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Volumn 29, Issue 10, 2015, Pages 3877-3890

The influence of land cover, vertical structure, and socioeconomic factors on outdoor water use in a Western US City

Author keywords

Colorado; GIS; Irrigation; Lidar; Remote sensing; Urban water

Indexed keywords

DECISION TREES; GEOGRAPHIC INFORMATION SYSTEMS; HOUSING; IRRIGATION; OPTICAL RADAR; POPULATION STATISTICS; RANDOM FORESTS; REMOTE SENSING; SURVEYS; WATER CONSERVATION;

EID: 85027955570     PISSN: 09204741     EISSN: 15731650     Source Type: Journal    
DOI: 10.1007/s11269-015-1034-7     Document Type: Article
Times cited : (21)

References (55)
  • 1
    • 0037345446 scopus 로고    scopus 로고
    • Estimation of residential water demand: A state-of-the-art review
    • Arbués F, García-Valiñas MA, Martínez-Espiñeira R (2003) Estimation of residential water demand: a state-of-the-art review. J Socio-Econ 32:81–102. doi:10.1016/S1053-5357(03)00005-2
    • (2003) J Socio-Econ , vol.32 , pp. 81-102
    • Arbués, F.1    García-Valiñas, M.A.2    Martínez-Espiñeira, R.3
  • 2
    • 70450280593 scopus 로고    scopus 로고
    • Estimating future residential water consumption in Phoenix, Arizona based onsimulated changes in climate
    • Balling RC, Cubaque HC (2009) Estimating future residential water consumption in Phoenix, Arizona based on simulated changes in climate. Phys Geogr 30:308–323
    • (2009) Phys Geogr , vol.30 , pp. 308-323
    • Balling, R.C.1    Cubaque, H.C.2
  • 3
    • 57149106945 scopus 로고    scopus 로고
    • Sensitivity of residential water consumption to variations in climate: Anintraurban analysis of Phoenix, Arizona
    • Balling RC, Gober P, Jones N (2008) Sensitivity of residential water consumption to variations in climate: an intraurban analysis of Phoenix, Arizona. Water Resour Res 44:10401. doi:10.1029/2007wr006722
    • (2008) Water Resour Res , vol.44 , pp. 10401
    • Balling, R.C.1    Gober, P.2    Jones, N.3
  • 5
    • 84879529528 scopus 로고    scopus 로고
    • Patterns in residential urban forest structure along a synthetic urbanizationgradient
    • Berland A, Manson SM (2013) Patterns in residential urban forest structure along a synthetic urbanization gradient. Ann Assoc Am Geogr 103:749–763. doi:10.1080/00045608.2013.782598
    • (2013) Ann Assoc am Geogr , vol.103 , pp. 749-763
    • Berland, A.1    Manson, S.M.2
  • 6
    • 77954540318 scopus 로고    scopus 로고
    • Landscape, vegetation characteristics, and groupidentity in an urban and suburban watershed: Why the 60’s matter
    • Boone C, Cadenasso M, Grove J, Schwarz K, Buckley G (2010) Landscape, vegetation characteristics, and group identity in an urban and suburban watershed: why the 60’s matter. Urban Ecosyst 13:255–271. doi:10.1007/s11252-009-0118-7
    • (2010) Urban Ecosyst , vol.13 , pp. 255-271
    • Boone, C.1    Cadenasso, M.2    Grove, J.3    Schwarz, K.4    Buckley, G.5
  • 7
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman L (2001) Random forests. Mach Learn 45:5–32
    • (2001) Mach Learn , vol.45 , pp. 5-32
    • Breiman, L.1
  • 8
    • 6344240875 scopus 로고    scopus 로고
    • Market prices for water in the semiarid west of theUnited States
    • Brookshire DS, Colby B, Ewers M, Ganderton PT (2004) Market prices for water in the semiarid west of the United States. Water Resour Res 40:4. doi:10.1029/2003wr002846
    • (2004) Water Resour Res , vol.40 , pp. 4
    • Brookshire, D.S.1    Colby, B.2    Ewers, M.3    Ganderton, P.T.4
  • 9
    • 33750376960 scopus 로고    scopus 로고
