Convergence of mechanistic modeling and artificial intelligence in hydrologic science and engineering

R Muñoz-Carpena, A Carmona-Cabrero, Z Yu… - PLOS …, 2023 - journals.plos.org
Hydrology is a mature physical science based on application of first principles. However, the
water system is complex and its study requires analysis of increasingly large data available …

Combining knowledge graph with deep adversarial network for water quality prediction

J Yan, Q Gao, Y Yu, L Chen, Z Xu, J Chen - Environmental Science and …, 2023 - Springer
Water quality prediction is an important research focus in smart water and can provide the
support to control and reduce water pollution. However, existing water quality prediction …

Toward establishing a knowledge graph for drought disaster based on ontology design and named entity recognition

Y Fang, D Zhang, G Wu - Journal of Hydroinformatics, 2023 - iwaponline.com
Drought disasters have caused serious impacts on the social economy and ecological
environment, which are continuously and increasingly exacerbated by climate warming and …

[HTML][HTML] The Water Health Open Knowledge Graph

AS Lippolis, G Lodi, AG Nuzzolese - Scientific Data, 2025 - nature.com
Global sustainability challenges have recently led to an increasing interest in the
management of water and health resources. Thus, the availability of effective, meaningful …

[PDF][PDF] A Method for Constructing an Urban Waterlogging Emergency Knowledge Graph Based on Spatiotemporal Processes

W Mao, J Shen, Q Su, S Liu, S Pirasteh… - … International Journal of …, 2024 - researchgate.net
Urban waterlogging is one of the major “diseases” faced by cities, posing a great challenge
to the healthy and sustainable development of cities. The traditional geographic knowledge …

Review and perspective of Earth science knowledge graph in Big Data Era

N Fenggui, Z Bei, C Shi - Acta Seismologica Sinica, 2024 - dzxb.org
Earth Science is a discipline that heavily relies on data, yet it is not fully harnessing the
advantages of Earth data with existing technological means though covers many subject …

Research on a Knowledge Graph Embedding Method Based on Improved Convolutional Neural Networks for Hydraulic Engineering

Y Liu, J Tian, X Liu, T Tao, Z Ren, X Wang, Y Wang - Electronics, 2023 - mdpi.com
In response to the shortcomings of existing knowledge graph embedding strategies, such as
weak feature interaction and latent knowledge representation, a unique hydraulic …

Multi-timescale feature extraction method of wastewater treatment process based on adaptive entropy

H Han, Y Zhao, X Wu, H Yang - Chinese Journal of Chemical Engineering, 2024 - Elsevier
In wastewater treatment systems, extracting meaningful features from process data is
essential for effective monitoring and control. However, the multi-time scale data generated …

Intelligent generation method of emergency plan for hydraulic engineering based on knowledge graph–take the South-to-North Water Diversion Project as an …

X Liu, H Lu, H Li - LHB, 2022 - Taylor & Francis
There are some problems with the traditional emergency plans of hydraulic engineering,
such as low digitisation, poor knowledge relevance, insufficient intelligent decision-making …

The development of a water resource monitoring ontology as a research tool for sustainable regional development

A Ospan, M Mansurova, V Barakhnin, A Nugumanova… - Data, 2023 - mdpi.com
The development of knowledge graphs about water resources as a tool for studying the
sustainable development of a region is currently an urgent task, because the growing …