Hydrologic modeling: progress and future directions

被引:87
|
作者
Singh, Vijay P. [1 ,2 ]
机构
[1] Texas A&M Univ, Dept Biol & Agr Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA
[2] Texas A&M Univ, Zachry Dept Civil Engn, 321 Scoates Hall,2117 TAMU, College Stn, TX 77843 USA
来源
GEOSCIENCE LETTERS | 2018年 / 5卷
关键词
Hydrologic models; Data processing; Computational tools; Hydrologic advances; Future outlook; HYDRAULIC GEOMETRY RELATIONS; DIFFUSION WAVE APPROXIMATIONS; DIGITAL SURFACE MODEL; KINEMATIC-WAVE; OVERLAND-FLOW; SOIL-EROSION; QUANTITATIVE DESCRIPTION; FREQUENCY-DISTRIBUTION; DEPOSITION PROCESSES; PHYSICAL PRINCIPLES;
D O I
10.1186/s40562-018-0113-z
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Briefly tracing the history of hydrologic modeling, this paper discusses the progress that has been achieved in hydrologic modeling since the advent of computer and what the future may have in store for hydrologic modeling. Hydrologic progress can be described through the developments in data collection and processing, concepts and theories, integration with allied sciences, computational and analysis tools, and models and model results. It is argued that with the aid of new information gathering and computational tools, hydrology will witness greater integration with both technical and non-technical areas and increasing applications of information technology tools. Furthermore, hydrology will play an increasingly important role in meeting grand challenges of the twenty-first century, such as food security, water security, energy security, health security, ecosystem security, and sustainable development.
引用
收藏
页数:18
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