Tianlong Wang

PhD Student · Zhejiang University

Joint doctoral research training · Nanyang Technological University

tianlong_wang@zju.edu.cn · Academic homepage · Google Scholar · ORCID

Research profile

My strength is developing AI methods for spatiotemporal forecasting of geohazards. I combine physics-informed machine learning (PIML), explainable AI (XAI), optimization and hydrological process knowledge to study debris flows, landslides and catchment response. I welcome interdisciplinary applications across geotechnics, geology, hydrology and machine learning.

Debris-flow susceptibility, source volume and velocity · Runoff and water-stage forecasting · Groundwater and landslide dynamics · Siphon drainage and slope stabilization

Education & research training

Zhejiang University

PhD · Ocean Technology and Engineering · Ocean College

September 2022 – June 2027 (expected) · Supervisor(s): Hongyue Sun

Nanyang Technological University

Joint Doctoral Research Training · School of Civil and Environmental Engineering

September 2024 – September 2026 · Supervisor(s): Chu Jian

Research strengths

Prediction methods

Ensembles, optimization and sparse-data forecasting.

Physics & hydrology

Physical constraints, hydrological memory and catchment storage.

Interpretation & uncertainty

SHAP interpretation, prediction intervals and temporal/spatial evaluation.

Published work

Bold indicates my name; * denotes corresponding author where indicated. Journal articles and conference papers are listed below; current manuscripts are described separately.

  1. DOME: A Dynamic Optimization Meta-Ensemble Framework for Debris-Flow Susceptibility Assessment with SHAP-Based Interpretation

    Tianlong Wang*, H. Yang

    Natural Hazards, 122, Article 545. · 2026

  2. Intelligent Prediction of Post-Seismic Debris Flow Source Volumes: A Physics-Informed Generative Deep Learning Framework

    Tianlong Wang, H. Yang, H. Sun*

    Georisk: Assessment and Management of Risk for Engineered Systems and Geohazards, 1–29. · 2026

  3. Impacts of Land Use Change on Watershed Hydrological Processes Based on the SWAT-ML-SHAP Model: A Case Study of Fenshuijiang River Basin

    K. Zhang, Tianlong Wang, J. Su, H. Sun*

    Earth Science. · 2026

  4. An integrated IKOA-CNN-BiGRU-Attention framework with SHAP explainability for high-precision debris flow hazard prediction in the Nujiang river basin, China

    H. Yang, Tianlong Wang*, N. I. Fomin, S. Xiao, L. Liu

    PLOS ONE, 20(6), e0326587. · 2025

  5. A novel method for predicting debris flow hazard: a multi-strategy fusion approach based on the light gradient boosting machine framework

    Tianlong Wang, Q. Ge, T. Ma, et al.

    Stochastic Environmental Research and Risk Assessment, 39, 4867–4890. · 2025

  6. 3D Numerical Simulation of the Shortest Length of a Blocking Section for a Self-Starting Drainage Method

    X. Wang, Q. Ge, K. Zhang, Tianlong Wang, T. Ma, H. Sun*

    International Journal of Geomechanics, 25(10), 04025209. · 2025

  7. Multi-parameter Calibration Method and Application of Constitutive Model Based on Improved Dung Beetle Optimization Algorithm

    P. Lu, Y. Yu*, S. Liu, Tianlong Wang, Z. Xu

    Journal of Disaster Prevention and Mitigation Engineering, 45(5), 1014–1023. (In Chinese) · 2025

  8. Prediction and explanation of debris flow velocity based on multi-strategy fusion Stacking ensemble learning model

    Tianlong Wang, K. Zhang, Z. Liu, T. Ma, R. Luo, H. Chen, X. Wang, W. Ge, H. Sun*

    Journal of Hydrology, 638, 131347. · 2024

  9. Study and verification on an improved comprehensive prediction model of landslide displacement

    Tianlong Wang, R. Luo, T. Ma, et al.

    Bulletin of Engineering Geology and the Environment, 83, Article 90. · 2024

  10. Indoor Model Test of Negative Pressure Drainage Method for Treatment of Engineering Mud

    Z. Chu, S. Yu, X. Li, X. Lu, X. Wang, R. Luo, Tianlong Wang*

    Journal of Changjiang River Scientific Research Institute, 41(9), 114–122, 129. (In Chinese) · 2024

  11. Study on wavelet multi-scale analysis and prediction of landslide groundwater

    Tianlong Wang, D. Peng, X. Wang, B. Wu, R. Luo, Z. Chu, H. Sun*

    Journal of Hydroinformatics, 26(1), 237–254. · 2024

  12. A new anchor-siphon drainage combined method used for slope stabilization

    H. Sun, X. Wang, Y. Yu*, J. Shu, Tianlong Wang, R. Luo, Z. Chu

    Journal of Mountain Science, 20(11), 3295–3311 · 2023

  13. Experimental Study on Grouting and Flow Characteristics of Rough Vertical Fractures

    Zheng Li, Jie Liu*, Qian Shi, Kun Mao, Zhao Li, Hongyu Tang, Tianlong Wang

    Geofluids, 2022, Article 3165524, 15 pages. · 2022

  14. Experimental Research on Shear Mechanical Characteristics of Pile-Coral Sand Interface

    X. Xu, X. Lei, Tianlong Wang, G. Kong*, C. Li

    Chinese Journal of Underground Space and Engineering, 18(6), 1891–1897. (In Chinese) · 2022

