Water Poverty Assessment in Olorunsogo Local Government Area of Oyo State, Nigeria

Ifabiyi, Paul Ifatokun; Oladele, Benedict A.; Salau, Wahab

doi:10.19184/geosi.v5i1.13438

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…In this study, using A the status of water resources in different counties of Hamedan Province was evalu The study results show that the AWPI in Hamedan province is in the middle to high w poverty categories. Zarafshani and Saadvandi [44], Forouzani, Karami, Zamani Moghaddam [32], Manandhar, Pandey and Kazama [2,11,49], and Pandey, Manan and Kazama [7] also reported similar results.…”

Section: Discussionmentioning

confidence: 57%

Developing and Analyzing the Agricultural Water Poverty Index in West Iran

et al. 2022

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Currently 60 percent of Iran’s land is located in water-stressed regions, where Hamedan is known as a semi-arid province and is also a province with a high population concentration with a dominant agricultural economy. For analyzing human-related crises we need multidimensional measures and AWPI has a socio-economical dimension and multidimensional criteria for assessing status. Hence, the purpose of the present study was to develop and evaluate the water resources status in the agriculture sector of Hamedan province using AWPI as a typical area in western Iran. The present applied study was conducted to evaluate the status of water poverty in the agriculture sector of Hamedan province using the Agricultural Water Poverty Index (AWPI). This index includes five components: resources, access, use, capacity, and environment. The indicators explaining each of the five components of AWPI were collected from different literature and the data were collected using databases, statistics, and the national census of 2016. A total of five principal components and 55 indicators were developed and were used to evaluate the status of water resources. The value of the composite AWPI was developed by the weighted mean of the five principal components. The data were analyzed using SPSS and GIS software. The components, criteria, and sub-criteria of AWPI were weighted using the principal components analysis. The mean AWPI for Hamedan province was 40.55, which indicates that the province is placed in the middle to high water poverty status and this poverty is mostly due to the components of resources, capacity, access, and use.

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Section: Discussionmentioning

confidence: 57%

Developing and Analyzing the Agricultural Water Poverty Index in West Iran

et al. 2022

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“…In this context, the development of policies and guidelines aimed at territorial planning to improve the water quality in hydrographic basins is necessary, providing sustainable development and the identification of land use and occupation (Asciutti et al 2019). It is crucial that studies like this be conducted since water quality can affect the health and welfare of the community in the long run (Ifabiyi et al 2020). Nunes et al (2019) showed the advantages of using total and thermotolerant coliform indicators as bacteriological markers in aquatic environments; however, their study did not correlate with the satellite images.…”

Section: Introductionmentioning

confidence: 99%

Influence of watershed land use on water quality in the state of Santa Catarina, Brazil

Vieira

Ribeiro

2022

GES

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The inappropriate use of water resources by human actions compromises the balance between natural and anthropogenic factors. In this study, exploratory and field research were conducted with a scope of quantifying, based on satellite imaging, the use and occupation of land on the banks of the Itajaí-Açu River, the largest watercourse in the Itajaí River Basin, located in the State of Santa Catarina, Brazil. Five sampling points were allocated along the river at different times of the year to analyze water quality using chemical and biological indicators. The characterization of land use and occupation was carried out with Sentinel-2B satellite images at 10m resolution and QGIS software. Version 3.6.3 of the R Software was used to consolidate the data. The land use was categorized into several classes, the most representative of which was vegetation, which presented coverage of 34.42%, followed by the pastures and open fields class, with 27.83%, agriculture, with 18.18%, and urban areas, with 16.59% coverage. Our study showed that 62.6% of the river’s base was affected by anthropogenic influence, characterizing an environment severely altered from its normal state. The results obtained in the statistical analysis revealed a directional correlation between land use and water quality, thus indicating that cities on the banks of watercourses are major sources of potential contaminants. Among the classes of land use, the presence of vegetation along the riverside territory attenuated part of the load of pollutants launched into the Itajaí-Açu River. This finding highlights the importance of conserving the vegetation alongside the river to maintain water quality and, consequently, preserve the ecosystem’s biota.

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