Fog Water Harvesting: Quality of Fog Water Collected for Domestic and Agricultural Use

Abdul‐Wahab, Sabah A.; Al-Hinai, Hilal; Al-Najar, Khalid A.; Al-Kalbani, Mohammed Saif

doi:10.1089/ees.2006.06-0066

Cited by 21 publications

(13 citation statements)

References 9 publications

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“…pH values during both the first flush and steady state conditions (measured in a single fog event each) are within the range specified by the WHO and are thus similar to those reported by Gandhidasan and Abualhamayel (2012), Shanyengana et al (2002) and Abdul-Wahab et al (2007b). Schemenauer and Cereceda (1992) and Sträter et al (2010) report much lower (acid) pH values for two Chilean sites.…”

Section: Water Qualitysupporting

confidence: 80%

“…Although fog water generally has higher soluble concentrations than rainwater (Klemm et al, 2012), studies in the Namib dessert (Shanyengana et al, 2002), the Asir region in Saudi Arabia (Gandhidasan and Abualhamayel, 2012) and the Dhofar region in Oman (Abdul-Wahab et al, 2007b) showed the ion concentrations in water obtained from fog collection projects to be within the WHO guidelines for drinking-water quality. However, Schemenauer and Cereceda (1992) found extremely low pH values in fog water from the El Tofo site in Chile.…”

Section: Introductionmentioning

confidence: 98%

“…The study of Park et al (2013) is an example for optimizing meshes at the laboratory scale with the help of a combined hydrodynamic and surface wettability model. Field tests of different materials are rather scarce and were performed by Shanyengana et al (2003), Abdul-Wahab et al (2007b), Fernandez et al (2016) and Feld et al (2016). While both Shanyengana et al (2003) and Fernandez et al (2016) found generally higher yields for the Raschel mesh than for alternate materials, a significant number of intervals is described in Fernandez et al (2016) during which the alternate mesh collected water while the Raschel mesh did not.…”

Section: Introductionmentioning

confidence: 99%

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Testing Water Yield, Efficiency of Different Meshes and Water Quality with a Novel Fog Collector for High Wind Speeds

Schunk

Trautwein²,

Hruschka³

et al. 2018

Aerosol Air Qual. Res.

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Fog harvesting techniques for water collection have been implemented successfully worldwide for several decades. However, at locations with high wind speeds, traditional installations require high maintenance efforts endangering the sustainability of projects. Furthermore, the efficiency of fog collection meshes and the water quality in the field are key questions for the implementation of large-scale facilities. This study presents a novel, durable fog collector design and investigates the yield (fog + rain) and inorganic water quality of different potential collection meshes at a test site in Morocco. The pilot facility proved very reliable with only minimal maintenance required. Rankings of the efficiency of different fog nets were set up, with monofilaments and three-dimensional structures tending to show higher yields than woven fabrics such as the traditional 'Raschel' mesh. However, differences from fog event to fog event could be identified. Water quality was better than that of local wells and met WHO guidelines, except for the 'first flush' just after the start of fog events.

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Section: Water Qualitysupporting

confidence: 80%

Section: Introductionmentioning

confidence: 98%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Testing Water Yield, Efficiency of Different Meshes and Water Quality with a Novel Fog Collector for High Wind Speeds

Schunk

Trautwein²,

Hruschka³

et al. 2018

Aerosol Air Qual. Res.

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“…Four mist nets, ranging in size from 1 to 12 m 2 , were used to collect fog in three locations on Diksam and one location on Momi plateau from July to September 2004. Applying widely used net types, these measurements allow comparisons with the wellstudied fog oasis of Dhofar, Oman (Hildebrandt and Eltahir, 2006;Abdul-Wahab et al, 2007).…”

Section: Fog Collectionmentioning

confidence: 99%

The climate of Socotra Island (Yemen): A first-time assessment of the timing of the monsoon wind reversal and its influence on precipitation and vegetation patterns

Scholte¹,

Geest²

2010

Journal of Arid Environments

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“…Fog is also important from an ecological perspective: In arid and semi-arid regions fog is an important source of humidity, enabling the growth of vegetation (Braun-Blanquet and Bolos, 1957;Caceres et al, 2007). Finally, fog is an important source of water in arid and semi-arid regions, with several technical measures having been developed to harvest water from fog for use 936 S. M. VICENTE- SERRANO ET AL. in irrigation and domestic supply (Caceres et al, 2004;Abdul-Wahab, 2007).…”

Section: Introductionmentioning

confidence: 99%

Comparison of regression techniques for mapping fog frequency: application to the Aragón region (northeast Spain)

Vicente‐Serrano

López‐Moreno

Vega-Rodriguez

et al. 2009

Intl Journal of Climatology

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ABSTRACT:We compare different spatial interpolation techniques in mapping the monthly frequency of fogs in the Aragón region (northeast Spain). The local and spatially complex nature of the fogs makes them more difficult to map than other climatic variables such as precipitation and temperature. We found clear seasonal differences in the quality of the obtained maps. The localized nature of spring and summer fogs, mainly restricted to valley bottoms in mountainous areas, gives rise to several limitations. The modelling of fog frequency is more complex than that of other climate variables; to improve the model predictions, it is necessary to consider topographic variables that simulate the terrain structure. Moreover, the highly complex nature of the relationship between fog frequency and terrain means that simple linear models perform poorly in accounting for the role of geographic and topographic variables in determining the spatial distribution of fog frequency. The inclusion of non-linear relationships between fog frequency and terrain variables in the models following a general additive model (GAM) procedure leads to an improvement in model performance because the flexibility of GAMs enables the inclusion of non-linear relationships and the generation of response-curve shapes that detail the exact relationship between the dependent variable and predictors throughout the entire range of the variable.

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Fog Water Harvesting: Quality of Fog Water Collected for Domestic and Agricultural Use

Cited by 21 publications

References 9 publications

Testing Water Yield, Efficiency of Different Meshes and Water Quality with a Novel Fog Collector for High Wind Speeds

Testing Water Yield, Efficiency of Different Meshes and Water Quality with a Novel Fog Collector for High Wind Speeds

The climate of Socotra Island (Yemen): A first-time assessment of the timing of the monsoon wind reversal and its influence on precipitation and vegetation patterns

Comparison of regression techniques for mapping fog frequency: application to the Aragón region (northeast Spain)

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