一、基本情况

王墨，博士、博士后，副教授，硕士研究生导师，建筑与城市规划学院副院长、广州大学党外知识分子联谊会副秘书长。入选广州市高层次人才青年后备人才、2024年度全球前2%顶尖科学家，自然资源部高层次科技创新人才（国土空间规划行业）科技创新团队成员。兼任广东省国土空间规划专家库专家、广东省科技咨询专家、广州市科技咨询专家。担任《景观设计学》执行编委、《广东园林》青年编委、《Humanities & Social Sciences Communications》编委、《Journal of Chinese Architecture and Urbanism》编委；兼任广州市勘察设计协会市政分会副会长、风景园林分会副会长，中国风景园林学会教育工作委员会委员、应对气候变化工作委员会委员，广东园林学会园林教育信息专业委员会副主任委员、园林规划设计专业委员会委员。

二、学术背景及工作经历

2021年1月-目前，广州大学，副教授；

2022年5月-2025年12月，广州大学基建处，副处长；

2018年8月-2020年10月，东南大学，博士后；

2017年8月-2020年12月，广州大学，讲师；

2015年7月-2016年8月，新加坡南洋理工大学，助研；

2014年9月-2017年6月，福建农林大学，攻读博士。；

三、研究方向

韧性城市、绿色基础设施、生成式城市设计。

四、担任课程

本科课程：风景园林规划与设计原理、园林规划设计、生态修复原理、低影响开发；  

研究生课程：风景园林规划设计、生态修复设计。

五、科研项目

2026.03-2029.06，气候变化背景下广东沿海居民迁移意向与驱动机制研究，广东省哲学社会科学规划一般项目（GD26CSH12），主持；

2025.01-2027.12，基于蓝绿灰耦合的城市水文基础设施韧性增强机制与调控路径，广东省自然科学基金面上项目（2025A1515012916），主持；

2024.01-2025.12，响应局地气候风险的城市形态生成与空间配置解决方案，广州市市校（院）企联合资助项目（2024A03J0317），主持；

2023.01-2025.12，基于气候适应性的城市灰绿基础设施韧性增强及动态规划，广东省自然科学基金青年提升项目（2023A1515030158），主持；

2022.04-2024.03，基于长期风险适应性的城市灰绿基础设施韧性增强机制研究，广州市科技计划项目基础研究计划（202201010431），主持；

2022.01-2022.12，耦合灰绿基础设施的韧性增强路径研究，广州大学-香港科技大学联合研究合作基金，主持；

2019.10-2022.09，基于贝叶斯分类算法的城市绿色基础设施空间优化，广东省自然科学基金面上项目（2019A1515010873），主持；

2019.01-2021.12，基于未来情景模拟的城市景观水文弹性措施绩效评估与优化研究，国家自然科学基金青年项目（51808137），主持；

2018.08-2020.09，中国博士后科学基金第12批特别资助（2019T120377），主持；

2018.08-2020.07，中国博士后科学基金第65批面上资助（2019M651654），主持；

2024.01-2028.12,风险扰动的虚实融合动态演绎模型，国家自然科学基金重大项目（62394334），参与；

2019.01-2024.12,低影响开发下的城市绿地规划理论与方法，国家自然科学基金重点项目（51838003），参与。

六、学术论文

[1]Yuan, H., Wang, Y., Zhou, S., Qiu, W., Wang, M., Wu, C., & Wu, Z. (2026). PC-GAN: A deep learning framework for automated urban morphology design with spatial constraints to improve heat resilience. Landscape and Urban Planning, 271, 105623.

[2]Zhou, S., Xu, X., Jia, W., Wu, T., Yuan, H., Wang, Y., ... & Wu, Z. (2026). Towards Scenario-conditioned Urban Renewal Using a Progressive CP-GAN Framework under Heat–Carbon–Wind Scenarios. Sustainable Cities and Society, 107323.

[3]Xiong, Z., Wang, M., Zhao, J., Yuan, H., Sun, C., Zhou, S., ... & Qi, J. (2026). Generative urban climate modeling using coupled GAN–UWG frameworks: Morphological strategies for transformation and adaptive heat mitigation. Urban Climate, 65, 102786.

[4]Peng, Y., Zhuang, J. A., Adnan, R. M., & Wang, M. (2026). Local Climate Zone-Conditioned Generative Modelling of Urban Morphology for Climate-Aware and Water-Relevant Planning in Coastal Megacities. Water, 18(3), 312.

[5]Zhang, M., Zhong, Y., Tan, L., Shi, H., Liu, J., Jiang, Y., & Wang, M. (2026). Mapping the attractiveness of globally important agricultural heritages to digital nomads: a stakeholder-driven, multi-criteria evaluation framework. npj Heritage Science, 14(1), 21.

