globalchange  > 气候变化与战略
DOI: 10.5194/hess-24-6075-2020
论文题名:
Key challenges facing the application of the conductivity mass balance method: A case study of the Mississippi River basin
作者: Lyu H.; Xia C.; Zhang J.; Li B.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2020
卷: 24, 期:12
起始页码: 6075
结束页码: 6090
语种: 英语
Scopus关键词: Data streams ; Rivers ; Sensitivity analysis ; Uncertainty analysis ; Watersheds ; Anthropogenic activity ; Baseflow separations ; Inverse correlation ; Mississippi River Basin ; Parameter calculation ; Parameter determination ; Specific conductance ; Uncertainty assessment ; Inverse problems ; altitude ; baseflow ; correlation ; discharge ; headwater ; mass balance ; sampling ; separation ; spatial distribution ; uncertainty analysis ; Mississippi River ; United States
英文摘要: The conductivity mass balance (CMB) method has a long history of application to baseflow separation studies. The CMB method uses site-specific and widely available discharge and specific conductance data. However, certain aspects of the method remain unstandardized, including the determination of the applicability of this method for a specific area, minimum data requirements for baseflow separation and the most accurate parameter calculation method. This study collected and analyzed stream discharge and water conductivity data for over 200 stream sites at large spatial (2.77 to 2 915 834 km2 watersheds) and temporal (up to 56 years) scales in the Mississippi River basin. The suitability criteria and key factors influencing the applicability of the CMB method were identified based on an analysis of the spatial distribution of the inverse correlation coefficient between stream discharge and conductivity and the rationality of baseflow separation results. Sensitivity analysis, uncertainty assessment and T test were used to identify the parameter the method was most sensitive to, and the uncertainties of baseflow separation results obtained from different parameter determination methods and various sampling durations were compared. The results indicated that the inverse correlation coefficient between discharge and conductivity can be used to quantitatively determine the applicability of the CMB method, while the CMB method is more applicable in tributaries, headwater reaches, high altitudes and regions with little influence from anthropogenic activities. A minimum of 6-month discharge and conductivity data was found to provide reliable parameters for the CMB method with acceptable errors, and it is recommended that the parameters SCRO and SCBF be determined by the 1st percentile and dynamic 99th percentile methods, respectively. The results of this study can provide an important basis for the standardized treatment of key problems in the application of the CMB. © 2020 Copernicus GmbH. All rights reserved.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/162513
Appears in Collections:气候变化与战略

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作者单位: Lyu, H., Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, Changchun, 130026, China, Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130026, China; Xia, C., Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, Changchun, 130026, China, Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130026, China; Zhang, J., Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, Changchun, 130026, China, Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130026, China; Li, B., Key Laboratory of Groundwater Resources and Environment, Jilin University, Ministry of Education, Changchun, 130026, China, Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun, 130026, China

Recommended Citation:
Lyu H.,Xia C.,Zhang J.,et al. Key challenges facing the application of the conductivity mass balance method: A case study of the Mississippi River basin[J]. Hydrology and Earth System Sciences,2020-01-01,24(12)
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