five

GroMoPo Metadata for Daxing Beijing Model

收藏
DataONE2023-02-08 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:f4fee3c85381b096eec94ece5dc1ad65154bd14d68ebe744a19691f9bb267d73
下载链接
链接失效反馈
官方服务:
资源简介:
The use of groundwater flow models is prevalent in the field of environmental hydrogeology. Models have been applied to investigate a wide variety of hydrogeological conditions. Recently, groundwater models have been applied to predict the fate and transport of contaminants for risk evaluation purposes. In this paper, a transient groundwater flow model in Daxing district of Beijing, China was developed. The conceptual model was built by analyzing the hydrogeological data. Hydraulic conductivities have been calibrated by the steady state model. The storage coefficients are calibrated by the transient model based on the available data observed from 1995 to 2000, which provides insights to understand the dynamic behavior of groundwater systems and to predict spatial-temporal distributions of groundwater levels in responding to changes. The model results help to identify the aquifer properties and to analyze the groundwater flow dynamics, the changes of groundwater levels, in addition, the improvement of the groundwater level monitoring network will be proposed through the analysis of groundwater levels. The calibrated transient model will be used later to predict the impacts of water resources management schemes on groundwater in the study area. (C) 2011 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of the organizing committee of 2nd International Conference on Advances in Energy Engineering (ICAEE).

地下水流模型在环境水文地质学领域应用极为广泛,已被用于探究各类水文地质条件。近年来,地下水流模型已被应用于预测污染物的归趋与运移,以开展风险评估工作。本文构建了中国北京大兴区的非稳定地下水流模型:通过分析水文地质数据建立概念模型,采用稳定流模型率定渗透系数,并基于1995年至2000年的实测监测数据,利用非稳定流模型率定储水系数。该研究可为理解地下水系统的动态行为、预测地下水位在外界变化下的时空分布特征提供支撑;模型结果可用于识别含水层特性、分析地下水流动力学过程与地下水位变化,同时还可通过地下水位数据分析提出地下水位监测网络的优化方案。后续将利用率定完成的非稳定流模型,预测研究区内水资源管理方案对地下水的影响。©2011 爱思唯尔出版集团出版。本文的遴选及同行评议工作由第二届能源工程进展国际会议(ICAEE)组织委员会负责。
创建时间:
2023-12-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作