[6]Wang, M., Zhuang, J. A., Zhao, J., Sun, C., Li, J., Zhou, L., ... & Qi, J. (2025). A cross-city transferable convolutional neural network framework for assessing street-scale flood risks in urban networks. Journal of Environmental Management, 395, 127977.

[7]Wang, M., Xiong, Z., Zhou, S., Zhao, J., Sun, C., Wang, Y., ... & Tan, S. K. (2025). Integrating generative AI and climate modeling for urban heat Island mitigation. Ecological Informatics, 90, 103284.

[8]Zhu, Y., Han, G., Zhuang, J. A., & Wang, M. (2025). Authenticity and place attachment as dual pathways for sustainable tourism in the historic Quanzhou West Street, China. Scientific Reports.

[9]Huang, Y., Zhao, J., Adnan, R. M., & Wang, M. (2025). SWOT-Based Evaluation of Nature-Based Solutions for Stormwater Resilience in Historic Urban Landscapes. Water, 17(21), 3084.

[10]Wang, M., Liu, H., Zhang, M., & Adnan, R. M. (2025). Advancing Nature-Based Solutions with Artificial Intelligence: A Bibliometric and Semantic Analysis Using ChatGPT. Atmosphere, 16(9), 1102.

[11]Zhou, S., Geng, X., Jia, W., Xu, H., Xu, X., Chen, H., ... & Wu, Z. (2025). Towards climate-adaptive equality in coastal megacities: Assessing urban flooding risk disparities and nonlinear effect of multidimensional indicators through an interpretable LightGBM-SHAP framework. Sustainable Cities and Society, 106809.

[12]Zhou, S., Jia, W., Geng, X., Xu, H., Diao, H., Liu, Z., ... & Wu, Z. (2025). Quantifying the spatiotemporal dynamics of urban flooding susceptibility in the greater bay area under shared socio-economic pathways using the SD-PLUS-LightGBM framework. Resources, Conservation and Recycling, 223, 108534.

[13]Liu, Y., Xiong, Z., Wang, M., Zhang, M., Adnan, R. M., Fu, W., ... & Tan, S. K. (2025). Decentralized Coupled Grey–Green Infrastructure for Resilient and Cost-Effective Stormwater Management in a Historic Chinese District. Water, 17(15), 2325.

[14]Liu, M., Wang, Z., Wang, M., Li, X., Zhang, Y., Yang, B., & Lai, C. (2025). A framework for optimization and assessment of long-term urban stormwater management scenarios under climate change and performance challenges. Journal of Environmental Management, 390, 126298.

[15]Wang, X., Hu, Q., Zhang, R., Sun, C., & Wang, M. (2025). Ecosystem Services in Urban Blue-Green Infrastructure: A Bibliometric Review. Water, 17(15), 2273.

[16]Ikram, R. M. A., Wang, M., Moayedi, H., Ahmadi Dehrashid, A., Gharibi, S., & Han, J. C. (2025). Application of smart technologies for predicting soil erosion patterns. Scientific Reports, 15(1), 26479.

[17]Wang, M., Zhao, J., Zhang, D., Xiong, Z., Sun, C., Zhang, M., & Fan, C. (2025). Assessing urban vitality in high-density cities: A spatial accessibility approach using POI reviews and residential data. Humanities and Social Sciences Communications, 12(1), 1-13.

[18]Zou, B., Fan, C., Li, J., Wang, M., Liao, Y., & Zhou, X. (2025). Assessing the impact of land use changes on urban heat risk under different development scenarios: A case study of Guangzhou in China. Sustainable Cities and Society, 130, 106532.

[19]Liu, Y., Zhao, J., Ikram, R. M. A., Tan, S. K., & Wang, M. (2025). Strategic Planning for Nature-Based Solutions in Heritage Cities: Enhancing Urban Water Sustainability. Water, 17(14), 2110.

[20]Ikram, R. M. A., Wang, M., Moayedi, H., & Dehrashid, A. A. (2025). Management and prediction of river flood utilizing optimization approach of artificial intelligence evolutionary algorithms. Scientific Reports, 15(1), 22787.

[21]Wang, M., Zhao, J., Xiong, Z., Zhang, M., Wang, L., & Tan, S. K. (2025). Strategic deployment of nature-based solutions for urban flood management in high-density urban landscapes. Ecological Indicators, 176, 113681.

[22]Zhao, J., Chen, Y., Ikram, R. M. A., Xu, H., Tan, S. K., & Wang, M. (2025). A Coupled Coordination and Network-Based Framework for Optimizing Green Stormwater Infrastructure Deployment: A Case Study in the Guangdong–Hong Kong–Macao Greater Bay Area. Applied Sciences, 15(13), 7271.

[23]Xiao, X., Zhuang, J. A., Wang, M., & Wang, L. (2025). A symbiosis theory-based strategic framework for rural landscape assessment: a case study utilizing AHP and system dynamics. Frontiers in Environmental Science, 13, 1613364.

