A Study on Urban Groundwater Environment in Southeast Asian Countries
东南亚国家城市地下水环境研究
基本信息
- 批准号:14404003
- 负责人:
- 金额:$ 7.3万
- 依托单位:
- 依托单位国家:日本
- 项目类别:Grant-in-Aid for Scientific Research (B)
- 财政年份:2002
- 资助国家:日本
- 起止时间:2002 至 2004
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
In this study, the following research works were conducted:・Data collection and/or analysis associated with the impact of groundwater extraction on urban groundwater Environment in Hanoi, Vietnam・Establishment of simulation modeling on groundwater behavior due to groundwater extraction in Great Bangkok areas, ThailandFirst, in order to collect data on results of groundwater monitoring and investigate current situation of groundwater Environment in Hanoi, our research group has held workshop in Hanoi together with Vietnamese researchers and engineers. As a result of investigation, the following findings were obtained:・Little decrease of pore water pressure in aquifers due to groundwater extraction is observed, because the amount of Groundwater usage currently balances with water supply from surrounding rivers.Secondly, prediction of groundwater behavior and related land subsidence due to groundwater extraction in Great Bangkok area was conducted. Results showed that the control measures … More on groundwater pumping issued by Bangkok Metropolitan Office effectively helped to decrease the rate of subsidence in central area of Bangkok. However, it was predicted that additional land subsidence in surroundings areas amounts to 0.5m-1.0m, though the rate of subsidence decreases. In addition, the sensitivity analysis of uncertain factors involved in evaluation of land subsidence made it clear that clay contents involved in Bangkok aquifers are dominant one.Furthermore, flood risk analysis against settlement of dyke along Chao Phraya river, which flows through Great Bangkok area, was conducted. In detail, exceedanee probability of land subsidence to allowable settlement was selected as index to investigate flood risk. Finally, following findings were obtained:・Flood risk along Chao Phraya river varies from place to place because of subsoil profile and location of pumping wells.・Uncertainly associated with clay contents involved in Bangkok aquifers is dominant risk factors against flood. Less
在本研究中,开展了以下研究工作:·与开采地下水对越南河内城市地下水环境影响相关的数据收集和/或分析·建立泰国大曼谷地区地下水开采引起的地下水行为的模拟模型。首先,为了收集地下水监测结果的数据并调查河内地下水环境的现状,我们的研究小组与越南研究人员和工程师在河内举办了研讨会。调查结果表明:由于目前地下水的使用量与周围河流的供水量相平衡,地下水开采对含水层中的孔压影响很小。其次,对大曼谷地区地下水开采引起的地下水动态及相关地面沉降进行了预测。结果表明,控制措施为…曼谷大都会办事处发布了更多关于地下水开采的信息,有效地帮助降低了曼谷市中心地区的沉降率。然而,据预测,尽管地面沉降率有所下降,但周边地区的额外地面沉降量仍将达到0.5m-1.0m。此外,对地面沉降评价中涉及的不确定因素进行了敏感性分析,明确了曼谷含水层中粘土含量是主要影响因素,并对流经大曼谷地区的湄南河沿岸堤防进行了洪水风险分析。具体而言,选取地面沉降超过允许沉降量的概率作为洪水风险评价的指标。得出如下结论:·湄南河洪水风险因底土剖面和抽水井位置的不同而不同。·曼谷含水层涉及的粘土含量的不确定性是洪水的主要风险因素。较少
项目成果
期刊论文数量(69)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
New Methodology for Prediction of Groundwater Behavior
地下水行为预测的新方法
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:Ohtsu;H.
- 通讯作者:H.
大津宏康, Sirishin Janrungautai, 大西有三, 高橋健司: "Observation Method using Kalman Filtering for Land Subsidence Prediction in Bangkok area"土木学会第58回年次学術講演会概要集. (未定). (2003)
Hiroyasu Otsu、Sirishin Janrungautai、Yuzo Onishi、Kenji Takahashi:《利用卡尔曼滤波预测曼谷地区地面沉降的观测方法》日本土木工程学会第 58 届年会学术会议摘要集(待定)。 )
- DOI:
- 发表时间:
- 期刊:
- 影响因子:0
- 作者:
- 通讯作者:
Some Considerations on Problems and Solutions of Hanoi Land Subsidence Part II : Risk and Control
关于河内地面沉降问题及解决方案的一些思考第二部分:风险与控制
- DOI:
- 发表时间:2004
- 期刊:
- 影响因子:0
- 作者:Giao;P.H.
- 通讯作者:P.H.
The Study on Uncertainty Modeling and Risk Analysis in Geo-Technical Problems
岩土技术问题的不确定性建模与风险分析研究
- DOI:
- 发表时间:2003
- 期刊:
- 影响因子:0
- 作者:Sirisin Janrungautai
- 通讯作者:Sirisin Janrungautai
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OHTSU Hiroyasu其他文献
An Applicability of electrical prospecting for investigation on change of moisture retention during wetting and dry condition at shallow area of slopes
电法勘探研究斜坡浅层干湿条件下保水性变化的适用性
- DOI:
10.3208/jgs.14.241 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
OHTSU Hiroyasu;KITAOKA Takafumi;BABA Takaaki;PIPATPONGSA Thirapong;ITO Shunichiro;AIZAWA Takao - 通讯作者:
AIZAWA Takao
INFLUENCE OF CHARACTERISTICS OF TRAINING DATA SET ON THE ACCURACY OF ROCK CLASSIFICATION ESTIMATION FOR MOUNTAIN TUNNELS BY ARTIFICIAL NEURAL NETWORK
训练数据集特征对人工神经网络山岭隧道岩石分类估计精度的影响
- DOI:
10.2208/jscejte.75.130 - 发表时间:
2019 - 期刊:
- 影响因子:0
- 作者:
TSUCHIYA Yotaro;KITAOKA Takafumi;HASEGAWA Nobusuke;PIPATPONGSA Thirapong;OHTSU Hiroyasu - 通讯作者:
OHTSU Hiroyasu
OHTSU Hiroyasu的其他文献
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{{ truncateString('OHTSU Hiroyasu', 18)}}的其他基金
A study on the establishment of landslide early warning system against torrential rainfall in Indochina region
中南地区暴雨滑坡预警系统建立研究
- 批准号:
23404011 - 财政年份:2011
- 资助金额:
$ 7.3万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
Investigation on Mechanism of Landslide Caused by Rainfall in Indochina Countries
印度支那国家降雨引发山体滑坡机制调查
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20404009 - 财政年份:2008
- 资助金额:
$ 7.3万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
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