机构:
Capital Normal Univ, Beijing Municipal Key Lab Resource Environm, Beijing 100048, Peoples R China
Capital Normal Univ, GIS, Coll Resource Environm & Tourism, Beijing 100048, Peoples R ChinaCapital Normal Univ, Beijing Municipal Key Lab Resource Environm, Beijing 100048, Peoples R China
Yin, Chuan
[1
,2
]
Ji, Hongbing
论文数: 0引用数: 0
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机构:
Capital Normal Univ, Beijing Municipal Key Lab Resource Environm, Beijing 100048, Peoples R China
Capital Normal Univ, GIS, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550002, Peoples R ChinaCapital Normal Univ, Beijing Municipal Key Lab Resource Environm, Beijing 100048, Peoples R China
Ji, Hongbing
[1
,2
,3
]
机构:
[1] Capital Normal Univ, Beijing Municipal Key Lab Resource Environm, Beijing 100048, Peoples R China
[2] Capital Normal Univ, GIS, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China
[3] Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550002, Peoples R China
A novel quantitative model of the relationship between diffused concentration changes and erosion rates using assessment of soil losses was developed. It derived from the analysis of surface soil Cs-137 flux variation under persistent erosion effect and based on the principle of geochemistry kinetics moving boundary. The new moving boundary model improves the basic simplified transport model (Zhang et al., 2008), and mainly applies to uniform rainfall areas which show a long-time soil erosion. The simulation results for this kind of erosion show under a long-time soil erosion, the influence of Cs-137 concentration will decrease exponentially with increasing depth. Using the new model fit to the measured Cs-137 depth distribution data in Zunyi site, Guizhou Province, China which has typical uniform rainfall provided a good fit with R-2 = 0.92. To compare the soil erosion rates calculated by the simple transport model and the new model, we take the Kaixian reference profile as example. The soil losses estimated by the previous simplified transport model are greater than those estimated by the new moving boundary model, which is consistent with our expectations. (C) 2015 Elsevier Ltd. All rights reserved.
机构:
Chinese Acad Sci, NE Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130012, Peoples R China
N China Univ Water Resources & Elect Power, Coll Water Resources, Zhengzhou 450011, Peoples R ChinaChinese Acad Sci, NE Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130012, Peoples R China
Yang Yu-Hong
Yan Bai-Xing
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机构:
Chinese Acad Sci, NE Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130012, Peoples R China
N China Univ Water Resources & Elect Power, Coll Water Resources, Zhengzhou 450011, Peoples R ChinaChinese Acad Sci, NE Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130012, Peoples R China
Yan Bai-Xing
Zhu Hui
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机构:
Chinese Acad Sci, NE Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130012, Peoples R ChinaChinese Acad Sci, NE Inst Geog & Agroecol, Key Lab Wetland Ecol & Environm, Changchun 130012, Peoples R China
机构:
USDA ARS, Oklahoma & Cent Plains Agr Res Ctr, 7207 W Cheyenne St, El Reno, OK 73036 USAUSDA ARS, Oklahoma & Cent Plains Agr Res Ctr, 7207 W Cheyenne St, El Reno, OK 73036 USA
Zhang, X. C. John
Busteed, P. R.
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USDA ARS, Oklahoma & Cent Plains Agr Res Ctr, 7207 W Cheyenne St, El Reno, OK 73036 USAUSDA ARS, Oklahoma & Cent Plains Agr Res Ctr, 7207 W Cheyenne St, El Reno, OK 73036 USA