[24]Zhang, Y., Yin, H., Zhang, D., Kong, F., Xu, J., Wang, M., & Yuan, H. (2025). Enhancing resilience of green-grey infrastructure by integrating two redundancy strategies into a multi-objective optimization and service period assessment framework. Sustainable Cities and Society, 128, 106474.

[25]Wang, L., Zhuang, J. A., Wang, M., & Adnan, R. M. (2025). Comprehensive assessment of spatial quality in traditional village landscapes of the Yuanshui River Basin using semantic differential and Entropy Weight Methods. Frontiers in Environmental Science, 13, 1552489.

[26]Fu, X., Wang, M., Zhang, D., Chen, F., Peng, X., Wang, L., & Tan, S. K. (2025). An XGBoost-SHAP framework for identifying key drivers of urban flooding and developing targeted mitigation strategies. Ecological Indicators, 175, 113579.

[27]Zhou, S., Xu, X., Xu, H., Zhao, Z., Yuan, H., Wang, Y., ... & Wu, Z. (2025). From heat resilience to sustainable co-benefits: Adaptive urban morphology generation based on multimodal data fusion and a novel generative framework. Sustainable Cities and Society, 127, 106452.

[28]Zhou, S., Jia, W., Diao, H., Geng, X., Wu, Y., Wang, M., ... & Wu, Z. (2025). A CycleGAN-Pix2pix framework for multi-objective 3D urban morphology optimization: enhancing thermal performance in high-density areas. Sustainable Cities and Society, 126, 106400.

[29]Wang, X., Zhang, R., Hu, Q., Sun, C., Ikram, R. M. A., Wang, M., & Cheng, G. (2025). Assessment of the Hydrological Performance of Grass Swales for Urban Stormwater Management: A Bibliometric Review from 2000 to 2023. Water, 17(10), 1425.

[30]Khan, I. U., Iqbal, M., Ali, Z., Arshed, A. B., Wang, M., & Adnan, R. M. (2025). Evaluation and mapping of snow characteristics using remote sensing data in Astore River Basin, Pakistan. Atmosphere, 16(5), 550.

[31]Shi, H., Zhang, L., Ma, D., Zhang, M., Wang, M., & Wei, Z. (2025). Exploring recreational walking and its correlated built environment factors in river corridor space through a trajectory sematic-based approach. Urban Forestry & Urban Greening, 107, 128767.

[32]Zhou, S., Diao, H., Wang, J., Jia, W., Xu, H., Xu, X., ... & Wu, Z. (2025). Multi-stage optimization framework for synergetic grey-green infrastructure in response to long-term climate variability based on shared socio-economic pathways. Water Research, 274, 123091.

[33]Wang, L., Zhuang, J. A., & Wang, M. (2025). Integrating AHP-SBE for Evaluating Visitor Satisfaction in Traditional Village Tourism Landscapes. Sustainability, 17(7), 3119.

[34]Wang, M., Xiong, Z., Zhao, J., Zhou, S., & Wang, Q. (2025). Pix2Pix-Based Modelling of Urban Morphogenesis and Its Linkage to Local Climate Zones and Urban Heat Islands in Chinese Megacities. Land, 14(4), 755.

[35]Wang, L., Zhao, J., Xiong, Z., Zhuang, J. A., & Wang, M. (2025). Integrating Grey–Green Infrastructure in Urban Stormwater Management: A Multi–Objective Optimization Framework for Enhanced Resilience and Cost Efficiency. Applied Sciences, 15(7), 3852.

[36]Adnan, R. M., Ewees, A. A., Wang, M., Kisi, O., Heddam, S., Parmar, K. S., & Zounemat-Kermani, M. (2025). Enhancing BOD5 forecasting accuracy with the ANN-enhanced runge kutta model. Journal of Environmental Chemical Engineering, 13(2), 115430.

[37]Adnan, R. M., Mostafa, R. R., Wang, M., Parmar, K. S., Kisi, O., & Zounemat-Kermani, M. (2025). Improved random vector functional link network with an enhanced remora optimization algorithm for predicting monthly streamflow. Journal of Hydrology, 650, 132496.

[38]Yang, M., Zhuang, J. A., & Wang, M. (2025). Leveraging Recurrent Neural Networks for Lithology Identification and Chinese Rural Landscape Planning in Sustainable Design. Sustainability, 17(7), 3078.

[39]Liu, M., Lai, C., Zhang, Y., Chen, B., & Wang, M. (2025). Multi-objective optimisation of integrated grey-green infrastructure in response to climate change from a life cycle perspective. Journal of Cleaner Production, 498, 145162.

[40]Wang, M., Xiong, Z., Zhao, J., Zhou, S., Wang, Y., Ikram, R. M. A., ... & Tan, S. K. (2025). Generative adversarial networks for climate-sensitive urban morphology: An integration of pix2pix and the cycle generative adversarial network. Land, 14(3), 578.

