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Use of remote sensing and terrain modelling to identify suitable zones for manual drilling in Africa and support low cost water supply

Use of remote sensing and terrain modelling to identify suitable zones for manual drilling in Africa and support low cost water supply
利用遥感和地形建模来确定非洲适合手动钻井的区域并支持低成本供水
批准号:
NE/L002167/1
负责人:
Roberto Colombo
金额:
$18.69万
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2013
资助国家:
英国
项目状态:
已结题
起止时间:
2013 至 --

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中文摘要
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英文摘要
In the framework of the programme for the achievement of MDG (MIllenium Development Goals) for water supply, UNICEF is promoting manual drilling throughout Africa; with different activities: advocacy, mapping of suitable zones, technical training and institutional support.Manual drilling refers to those techniques of drilling boreholes for groundwater exploitation using human or animal power (not mechanized equipment). These techniques are well known in countries with large alluvial deposits (India, Nepal, Bangladesh, etc). They are cheaper than mechanized boreholes, easy to implement as the equipment is locally done, able to provide clean water if correctly applied.But manual drilling is feasible only where suitable hydrogeological conditions are (shallow layers not to hard and groundwater not deeper than 25 m). Therefore a preliminary identification of suitable areas is necessary. The method for the identification of suitable zones at country levelalready aplied in 15 countries is based on the analysis of existing hydrogeological data. But an improved approach to have more reliable interpretation and more detailed analysis of the hydrogeological contex is required.The proposed research aims:- to contribute to define an improved methodology for the characterization of shallow geological conditions integrating other sources of indirect data- to produce more detailed suitability maps in the selected area, with the goal of supporting the implementation of manual drilling construction program.The research involves the collaboration of research centres and institutional partners in Italy, Senegal and Guinea. In particular these entities will participate:Univeristy of Milano Bicocca (Italy)University CHeick Anta Diop in Dakar (Senegal)UNICEF Senegal country officeUNICEF GUinea country officeSNAPE (National Water Authority) GuineaSchool of MInes Boke' - Guinea)
期刊论文(7)
专著(0)
科研奖励(0)
会议论文
Identification of suitable zones for manual drilling using borehole data, thematic maps and remote sensing
利用钻孔数据、专题地图和遥感识别适合手动钻井的区域
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者: [Fussi F.]
通讯作者: Fussi F.
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者: [Fussi F.]
通讯作者: Fussi F.
Integration of Remote Sensing and other public GIS data source to identify suitable zones for groundwater exploitation by manual drilling
整合遥感和其他公共地理信息系统数据源,以确定手动钻探地下水开采的合适区域
DOI: --
发表时间:
期刊:
影响因子: --
作者: [Fussi F.]
通讯作者: Fussi F.
Tangafric: a software for the estimation of textural and hydraulic properties in shallow aquifers from well logs in Senegal and Guinea
Tangafric:用于根据塞内加尔和几内亚测井估算浅层含水层结构和水力特性的软件
DOI: --
发表时间: 2014
期刊:
影响因子: --
作者: [Fussi F.]
通讯作者: Fussi F.
7
    国内基金
    海外基金
    Identification and quantification of primary phytoplankton functional types in the global oceans from hyperspectral ocean color remote sensing
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      160万元
    • 批准年份:
      2022
    • 负责人:
      李忠平
    • 依托单位:
    低纬度边缘海颗粒有机碳的卫星遥感算法研究
    • 批准号:
      41076114
    • 项目类别:
      面上项目
    • 资助金额:
      54.0万元
    • 批准年份:
      2010
    • 负责人:
      王海黎
    • 依托单位: