Data for TgNN

Name: Data for TgNN
Creator: Nanzhe Wang
Published: 2019-10-24T00:00:00+08:00

Figshare2019-10-24 更新2026-04-08 收录

地下水流模拟

理论引导深度学习

数据链接：

https://figshare.com/articles/Data_for_TgNN/10032980/1 数据链接链接失效反馈

官方服务：

资源简介：

The data are the supporting materials for the paper '<b>Deep Learning of Subsurface Flow via Theory-guided Neural Network</b>'.<br>

提供机构：

Nanzhe Wang

创建时间：

2019-10-24

Data for: unstructured Voronoi grids for MODFLOW

地下水流模拟

Voronoi图

The data contains two data sets of underground water flow problems using MOFLOW 6. The first one is the classical Darcy problem, simulated with a nested Locally Refined Grid (LGR) and using a Voronoi

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GroMoPo Metadata for Mendha sub-basin model

地下水流模拟

水资源评估

A direct approach to designing MODFLOW finite difference model is tedious and less intuitive, specifically for complex boundary and initial conditions. Therefore, a MODFLOW model can be developed eith

DataONE2023-04-13 更新30

Simulated constant-head boundary for the transient ground-water flow model, Death Valley regional ground-water flow system, Nevada and California

地下水流模拟

区域水文地质模型

These data were released prior to the October 1, 2016 effective date for the USGS&rsquo;s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual

U.S. Geological Survey2023-01-01 更新20

GroMoPo Metadata for Madison Group, Powder River Basin USGS model

地下水流模拟

含水层可持续性

A digital simulation model was used to analyze regional ground-water flow in the Madison Group aquifer in the Powder River Basin in Montana and Wyoming and adjacent areas. Most recharge to the aquifer

DataONE2023-02-07 更新50

MODFLOW 6 model used to simulate groundwater flow in the Harney Basin, southeastern Oregon (ver. 2.0, May 2024)

地下水流模拟

水文地质评估

A three-dimensional groundwater flow model, MODFLOW 6, was developed to provide a better understanding of the hydrogeology of the Harney Basin, southeastern Oregon. The model was used to investigate t

U.S. Geological Survey2024-05-06 更新20

Data for TgNN

资源简介：

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