[41]Zou, B., Fan, C., Wang, M., Li, J., Zhou, X., & Liao, Y. (2025). How do urban-rural and regional summer heat exposures evolve? A case study of 301 cities in China from 2000 to 2020. Building and Environment, 271, 112584.

[42]Alizamir, M., Wang, M., Ikram, R. M. A., Gholampour, A., Ahmed, K. O., Heddam, S., & Kim, S. (2025). An interpretable XGBoost-SHAP machine learning model for reliable prediction of mechanical properties in waste foundry sand-based eco-friendly concrete. Results in Engineering, 25, 104307.

[43]Wang, M., Zhao, J., Su, J., Ikram, R. M. A., & Yang, M. (2025). Navigating Flooding Challenges in Historical Urban Contexts: Integrating Nature-Based Solutions with Spatial Multi-Criteria Assessments in Quanzhou. Land, 14(3), 452.

[44]Wang, M., Xu, H., Zhao, J., Sun, C., Liu, Y., & Li, J. (2025). The Carbon Sequestration Potential of Skyscraper Greenery: A Bibliometric Review (2003–2023). Sustainability, 17(5), 1774.

[45]Jiao, R., Zhou, Z., Wang, M., & Dong, L. (2025). Biochar-based solutions for urban artificial landscape water bodies: Mitigating eutrophication and enhancing visual aesthetics. Water, 17(2), 175.

[46]Adnan, R., Wang, M., Masood, A., Kisi, O., Shahid, S., & Zounemat-Kermani, M. (2025). Applications of advanced optimized neuro fuzzy models for enhancing daily suspended sediment load prediction. Computer Modeling in Engineering & Sciences, 143(1), 1249.

[47]Alizamir, M., Wang, M., Adnan Ikram, R. M., Kim, S., Ahmed, K. O., & Heddam, S. (2024). Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: Application of SHAP analysis. Engineering Applications of Computational Fluid Mechanics, 18(1), 2422060.

[48]Ikram, R. M. A., Wang, M., Moayedi, H., Gholizadeh, M. H., Dehrashid, A. A., & Thi, Q. T. (2024). Developed strategies of artificial intelligence in the prediction flow river flood using evolutionary optimized algorithms of ANN. Environment, Development and Sustainability, 1-36.

[49]Zhou, S., Zhang, D., Wang, M., Liu, Z., Gan, W., Zhao, Z., ... & Wu, Z. (2024). Risk-driven composition decoupling analysis for urban flooding prediction in high-density urban areas using Bayesian-Optimized LightGBM. Journal of Cleaner Production, 457, 142286.

[50]Alizamir, M., Wang, M., Ikram, R. M. A., Ahmed, K. O., Heddam, S., & Kim, S. (2024). An efficient computational investigation on accurate daily soil temperature prediction using boosting ensemble methods explanation based on SHAP importance analysis. Results in Engineering, 24, 103220.

[51]Wang, M., Zhong, X., Yuan, H., Zhang, D., Cheng, L., & Zhang, J. (2024). Integrating carbon and water footprint into nature-based solution (NBS) for urban planning in a highly built-up area in Guangzhou, China. Science of The Total Environment, 951, 175505.

[52]Wang, L., Sun, C., Wang, M., & Xiao, X. (2024). Construction and characterization of traditional village landscape cultural genome atlases: A case study in Xupu County, Hunan, China. Sustainability, 16(21), 9524.

[53]Wang, M., Fan, H., Yuan, H., Zhang, D., Su, J., Zhou, S., ... & Li, J. (2024). Urban flooding damage prediction in matrix scenarios of extreme rainfall using a convolutional neural network. Journal of Hydrology, 644, 132069.

[54]Wang, X., Zhu, B., Chen, Z., Ma, D., Sun, C., Wang, M., & Jiang, X. (2024). Landscape perception in cultural and creative industrial parks: Integrating user-generated content (ugc) and electrodermal activity insights. Sustainability, 16(21), 9228.

[55]Wang, M., Zhuang, J. A., Sun, C., Wang, L., Zhang, M., Fan, C., & Li, J. (2024). The application of rain gardens in urban environments: A bibliometric review. Land, 13(10), 1702.

[56]Zhou, S., Jia, W., Liu, Z., & Wang, M. (2024). Prediction and Machine Learning Analysis of Urban Waterlogging Risks in High-Density Areas From the Perspective of the Built Environment: A Case Study of Shenzhen, China. Landscape Architecture Frontiers, 12(5), 48-60.

[57]Sun, C., Rao, Q., Xiong, Z., Liu, M., Liu, Y., Fan, C., ... & Zhang, D. (2024). Optimized resilience coupled with cost-effectiveness for grey and green infrastructure: A case study in a historical and cultural area, Guangzhou, China. Ecological Indicators, 167, 112684.

