1993.09 - 1997.07 學士學位，山東工業大學，土木工程

1997.09 - 1999.07 讀研，山東工業大學，土木工程，因出國退學

1999.09 - 2004.07 博士學位，佩斯裡大學（英國）, 環境工程

供水管網領域：

管網水質保障理論與技術

管網漏損控制原理與技術

供水管網優化設計與管理

可持續性城市水管理:

韌性城市水系統

水-能源關系

城市水信息學

發表中英文論文150餘篇，近5年論文如下：

英文期刊 

2021

1. Ma, Z, Liu, S^*, Guo, G, Yu, X. Hybrid attention networks for flow and pressure forecasting in water distribution systems. Ieee Geoscience and Remote Sensing Letters, 2022, 19.

2. Liu, Y, Liang, Y, Ouyang, K, Liu, S, Rosenblum, D S, Zheng, Y. Predicting urban water quality with ubiquitous data-a data-driven approach. IEEE Transactions on Big Data, 2022, 8(2): 564-578.

3. Wang, Q, Guan, M, Huang, W, Wang, L, Wang, Z, Liu, S, Savic, D. Visualisation of the combinatorial effects within evolutionary algorithms: The compass plot. Journal of Hydroinformatics, 2021, 23(3): 517-528.

4. Smith, K, Liu, S^*. Methodology for evaluating city-level energy footprint for water distribution systems. Journal of Cleaner Production, 2021, 288.

5. Liu, D, Cabrera, J, Zhong, L, Wang, W, Duan, D, Wang, X, Liu, S, Xie, Y F. Using loose nanofiltration membrane for lake water treatment: A pilot study. Frontiers of Environmental Science & Engineering, 2021, 15(4).

6. Guo, G, Yu, X, Liu, S^*, Ma, Z, Wu, Y, Xu, X, Wang, X, Smith, K, Wu, X. Leakage detection in water distribution systems based on time-frequency convolutional neural network. Journal of Water Resources Planning and Management, 2021, 147(2).

7. Guo, G, Liu, S^*, Jia, D, Wang, S, Wu, X. Simulation of a leak's growth process in water distribution systems based on growth functions. Aqua-Water Infrastructure Ecosystems and Society, 2021, 70(4): 521-536.

8. Beygi, S, Tabesh, M, Liu, S, Safarpour, H. Effects of considering social costs in different economic scenarios of water systems in iran. International Journal of Environmental Research, 2021, 15(5): 785-796.

2020

1. Zhang, X, Huang, J, Lin, L, Liu, S, Wang, Y, Zhang, S. A typical case study of the operational performance of municipal wastewater treatment plant in china. Asia-Pacific Journal of Chemical Engineering, 2020.

2. Zhan, X, Meng, F, Liu, S^*, Fu, G. Comparing performance indicators for assessing and building resilient water distribution systems. Journal of Water Resources Planning and Management, 2020, 146(12).

3. Xu, X, Liu, S^*, Smith, K, Cui, Y, Wang, Z. An overview on corrosion of iron and steel components in reclaimed water supply systems and the mechanisms involved. Journal of Cleaner Production, 2020, 276.

4. Xu, X, Liu, S^*, Liu, Y, Smith, K, Wang, X, Li, J, Ma, Z, Wang, Z, Cui, Y. Water quality induced corrosion of stainless steel valves during long-term service in a reverse osmosis system. Journal of Environmental Sciences, 2020, 89: 218-226.

5. Xiong, Y, Zhang, J, Xu, X, Yan, Y, Sun, S, Liu, S. Strategies for improving the microclimate and thermal comfort of a classical chinese garden in the hot-summer and cold-winter zone. Energy and Buildings, 2020, 215.

6. Wu, Y, Liu, S^*. Burst detection by analyzing shape similarity of time series subsequences in district metering areas. Journal of Water Resources Planning and Management, 2020, 146(1).

7. Wang, X, Guo, G, Liu, S^*, Wu, Y, Xu, X, Smith, K. Burst detection in district metering areas using deep learning method. Journal of Water Resources Planning and Management, 2020, 146(6).

8. Lu, Z, Sun, W, Li, C, Cao, W, Jing, Z, Li, S, Ao, X, Chen, C, Liu, S. Effect of granular activated carbon pore-size distribution on biological activated carbon filter performance. Water Research, 2020, 177.

