The Analysis of Water Movement and Heat Transfer Modeling

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Xuzhou city lies on the north of Jiangsu province. Its geological conditions are complex, water resources are deficient and environment is vulnerable. At present, water pollution in Kui river area is very serious, the water movement and heat transfer characteristics of unsaturated zone in Kui river area was studied to provide a theory foundation for predicting pollution of unsaturated zone removing and transforming. The study was considered through the rule of energy flow and nutrient cycling under different vegetation cover: temperature of soil decreases with increasing depths in most area, but different vegetation cover causes vary between variation-rate in different temperature, which some vegetation cover cause temperature of soil increases with increasing depths.

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380-384

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December 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Lemonsu A, Grimmond CSB, et al. modeling the surface energy balance of the core of an old mediterranean city Marseille [J]. Journal of Applied Meteorology, 2004, 43(2): 312-327.

DOI: 10.1175/1520-0450(2004)043<0312:mtsebo>2.0.co;2

Google Scholar

[2] Zhang Q, Wei G A, Huang R H. Bulk transfer coefficients of the atmospheric momentum and sensible heat over desert and gobi in arid climate region of northwest China[J]. Science in China(SeriesD), 2002, 45(1): 1-14.

DOI: 10.1360/02yd9049

Google Scholar

[3] Cierjacks, Arne, Birgit Kleinschmit , et al. Carbon stocks of soil and vegetation on Danubian floodplains, J Plant Nutr Soil Sci, 2010, 173(5): 644-652.

DOI: 10.1002/jpln.200900209

Google Scholar

[4] Zhang, Yu, Torsten Sachs, Changsheng Li, et al. Upscaling methane fluxes from closed chambers to eddy covariance based on a permafrost biogeochemistry integrated model, Glob Ch Biol, 2012, 18(4): 1428-1436.

DOI: 10.1111/j.1365-2486.2011.02587.x

Google Scholar

[5] Whitfield, B., J. M. Jacobs, and J. Judge, Intercomparison Study of the Land Surface Process Model and the Common Land Model for a Prairie Wetland in Florida, J Hydrometeorology, 2006, 7(6): 1247-1256.

DOI: 10.1175/jhm547.1

Google Scholar

[6] Sleutel, Steven, Bram Moeskops , et al. Modeling soil moisture effects on net nitrogen mineralization in loamy wetland soils, Wetl, 2008, 28(3): 724-735.

DOI: 10.1672/07-105.1

Google Scholar

[7] Paiva, Rodrigo C.D., Walter Collischonn , et al. Large scale hydrologic and hydrodynamic modeling using limited data and a GIS based approach, J Hydrol, 2011, 406(3): 170-178.

DOI: 10.1016/j.jhydrol.2011.06.007

Google Scholar

[8] Yu Zhang, Changsheng Li, Carl C. Trettin, , et al. An integrated model of soil, hydrology, and vegetation for carbon dynamics in wetland ecosystems. Global biogeochemical cycles, 2002, 16(4): 1-17.

DOI: 10.1029/2001gb001838

Google Scholar