[58]Zhou, S., Jia, W., Wang, M., Liu, Z., Wang, Y., & Wu, Z. (2024). Synergistic assessment of multi-scenario urban waterlogging through data-driven decoupling analysis in high-density urban areas: A case study in Shenzhen, China. Journal of Environmental Management, 369, 122330.

[59]Yuan, H., Wang, M., Zhang, D., Ikram, R. M. A., Su, J., Zhou, S., ... & Zhang, Q. (2024). Data-driven urban configuration optimization: An XGBoost-based approach for mitigating flood susceptibility and enhancing economic contribution. Ecological Indicators, 166, 112247.

[60]Zou, B., Nie, Y., Liu, R., Wang, M., Li, J., Fan, C., & Zhou, X. (2024). Assessing the impact of urban morphologies on waterlogging risk using a spatial weight naive bayes model and local climate zones classification. Water, 16(17), 2464.

[61]Wang, L., Sun, C., & Wang, M. (2024). Optimization strategies for waterfront plant landscapes in traditional villages: A scenic beauty estimation–entropy weighting method analysis. Sustainability, 16(16), 7140.

[62]Qiao, R., Gao, S., Liu, X., Xia, L., Zhang, G., Meng, X., ... & Wu, Z. (2024). Understanding the global subnational migration patterns driven by hydrological intrusion exposure. Nature Communications, 15(1), 6285.

[63]Lifeng, L., Wenai, L., Mo, W., Shuangjiao, C., Fuqin, L., Xiaoling, X., ... & Weiguo, J. (2024). Analysis of mangrove distribution and suitable habitat in Beihai, China, using optimized MaxEnt modeling: improving mangrove restoration efficiency. Frontiers in Forests and Global Change, 7, 1293366.

[64]Zhou, S., Zhang, D., Wang, M., Liu, Z., Gan, W., Zhao, Z., ... & Wu, Z. (2024). Risk-driven composition decoupling analysis for urban flooding prediction in high-density urban areas using Bayesian-Optimized LightGBM. Journal of Cleaner Production, 457, 142286.

[65]Su, J., Wang, M., Zhang, D., Sun, C., Zhao, X., & Razi, M. A. B. M. (2024). A systematic and bibliometric review of bioretention system (BRS) for urban ecosystem regulation services. Urban Clim. 55, 101923.

[66]Su, J., Wang, M., Zhang, D., Yuan, H., Zhou, S., Wang, Y., & Razi, M. A. M. (2024). Integrating technical and societal strategies in Nature-based Solutions for urban flood mitigation in Guangzhou, a heritage city. Ecological Indicators, 162, 112030.

[67]Zhou, S., Diao, H., Wang, M., Jia, W., Wang, Y., Liu, Z., ... & Zhao, Z. (2024). Knowledge mapping and emerging trends of urban resilient infrastructure research in urban studies: Precedent work, current progress and future perspectives. Journal of Cleaner Production, 452, 142087.

[68]Sun, C., Rao, Q., Chen, B., Liu, X., Adnan Ikram, R. M., Li, J., ... & Zhang, D. (2024). Mechanisms and applications of nature-based solutions for stormwater control in the context of climate change: A review. Atmosphere, 15(4), 403.

[69]Wang, M., Chen, Z., Zhang, D., Liu, M., Yuan, H., Chen, B., ... & Tan, S. K. (2024). Changes in concurrent meteorological extremes of rainfall and heat under divergent climatic trajectories in the Guangdong–Hong Kong–Macao Greater Bay Area. Sustainability, 16(5), 2153.

[70]Fan, C., Zou, B., Li, J., Wang, M., Liao, Y., & Zhou, X. (2024). Exploring the relationship between air temperature and urban morphology factors using machine learning under local climate zones. Case Studies in Thermal Engineering, 55, 104151.

[71]Sun, C., Rao, Q., Wang, M., Liu, Y., Xiong, Z., Zhao, J., ... & Zhang, M. (2024). Multi-stage optimization of drainage systems for integrated grey–green infrastructure under backward planning. Water, 16(13), 1825.

[72]Zhao, J., Rao, Q., Sun, C., Ikram, R. M. A., Fan, C., Li, J., ... & Zhang, D. (2024). A systematic review of the vertical green system for balancing ecology and urbanity. Water, 16(11), 1472.

[73]Yuan, H., Wang, M., Li, J., Zhang, D., Ikram, R. M. A., Su, J., ... & Zhang, Q. (2024). Matrix scenario-based urban flooding damage prediction via convolutional neural network. Journal of Environmental Management, 349, 119470.

[74]Razi, M. A. M., Rahmat, S. N., Jamal, M. H., Baharuddin, M. F. T., Wang, M., & Husin, T. M. (2023). Evaluation of Mangroves Effectiveness in Strengthening Coastal Bund Using Geophysical Method (Non-Destructive Testing) at Tanjong Laboh, Batu Pahat, Johor. International Journal of Integrated Engineering, 15(6), 160-167.

