Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya
Abstract Rainwater harvesting reliability, the proportion of days annually when rainwater demand is fully met, is challenging to estimate from cross-sectional household surveys that underpin international monitoring. This study investigated the use of a modelling approach that integrates household s...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-04-01
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| Series: | npj Clean Water |
| Online Access: | https://doi.org/10.1038/s41545-023-00247-9 |
| _version_ | 1827966438599557120 |
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| author | Weiyu Yu Peggy Wanza Emmah Kwoba Thumbi Mwangi Joseph Okotto-Okotto Diogo Trajano Gomes da Silva Jim A. Wright |
| author_facet | Weiyu Yu Peggy Wanza Emmah Kwoba Thumbi Mwangi Joseph Okotto-Okotto Diogo Trajano Gomes da Silva Jim A. Wright |
| author_sort | Weiyu Yu |
| collection | DOAJ |
| description | Abstract Rainwater harvesting reliability, the proportion of days annually when rainwater demand is fully met, is challenging to estimate from cross-sectional household surveys that underpin international monitoring. This study investigated the use of a modelling approach that integrates household surveys with gridded precipitation data to evaluate rainwater harvesting reliability, using two local-scale household surveys in rural Siaya County, Kenya as an illustrative case study. We interviewed 234 households, administering a standard questionnaire that also identified the source of household stored drinking water. Logistic mixed effects models estimated stored rainwater availability from household and climatological variables, with random effects accounting for unobserved heterogeneity. Household rainwater availability was significantly associated with seasonality, storage capacity, and access to alternative improved water sources. Most households (95.1%) that consumed rainwater faced insufficient supply of rainwater available for potable needs throughout the year, with intermittencies during the short rains for most households with alternative improved sources. Although not significant, stored rainwater lasts longer for households whose only improved water source was rainwater (301.8 ± 40.2 days) compared to those having multiple improved sources (144.4 ± 63.7 days). Such modelling analysis could enable rainwater harvesting reliability estimation, and thereby national/international monitoring and targeted follow-up fieldwork to support rainwater harvesting. |
| first_indexed | 2024-04-09T17:50:00Z |
| format | Article |
| id | doaj.art-0d7086c8c0f5461c9dda2a794d7caff0 |
| institution | Directory Open Access Journal |
| issn | 2059-7037 |
| language | English |
| last_indexed | 2024-04-09T17:50:00Z |
| publishDate | 2023-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | npj Clean Water |
| spelling | doaj.art-0d7086c8c0f5461c9dda2a794d7caff02023-04-16T11:05:53ZengNature Portfolionpj Clean Water2059-70372023-04-016111010.1038/s41545-023-00247-9Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, KenyaWeiyu Yu0Peggy Wanza1Emmah Kwoba2Thumbi Mwangi3Joseph Okotto-Okotto4Diogo Trajano Gomes da Silva5Jim A. Wright6School of Ecological Technology and Engineering, Shanghai Institute of Technology, Fengxian campusCentre for Global Health Research, Kenya Medical Research InstituteCentre for Global Health Research, Kenya Medical Research InstituteCentre for Global Health Research, Kenya Medical Research InstituteVictoria Institute for Research on Environment and Development (VIRED) InternationalEnvironmental and Public Health Research and Enterprise Group, School of Applied Sciences, University of BrightonSchool of Geography and Environmental Science, University of SouthamptonAbstract Rainwater harvesting reliability, the proportion of days annually when rainwater demand is fully met, is challenging to estimate from cross-sectional household surveys that underpin international monitoring. This study investigated the use of a modelling approach that integrates household surveys with gridded precipitation data to evaluate rainwater harvesting reliability, using two local-scale household surveys in rural Siaya County, Kenya as an illustrative case study. We interviewed 234 households, administering a standard questionnaire that also identified the source of household stored drinking water. Logistic mixed effects models estimated stored rainwater availability from household and climatological variables, with random effects accounting for unobserved heterogeneity. Household rainwater availability was significantly associated with seasonality, storage capacity, and access to alternative improved water sources. Most households (95.1%) that consumed rainwater faced insufficient supply of rainwater available for potable needs throughout the year, with intermittencies during the short rains for most households with alternative improved sources. Although not significant, stored rainwater lasts longer for households whose only improved water source was rainwater (301.8 ± 40.2 days) compared to those having multiple improved sources (144.4 ± 63.7 days). Such modelling analysis could enable rainwater harvesting reliability estimation, and thereby national/international monitoring and targeted follow-up fieldwork to support rainwater harvesting.https://doi.org/10.1038/s41545-023-00247-9 |
| spellingShingle | Weiyu Yu Peggy Wanza Emmah Kwoba Thumbi Mwangi Joseph Okotto-Okotto Diogo Trajano Gomes da Silva Jim A. Wright Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya npj Clean Water |
| title | Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya |
| title_full | Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya |
| title_fullStr | Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya |
| title_full_unstemmed | Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya |
| title_short | Modelling seasonal household variation in harvested rainwater availability: a case study in Siaya County, Kenya |
| title_sort | modelling seasonal household variation in harvested rainwater availability a case study in siaya county kenya |
| url | https://doi.org/10.1038/s41545-023-00247-9 |
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