CCPortal
DOI10.1016/j.envsoft.2019.02.011
Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables
Wagner, Paul D.; Fohrer, Nicola
发表日期2019
ISSN1364-8152
EISSN1873-6726
卷号115页码:155-163
英文摘要

Land use and hydrology are interdependent, so that land use modeling could benefit from hydrologic modeling. This study aims to integrate spatial predictions of hydrologic variables as provided by a hydrologic model into a land use model for a rapidly urbanizing catchment in India. The benefits of this integration are quantified by comparing predictions of a land use model that uses a basic set of explanatory variables to a land use model that additionally uses the modeled hydrologic variables. Our results indicate that the integration of the hydrologic variables improved the model accuracy indicated by overall accuracy (+ 3 and + 4 percentage points (pp)), class specific user and producer accuracies (up to + 8 pp) and figure of merit (+ 4 and + 5.3 pp) when compared with land use classifications at two points in time. Moreover, the land use patterns show that the integration of the hydrologic variables helped to avoid allocation errors.


WOS研究方向Computer Science ; Engineering ; Environmental Sciences & Ecology
来源期刊ENVIRONMENTAL MODELLING & SOFTWARE
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/97449
作者单位Univ Kiel, Inst Nat Resource Conservat, Dept Hydrol & Water Resources Management, D-24118 Kiel, Germany
推荐引用方式
GB/T 7714
Wagner, Paul D.,Fohrer, Nicola. Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables[J],2019,115:155-163.
APA Wagner, Paul D.,&Fohrer, Nicola.(2019).Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables.ENVIRONMENTAL MODELLING & SOFTWARE,115,155-163.
MLA Wagner, Paul D.,et al."Gaining prediction accuracy in land use modeling by integrating modeled hydrologic variables".ENVIRONMENTAL MODELLING & SOFTWARE 115(2019):155-163.
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