[75]Wang, M., Jiang, Z., Ikram, R. M. A., Sun, C., Zhang, M., & Li, J. (2023). Global paradigm shifts in urban stormwater management optimization: A bibliometric analysis. Water, 15(23), 4122.

[76]Wang, M., Li, Y., Yuan, H., Zhou, S., Wang, Y., Ikram, R. M. A., & Li, J. (2023). An XGBoost-SHAP approach to quantifying morphological impact on urban flooding susceptibility. Ecological Indicators, 156, 111137.

[77]Wang, M., Chen, B., Zhang, D., Yuan, H., Rao, Q., Zhou, S., Li, J., Wang, W., & Tan, S. K. (2023c). Comparative life cycle assessment and life cycle cost analysis of centralized and decentralized urban drainage systems: A case study in Zhujiang New Town, Guangzhou, China. Journal of Cleaner Production, 426, 139173.

[78]Zhao, Z., Wu, Z., Zhou, S., Dong, W., Gan, W., Zou, Y., & Wang, M. (2023). Resident effect perception in urban spaces to inform urban design strategies. Land, 12(10), 1908.

[79]Zhou, S., Wang, Y., Jia, W., Wang, M., Wu, Y., Qiao, R., & Wu, Z. (2023). Automatic responsive-generation of 3D urban morphology coupled with local climate zones using generative adversarial network. Building and Environment, 245, 110855.

[80]Chen, T., Wang, M., Su, J., Ikram, R. M. A., & Li, J. (2023). Application of Internet of Things (IoT) technologies in green stormwater infrastructure (GSI): A bibliometric review. Sustainability, 15(18), 13317.

[81]Wang, M., Feng, S., Ikram, R. M. A., Chen, T., Sun, C., Chen, B., Rao, Q., Jin, H., & Li, J. (2023). Assessing the performance and challenges of low-impact development under climate change: A bibliometric review. Sustainability, 15(18), 13616.

[82]Zeng, L., Liu, C., Wang, M., Zhou, C., Xie, G., & Wu, B. (2023). Delineating the dichotomy and synergistic dynamics of environmental determinants on temporally responsive park vitality. Sustainability, 15(17), 12907.

[83]Wang, M., Fu, X., Zhang, D., Lou, S., Li, J., Chen, F., Li, S., & Tan, S. K. (2023e). Urban agglomeration waterlogging hazard exposure assessment based on an integrated Naive Bayes classifier and complex network analysis. Natural Hazards, 118(3), 2173–2197.

[84]Wang, M., Chen, F., Zhang, D., Chen, Z., Su, J., Zhou, S., Li, J., Chen, J., Li, J., & Tan, S. K. (2023). Data-driven approach to spatiotemporal dynamic risk assessment of urban flooding based on shared socio-economic pathways. Ecological Indicators, 154, 110764.

[85]Wang, M., Sun, C., & Zhang, D. (2023). Opportunities and challenges in green stormwater infrastructure (GSI): A comprehensive and bibliometric review of ecosystem services from 2000 to 2021. Environmental Research, 116701.

[86]Wang, M., Zhong, X., Sun, C., Chen, T., Su, J., & Li, J. (2023). Comprehensive performance of green infrastructure through a life-cycle perspective: A review. Sustainability, 15(14), 10857.

[87]Chen, T., Wang, M., Su, J., & Li, J. (2023). Unlocking the positive impact of bio-swales on hydrology, water quality, and biodiversity: A bibliometric review. Sustainability, 15(10), 8141.

[88]Su, J., Wang, M., Razi, M. A. M., Dom, N. M., Sulaiman, N., & Tan, L.-W. (2023). A bibliometric review of nature-based solutions on urban stormwater management. Sustainability, 15(9), 7281.

[89]Wang, M., Fu, X., Zhang, D., Chen, F., Liu, M., Zhou, S., Su, J., & Tan, S. K. (2023). Assessing urban flooding risk in response to climate change and urbanization based on shared socio-economic pathways. Science of the Total Environment, 880, 163470.

[90]Wang, M., Fu, X., Zhang, D., Chen, F., Su, J., Zhou, S., Li, J., Zhong, Y., & Tan, S. K. (2023). Urban flooding risk assessment in the rural-urban fringe based on a Bayesian classifier. Sustainability, 15(7), 5740.

[91]Wang, M., Yuan, H., Zhang, D., Qi, J., Rao, Q., Li, J., & Tan, S. K. (2023). Supply-demand measurement and spatial allocation of sponge facilities for sponge city construction. Ecological Indicators, 148, 110141.

[92]Wang, M., Liu, M., Zhang, D., Qi, J., Fu, W., Zhang, Y., Rao, Q., Bakhshipour, A., & Tan, S. K. (2023). Assessing and optimizing the hydrological performance of grey-green infrastructure systems in response to climate change and non-stationary time series. Water Research, 119720.

