洪水对尼日利亚巴耶尔萨州洪水易发地区居民社会经济地位的影响

Ozigbu Johnbosco C, O. A., M. E.
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引用次数: 1

摘要

本研究调查了洪水对尼日利亚巴耶尔萨州洪水易发地区居民社会经济地位的影响。该研究具体描述了受访者的社会经济特征;检查洪水对受访者的社会经济变量的影响;并确定在洪水易发地区减少洪水影响的方法。采用多阶段抽样技术,选取巴耶尔萨州6个洪水易发社区,每个社区随机抽取20名调查对象,总样本量为120名。主要数据来源于问卷调查。使用描述性统计工具进行分析。调查结果显示,54.2%的被调查者年龄在31 ~ 40岁之间,平均年龄32岁;它们不分性别,男性占55.8%,女性占44.2%。54.2%的人已婚,41.6%的人受过教育,54.2%的人家庭规模在4-6人之间。50.8%、39.1%和33.3%的受访者认为洪涝灾害对收入、耕地和粮食不安全的影响非常大;造船业、房屋业、商业中心业、路边业、塘钓业等传统工艺占比较高,分别为38.3%、32.5%、33.3%、43.3%和31.6%;当地工业如酒精配制、畜牧业、培训中心、渔业(手工)、建筑工程和加工业的平均比例分别为50.8%、46.7%、45.5%、31.6%、50%和33.3%;教育机构、卫生、水、商品(食品)价格、当地营销和运输非常高,分别为46.7%、33.3%、43.3%、32.5%、39.4%和46.7%;这意味着由于洪水效应,它们的社会经济变量产出将非常低(成反比关系)。此外,结果表明,所有受访者都同意所列出的方法是减少洪水易发地区洪水影响的方法,标准平均得分> 2.50。研究认为,洪水对被调查者的社会经济变量有不利影响。建议在受影响社区周围修建抗灾墙、涵洞和排水渠道,填海造地,为居民提供高架建筑基础,政府干预应对计划和标准道路网络。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implications of Flooding on the Socio-Economic Status of Residents in Flood Prone Areas in Bayelsa State, Nigeria
This study examined the implications of flooding on the socio-economic status of residents in flood prone areas in Bayelsa State, Nigeria. The study specifically described the socio-economic characteristics of the respondents; examine the effects of flooding on the socio-economic variables of the respondents; and identify the approaches to curtail flooding effects in flood prone areas. A multistage sampling technique was employed in the selection of six flood prone communities in Bayelsa State, and 20 respondents were randomly selected from each community given a total of 120 respondents as the sample size. Primary data were sourced through questionnaires. Descriptive statistical tools were used for the analysis. The findings showed that 54.2% of the respondents were between the age range of 31-40 years with a mean age of 32 years; they are gender inexclusive with male having 55.8% and female 44.2%. 54.2% were married, most of them are literate with 41.6%, and 54.2% had household size between the range of 4-6 persons. 50.8%, 39.1% and 33.3% of the respondents agreed that the effect of flooding on income, farmland and food insecurity respectively were very high; Traditional crafts like boat building, houses, business centers, roadsided businesses and pond fishing were high with 38.3%, 32.5%, 33.3%, 43.3% and 31.6% respectively; local industries like alcohol preparation, animal husbandry, training centers, fishery (artisanal), construction works and processing industries were average with 50.8%, 46.7%, 45.5%, 31.6%, 50% and 33.3% respectively; educational institutions, health, water, price of commodities (food produce), local marketing and transportation were very high with 46.7%, 33.3%, 43.3%, 32.5%, 39.4% and 46.7%; implying that their socio-economic variables output will be very low ( an inverse relationship) as a result of flooding effect. Furthermore, the results showed that all respondents agreed with the listed approaches as ways to curtail the effects of flood in flood prone areas, with a criterion mean score of > 2.50. The study concluded that flood have adverse effect on socio-economic variables of the respondents. It was recommended that, building of resilience walls, culverts and drainage channels around the affected communities, land reclamation, elevated foundation of building for residents, government intervention responses plans and standard road network should be provided.
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