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Innovative data services for aquaculture, seismic resilience and drought adaptation in East Africa

Innovative data services for aquaculture, seismic resilience and drought adaptation in East Africa
东非水产养殖、抗震能力和干旱适应的创新数据服务
批准号:
EP/T015462/1
负责人:
Nishan Canagarajah
金额:
$103.1万
依托单位:
依托单位国家:
英国
项目类别:
Research Grant
财政年份:
2019
资助国家:
英国
项目状态:
已结题
起止时间:
2019 至 --

项目摘要

项目成果

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中文摘要
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英文摘要
In this GCTA we propose three projects to tackle significant environmental challenges; earthquakes, droughts and food security in DAC countries in the East African region. Project 1 will focus on seismic risk mitigation in Malawi. In DAC countries, the lack of resources hinders effective seismic mitigation strategies and as a result, earthquakes can result in devastating human and school infrastructure loss. Malawi is one of the countries in the East African region that suffer greatly from this challenge. This is because traditional masonry structures are unreinforced and seismically vulnerable, there is rapid population growth and urbanization, and large earthquakes of M7.0 or greater can occur in the East African Rift (EAR). In Malawi Schools are often the only community buildings in a village and are used as refuges post-disaster. In addition to that, Malawi lack the means to predict seismic risk. To tackle this challenge, we will employ a two-pronged approach. First, we will deploy the seismic risk assessment tools developed as part of the PREPARE project in Malawi. This will enable the reliable assessment of seismic hazard (i.e., the probability that an earthquake will occur in a given geographic area, within a given window of time, and with certain ground motion intensity). Second, we will translate and contextualise the simple, low cost, easy to use tool developed as part of the SAFER project in Nepal for the pre-earthquake assessment of school buildings and the informed prioritization of school strengthening in Malawi. PROJECT 2 will focus on adaptation to droughts in Kenya. Severe water shortage is one of the most pressing development challenges in the East African region, having been struck by 10 droughts since 2000 which led to three severe famines affecting millions of East Africans. As such there is a pressing need for relevant, timely, and practical information about water resources, particularly for rural agro-pastoral populations which are distant from decision-making centres. We propose to develop an App for this purpose. The App will provide users with seasonal forecasts of water scarcity (in the soil and groundwater) with uncertainty estimates at their location, allowing farmers to take appropriate decisions about crop variety for that season for example. PROJECT 3 will focus on improving aquaculture production in Tanzania. The population of Tanzania is projected to increase from 56 million in 2018 to 129 million by 2050, resulting in unprecedented demand for fish protein. Tilapia aquaculture is proposed as an important solution to meet the increased demand. However, it has not yet expanded in line with demand, with access to appropriate broodstock and education cited as key concerns limiting expansion. A key issue is the widespread contamination of ponds by an invasive small-bodied tilapia species (the blue-spotted tilapia), which is indistinguishable as young fish from large bodied species (e.g. Nile tilapia). Elimination of this contamination has been recognised by the Tanzanian Government as a critical step to improve food production as the industry expands. This project will provide environmental DNA-based surveillance information to focus the developing aquaculture sector on large-bodied, high-yielding species, in addition to providing advice and information on where to obtain pure stock and appropriate feed and rearing conditions for favoured large-bodied species.
期刊论文(10)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1016/j.aquaculture.2021.737637
发表时间: 2022-02-15
期刊: Aquaculture (Amsterdam, Netherlands)
影响因子: --
作者: [Ciezarek A, Ford AGP, Etherington GJ, Kasozi N, Malinsky M, Mehta TK, Penso-Dolfin L, Ngatunga BP, Shechonge A, Tamatamah R, Haerty W, Di Palma F, Genner MJ, Turner GF]
通讯作者: Turner GF
Geostatistical Framework for Estimation of VS30 in Data-Scarce Regions
数据稀缺地区 VS30 估算的地统计框架
DOI: 10.1785/0120210266
发表时间: 2022
期刊: Bulletin of the Seismological Society of America
影响因子: 3
作者: [Gilder C]
通讯作者: Gilder C
DOI: 10.1016/j.ijdrr.2021.102655
发表时间: 2021-10-26
期刊: INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
影响因子: 5
作者: [Goda, Katsuichiro, Novelli, Viviana, Voyagaki, Elia]
通讯作者: Voyagaki, Elia
DOI: 10.1016/j.engstruct.2022.114910
发表时间: 2023-01
期刊: Engineering Structures
影响因子: 5.5
作者: [Ted Cross;F. De Luca;Raffaele De Risi;G. Camata;M. Petracca]
通讯作者: Ted Cross;F. De Luca;Raffaele De Risi;G. Camata;M. Petracca
10
    Capital award for core equipment 2019
    • 批准号:
      EP/T023465/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $57.34万
    • 财政年份:
      2020
    • 负责人:
      Nishan Canagarajah
    • 依托单位:
    Supporting Early Career Researchers at the University of Bristol
    • 批准号:
      EP/S018050/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $54.15万
    • 财政年份:
      2018
    • 负责人:
      Nishan Canagarajah
    • 依托单位:
    Equipment to Underpin Internationally Leading Research at the University of Bristol
    • 批准号:
      EP/M028216/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $140.67万
    • 财政年份:
      2015
    • 负责人:
      Nishan Canagarajah
    • 依托单位:
    University of Bristol - Equipment Account
    • 批准号:
      EP/K035746/1
    • 项目类别:
      Research Grant
    • 资助金额:
      $2409.27万
    • 财政年份:
      2013
    • 负责人:
      Nishan Canagarajah
    • 依托单位:
    国内基金
    海外基金
    Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis
    Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
    复杂数据下半参数转换模型及其在老年慢性病发展中的应用研究
    • 批准号:
      72101261
    • 项目类别:
      青年科学基金项目(C类)
    • 资助金额:
      30.0万元
    • 批准年份:
      2021
    • 负责人:
      孙韬
    • 依托单位:
    Development of a Linear Stochastic Model for Wind Field Reconstruction from Limited Measurement Data
    • 批准号:
      --
    • 项目类别:
      --
    • 资助金额:
      40万元
    • 批准年份:
      2020
    • 负责人:
      Vikrant Gupta
    • 依托单位: