Emerging trends about uncertainty in hydrologic modeling and water
resources management: A bibliometrics analysis
- Congcong Li
, - Bowen Li,
- Yanpeng Cai,
- Zhong Li,
- Ronghua Xu,
- Yi Zhang
Abstract
Water resources management is a challenging task caused by huge
uncertainties and complexities in hydrological processes and human
activities. Over the last three decades, various scholars have carried
out the study on hydrological simulation under complex conditions, and
quantitatively characterize the associated uncertainties for water
resources systems. To keep abreast of the development of collective
knowledge in this field, a scientometric review and metasynthesis of the
existing uncertainty analysis research for supporting hydrological
modeling and water resources management is conducted. A total of 2,020
publications from 1991 to 2018 were acquired from Web of Science. The
scientific structure, cooperation, and frontiers of the related domain
were explored by the science mapping software of CiteSpace. Through
co-citation, collaboration, and co-occurrence network study, the results
present the leading contributors among all countries and hotspots in the
research domain. Besides, synthetical uncertainty management for
hydrological models and water resource systems under climatic and land
use change will continue to be focused on.