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地学前沿讲座--Integrated environmental modeling and management-–the Geo-spatial interface for the Water Erosion Prediction Project (GeoWEPP)
发布时间: 2013-11-25  

地学前缘讲座 -2013年第 16                                   

主题Integrated environmental modeling and management-the Geo-spatial interface for the Water Erosion Prediction Project (GeoWEPP)

时间20131126日(周二)10:00-12:00

地点:化学楼二层报告厅

 

主讲人:  纽约州立大学布法罗分校

                     Chris S. Renschler 博士

 

主讲人简介:

     Chris S. Renschler2000年于德国波恩大学获博士学位。现任职于纽约州立大学布法罗分校地理系,同时任职于该校地震工程多学科研究中心(Multidisciplinary Center for Earthquake Engineering ResearchMCEER)、地质灾害研究中心(Center for GeoHazards Studies)和美国地理信息与分析中心(National Center for Geographic Information and AnalysisNCGIA)。研究兴趣为地理信息科学、环境建模和自然资源管理。2007年,因在地球科学多学科融合中所作的创新性工作获美国土壤学会水土保持青年学者奖。发表论文60余篇。

 

讲座简介:

The Geo-spatial interface for WEPP (GeoWEPP) utilizes digital geo-referenced information such as digital elevation models (DEM) and topographical maps to derive and prepare valid model input parameters and defaults to start site-specific soil and water conservation planning for a small watershed with a single soil and land use for each sub-catchment. The Water Erosion Prediction Project (WEPP) model is a continuous simulation, process-based model that allows simulation of small watersheds and hillslope profiles within those watersheds for assessing various soil and water conservation management options for agricultural, rangeland, and forest sites. The integration of orthophotos, soil surveys, land use maps, climate data, and precision farming data as well as multiple soil and land use within each sub-catchment is currently under development. The goal of the GeoWEPP project is to provide a series of interfaces for users with different levels of GIS knowledge that are capable to utilizing these different data sources in a standard format either provided by GIS users, by precision farmers with Global Positioning Systems (GPS) databases and/or through accessing commonly readily available U.S.-nationwide data sets that are free of charge.

 

地理科学与遥感科学学院

地表过程与资源生态国家重点实验室


 
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