9. Li, S, Ao, X, Li, C, Lu, Z, Cao, W, Wu, F, Liu, S, Sun, W. Insight into ppcp degradation by uv/nh2cl and comparison with uv/naclo: Kinetics, reaction mechanism, and dbp formation. Water research, 2020, 182: 115967-115967.

10. Guo, G, Yu, X, Liu, S^*, Xu, X, Ma, Z, Wang, X, Huang, Y, Smith, K. Novel leakage detection and localization method based on line spectrum pair and cubic interpolation search. Water Resources Management, 2020, 34(12): 3895-3911.

11. Dao, G, Wang, S, Wang, X, Chen, Z, Wu, Y, Wu, G, Lu, Y, Liu, S, Hu, H. Enhanced scenedesmus sp. Growth in response to gibberellin secretion by symbiotic bacteria. Science of the Total Environment, 2020, 740.

2019

1. Zhang, Y, Gao, X, Smith, K, Inial, G, Liu, S, Conil, L B, Pan, B. Integrating water quality and operation into prediction of water production in drinking water treatment plants by genetic algorithm enhanced artificial neural network. Water Research, 2019, 164.

2. Zhang, Q, Liu, S, Wang, T, Dai, X, Baninla, Y, Nakatani, J, Moriguchi, Y. Urbanization impacts on greenhouse gas (ghg) emissions of the water infrastructure in china: Trade-offs among sustainable development goals (sdgs). Journal of Cleaner Production, 2019, 232: 474-486.

3. Xu, X, Pliego, G, Alonso, C, Liu, S, Nozal, L, Rodriguez, J J. Reaction pathways of heat-activated persulfate oxidation of naphthenic acids in the presence and absence of dissolved oxygen in water. Chemical Engineering Journal, 2019, 370: 695-705.

4. Xu, X, Liu, Y, Liu, S^*, Li, J, Guo, G, Smith, K. Real-time detection of potable-reclaimed water pipe cross-connection events by conventional water quality sensors using machine learning methods. Journal of Environmental Management, 2019, 238: 201-209.

5. Xu, X, Liu, S^*, Sun, S, Zhang, W, Liu, Y, Lao, Z, Guo, G, Smith, K, Cui, Y, Liu, W, Garcia, E H, Zhu, J. Evaluation of energy saving potential of an urban green space and its water bodies. Energy And Buildings, 2019, 188: 58-70.

6. Xu, X, Liu, S^*, Smith, K, Wang, Y, Hu, H. Light-driven breakdown of 1,4-dioxane for potable reuse: A review. Chemical Engineering Journal, 2019, 373: 508-518.

7. Xu, X, Liu, S^*, Liu, Y, Smith, K, Cui, Y. Corrosion of stainless steel valves in a reverse osmosis system: Analysis of corrosion products and metal loss. Engineering Failure Analysis, 2019, 105: 40-51.

8. Xu, X, Liu, S^*, Cui, Y, Wang, X, Smith, K, Wang, Y. Solar-driven removal of 1,4-dioxane using WO₃/n-Al₂O₃ nano-catalyst in water. Catalysts, 2019, 9(4).

9. Wang, Y, Wu, Y, Du, Y, Li, Q, Cong, Y, Huo, Z, Chen, Z, Yang, H, Liu, S, Hu, H. Quantifying chlorine-reactive substances to establish a chlorine decay model of reclaimed water using chemical chlorine demands. Chemical Engineering Journal, 2019, 356: 791-798.

10. Wang, Q, Wang, L, Huang, W, Wang, Z, Liu, S^*, Savic, D A. Parameterization of NSGA-II for the optimal design of water distribution systems. WATER, 2019, 11(5).

11. Wang, Q, Huang, W, Wang, L, Zhan, Y, Wang, Z, Wang, X, Zhan, X, Liu, S^*. How are various surrogate indicators consistent with mechanical reliability of water distribution systems: From a perspective of many-objective optimization. Water, 2019, 11(8).

12. Smith, K, Guo, S, Zhu, Q, Dong, X, Liu, S^*. An evaluation of the environmental benefit and energy footprint of china's stricter wastewater standards: Can benefit be increased? Journal of Cleaner Production, 2019, 219: 723-733.

