632015
Adaption to extreme rainfall with open urban drainage system: An integrated hydrological cost-benefit analysis
Q Zhou, TE Panduro, BJ Thorsen, K Arnbjerg-Nielsen
Environmental management 51, 586-601, 2013
1372013
Impacts of future climate change on urban flood volumes in Hohhot in northern China: benefits of climate change mitigation and adaptations
Q Zhou, G Leng, M Huang
Hydrology and Earth System Sciences 22 (1), 305-316, 2018
1102018
Predictability of state-level flood damage in the conterminous United States: The role of hazard, exposure and vulnerability
Q Zhou, G Leng, L Feng
Scientific reports 7 (1), 5354, 2017
562017
Automatic sewer defect detection and severity quantification based on pixel-level semantic segmentation
Q Zhou, Z Situ, S Teng, H Liu, W Chen, G Chen
Tunnelling and Underground Space Technology 123, 104403, 2022
462022
Verification of flood damage modelling using insurance data
Q Zhou, TE Panduro, BJ Thorsen, K Arnbjerg-Nielsen
Water science and technology 68 (2), 425-432, 2013
452013
A GIS-based hydrological modeling approach for rapid urban flood hazard assessment
Q Zhou, J Su, K Arnbjerg-Nielsen, Y Ren, J Luo, Z Ye, J Feng
Water 13 (11), 1483, 2021
302021
Convolutional neural networks–based model for automated sewer defects detection and classification
Q Zhou, Z Situ, S Teng, G Chen
Journal of Water Resources Planning and Management 147 (7), 04021036, 2021
292021
Automated sewer defects detection using style-based generative adversarial networks and fine-tuned well-known CNN classifier
Z Situ, S Teng, H Liu, J Luo, Q Zhou
IEEE Access 9, 59498-59507, 2021
282021
Adaptation to urbanization impacts on drainage in the city of Hohhot, China
Q Zhou, Y Ren, M Xu, N Han, H Wang
Water Science and Technology 73 (1), 167-175, 2016
272016
Real-time sewer defect detection based on YOLO network, transfer learning, and channel pruning algorithm
Z Situ, S Teng, X Liao, G Chen, Q Zhou
Journal of Civil Structural Health Monitoring 14 (1), 41-57, 2024
242024
Comparison of multiobjective optimization methods applied to urban drainage adaptation problems
Q Wang, Q Zhou, X Lei, DA Savić
Journal of Water Resources Planning and Management 144 (11), 04018070, 2018
242018
A deep-learning-technique-based data-driven model for accurate and rapid flood predictions in temporal and spatial dimensions
Q Zhou, S Teng, Z Situ, X Liao, J Feng, G Chen, J Zhang, Z Lu
Hydrology and Earth System Sciences 27 (9), 1791-1808, 2023
232023
Recent changes in the occurrences and damages of floods and droughts in the United States
Q Zhou, G Leng, J Peng
Water 10 (9), 1109, 2018
232018
Economic assessment of climate adaptation options for urban drainage design in Odense, Denmark
Q Zhou, K Halsnæs, K Arnbjerg-Nielsen
Water Science and Technology 66 (8), 1812-1820, 2012
232012
Optimising the combination strategies for pipe and infiltration‐based low impact development measures using a multiobjective evolution approach
Q Zhou, Z Lai, A Blohm
Journal of Flood Risk Management 12 (2), e12457, 2019
222019
A transfer learning-based YOLO network for sewer defect detection in comparison to classic object detection methods
Z Situ, S Teng, W Feng, Q Zhong, G Chen, J Su, Q Zhou
Developments in the Built Environment 15, 100191, 2023
212023
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Articles 1–20