  15. Determining the location of River Dam Group based on set cover Model: A case study of Zambezi River Basin

    Tianlong Wang, Xiaorui Tao, Dong-kun Wu, Haotian Feng

    Scientific Research and Reviews, 14, 122. · 2021

  16. Carbon emission forecast of China Transport Industry Based on Grey - Markov

    Tianlong Wang, J. Wang, X. Shao

    International Conference on Computing and Big Data (ICCBD). · 2021 · Conference paper

  17. Research on Prediction and Optimization of Slope Deformation in Mining Area

    Tianlong Wang, H. Zhang, X. Tao, W. Chu

    Environment, Resource and Ecology Journal, 4, 66–69. · 2020

  18. Optimization of Task Pricing Based on Multiple Regression Analysis and Game Theory

    Tianlong Wang, Hongyan Bao, Hairui Zhang

    Journal of eSciences, 3, 9. · 2020

  19. Predicting Traffic Congestion Time Based on Kalman Filter Algorithm

    Tianlong Wang, Xiaorui Tao, Jiamei Zhang, Yulei Li

    Advances in Research and Reviews, 1, 7. · 2020

Current research

Research in current manuscripts; these entries are not listed as published articles.

Hydrological readiness & catchment storage

Developing Basin Water Storage Degree (BWSD) and readiness forecasts from rainfall, drainage and monitored catchment conditions.

Warning-support research; event-detection skill requires validation on debris-flow events and independent catchments.

Physics-guided runoff & stage forecasting

HydroPIML-RS combines hydrological memory, residual learning and physical consistency constraints for short-lead outlet forecasts.

Prediction with sparse observations

Exploring tabular foundation models for debris-flow volume and hydrology-informed residual learning for landslide velocity, with prediction intervals.

Funding & collaborative projects

Young Elite Scientists Sponsorship Program Doctoral Student Special Plan

China Association for Science and Technology · PI · January 2025 — December 2026

Spatiotemporal Dynamic Forecasting and Interpretive Analysis System for Debris Flows in Small Watersheds. Project ID: 156-O-170-0000603-2 Funding: RMB 40,000.

Seed Fund Cultivation Project of Ocean College

Zhejiang University · PI · June 2025 — June 2027

Research on Intelligent Debris Flow Forecasting Methods for Small Watersheds Based on Multi-scale Hydrodynamic Coupling Mechanisms. Grant No. 2025BS004 Funding: RMB 50,000.

Outstanding Doctoral Dissertation Award Cultivation Grant

Zhejiang University · PI · 2025–2026

Spatiotemporal Dynamic Forecasting and Interpretive Analysis System for Debris Flows in Small Watersheds. Grant No. 825011A · RMB 36,000.

National Construction of High-Level Universities Program

China Scholarship Council · Recipient · September 2024 — September 2026

Research on Early Spatiotemporal Prediction of Debris Flows and Disaster Control in Small Watersheds. Grant No. 202406320358 Support: RMB 300,000.

Key Program

National Natural Science Foundation of China · Core team member · January 2023 — December 2027

Early Forecasting and Disaster Control Methods for Debris Flows in Small Watersheds Based on Hydrodynamic Analysis. Grant No. 42230702 Total project budget: RMB 2,730,000.

Young Scientists Fund

National Natural Science Foundation of China · Core team member · January 2019 — December 2021

Research on Deformation Prediction Models and Instability Criterion Methods for Reservoir Bank Slopes Based on Copula Theory. Grant No. 51809151 Total project budget: RMB 250,000. Completed.

Research software

DOME

Regional debris-flow susceptibility assessment combining dynamic learner selection, metaheuristic optimization, stacked ensembles and SHAP interpretation.

TabPFNv2.5-DebrisFlow

Small-sample debris-flow volume prediction with TabPFN-2.5, sediment-source information, machine-learning comparisons and regional holdout evaluation.

RSRL-HU

One-day-ahead landslide velocity forecasting combining robust motion-state estimation, groundwater forecasts, hydrology-informed residual learning and sequential prediction intervals.

Hydrological Readiness Forecasting

Calibrated probabilities of warning-relevant hydrological states over the next three days in small catchments, with chronological evaluation and optional SHAP attribution.

BWSD

Daily Basin Water Storage Degree calculation and hydrological-state classification from the Fengshuwan catchment water balance.

HydroPIML-RS

Physics-informed residual stacking for short-lead runoff and water-stage forecasting, with prediction replay and documented revision evidence for the Fengshuwan catchment.

Academic service

Journal reviewing

Journal of Hydrology; Acta Geotechnica; Bulletin of Engineering Geology and the Environment; Stochastic Environmental Research and Risk Assessment; Powder Technology; PLOS ONE; Applied Intelligence; Earth Science Informatics; Groundwater for Sustainable Development; International Journal of Computational Intelligence Systems; Journal of Rock Mechanics and Geotechnical Engineering; Air, Soil and Water Research; Discover Geoscience; Earth Sciences; Array; International Journal of Interactive Multimedia and Artificial Intelligence.

Professional memberships

Chinese Society for Rock Mechanics and Engineering; Geological Society of China; China Civil Engineering Society.

Selected recognition & skills

National Scholarship (2025, 2021); China Scholarship Council doctoral mobility support (2024–2026); China Harbour Engineering Company Scholarship (2023).

Python and MATLAB; physics-informed and explainable machine learning; ensemble modelling and optimization; hydrological monitoring and numerical analysis.

Beyond research: poetry, fitness, swimming, reading and photography. Author of Sugenilan (2025); writing Suge Weilai (working title). Poetry website.