Karunarathna et al. (2026) Technology for hydro-ecology and big data for smart water management

Identification

• Journal: Elsevier eBooks
• Year: 2026
• Date: 2026-01-01
• Authors: R.M. Dinesh Madhushanka Karunarathna, Zhenghua Hu, Angelee Robin Mehta, Nikita Mishra, Megha Paul, Ritesh Ranjan, Bongfan Fannyuy Benoir, Mohammed Ali Yaseen, Gopal Dubey, Varsha Singh, Amit Kumar, Sadashiv Chaturvedi
• DOI: 10.1016/b978-0-443-36394-8.00001-7

Research Groups

• School of Ecology and Applied Meteorology, Nanjing University of Information Science and Technology, Nanjing, P.R. China
• University School for Advanced Studies (IUSS), Pavia, Italy
• Wetlands International South Asia, New Delhi, India
• Institute of Environment & Sustainable Development (IESD), Banaras Hindu University (BHU), Varanasi, Uttar Pradesh, India
• Indian Institute of Technology (Indian School of Mines), Dhanbad, Jharkhand, India
• Collaborative Key Laboratory of Meteorological Disaster, Ministry of Education (KLME), Joint International Research Laboratory of Climate and Environmental of Meteorological Disasters (CIC-FEMD), Nanjing University of Information Science and Technology, Nanjing, P.R. China
• School of Electronics & Information Engineering, Nanjing University of Information Science and Technology, Nanjing, P.R. China
• Department of Civil Engineering, Indian Institute of Technology (IIT – BHU), Varanasi, Uttar Pradesh, India
• Department of Physics, Faculty of Science, Technology, and Architecture (FOSTA), Manipal University, Jaipur, Rajasthan, India
• Environmental Sciences, Department of Botany, Banaras Hindu University (BHU), Varanasi, Uttar Pradesh, India
• School of Hydrology and Water Resources, Nanjing University of Information Science and Technology, Nanjing, P.R. China
• Department of Civil, Building and Environmental Engineering (DICEA) of the University of Napoli Federico II, Napoli, Italy

Short Summary

This introductory chapter highlights the escalating pressures on freshwater resources due to human demand and environmental change, emphasizing the critical, often overlooked, interdependence between water management and ecosystem health within the hydro-ecology domain. It sets the stage for exploring technological and big data solutions for smart water management.

Objective

• To introduce the complex challenges at the water-ecosystem-society nexus, driven by increasing human demand and profound environmental change, and to underscore the vital role of hydro-ecology in sustainable water resource management.

Study Configuration

• Spatial Scale: Global (discussing global population growth, climate change impacts, and water resource pressures worldwide).
• Temporal Scale: 21st century (focusing on current and future challenges, "unprecedented pressures in the 21st century").

Methodology and Data

• Models used: The provided text is an introductory chapter and does not detail specific models used in a research study.
• Data sources: The provided text is an introductory chapter and does not detail specific data sources used in a research study.

Main Results

• The provided text is an introductory chapter and does not present specific research results; it outlines the context and challenges related to water resources and hydro-ecology.

Contributions

• This introductory chapter frames the critical global challenges in water resource management, emphasizing the underappreciated role of hydro-ecology and setting the stage for discussions on technology and big data solutions for smart water management.

Funding

• Not specified in the provided introductory text.

Citation

@article{Karunarathna2026Technology,
  author = {Karunarathna, R.M. Dinesh Madhushanka and Hu, Zhenghua and Mehta, Angelee Robin and Mishra, Nikita and Paul, Megha and Ranjan, Ritesh and Benoir, Bongfan Fannyuy and Yaseen, Mohammed Ali and Dubey, Gopal and Singh, Varsha and Kumar, Amit and Chaturvedi, Sadashiv},
  title = {Technology for hydro-ecology and big data for smart water management},
  journal = {Elsevier eBooks},
  year = {2026},
  doi = {10.1016/b978-0-443-36394-8.00001-7},
  url = {https://doi.org/10.1016/b978-0-443-36394-8.00001-7}
}