[Swift-commit] r5383 - wwwdev/case_studies

vytas at ci.uchicago.edu vytas at ci.uchicago.edu
Thu Dec 8 18:25:46 CST 2011


Author: vytas
Date: 2011-12-08 18:24:15 -0600 (Thu, 08 Dec 2011)
New Revision: 5383

Modified:
   wwwdev/case_studies/Hydrology.php
Log:
text updated per document provided by Yuejun Yan

Modified: wwwdev/case_studies/Hydrology.php
===================================================================
--- wwwdev/case_studies/Hydrology.php	2011-12-09 00:23:31 UTC (rev 5382)
+++ wwwdev/case_studies/Hydrology.php	2011-12-09 00:24:15 UTC (rev 5383)
@@ -22,18 +22,13 @@
 <!-- end .grid_12 -->
 
  <div class="grid_9">
-	<h3>Modeling Climate Impact on Hydrology</h3>
-	<p>
-Modeling the hydrology of the Mississippi river basin to assess the impacts of climate change and crop changes driven by energy/economics factors.
+	<h3>Modeling Climate/Crop Impacts on Hydrology</h3>
+	<p>Modeling the hydrology of the Mississippi River Basin to assess the impacts of climate change, crop growth, and energy production driven by energy/economics factors.
 </p>
 	<img src="images/hydrology.jpg" style="padding:0px 0px 15px 20px;" />
-	<p><b>Approach.</b>
-wift is used to perform large-scale modeling runs using SWAT, the Soil and Water Assesment Tool, to study of the impact of global temperature increase on on water and plant productivity in the Upper Mississippi River Basin.
-
-These studies use Swift to perform calibration, sensitivity studies, and optimzation using SCE optimization methods (structured complex evolution) methods. All of these computational modling procedures involve multiple runs of thousands of invocations of SWAT to model the timing and magnitude of changes in runoff, soil moisture, water quality, water availability, and crop yield in important
-agricultural areas.
-	<p><b>Results.</b> 
-Results of this research demonstrate that plausible changes in temperature and precipitation caused by increases in atmospheric greenhouse gas concentrations could have major impacts on both
+	<p><b>Approach.</b> Swift is used to perform large-scale watershed simulations using SWAT, the Soil and Water Assessment Tool, to study the impacts of global climate change, large-scale biomass feedstock production, and potential water demands on the regional hydrologic system in the Upper Mississippi River Basin. These studies use Swift to perform calibration, sensitivity studies, and optimization using SCE (shuffled complex evolution) optimization methods. All of these computational modeling procedures involve multiple runs of thousands of invocations of SWAT to simulate the temporal and spatial changes in evapotranspiration, soil moisture, runoff, groundwater recharge,  crop yields, as well as water quality in streams such as nitrogen, phosphorous, and eroded sediments in regional hydrologic system.</p>
+	
+	<p><b>Results.</b> Results of this research demonstrate dynamic interrelationships among water quantity and quality, biofuel production, crop growth/management, and climate change. The modeling tool developed in this study can be used to address future sustainability of the regional/local hydrologic systems.
 </p>
 	<p> </p>
 	</div>




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