2006
DOI: 10.1080/07900620600654785
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Water Management in ArRiyadh

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Cited by 11 publications
(8 citation statements)
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“…For this simulation, the total Saudi Arabia's water demand for 2025 is divided by into the three main sectors-agriculture, industries, and households, given that agriculture accounts for 88% water use in Saudi Arabia with 3% usage by industries and 9% usage by households (Abderrahman, 2006). Thus, there are three nodes representing agriculture, industry, and household with consumption c j of 876.41 , respectively.…”
Section: The Resultsmentioning
confidence: 99%
“…For this simulation, the total Saudi Arabia's water demand for 2025 is divided by into the three main sectors-agriculture, industries, and households, given that agriculture accounts for 88% water use in Saudi Arabia with 3% usage by industries and 9% usage by households (Abderrahman, 2006). Thus, there are three nodes representing agriculture, industry, and household with consumption c j of 876.41 , respectively.…”
Section: The Resultsmentioning
confidence: 99%
“…Increasing costs to producers, however, would place further strain on the finances of water utilities. Under the current cost structure, total annual revenues do not exceed 2.5% of annual expenditure (Abderrahman, 2007), with most revenues coming from the industrial sector, as residents pay less than USD 0.05/m 3 (Zetland, 2014). For this reason, any shift to more expensive solar desalination technologies is likely to be politically sensitive.…”
Section: Conclusion and Policy Implicationsmentioning
confidence: 99%
“…Besides the barrier effect induced by the occurrence of underground structures across groundwater flow, some modification of the water budget may be caused by the interaction between groundwater and these underground structures (Morris et al, 2003;Attard et al, 2016). For instance, leaky sewer and water supply plumbing networks may act as recharge (Abderrahman, 2006) or drain (in the case of sewers), limiting the water table rising above the structure (Dassargues, 1997). Generally speaking, human settlement nearby fluvial environments results in significant SW and GW decline due to pumping wells for domestic and industrial usages, as well as for underground structure protection and the construction of un-derground infrastructures (Machiwal et al, 2018;Schirmer et al, 2013).…”
Section: Introductionmentioning
confidence: 99%
“…The main linear estimators are inverse distance weighting (Gambolati and Volpi, 1979;Philip and Watson, 1986;Rouhani, 1986;Buchanan and Triantafilis, 2009;Sun et al, 2009) and influence polygon or moving average (Vicente-Serrano et al, 2003). These different methodologies were compared in several studies and kriging was found to be a better estimator in terms of cross-validation and performance than the other linear interpolators (Varouchakis and Hristopulos, 2013;Emadi and Baghernejad, 2014;Adhikary and Dash, 2017;Ohmer et al, 2017) . Although the linear estimation methods provide unbiased results, they do not account for the spatial heterogeneity of the sample distribution.…”
Section: Introductionmentioning
confidence: 99%