    • Trends in water market activity and price in the western United States
    • Brown TC (2006) Trends in water market activity and price in the western United States. Water Resour Res 42: 9402. doi:10.1029/2005wr004180
    • (2006) Water Resour Res , vol.42 , pp. 9402
    • Brown, T.C.1
  • 10
    • 84857642788 scopus 로고    scopus 로고
    • Residential landscapes as social-ecological systems: A synthesis of multi-scalar interactions between people and their home environment
    • Cook EM, Hall SJ, Larson KL (2012) Residential landscapes as social-ecological systems: a synthesis of multi-scalar interactions between people and their home environment. Urban Ecosyst 15:19–52. doi:10.1007/s11252-011-0197-0
    • (2012) Urban Ecosyst , vol.15 , pp. 19-52
    • Cook, E.M.1    Hall, S.J.2    Larson, K.L.3
  • 11
    • 77749254618 scopus 로고    scopus 로고
    • What lies behind domestic water use?: A review essay on the drivers of domesticwater consumption
    • Corbella HM, Pujol DS (2009) What lies behind domestic water use?: a review essay on the drivers of domestic water consumption. Bol Asoc Geógrafos Esp 50:297–314
    • (2009) Bol Asoc Geógrafos Esp , vol.50 , pp. 297-314
    • Corbella, H.M.1    Pujol, D.S.2
  • 12
    • 84902316699 scopus 로고    scopus 로고
    • Spatial determinants of urban residential water demand in Fortaleza, Brazil
    • de Maria André D, Carvalho J (2014) Spatial determinants of urban residential water demand in Fortaleza, Brazil. Water Resour Manag 28:2401–2414. doi:10.1007/s11269-014-0551-0
    • (2014) Water Resour Manag , vol.28 , pp. 2401-2414
    • De Maria André, D.1    Carvalho, J.2
  • 13
    • 30644464444 scopus 로고    scopus 로고
    • Gene selection and classification of microarray data using randomforest
    • Diaz-Uriarte R, Alvarez de Andres S (2006) Gene selection and classification of microarray data using random forest. BMC Bioinf 7:3. doi:10.1186/1471-2105-7-3
    • (2006) BMC Bioinf , vol.7 , pp. 3
    • Diaz-Uriarte, R.1    De Alvarez Andres, S.2
  • 14
    • 0037210534 scopus 로고    scopus 로고
    • Vegetation in the urban environment: Microclimatic analysis and benefits
    • Dimoudi A, Nikolopoulou M (2003) Vegetation in the urban environment: microclimatic analysis and benefits. Energy Build 35:69–76. doi:10.1016/S0378-7788(02)00081-6
    • (2003) Energy Build , vol.35 , pp. 69-76
    • Dimoudi, A.1    Nikolopoulou, M.2
  • 16
    • 84879719721 scopus 로고    scopus 로고
    • A strategic program for transitioning to a water sensitive city
    • Ferguson BC, Frantzeskaki N, Brown RR (2013) A strategic program for transitioning to a water sensitive city. Landsc Urban Plan 117:32–45. doi:10.1016/j.landurbplan.2013.04.016
    • (2013) Landsc Urban Plan , vol.117 , pp. 32-45
    • Ferguson, B.C.1    Frantzeskaki, N.2    Brown, R.R.3
  • 17
    • 84867487895 scopus 로고    scopus 로고
    • Determinants of household water conservation: The role ofdemographic, infrastructure, behavior, and psychosocial variables
    • Fielding KS, Russell S, Spinks A, Mankad A (2012) Determinants of household water conservation: the role of demographic, infrastructure, behavior, and psychosocial variables. Water Resour Res 48:10510. doi:10. 1029/2012wr012398
    • (2012) Water Resour Res , vol.48 , pp. 10510
    • Fielding, K.S.1    Russell, S.2    Spinks, A.3    Mankad, A.4
  • 18
    • 60849106247 scopus 로고    scopus 로고
    • Spatial analysis of water use in Oregon, USA, 1985–2005
    • Franczyk J, Chang H (2009) Spatial analysis of water use in Oregon, USA, 1985–2005. Water Resour Manag 23: 755–774. doi:10.1007/s11269-008-9298-9
