Introduction toSWAT+, A Completely Restructured Version of the Soil and Water Assessment Tool

水土评价工具 SWAT模型 水流 计算机科学 环境科学 流程布线 布线(电子设计自动化) 灵活性(工程) 水资源 分水岭 地表径流 水文学(农业) 环境资源管理 地理 工程类 生态学 地图学 机器学习 流域 统计 岩土工程 生物 数学 计算机网络
作者
Katrin Bieger,Jeffrey G. Arnold,Hendrik Rathjens,Michael J. White,David D. Bosch,Peter M. Allen,Martin Völk,Raghavan Srinivasan
出处
期刊:Journal of The American Water Resources Association [Wiley]
卷期号:53 (1): 115-130 被引量:554
标识
DOI:10.1111/1752-1688.12482
摘要

Abstract SWAT + is a completely restructured version of the Soil and Water Assessment Tool ( SWAT ) that was developed to face present and future challenges in water resources modeling and management and to meet the needs of the worldwide user community. It is expected to improve code development and maintenance; support data availability, analysis, and visualization; and enhance the model's capabilities in terms of the spatial representation of elements and processes within watersheds. The most important change is the implementation of landscape units and flow and pollutant routing across the landscape. Also, SWAT + offers more flexibility than SWAT in defining management schedules, routing constituents, and connecting managed flow systems to the natural stream network. To test the basic hydrologic function of SWAT +, it was applied to the Little River Experimental Watershed (Georgia) without enhanced overland routing and compared with previous models. SWAT + gave similar results and inaccuracies as these models did for streamflow and water balance. Taking full advantage of the new capabilities of SWAT + regarding watershed discretization and landscape and river interactions is expected to improve simulations in future studies. While many capabilities of SWAT have already been enhanced in SWAT + and new capabilities have been added, the model will continue to evolve in response to advancements in scientific knowledge and the demands of the growing worldwide user community. Editor's note: This paper is part of the featured series on SWAT Applications for Emerging Hydrologic and Water Quality Challenges. See the February 2017 issue for the introduction and background to the series .
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