[93]Wang, M., Liu, M., Zhang, D., Zhang, Y., Su, J., Zhou, S., Bakhshipour, A., & Tan, S. K. (2023). Assessing hydrological performance for optimized integrated grey-green infrastructure in response to climate change based on shared socio-economic pathways. Sustainable Cities and Society, 104436.

[94]Wu, Z., Zhao, Z., Gan, W., Zhou, S., Dong, W., & Wang, M. (2023). Achieving carbon neutrality through urban planning and design. International Journal of Environmental Research and Public Health, 20(3), 2420.

[95]Wu, Z., Wang, Y., Gan, W., Zou, Y., Dong, W., Zhou, S., & Wang, M. (2023). A survey of the landscape visibility analysis tools and technical improvements. International Journal of Environmental Research and Public Health, 20(3), 1788.

[96]Zhang, D., Li, J., Li, X., Wang, M., Zhong, Y., Chen, G., Xiao, H., & Zhang, Y. (2023). Phytoremediation of fluoroalkylethers (ether-PFASs): A review on bioaccumulation and ecotoxicological effects. Science of the Total Environment, 161260.

[97]Wang, M., Jiang, Z., Zhang, D., Zhang, Y., Liu, M., Rao, Q., Li, J., & Tan, S. K. (2023). Optimization of integrating life cycle cost and systematic resilience for grey-green stormwater infrastructure. Sustainable Cities and Society, 90, 104379.

[98]Zhang, Y., Wang, M., Zhang, D., Lu, Z., Bakhshipour, A. E., Liu, M., Jiang, Z., Li, J., & Tan, S. K. (2023). Multi-stage planning of LID-GREI urban drainage systems in response to land-use changes. Science of the Total Environment, 859, 160214.

[99]Wang, M., Chen, F., Zhang, D., Rao, Q., Li, J., & Tan, S. K. (2022). Supply-demand evaluation of green stormwater infrastructure (GSI) based on the model of coupling coordination. International Journal of Environmental Research and Public Health, 19(22), 14742.

[100]Zhou, S., Liu, Z., Wang, M., Gan, W., Zhao, Z., & Wu, Z. (2022). Impacts of building configurations on urban stormwater management at a block scale using XGBoost. Sustainable Cities and Society, 87, 104235.

[101]Hou, Q., Cheng, Y., Yuan, Y., & Wang, M. (2022). Assessing hydrological cost-effectiveness of stormwater multi-level control strategies in mountain park under the concept of sponge city. Water, 14(10), 1524.

[102]Wang, M., Zhang, Y., Bakhshipour, A. E., Liu, M., Rao, Q., & Lu, Z. (2022). Designing coupled LID–GREI urban drainage systems: Resilience assessment and decision-making framework. Science of the Total Environment, 834, 155267.

[103]Wang, M., Zhang, Y., Zhang, D., Zheng, Y., Zhou, S., & Tan, S. K. (2021). A Bayesian decision model for optimum investment and design of low-impact development in urban stormwater infrastructure and management. Frontiers in Environmental Science, 9, 713831.

[104]Zhang, D., Li, X., Wang, M., & Xie, W. (2021). Occurrence and distribution of poly- and perfluoroalkyl substances (PFASs) in a surface flow constructed wetland. Ecological Engineering, 169, 106291.

[105]Wang, M., Zhang, Y., Zhang, D., Zheng, Y., Li, S., & Tan, S. K. (2021). Life-cycle cost analysis and resilience consideration for coupled grey infrastructure and low-impact development practices. Sustainable Cities and Society, 75, 103358.

[106]Wang, M., Zhang, D., Wang, Z., Zhou, S., & Tan, S. K. (2021). Long-term performance of bioretention systems in storm runoff management under climate change and life-cycle condition. Sustainable Cities and Society, 65, 102598.

[107]Wang, Z., Zhou, S., Wang, M., & Zhang, D. (2020). Cost-benefit analysis of low-impact development at hectare scale for urban stormwater source control in response to anticipated climatic change. Journal of Environmental Management, 264, 110483.

[108]Niu, X., Zhang, D., Zhang, R., Song, Q., Li, Y., & Wang, M. (2020). Physiological and biochemical responses of Microcystis aeruginosa to phosphine (PH3) under elevated CO2. Journal of Environmental Sciences, 94, 171–178.

[109]Zhang, D. Q., Wang, M., He, Q., Niu, X., & Liang, Y. (2020). Distribution of perfluoroalkyl substances (PFASs) in aquatic plant-based systems: From soil adsorption and plant uptake to effects on microbial community. Environmental Pollution, 257, 113575.

[110]Lou, S., Chen, W., Li, D. H., Wang, M., Chen, H., Lun, I. Y., & Xia, D. (2019). Tilted photovoltaic energy outputs in outdoor environments. Sustainability, 11(21), 6052.