    • (2009) Water Resour Manag , vol.23 , pp. 7
    • Franczyk, J.1    Chang, H.2
  • 20
    • 84977363017 scopus 로고
    • The analysis of spatial association by use of distance statistics
    • Getis A, Ord JK (1992) The analysis of spatial association by use of distance statistics. Geogr Anal 24:189–206
    • (1992) Geogr Anal , vol.24 , pp. 189-206
    • Getis, A.1    Ord, J.K.2
  • 21
    • 67849084978 scopus 로고    scopus 로고
    • Water-use patterns of tall fescue and hybrid bluegrass cultivarssubjected to ET-based irrigation scheduling
    • Githinji LJM, Dane JH, Walker RH (2009) Water-use patterns of tall fescue and hybrid bluegrass cultivars subjected to ET-based irrigation scheduling. Irrig Sci 27:377–391. doi:10.1007/s00271-009-0153-4
    • (2009) Irrig Sci , vol.27 , pp. 377-391
    • Githinji, L.1    Dane, J.H.2    Walker, R.H.3
  • 22
    • 80052553740 scopus 로고    scopus 로고
    • Determinants of residential water consumption: Evidence andanalysis from a 10-country household survey
    • Grafton RQ, Ward MB, To H, Kompas T (2011) Determinants of residential water consumption: evidence and analysis from a 10-country household survey. Water Resour Res 47:8537. doi:10.1029/2010wr009685
    • (2011) Water Resour Res , vol.47 , pp. 8537
    • Grafton, R.Q.1    Ward, M.B.2    To, H.3    Kompas, T.4
  • 23
    • 84876300410 scopus 로고    scopus 로고
    • Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests
    • Guan H, Li J, Chapman M, Deng F, Ji Z, Yang X (2013) Integration of orthoimagery and lidar data for object-based urban thematic mapping using random forests. Int J Remote Sens 34:5166–5186. doi:10.1080/01431161.2013.788261
    • (2013) Int J Remote Sens , vol.34 , pp. 5166-5186
    • Guan, H.1    Li, J.2    Chapman, M.3    Deng, F.4    Ji, Z.5    Yang, X.6
  • 25
    • 84871787788 scopus 로고    scopus 로고
    • A new variable selection approach using random forests
    • Hapfelmeier A, Ulm K (2013) A new variable selection approach using random forests. Comput Stat Data Anal 60:50–69. doi:10.1016/j.csda.2012.09.020
    • (2013) Comput Stat Data Anal , vol.60 , pp. 50-69
    • Hapfelmeier, A.1    Ulm, K.2
  • 26
    • 70449469185 scopus 로고    scopus 로고
    • Household water consumption in an arid city: Affluence,affordance, and attitudes
    • Harlan SL, Yabiku ST, Larsen L, Brazel AJ (2009) Household water consumption in an arid city: affluence, affordance, and attitudes. Soc Nat Resour 22:691–709. doi:10.1080/08941920802064679
    • (2009) Soc Nat Resour , vol.22 , pp. 691-709
    • Harlan, S.L.1    Yabiku, S.T.2    Larsen, L.3    Brazel, A.J.4
  • 29
    • 79958021201 scopus 로고    scopus 로고
    • Urban water demand modeling: Review of concepts, methods, and organizingprinciples
    • House-Peters LA, Chang H (2011) Urban water demand modeling: review of concepts, methods, and organizing principles. Water Resour Res 47:5401. doi:10.1029/2010wr009624
    • (2011) Water Resour Res , vol.47 , pp. 5401
    • House-Peters, L.A.1    Chang, H.2
  • 30
    • 77954618777 scopus 로고    scopus 로고
    • Effects of urban spatial structure, sociodemographics, and climate onresidential water consumption in Hillsboro, Oregon
    • House-Peters L, Pratt B, Chang H (2010) Effects of urban spatial structure, sociodemographics, and climate on residential water consumption in Hillsboro, Oregon. J Am Water Resour Assoc 46:461–472. doi:10.1111/j.1752-1688.2009.00415.x
    • (2010) J am Water Resour Assoc , vol.46 , pp. 461-472
    • House-Peters, L.1    Pratt, B.2    Chang, H.3
  • 31
    • 84883811120 scopus 로고    scopus 로고
