Estimating hydraulic parameters of a heterogeneous aquitard using long-term multi-extensometer and groundwater level data

被引:0
|
作者
Zhuang, Chao [1 ,2 ]
Zhou, Zhifang [1 ]
Illman, Walter A. [2 ]
Guo, Qiaona [1 ]
Wang, Jinguo [1 ]
机构
[1] Hohai Univ, Sch Earth Sci & Engn, 1 Xikang Rd, Nanjing 210098, Jiangsu, Peoples R China
[2] Univ Waterloo, Dept Earth & Environm Sci, Waterloo, ON, Canada
基金
加拿大自然科学与工程研究理事会; 中国国家自然科学基金;
关键词
Aquitard; Hydraulic properties; Compaction; Delayed drainage; XI-CHANG AREA; LAND SUBSIDENCE; YANGTZE DELTA; STORAGE; FLOW; CONDUCTIVITY; CALIFORNIA; PRESSURE; CHINA; MODEL;
D O I
10.1007/s10040-017-1596-y
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The classical aquitard-drainage model COMPAC has been modified to simulate the compaction process of a heterogeneous aquitard consisting of multiple sub-units (Multi-COMPAC). By coupling Multi-COMPAC with the parameter estimation code PEST++, the vertical hydraulic conductivity (K (v)) and elastic (S (ske)) and inelastic (S (skp)) skeletal specific-storage values of each sub-unit can be estimated using observed long-term multi-extensometer and groundwater level data. The approach was first tested through a synthetic case with known parameters. Results of the synthetic case revealed that it was possible to accurately estimate the three parameters for each sub-unit. Next, the methodology was applied to a field site located in Changzhou city, China. Based on the detailed stratigraphic information and extensometer data, the aquitard of interest was subdivided into three sub-units. Parameters K (v), S (ske) and S (skp) of each sub-unit were estimated simultaneously and then were compared with laboratory results and with bulk values and geologic data from previous studies, demonstrating the reliability of parameter estimates. Estimated S (skp) values ranged within the magnitude of 10(-4) m(-1), while K (v) ranged over 10(-10)-10(-8) m/s, suggesting moderately high heterogeneity of the aquitard. However, the elastic deformation of the third sub-unit, consisting of soft plastic silty clay, is masked by delayed drainage, and the inverse procedure leads to large uncertainty in the S (ske) estimate for this sub-unit.
引用
收藏
页码:1721 / 1732
页数:12
相关论文
共 50 条
  • [1] Geostatistical inverse modeling for the characterization of aquitard heterogeneity using long-term multi-extensometer data
    Zhuang, Chao
    Zhou, Zhifang
    Illman, Walter A.
    Wang, Jinguo
    JOURNAL OF HYDROLOGY, 2019, 578
  • [2] Groundwater level reconstruction using long-term climate reanalysis data and deep neural networks
    Chidepudi, Sivarama Krishna Reddy
    Massei, Nicolas
    Jardani, Abderrahim
    Henriot, Abel
    JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2024, 51
  • [3] Understanding groundwater droughts using detrended historical meteorological data and long-term groundwater modelling
    Schutten, Wout A.
    Pezij, Michiel
    Hogeboom, Rick J.
    Jungermann, U. Nicole
    Augustijn, Denie C. M.
    NETHERLANDS JOURNAL OF GEOSCIENCES, 2024, 103
  • [4] Evaluation of PRZM-GW using long-term groundwater monitoring data
    Tang, Jane
    Sur, Robin
    Coody, Pete
    Dyer, Daniel G.
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2014, 248
  • [5] Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China
    Dayou Luo
    Xingping Wen
    Junlong Xu
    Haonan Zhang
    SIHAPANYA Vongphet
    Ping He
    Earth Science Informatics, 2021, 14 : 861 - 870
  • [6] Assessing shallow groundwater level using RTI model and long-term MODIS data in Ejina Basin, Northwest China
    Luo, Dayou
    Wen, Xingping
    Xu, Junlong
    Zhang, Haonan
    Vongphet, Sihapanya
    He, Ping
    EARTH SCIENCE INFORMATICS, 2021, 14 (02) : 861 - 870
  • [7] Estimating the long-term evolution of river bed levels using hydrometric data
    Le Coz, Jerome
    Smart, Graeme
    Hicks, Murray
    Mansanarez, Valentin
    Renard, Benjamin
    Camenen, Benoit
    Lang, Michel
    NINTH INTERNATIONAL CONFERENCE ON FLUVIAL HYDRAULICS (RIVER FLOW 2018), 2018, 40
  • [8] Evaluation of long-term groundwater level data in regular monitoring wells, Barka, Sultanate of Oman
    Rajmohan, Natarajan
    Al-Futaisi, Ahmed
    Jamrah, Ahmad
    HYDROLOGICAL PROCESSES, 2007, 21 (24) : 3367 - 3379
  • [9] A Bayesian approach for estimating the parameters of a forest process model based on long-term growth data
    Gertner, GZ
    Fang, SF
    Skovsgaard, JP
    ECOLOGICAL MODELLING, 1999, 119 (2-3) : 249 - 265
  • [10] Groundwater Resource Assessment by Applying Long-Term Trend Analysis of Spring Discharge, Water Level, and Hydroclimatic Parameters
    Yu, Zhi-Qiang
    Hosono, Takahiro
    Amano, Hiroki
    Berndtsson, Ronny
    Nakagawa, Kei
    WATER RESOURCES MANAGEMENT, 2024, 38 (11) : 4161 - 4177