13. Beygi, S, Tabesh, M, Liu, S. Multi-objective optimization model for design and operation of water transmission systems using a power resilience index for assessing hydraulic reliability. Water Resources Management, 2019, 33(10): 3433-3447.

2018

1. Smith, K., Liu, S.^*, Liu, Y. Can China reduce energy for water? A review of energy for urban water supply and wastewater treatment and suggestions for change, Renewable & Sustainable Energy Reviews, 2018, 91: 41-58.

2. Wu, Y., Liu, S.^* Distance-based burst detection using multiple pressure sensors in district metering areas, Journal of Water Resources Planning and Management, 2018, 144(11).

3. Guo, G., Liu, S.^*, Wu, Y. Short-term water demand forecast based on deep learning method, Journal of Water Resources Planning and Management, 2018, 144(12).

4. Smith, K., Liu, Y., Wang, T., Liu, S.^*, Liu Y.^* City layout: A key to reducing energy use for water supply, Resources Conservation and Recycling, 2018, 138: 229-230.

5. Smith, K., Liu, S.^*, Hu, H., Dong, X., Wen X. Water and energy recovery: the future of wastewater in China, Science of the Total Environment, 637-638, 2018, 1466-1470.

6. Clercq, D., Smith, K., Chou, B., Gonzalez, A., Kothapalle, R., Li, C., Dong, X., Liu, S., Wen, Z. Identification of urban drinking water supply patterns across 627 cities in China based on supervised and unsupervised statistical learning, Journal of Environmental Management, 2018, 223: 658-667.

7. Xu, X^*, Pliego, G., Zazo, J.A., Liu, S., Casas, J.A., Rodriguez, J.J. Two-step persulfate and Fenton oxidation of naphthenic acids in water, Journal of Chemical Technology & Biotechnology, 2018, 93: 2262-2270.

8. Chen, Z., Yu, T., Ngo, H.H., Lu, Y., Li, G., Wu, Q., Li, K., Bai, Y., Liu, S., Hu, H. Assimilable organic carbon (AOC) variation in reclaimed water: Insight on biological stability evaluation and control for sustainable water reuse. Bioresource technology, 2018, 254: 290-299.

9. Wu, Y., Liu S.^*, Smith, K, Wang, X. Using correlation between data from multiple monitoring sensors to detect bursts in water distribution systems, Journal of Water Resources Planning and Management, 2018, 144(2).

10. Xu, X.^*, Pliego, G., Garcia-Costa, A.L., Zazo, J.A., Liu, S., Casas, J.A., Rodriguez, J.J. Cyclohexanoic acid breakdown by two-step persulfate and heterogeneous Fenton-like oxidation, Applied Catalysis B-Environmental, 2018, 232: 429-435.

2017

1. Wang T^*, Liu S, Qian X, Shimizu T, Dente S, Hashimoto S, Nakajima J. Assessment of the municipal water cycle in China, Science of the Total Environment, 2017, 607: 761-770.

2. Smith, K., Liu S.^* Energy for Conventional Water Supply and Wastewater Treatment in Urban China: A Review, Global Challenges, 2017,1: (5, SI).

3. Wu, Y., Liu S.^* A review of data-driven approaches for burst detection in water distribution systems, Urban Water Journal, 2017, 14(9), 972-983.

4. Smith, K., Liu S.^*, Liu, Y., Liu, Y., Wu, Y. Reducing energy use for water supply to China's high-rises, Energy and Buildings, 2017, 135, 119-127.

5. Smith, K., Li, Z., Chen, B., Liang, H., Zhang, X., Xu, R., Li, Z., Dai, H., Wei, C., Liu, S.^* Comparison of sand-based water filters for point-of-use arsenic removal in China, Chemosphere, 2017, 168, 155-162.

中文期刊

2021

1. 吳以朋, 劉書明, 趙樂軍. 供水管網計量區水量數據的特征分析. 給水排水, 2021, 57(05): 116-121+127.

2. 李若楠, 王琦, 劉書明. 基于典型相關系數和随機森林的水質預警方法. 中國環境科學, 2021, 41(09): 4457-4464.