    • Spatial patterns and policy implications for residential water use: An example using Kelowna,British Columbia
    • Janmaat J (2013) Spatial patterns and policy implications for residential water use: an example using Kelowna, British Columbia. Water Resour Econ 1:3–19. doi:10.1016/j.wre.2013.03.003
    • (2013) Water Resour Econ , vol.1 , pp. 3-19
    • Janmaat, J.1
  • 32
    • 42049083568 scopus 로고    scopus 로고
    • Residential water demand management: Lessonsfrom Aurora, Colorado
    • Kenney DS, Goemans C, Klein R, Lowrey J, Reidy K (2008) Residential water demand management: lessons from Aurora, Colorado. J Am Water Resour Assoc 44:192–207. doi:10.1111/j.1752-1688.2007.00147.x
    • (2008) J am Water Resour Assoc , vol.44 , pp. 192-207
    • Kenney, D.S.1    Goemans, C.2    Klein, R.3    Lowrey, J.4    Reidy, K.5
  • 33
    • 78650304740 scopus 로고    scopus 로고
    • The influence of diverse values, ecological structure, andgeographic context on residents’ multifaceted landscaping decisions
    • Larson K, Cook E, Strawhacker C, Hall S (2010) The influence of diverse values, ecological structure, and geographic context on residents’ multifaceted landscaping decisions. Hum Ecol 38:747–761. doi:10.1007/ s10745-010-9359-6
    • (2010) Hum Ecol , vol.38 , pp. 747-761
    • Larson, K.1    Cook, E.2    Strawhacker, C.3    Hall, S.4
  • 35
    • 0345040873 scopus 로고    scopus 로고
    • Classification and regression by random forest
    • Liaw A, Wiener M (2002) Classification and regression by random forest. R News 2:18–22
    • (2002) R News , vol.2 , pp. 18-22
    • Liaw, A.1    Wiener, M.2
  • 36
    • 84911383068 scopus 로고    scopus 로고
    • Adding trees to irrigated turfgrass lawns may be a water-saving measurein semi-arid environments
    • Litvak E, Bijoor NS, Pataki DE (2014) Adding trees to irrigated turfgrass lawns may be a water-saving measure in semi-arid environments. Ecohydrology 7:1314–1330. doi:10.1002/eco.1458
    • (2014) Ecohydrology , vol.7 , pp. 1314-1330
    • Litvak, E.1    Bijoor, N.S.2    Pataki, D.E.3
  • 38
    • 0026437829 scopus 로고
    • Estimating urban residential water demand - effects of price structure, conservation,and education
    • Nieswiadomy ML (1992) Estimating urban residential water demand - effects of price structure, conservation, and education. Water Resour Res 28:609–615. doi:10.1029/91wr02852
    • (1992) Water Resour Res , vol.28 , pp. 609-615
    • Nieswiadomy, M.L.1
  • 39
    • 84987081464 scopus 로고
    • The energetic basis of the urban heat island
    • Oke TR (1982) The energetic basis of the urban heat island. Q J R Meteorol Soc 108:1–24
    • (1982) Q J R Meteorol Soc , vol.108 , pp. 1-24
    • Oke, T.R.1
  • 40
    • 0024923709 scopus 로고
    • The micrometeorology of the urban forest
    • Oke TR (1989) The micrometeorology of the urban forest. Philos Trans R Soc Lond B Biol Sci 324:335–349
    • (1989) Philos Trans R Soc Lond B Biol Sci , vol.324 , pp. 335-349
    • Oke, T.R.1
  • 43
    • 77951018423 scopus 로고    scopus 로고
    • Seasonal residential water demand forecasting for census tracts
    • Polebitski AS, Palmer RN (2009) Seasonal residential water demand forecasting for census tracts. J Water Resour Plan Manag 136:27–36
    • (2009) J Water Resourplan Manag , vol.136 , pp. 27-36
    • Polebitski, A.S.1    Palmer, R.N.2
  • 45
    • 84860477581 scopus 로고    scopus 로고
    • Simulating the impact of pricing policies on residential waterdemand: A Southern France case study