[111]Zhang, D., He, Q., Wang, M., Zhang, W., & Liang, Y. (2021). Sorption of perfluoroalkylated substances (PFASs) onto granular activated carbon and biochar. Environmental Technology, 42(12), 1798–1809.

[112]Wang, M., Zhang, D., Cheng, Y., & Tan, S. K. (2019). Assessing performance of porous pavements and bioretention cells for stormwater management in response to probable climatic changes. Journal of Environmental Management, 243, 157–167.

[113]Wang, M., Zhang, D., Lou, S., Hou, Q., Liu, Y., Cheng, Y., ... Tan, S. K. (2019). Assessing hydrological effects of bioretention cells for urban stormwater runoff in response to climatic changes. Water, 11(5), 997.

[114]Qi, J. D., He, B. J., Wang, M., Zhu, J., & Fu, W. C. (2019). Do grey infrastructures always elevate urban temperature? No, utilizing grey infrastructures to mitigate urban heat island effects. Sustainable Cities and Society, 46, 101392.

[115]Fu, W., Chen, Z., Zhu, Z., Liu, Q., Van den Bosch, C. C. K., Qi, J., Wang, M., & Dong, J. (2018). Spatial and temporal variations of six criteria air pollutants in Fujian Province, China. International Journal of Environmental Research and Public Health, 15(12), 2846.

[116]Wang, M., Zhang, D., Li, Y., Hou, Q., Yu, Y., Qi, J., ... Cheng, Y. (2018). Effect of a submerged zone and carbon source on nutrient and metal removal for stormwater by bioretention cells. Water, 10(11), 1629.

[117]Fu, W., Liu, Q., Konijnendijk van den Bosch, C., Chen, Z., Zhu, Z., Qi, J., Wang, M., & Dong, J. (2018). Long-term atmospheric visibility trends and their relations to socioeconomic factors in Xiamen city, China. International Journal of Environmental Research and Public Health, 15(10), 2239.

[118]Wang, M., Zhang, D. Q., Su, J., Dong, J. W., & Tan, S. K. (2018). Assessing hydrological effects and performance of low impact development practices based on future scenarios modeling. Journal of Cleaner Production, 179, 12–23.

[119]Wang, M., Zhang, D., Dong, J., & Tan, S. K. (2018). Application of constructed wetlands for treating agricultural runoff and agro-industrial wastewater: A review. Hydrobiologia, 805, 1–31.

[120]Wang, M., Zhang, D. Q., Adhityan, A., Ng, W. J., Dong, J. W., & Tan, S. K. (2018). Conventional and holistic urban stormwater management in coastal cities: A case study of the practice in Hong Kong and Singapore. International Journal of Water Resources Development, 34(2), 192–212.

[121]Qiao, J., Wang, M., Zhang, D., Ding, C., Wang, J., & Xu, D. (2017). Synergetic development assessment of urban river system landscapes. Sustainability, 9(12), 2145.

[122]Li, Y. C., Zhang, D. Q., & Wang, M. (2017). Performance evaluation of a full-scale constructed wetland for treating stormwater runoff. CLEAN–Soil, Air, Water, 45(11), 1600740.

[123]Wang, M., Zhang, D. Q., Su, J., Trzcinski, A. P., Dong, J. W., & Tan, S. K. (2017). Future scenarios modeling of urban stormwater management response to impacts of climate change and urbanization. CLEAN–Soil, Air, Water, 45(10), 1700111.

[124]Wang, M., Zhang, D. Q., Dong, J. W., & Tan, S. K. (2017). Constructed wetlands for wastewater treatment in cold climate: A review. Journal of Environmental Sciences, 57, 293–311.

[125]Wang, M., Zhang, D., Adhityan, A., Ng, W. J., Dong, J., & Tan, S. K. (2016). Assessing cost-effectiveness of bioretention on stormwater in response to climate change and urbanization for future scenarios. Journal of Hydrology, 543, 423–432.

七、学术著作

成玉宁，袁旸洋，李奕成，王墨，侯庆贺，樊益扬，王雪原，谈方琪. 公园城市导向下的海绵城市规划设计与实践[M].中国城市出版社, 2024；

张冬青, 王墨, 谢文玉, 牛晓君. 人工湿地在污水处理和雨水管理中的应用[M].华南理工大学出版社, 2021。

八、主要获奖

2024.09，基于长期风险适应性的城市灰绿基础设施韧性增强机制研究, 2024年广东风景园林科技进步奖，二等奖, 排名第一；

2023.12，南京汤山矿坑公园，第十二届罗莎芭芭拉国际景观奖；

2023.12，基于贝叶斯分类算法的城市绿色基础设施空间优化, 2023年广东风景园林科技进步奖，二等奖, 排名第一；

2022.12，基于未来情景模拟的城市景观水文弹性措施绩效评估与优化研究, 2022年广东风景园林科技进步奖，三等奖, 排名第一。

九、联系邮箱

saupwangmo@gzhu.edu.cn