3. 徐熙焱, 劉書明, 吳雪. 球墨鑄鐵水表内腐蝕層特征及其金屬釋放特性研究. 給水排水, 2021, 57(S1): 441-446.

4. 劉書明. 飲用水管網輸配過程中顆粒物與微量污染物的複合污染效應及其水質風險. 環境工程學報, 2021, 15(01): 1-2.

5. 郭冠呈, 劉書明, 于喜鵬, 等. 不平衡樣本下基于高斯混合生成模型的洩漏檢測方法. 給水排水, 2021, 57(02): 145-150.

2020

1. 張娟, 牛豫海, 張自力, 劉書明, 張強, 張士民, 劉堪平. 超濾膜短流程工藝處理南水北調原水的運行效能. 中國給水排水, 2020, 36(23): 37-41.

2. 詹栩怡, 劉書明, 于喜鵬, 肖磊, 吳雪. 供水管網韌性評估方法研究. 給水排水, 2020, 56(06): 141-145.

3. 吳雪, 肖磊, 孟凡琳, 李俊禹, 劉書明. 常州市供水管網餘氯分布規律研究. 給水排水, 2020, 56(08): 121-125.

4. 吳雪, 肖磊, 劉書明, 王興雙, 陳春芳, 蔣瑜. 常州市小區内餘氯降解規律研究. 給水排水, 2020, 56(10): 98-103.

5. 蘇炯恒, 王琦, 王禮炳, 黃穩, 王志紅, 劉書明. 考慮成本-彈性-水質的供水管網多目标協同設計方法. 中國給水排水, 2020, 36(21): 58-65.

2019

1. 劉瑩, 劉書明, 徐熙焱, 李若楠, 任宏剛. 再生水與自來水管道錯接事故探測方法. 給水排水, 2019, 55(01): 127-132.

2. 代煥芳, 劉書明, 吳雪. 供水管網背景漏失指數研究. 中國給水排水, 2019, 35(11): 59-62.

3. 陳卓, 胡洪營, 吳光學, 吳乾元, 劉書明, 文湘華. ISO《城鎮集中式水回用系統設計指南》國際标準解讀. 給水排水, 2019, 55(03): 139-144.

2018

1. 陳卓, 吳乾元, 杜烨, 孫豔, 陸韻, 楊宏偉, 劉書明, 胡洪營. 世界衛生組織《再生水飲用回用:安全飲用水生産指南》解讀. 給水排水, 2018, 54(06): 7-12.

2. 郭冠呈, 劉書明, 李俊禹, 周韌, 朱曉耘. 基于雙向長短時神經網絡的水量預測方法研究. 給水排水, 2018, 54(03): 123-126.

2017

1. 劉書明, 吳以朋, 王曉婷, 劉友飛, 李佳傑. 應用聚類算法識别供水管網爆管事故.bevictor伟德官网學報(自然科學版), 2017, 57(10): 1096-1101.

2. 劉書明, 吳以朋, 車晗. 利用自識别的供水管網監測數據質量控制. bevictor伟德官网學報(自然科學版), 2017, 57(09): 999-1003.

3. 劉瑩, 于影, 石寶友, 劉書明, 吳雪. 供水管網鐵釋放的影響因素相對重要性分析. 環境科學, 2017, 38(12): 5090-5096.

4. 餘康華, 崔勇, 張子潇, 裴超迎, 劉書明. 水泥砂漿内襯管輸配高品質再生水水質變化規律. 中國給水排水, 2017, 33(13): 50-55.

5. 劉書明, 李婷婷, 王曉婷, 吳雪. 自适應遺傳算法在給水管網優化中的應用. 給水排水, 2017, 53(04): 107-110.

書籍著作

1. 《Reducing Energy for Urban Water and Wastewater: Prospects for China》，Kate Smith, Shuming Liu， IWA Publishing, 2019.

2. 《水表與供水計量》，國際水協中國漏損控制專家委員會，中國建築工業出版社，2018.10.

3. 《供水管理與漏損控制》，國際水協中國漏損控制專家委員會，中國建築工業出版社，2017.9.

4. 《給水管網系統》，劉書明，王榮合，吳雪，高等教育出版社，2014.1.