Spatio-Temporal Impacts of Lake Victoria Water Level Recession on the Fringing Nyando Wetland, Kenya

Okotto-Okotto, Joseph; Raburu, Phillip O.; Obiero, Kevin; Obwoyere, Gilbert O.; Mironga, John Momanyi; Okotto, Lorna Grace; Raburu, Elizabeth A.

doi:10.1007/s13157-016-0831-y

Cited by 15 publications

(6 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The basin refers to the network of rivers and streams that transport water and nutrients into the lake and is about 193000 km 2 (Awange and Ong'ang'a , 2005;Awange et al, 2008;Mati et al, 2008). It therefore facilitates the livelihood and wellbeing of over 40 million people across 5 countries at a density of over 300 people per km 2 , with this population expecting to triple by the year 2050 (Awange et al, 2019a,b;Okotto-Okotto et al, 2018). Water levels for Lake Victoria are primarily dependent on rainfall (approx.…”

Section: Methodsmentioning

confidence: 99%

Understanding vegetation variability and their ‘‘hotspots’’ within Lake Victoria Basin (LVB: 2003–2018)

et al. 2020

View full text Add to dashboard Cite

Section: Methodsmentioning

confidence: 99%

Understanding vegetation variability and their ‘‘hotspots’’ within Lake Victoria Basin (LVB: 2003–2018)

et al. 2020

View full text Add to dashboard Cite

“…The PBASS village reporter network facilitated participant recruitment, but this community mobilisation resource would typically be lacking elsewhere. The participatory mapping facilitator in our study was also highly experienced, having previously led similar activities elsewhere [23,52], and resources were available for preparing, printing, and digitising hardcopy maps. Thus, a lack of similarly qualified staff, resources, and community trust elsewhere [53] could inhibit uptake of participatory mapping beyond our study site.…”

Section: Plos Onementioning

confidence: 99%

A mixed methods study to evaluate participatory mapping for rural water safety planning in western Kenya

Okotto-Okotto¹,

Kwoba

et al. 2021

PLoS ONE

Self Cite

View full text Add to dashboard Cite

Water safety planning is an approach to ensure safe drinking-water access through comprehensive risk assessment and water supply management from catchment to consumer. However, its uptake remains low in rural areas. Participatory mapping, the process of map creation for resource management by local communities, has yet to be used for rural water safety planning. In this mixed methods study, to evaluate the validity of participatory mapping outputs for rural water safety planning and assess community understanding of water safety, 140 community members in Siaya County, Kenya, attended ten village-level participatory mapping sessions. They mapped drinking-water sources, ranked their safety and mapped potential contamination hazards. Findings were triangulated against a questionnaire survey of 234 households, conducted in parallel. In contrast to source type ranking for international monitoring, workshop participants ranked rainwater’s safety above piped water and identified source types such as broken pipes not explicitly recorded in water source typologies often used for formal monitoring. Participatory mapping also highlighted the overlap between livestock grazing areas and household water sources. These findings were corroborated by the household survey and subsequent participatory meetings. However, comparison with household survey data suggested participatory mapping outputs omitted some water sources and landscape-scale contamination hazards, such as open defecation areas or flood-prone areas. In follow-up visits, participant groups ranked remediation of rainwater harvesting systems as the most acceptable intervention to address hazards. We conclude that participatory mapping can complement other established approaches to rural water safety planning by capturing informally managed source use and facilitating community engagement.

show abstract

“…Lahan basah yang terbentuk secara alami mulai mengalami reklamasi dan konversi menjadi sawah (Liu et al, 2015). Tubuh air yang mengalami penyusutan di permukaan bumi dapat menimbulkan pengurangan kawasan lahan basah sehingga dapat memberikan peluang adanya ketersediaan lahan terbuka untuk kepentingan pertanian (Okotto-Okotto et al, 2016). Lahan basah sering dilanda kekeringan akibat perubahan musim misalkan dari musim kemarau hingga perubahan kondisi lahan akibat kegiatan yang melibatkan campur tangan manusia (Chatterjee et al, 2015).…”

Section: Pendahuluanunclassified

PEMETAAN SEBARAN LAHAN BASAH MENGGUNAKAN FUZZY LOGIC Studi Kasus Di Desa Murung Asam, Kabupaten Hulu Sungai Utara

Ramadhan

Diyono

2019

SNG

View full text Add to dashboard Cite

Lahan basah merupakan lahan yang sensitif serta berbeda dari jenis lahan lainnya karena perubahannya yang secara dinamis. Wilayah di Kabupaten Hulu Sungai Utara, Provinsi Kalimantan selatan merupakan wilayah berawa, namun demikian tidak semua wilayahnya selalu tergenang oleh air atau kering secara periodik. Tujuan dari penelitian ini adalah mengetahui sebaran kawasan lahan basah berdasarkan tingkat kebasahannya menggunakan metode fuzzy logic. Lokasi yang digunakan dalam penelitian ini yaitu Desa Murung Asam, Kabupaten Hulu Sungai Utara yang dikenal memiliki kondisi lingkungan yang hampir sebagian besarnya berupa lahan rawa. Data spasial yang digunakan yaitu band hijau dan band merah yang dimiliki oleh citra satelit resolusi tinggi. Nilai piksel pada masing-masing band menjadi input dalam himpunan fuzzy. Jenis fungsi keanggootaan fuzzy yang digunakan sangat berpengaruh terhadap hasil yang ditampilkan. Sistem inferensi fuzzy Mamdani sebagai sistem yang melakukan penalaran layaknya nalar manusia hingga penarikan kesimpulan berdasarkan kaidah fuzzy. Hasil dari pengolahan citra adalah peta persebaran lahan basah yang dapat menunjukkan prediksi bentuk lahan berdasarkan tingkat kebasahan objek lahan basah dari citra satelit dan masing-masing dinyatakan sebagai fuzzy keanggotaan (0-1).

show abstract

Spatio-Temporal Impacts of Lake Victoria Water Level Recession on the Fringing Nyando Wetland, Kenya

Cited by 15 publications

References 31 publications

Understanding vegetation variability and their ‘‘hotspots’’ within Lake Victoria Basin (LVB: 2003–2018)

Understanding vegetation variability and their ‘‘hotspots’’ within Lake Victoria Basin (LVB: 2003–2018)

A mixed methods study to evaluate participatory mapping for rural water safety planning in western Kenya

PEMETAAN SEBARAN LAHAN BASAH MENGGUNAKAN FUZZY LOGIC Studi Kasus Di Desa Murung Asam, Kabupaten Hulu Sungai Utara

Contact Info

Product

Resources

About