Long Term Soil and Water Assessment Tool (SWAT) Calibration from an Ecohydrology Perspective
Long Term Soil and Water Assessment Tool (SWAT) Calibration from an Ecohydrology Perspective作者机构：Spatial Sciences Laboratory Texas A & M University College Station TX USA Department of Biological and Agricultural Engineering Texas A & M University College Station TX USA
出 版 物：《Open Journal of Applied Sciences》 (应用科学（英文）)
年 卷 期：2015年第5卷第7期
页 面：344-354页
学科分类：1002[医学-临床医学] 100214[医学-肿瘤学] 10[医学]
主 题：Principle of Maximum Entropy Ecohydrology Indicators of Hydrologic Alteration Maximum Entropy Ordered Weighted Averaging Soil and Water Assessment Tool Calibration
摘 要：The performance on prediction by mathematical models which represent the conceived image of a system such as hydrology is oftentimes represented through calibration and verification processes. Oftentimes a best fit between observed and predicted flows is obtained through correlation coefficient (R2) and the Nash Sutcliffe model efficiency (NSE) by minimizing the average Root Mean Square Error (RMSE) of the observed versus simulated flows. However, these days, a new paradigm is emerging wherein accounting for the flow variability for the protection of freshwater biodiversity and maintenance of goods and services that rivers provide is paramount. Therefore, from an ecohydrology perspective, it is not clear if the existing method of model calibration meets the needs of the riverine ecosystem at its best. Thus, this study investigates and proposes a methodology using entropy theory to gage the calibration of Soil and Water Assessment Tool (SWAT) from an ecohydrology perspective characterized by the natural flow-regime paradigm: Indicators of Hydrologic Alteration.
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