2015
DOI: 10.1016/j.jhydrol.2015.02.025
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Modeled intermittency risk for small streams in the Upper Colorado River Basin under climate change

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Cited by 90 publications
(101 citation statements)
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References 65 publications
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“…In these areas, application of irrigation may be required in order to carry out dry season cropping. This finding is in line with a similar study by Berhanu, Seleshi, Demisse, and Melesse (2015) in Ethiopian rivers, and Reynolds et al (2015) in upper Colorado River basin, USA. The results are also in agreement with those obtained by Ogunkoya (1989), Adejuwon, Jeje, and Ogunkoya (1983), and Ogban and Babalola (2009) in their respective studies in parts of southwest Nigeria.…”
Section: Discussionsupporting
confidence: 93%
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“…In these areas, application of irrigation may be required in order to carry out dry season cropping. This finding is in line with a similar study by Berhanu, Seleshi, Demisse, and Melesse (2015) in Ethiopian rivers, and Reynolds et al (2015) in upper Colorado River basin, USA. The results are also in agreement with those obtained by Ogunkoya (1989), Adejuwon, Jeje, and Ogunkoya (1983), and Ogban and Babalola (2009) in their respective studies in parts of southwest Nigeria.…”
Section: Discussionsupporting
confidence: 93%
“…On the other hand, wetlands of low-sloped terrains (VS and LD valleys) had limited groundwater contribution to surface flows, particularly during the dry periods. They may be perennial or seasonal depending on their slope characteristics, position on the landscape, and other geologic, basin, and climatic conditions (Reynolds, Shafroth, & Poff, 2015). The plots show that Am and VS inland valley types had perennial surface water with water levels above 0-cm stage (ground surface) throughout the year.…”
Section: Discussionmentioning
confidence: 99%
“…Future changes of hydrological variables are larger in the dry season (November -April) than in the wet season (May -October) of the three river systems, the Ganges, Brahmaputra and Meghna in Bangladesh (Masood et al 2015). The perennial streams in the Upper Colorado River Basin in the USA that have high minimum-flow variability and low mean flows are likely to be most susceptible to increasing streamflow intermittency in the future (Reynolds et al 2015).…”
Section: Discussionmentioning
confidence: 99%
“…Random forests is a non-linear, multi-variate classification and regression process that uses a collection of independent decision trees to produce robust (low variance) and low bias predictions [24]. Random forests methods are popular classification tools in ecological studies (for example [25][26][27]), and are being used more frequently in hydrologic investigations (for example [28][29][30][31][32][33]). Random forests methods have advantages over other modeling methods, such as regression, in that they do not require data to be transformed, can use categorical data, can autonomously fit non-linear relations, and can automatically incorporate interactions between explanatory variables [24,34].…”
mentioning
confidence: 99%
“…Water 2018, 10, x FOR PEER REVIEW 3 of 17 used more frequently in hydrologic investigations (for example [28][29][30][31][32][33]). Random forests methods have advantages over other modeling methods, such as regression, in that they do not require data to be transformed, can use categorical data, can autonomously fit non-linear relations, and can automatically incorporate interactions between explanatory variables [24,34].…”
mentioning
confidence: 99%