Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 4 of 4
Full-Text Articles in Entire DC Network
Evaluating The Impact Of Climate Change On Global Hpai H5n1 Outbreaks, Zhijie Zhang, Dongmei Chen, Wenbao Liu, Lei Wang
Evaluating The Impact Of Climate Change On Global Hpai H5n1 Outbreaks, Zhijie Zhang, Dongmei Chen, Wenbao Liu, Lei Wang
International Congress on Environmental Modelling and Software
Highly pathogenic avian influenza viruses H5N1 have spread throughout Asia, Europe, and Africa in the past decade, raising serious worldwide concerns about a potential new pandemic. Many studies have investigated the spread of the HPAI H5N1 virus and discussed its possible risk factors. However, the climate factor, which can affect the whole process of H5N1 outbreaks, has been greatly ignored. The objective of this preliminary study is to use a GIS-based approach to explore the potential impacts of temperature change on H5N1 outbreaks. We have divided the outbreaks into five epidemic waves. Although the temperature ranges of different epidemic waves …
Validation And Sensitivity Analysis Of Catchment Runoff And Erosion Simulation Technology (Crest): A Gis-Assisted Soil Erosion Model At Watershed Level, Reynaldo L. Lanuza, Eduardo P. Paningbatan Jr
Validation And Sensitivity Analysis Of Catchment Runoff And Erosion Simulation Technology (Crest): A Gis-Assisted Soil Erosion Model At Watershed Level, Reynaldo L. Lanuza, Eduardo P. Paningbatan Jr
International Congress on Environmental Modelling and Software
Most erosion models have been developed based on a plot scale and have limited application to a watershed due to the differences in scale. In order to address this limitation, a GIS-assisted methodology for modeling soil erosion was developed using PCRaster to predict the rate of soil erosion at watershed level and identify the location of erosion prone areas. The GIS-assisted hydrology and erosion models were validated at Tanghaga Watershed using the observed values from previous experiment. The predicted peak rates, Qp, showed a highly significant relationship with the observed Qp, with an r2 value of 0.75. For soil loss …
Evaluating The Impact Of Climate Change On Global Hpai H5n1 Outbreaks, Zhijie Zhang, Dongmei Chen, Wenbao Liu, Lei Wang
Evaluating The Impact Of Climate Change On Global Hpai H5n1 Outbreaks, Zhijie Zhang, Dongmei Chen, Wenbao Liu, Lei Wang
International Congress on Environmental Modelling and Software
Highly pathogenic avian influenza viruses H5N1 have spread throughout Asia, Europe, and Africa in the past decade, raising serious worldwide concerns about a potential new pandemic. Many studies have investigated the spread of the HPAI H5N1 virus and discussed its possible risk factors. However, the climate factor, which can affect the whole process of H5N1 outbreaks, has been greatly ignored. The objective of this preliminary study is to use a GIS-based approach to explore the potential impacts of temperature change on H5N1 outbreaks. We have divided the outbreaks into five epidemic waves. Although the temperature ranges of different epidemic waves …
Validation And Sensitivity Analysis Of Catchment Runoff And Erosion Simulation Technology (Crest): A Gis-Assisted Soil Erosion Model At Watershed Level, Reynaldo L. Lanuza, Eduardo P. Paningbatan Jr
Validation And Sensitivity Analysis Of Catchment Runoff And Erosion Simulation Technology (Crest): A Gis-Assisted Soil Erosion Model At Watershed Level, Reynaldo L. Lanuza, Eduardo P. Paningbatan Jr
International Congress on Environmental Modelling and Software
Most erosion models have been developed based on a plot scale and have limited application to a watershed due to the differences in scale. In order to address this limitation, a GIS-assisted methodology for modeling soil erosion was developed using PCRaster to predict the rate of soil erosion at watershed level and identify the location of erosion prone areas. The GIS-assisted hydrology and erosion models were validated at Tanghaga Watershed using the observed values from previous experiment. The predicted peak rates, Qp, showed a highly significant relationship with the observed Qp, with an r2 value of 0.75. For soil loss …