2019
DOI: 10.3390/w11040733
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Dew Yield and Its Influencing Factors at the Western Edge of Gurbantunggut Desert, China

Abstract: Dew is a significant water resource in arid desert areas. However, information regarding dew is scarce because it is difficult to measure due to the harsh environment of locations such as Gurbantunggut Desert, China. In this study, a non-destructive field experiment was conducted from 2015 to 2018 at a desert test station located in the western edge of the Gurbantunggut Desert, using a calibrated leaf wetness sensor (LWS) to measure dew yield. The results are as follows: (1) Dew formed after sunset with the at… Show more

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Cited by 21 publications
(14 citation statements)
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References 62 publications
(100 reference statements)
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“…Empirical models are based on empirical relationships and have simple structures and few input variables (Davis, 1957;Francl & Panigrahi, 1997;Jacobs et al, 2002;Jia et al, 2019;Lekouch et al, 2012;, but these models have poor accuracy and are site-dependent. In contrast, physical models are based on physical mechanisms with high accuracy, but they are relatively complex and require multiple input variables (Beysens, 2006(Beysens, , 2016Madeira et al, 2002;Maestre-Valero et al, 2011).…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Empirical models are based on empirical relationships and have simple structures and few input variables (Davis, 1957;Francl & Panigrahi, 1997;Jacobs et al, 2002;Jia et al, 2019;Lekouch et al, 2012;, but these models have poor accuracy and are site-dependent. In contrast, physical models are based on physical mechanisms with high accuracy, but they are relatively complex and require multiple input variables (Beysens, 2006(Beysens, , 2016Madeira et al, 2002;Maestre-Valero et al, 2011).…”
Section: Discussionmentioning
confidence: 99%
“…Most prediction models for the amount and duration of dew were developed for and employed in humid regions (Beysens et al, 2005;Davis, 1957;Francl & Panigrahi, 1997;Gleason et al, 1994;Lhomme & Francisco Jimenez, 1992;Madeira et al, 2002;Maestre-Valero et al, 2011;Pedro & Gillespie, 1981a, 1981bRichards, 2009), but few studies have been conducted in arid and semi-arid regions (Beysens, 2016;Crowe et al, 1978;Gandhidasan & Abualhamayel, 2005), especially in deserts (Jacobs et al, 2002;Jia et al, 2019;Lekouch et al, 2012). Plausible reasons for this include: (a) Input variables, such as meteorological data near the study area, are not accessible or available; (b) the parameters of empirical models have high uncertainty and are difficult to control, meaning that they cannot be generalized to other regions unless first calibrated to local climate conditions (Beysens, 2016;Kidron, 1999); and (c) physical models cannot fully reflect the physical mechanism of dew formation due to intrinsic limitations.…”
Section: Predictions Of Dew Moisture Regimementioning
confidence: 99%
“…Zhuang et al [60] reported that dew is a key source of water for sand-fixing plants in desert oases. Jia et al [61] stated that dew is a slightly stable water resource to maintain the biodiversity for the arid desert areas. Additional research suggests that dew is a stable and sustainable non-rainfall water supply to agriculture [62][63][64].…”
Section: Layered Soil Moisture Characteristicsmentioning
confidence: 99%
“…The experimental sites are located in the irrigated areas of the Shihezi reclamation area in Xinjiang Province (Figure 1). The climate of the study area is typical arid [26]. The average annual precipitation and potential evaporation are 148 and 1900 mm respectively.…”
Section: Introductionmentioning
confidence: 99%