Advance prediction of coastal groundwater levels with temporal convolutional and long short-term memory networks

to related objects

Abstract R 2 of the TCN-based models' values were higher and the root mean square error (RMSE) values were lower than that of the LSTM-based model in the prediction stage with shorter running times. For the advanced prediction, the model accuracy decreased with the increase in the advancing period from 1 to 3, 7, and 15 d. By comparing the simulation accuracy and efficiency, the TCN-based model slightly outperformed the LSTM-based model but was less efficient in training time. Both models showed great ability to learn complex patterns in advance using historical data with different leading periods and had been proven to be valid localized groundwater-level prediction tools in the subsurface environment.

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Bibliographic citation: Advance prediction of coastal groundwater levels with temporal convolutional and long short-term memory networks ; volume:27 ; number:1 ; year:2023 ; pages:83-96 ; extent:14
Hydrology and earth system sciences ; 27, Heft 1 (2023), 83-96 (gesamt 14)

Creator: Zhang, Xiaoying
Dong, Fan
Chen, Guangquan
Dai, Zhenxue

DOI: 10.5194/hess-27-83-2023

URN: urn:nbn:de:101:1-2023010504265705603527

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:22 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Zhang, Xiaoying
Dong, Fan
Chen, Guangquan
Dai, Zhenxue

Other Objects (12)

Advance prediction of coastal groundwater levels with temporal convolutional network

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater fluctuations in heterogeneous coastal leaky aquifer systems

Disentangling coastal groundwater level dynamics in a global dataset

Groundwater modelling of a coastal semi-arid hydrogeological system

Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks

Application of coastal hazard index to advance nature based protection for coastal communities in the small islands

Disentangling coastal groundwater level dynamics on a global data set

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Advance prediction of coastal groundwater levels with temporal convolutional network

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater fluctuations in heterogeneous coastal leaky aquifer systems

Disentangling coastal groundwater level dynamics in a global dataset

Groundwater modelling of a coastal semi-arid hydrogeological system

Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks

Application of coastal hazard index to advance nature based protection for coastal communities in the small islands

Disentangling coastal groundwater level dynamics on a global data set

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Advance prediction of coastal groundwater levels with temporal convolutional network

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater fluctuations in heterogeneous coastal leaky aquifer systems

Disentangling coastal groundwater level dynamics in a global dataset

Groundwater modelling of a coastal semi-arid hydrogeological system

Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks

Application of coastal hazard index to advance nature based protection for coastal communities in the small islands

Disentangling coastal groundwater level dynamics on a global data set

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Advance prediction of coastal groundwater levels with temporal convolutional and long short-term memory networks

Object Details

References and Relationships

Contributors, Places and Time

Further information

Data provider

Associated

Other Objects (12)

Advance prediction of coastal groundwater levels with temporal convolutional network

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater fluctuations in heterogeneous coastal leaky aquifer systems

Disentangling coastal groundwater level dynamics in a global dataset

Groundwater modelling of a coastal semi-arid hydrogeological system

Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks

Application of coastal hazard index to advance nature based protection for coastal communities in the small islands

Disentangling coastal groundwater level dynamics on a global data set

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Advance prediction of coastal groundwater levels with temporal convolutional network

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater fluctuations in heterogeneous coastal leaky aquifer systems

Disentangling coastal groundwater level dynamics in a global dataset

Groundwater modelling of a coastal semi-arid hydrogeological system

Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks

Application of coastal hazard index to advance nature based protection for coastal communities in the small islands

Disentangling coastal groundwater level dynamics on a global data set

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Advance prediction of coastal groundwater levels with temporal convolutional network

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater withdrawal in randomly heterogeneous coastal aquifers

Groundwater fluctuations in heterogeneous coastal leaky aquifer systems

Disentangling coastal groundwater level dynamics in a global dataset

Groundwater modelling of a coastal semi-arid hydrogeological system

Short-term Traffic Demand Prediction using Graph Convolutional Neural Networks

Application of coastal hazard index to advance nature based protection for coastal communities in the small islands

Disentangling coastal groundwater level dynamics on a global data set

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Groundwater Throughflow and Seawater Intrusion in High Quality Coastal Aquifers

Coastal groundwater systems: mapping chloride distribution from borehole and geophysical data

Related objects

Reset password