Prediction of sediment transport capacity using thawed depth deduced from temperature measurement

被引:1
|
作者
Shi, Chen [1 ,2 ]
Ban, Yunyun [1 ]
Tang, Qiuhong [1 ]
机构
[1] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China
[2] China Agr Univ, Coll Engn, Beijing 100083, Peoples R China
来源
SOIL & TILLAGE RESEARCH | 2021年 / 207卷
基金
中国国家自然科学基金;
关键词
Soil temperature; Thawed soil depth; Model deduction; Meltwater erosion; Sediment transport capacity; UNFROZEN WATER-CONTENT; FREEZE-THAW; MELTWATER EROSION; CLIMATE-CHANGE; SOIL-EROSION; FROZEN SOILS; CLAY; STRENGTH; IMPACTS; CYCLES;
D O I
10.1016/j.still.2020.104858
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
In cold regions, changes in thawed soil depth induced by temperature fluctuation are commonly observed and can affect sediment transport capacity of meltwater flow and erosion processes. In this paper, a method based on laboratory experiment was proposed to predict sediment transport capacity using the thawed soil depth derived from temperature at different soil depths measured during the experimental time period. A saturated soil column with platinum resistance sensors at depths of 5, 10, 15, 20, and 25 cm from the soil surface was placed in a freezer at -25, -20, and -15 degrees C until it was totally frozen and then placed in an incubator with a constant temperature of 25, 30, and 35 degrees C. The thawing processes of the frozen soil column were monitored by the sensors that measured temperature during the experimental time. Based on soil heat conduction mechanism, the relations among soil depth, temperature, and time were deduced as a function to predict thawed soil depth giving the frozen temperature, soil temperature inside the incubator, and time after being placed in the incubator. The sediment transport capacity was then calculated by combining the deduced thawed soil depth function and an existing model. The predicted sediment transport capacity was compared with laboratory measurements in literatures. The results show that the model has the ability of predicting sediment transport capacity ranged from 0.019 to 0.598 kg s(-1) m(-1) with high R-2 of 0.99 and 0.98. It suggests that the proposed model can be used to predict the sediment transport capacity by concentrated meltwater flow on different thawed soil slope. This research contributes to our understanding of soil erosion processes by meltwater on partially thawed soil slope.
引用
收藏
页数:9
相关论文
共 50 条
  • [41] Measurement and prediction of phosphorus transport from swine manure at the watershed scale
    Sauer, TJ
    Sreematkandalam, KC
    Tim, US
    James, DE
    Hatfield, JL
    ANIMAL, AGRICULTURAL AND FOOD PROCESSING WASTES IX, PROCEEDINGS, 2003, : 535 - 541
  • [42] Predicting the sediment transport capacity from flow condition and particle size in the presence of vegetation cover
    Mu, Hongli
    Fu, Suhua
    Yu, Bofu
    Zhang, Guanghui
    LAND DEGRADATION & DEVELOPMENT, 2021, 32 (03) : 1237 - 1249
  • [43] Prediction of sediment transport rates in gravel-bed rivers using Gaussian process regression
    Roushangar, Kiyoumars
    Shahnazi, Saman
    JOURNAL OF HYDROINFORMATICS, 2020, 22 (02) : 249 - 262
  • [44] PREDICTION OF SEDIMENT YIELD FROM THE BANDI CATCHMENT USING MORPHOMETRIC CHARACTERISTICS
    SINGH, S
    SHARMA, KD
    ANNALS OF ARID ZONE, 1994, 33 (02) : 109 - 112
  • [45] Measurement and Temperature Prediction from Ash Disposed in Landfills Using a Quasi-Adiabatic Flow Reactor
    Narode, Asmita
    Hao, Zisu
    Pourghaz, Moe
    Ducoste, Joel J.
    Barlaz, Morton A.
    ACS ES&T ENGINEERING, 2024, 4 (06): : 1444 - 1453
  • [46] A Depth From Defocus Measurement System Using a Liquid Lens Objective for Extended Depth Range
    Pasinetti, Simone
    Bodini, Ileana
    Lancini, Matteo
    Docchio, Franco
    Sansoni, Giovanna
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2017, 66 (03) : 441 - 450
  • [47] Modeling the sediment transport capacity of rill flow using a soil-rock mixture on steep slopes
    Jiang, Fangshi
    Chen, Peisong
    Zhang, Liting
    Zhang, Zhenggang
    Yang, Qiaoqiao
    Shuai, Fang
    Li, Huanghui
    Lin, Jinshi
    Zhang, Yue
    Huang, Yanhe
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2023, 49
  • [48] On the crosslinking temperature dependence of charge transport behavior in XLPE film deduced from surface potential decay measurements
    Li, Jing
    Gao, Yu
    Song, Zheng
    Peng, Jinjing
    Xu, Xuri
    JOURNAL OF ELECTROSTATICS, 2021, 109
  • [49] Total Sediment Load from SEMEP Using Depth-Integrated Concentration Measurements
    Shah-Fairbank, Seema C.
    Julien, Pierre Y.
    Baird, Drew C.
    JOURNAL OF HYDRAULIC ENGINEERING-ASCE, 2011, 137 (12): : 1606 - 1614
  • [50] Simultaneous measurement of thermal expansion and heat capacity using temperature modulation technique
    Takegawa, K
    Fukao, K
    Saruyama, Y
    THERMOCHIMICA ACTA, 2005, 432 (02) : 212 - 215