Asset Details
MbrlCatalogueTitleDetail
Do you wish to reserve the book?
Numerical simulation study on inferring the location of subsurface karst water channels using shallow geothermal field data
by
Zeng, Renzhe
, Li, Yunfeng
, Chen, Zongfang
, Ge, Weiya
, Qiu, Junhao
, Zhang, Qing
, Lu, Yuanzhi
in
Aquaporins
/ Aquifers
/ China
/ Coke industry
/ Coking
/ Computer Simulation
/ Diameters
/ Earth temperature
/ Environmental engineering
/ Environmental impact
/ Equivalence
/ Feasibility studies
/ Finite element analysis
/ Geology
/ Geothermal fields
/ Ground temperatures
/ Groundwater
/ Groundwater flow
/ Heat transfer
/ Investigations
/ Karst
/ Low temperature
/ Mathematical models
/ Measurement methods
/ Methods
/ Models, Theoretical
/ Numerical analysis
/ Numerical simulations
/ Simulation
/ Simulation methods
/ Stratigraphy
/ Temperature
/ Temperature anomalies
/ Temperature data
/ Temperature distribution
/ Temperature measurement
/ Temperature measurements
/ Thermometry
/ Tomography
/ Water
/ Water depth
/ Water temperature
2025
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
You are currently in the queue to collect this book. You will be notified once it is your turn to collect the book.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Numerical simulation study on inferring the location of subsurface karst water channels using shallow geothermal field data
by
Zeng, Renzhe
, Li, Yunfeng
, Chen, Zongfang
, Ge, Weiya
, Qiu, Junhao
, Zhang, Qing
, Lu, Yuanzhi
in
Aquaporins
/ Aquifers
/ China
/ Coke industry
/ Coking
/ Computer Simulation
/ Diameters
/ Earth temperature
/ Environmental engineering
/ Environmental impact
/ Equivalence
/ Feasibility studies
/ Finite element analysis
/ Geology
/ Geothermal fields
/ Ground temperatures
/ Groundwater
/ Groundwater flow
/ Heat transfer
/ Investigations
/ Karst
/ Low temperature
/ Mathematical models
/ Measurement methods
/ Methods
/ Models, Theoretical
/ Numerical analysis
/ Numerical simulations
/ Simulation
/ Simulation methods
/ Stratigraphy
/ Temperature
/ Temperature anomalies
/ Temperature data
/ Temperature distribution
/ Temperature measurement
/ Temperature measurements
/ Thermometry
/ Tomography
/ Water
/ Water depth
/ Water temperature
2025
Oops! Something went wrong.
While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
Numerical simulation study on inferring the location of subsurface karst water channels using shallow geothermal field data
by
Zeng, Renzhe
, Li, Yunfeng
, Chen, Zongfang
, Ge, Weiya
, Qiu, Junhao
, Zhang, Qing
, Lu, Yuanzhi
in
Aquaporins
/ Aquifers
/ China
/ Coke industry
/ Coking
/ Computer Simulation
/ Diameters
/ Earth temperature
/ Environmental engineering
/ Environmental impact
/ Equivalence
/ Feasibility studies
/ Finite element analysis
/ Geology
/ Geothermal fields
/ Ground temperatures
/ Groundwater
/ Groundwater flow
/ Heat transfer
/ Investigations
/ Karst
/ Low temperature
/ Mathematical models
/ Measurement methods
/ Methods
/ Models, Theoretical
/ Numerical analysis
/ Numerical simulations
/ Simulation
/ Simulation methods
/ Stratigraphy
/ Temperature
/ Temperature anomalies
/ Temperature data
/ Temperature distribution
/ Temperature measurement
/ Temperature measurements
/ Thermometry
/ Tomography
/ Water
/ Water depth
/ Water temperature
2025
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Numerical simulation study on inferring the location of subsurface karst water channels using shallow geothermal field data
Journal Article
Numerical simulation study on inferring the location of subsurface karst water channels using shallow geothermal field data
2025
Request Book From Autostore
and Choose the Collection Method
Overview
Karst structures significantly impact the environment and engineering projects. The presence of water-bearing karst structures alters the shallow stratigraphic temperature field. The shallow temperature measurement method offers a simple and efficient approach to obtain shallow ground temperature data, enabling the inference of karst structure distribution through temperature anomalies. In this study, the feasibility of using shallow thermometry to detect karst pipeline structures was investigated via numerical simulation at the Hongsheng Coal Coking Plant and its surrounding sites in Panzhou City, Guizhou Province, China. The results indicate that variations in the burial depth of karst structures markedly influence shallow stratum temperatures. For a single karst conduit with an equivalent diameter of 0.5 m and water temperature of 12 °C, the detectable depth limit is approximately 66 m. Although an increase in the effective flow cross-sectional area affects shallow stratigraphic temperatures, changes in equivalent diameter under the site-specific conditions alter the temperature at 2 m depth by less than 0.02 °C, making it difficult to identify the effective flow cross-sectional area using shallow thermometry. Variations in fluid temperature within a certain range (12-18 °C) also affect shallow ground temperatures, with the influence of lower-temperature fluids being more pronounced. This study provides a rapid, cost-effective, and relatively accurate method for investigating subsurface karst structures, offering important implications for related engineering applications.
MBRLCatalogueRelatedBooks
Related Items
Related Items
We currently cannot retrieve any items related to this title. Kindly check back at a later time.
This website uses cookies to ensure you get the best experience on our website.