Watershed System Model: The Essentials to Model Complex Human‐Nature System at the River Basin Scale

作者：Xin Li, Guodong Cheng, Hui Lin, Ximing Cai, Miao Fang, Yingchun Ge, Xiaoli Hu, Min Chen, Weiyue Li · 发表于：Journal of Geophysical Research Atmospheres · 年份：2018 · DOI：10.1002/2017jd028154 · 被引用次数：112 · 研究领域：Hydrology and Watershed Management Studies、Flood Risk Assessment and Management、Hydrological Forecasting Using AI

Abstract Watershed system models are urgently needed to understand complex watershed systems and to support integrated river basin management. Early watershed modeling efforts focused on the representation of hydrologic processes, while the next‐generation watershed models should represent the coevolution of the water‐land‐air‐plant‐human nexus in a watershed and provide capability of decision‐making support. We propose a new modeling framework and discuss the know‐how approach to incorporate emerging knowledge into integrated models through data exchange interfaces. We argue that the modeling environment is a useful tool to enable effective model integration, as well as create domain‐specific models of river basin systems. The grand challenges in developing next‐generation watershed system models include but are not limited to providing an overarching framework for linking natural and social sciences, building a scientifically based decision support system, quantifying and controlling uncertainties, and taking advantage of new technologies and new findings in the various disciplines of watershed science. The eventual goal is to build transdisciplinary, scientifically sound, and scale‐explicit watershed system models that are to be codesigned by multidisciplinary communities.