    • Rinaudo J-D, Neverre N, Montginoul M (2012) Simulating the impact of pricing policies on residential water demand: a Southern France case study. Water Resour Manag 26:2057–2068
    • (2012) Water Resour Manag , vol.26 , pp. 2057-2068
    • Rinaudo, J.-D.1    Neverre, N.2    Montginoul, M.3
  • 46
    • 79958027299 scopus 로고    scopus 로고
    • Water demand management research: A psychological perspective
    • Russell S, Fielding K (2010) Water demand management research: a psychological perspective. Water Resour Res 46:5302. doi:10.1029/2009wr008408
    • (2010) Water Resourres , vol.46 , pp. 5302
    • Russell, S.1    Fielding, K.2
  • 47
    • 79960251591 scopus 로고    scopus 로고
    • The influence of trees and grass on outdoor thermal comfort in ahot-arid environment
    • Shashua-Bar L, Pearlmutter D, Erell E (2011) The influence of trees and grass on outdoor thermal comfort in a hot-arid environment. Int J Climatol 31:1498–1506. doi:10.1002/joc.2177
    • (2011) Int J Climatol , vol.31 , pp. 1498-1506
    • Shashua-Bar, L.1    Pearlmutter, D.2    Erell, E.3
  • 48
    • 78649527511 scopus 로고    scopus 로고
    • Importance of structure and its measurement in quantifying function of forestecosystems
    • Shugart H, Saatchi S, Hall F (2010) Importance of structure and its measurement in quantifying function of forest ecosystems. J Geophys Res (G Biogeosci) 115. doi:10.1029/2009JG000993
    • (2010) J Geophys Res (G Biogeosci) , pp. 115
    • Shugart, H.1    Saatchi, S.2    Hall, F.3
  • 49
    • 0024162618 scopus 로고
    • Perception and aesthetics of the urban environment: Review of the role of vegetation
    • Smardon RC (1988) Perception and aesthetics of the urban environment: review of the role of vegetation. Landsc Urban Plan 15:85–106. doi:10.1016/0169-2046(88)90018-7 St.
    • (1988) Landsc , vol.15 , pp. 85-106
    • Smardon, R.C.1
  • 51
    • 33847096395 scopus 로고    scopus 로고
    • Bias in random forest variable importance measures: Illustrations, sources and a solution
    • Strobl C, Boulesteix A-L, Zeileis A, Hothorn T (2007) Bias in random forest variable importance measures: illustrations, sources and a solution. BMC Bioinf 8:1–21. doi:10.1186/1471-2105-8-25
    • (2007) BMC Bioinf , vol.8 , pp. 1-21
    • Strobl, C.1    Boulesteix, A.-L.2    Zeileis, A.3    Hothorn, T.4
  • 52
    • 72449170109 scopus 로고    scopus 로고
    • An introduction to recursive partitioning: Rationale, application and characteristics of classification and regression trees, bagging and random forests
    • Strobl C, Malley J, Tutz G (2009) An introduction to recursive partitioning: rationale, application and characteristics of classification and regression trees, bagging and random forests. Psychol Methods 14:323–348. doi:10.1037/a0016973
    • (2009) Psychol Methods , vol.14 , pp. 323-348
    • Strobl, C.1    Malley, J.2    Tutz, G.3
  • 53
    • 34548256649 scopus 로고    scopus 로고
    • Determinants of small-area water consumption for the city of Phoenix, Arizona
    • Wentz EA, Gober P (2007) Determinants of small-area water consumption for the city of Phoenix, Arizona. Water Resour Manag 21:1849–1863. doi:10.1007/s11269-006-9133-0
    • (2007) Water Resour Manag , vol.21 , pp. 1849-1863
    • Wentz, E.A.1    Gober, P.2
  • 54
    • 43449086147 scopus 로고    scopus 로고
    • The evolution of built landscapes in metropolitan regions
    • Wheeler SM (2008) The evolution of built landscapes in metropolitan regions. J Plan Educ Res 27:400–416
    • (2008) J Plan Educ Res , vol.27 , pp. 400-416
    • Wheeler, S.M.1
  • 55


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