Understanding the relationship of land uses and water quality in Twenty First Century: A review

Journal of Environmental Management

Volumn 173, Issue , 2016, Pages 41-48

  Giri, Subhasis ^a   Qiu, Zeyuan ^a  

^a NEW JERSEY INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

Contamination potential index; Hydrological sensitive area; Land use; Shannon's diversity index; Water quality; Water quality index

Indexed keywords

WATER QUALITY; WATER RESOURCES;

CONTAMINATION POTENTIAL INDEX; CONTAMINATION POTENTIALS; DIVERSITY INDEX; EXPLANATORY VARIABLES; FOOD DEMAND; HYDROLOGICAL SENSITIVE AREA; SENSITIVE AREA; SHANNON DIVERSITY; SHANNON DIVERSITY INDEX; WATER QUALITY INDEXES;

LAND USE;

ANTHROPOGENIC EFFECT; DIVERSITY INDEX; ENVIRONMENTAL PROTECTION; HYDROLOGICAL MODELING; LAND USE; WATER MANAGEMENT; WATER PLANNING; WATER QUALITY; WATERSHED;

EXPLANATORY VARIABLE; HUMAN; LAND USE; MANAGER; MODEL; WATER QUALITY; WATERSHED; AGRICULTURE; ANALYSIS; ASIA; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; EUROPE; NORTH AMERICA; PRINCIPAL COMPONENT ANALYSIS; STANDARDS; URBANIZATION; WATER POLLUTANT; WATER SUPPLY;

WATER POLLUTANT;

AGRICULTURE; ASIA; CONSERVATION OF NATURAL RESOURCES; ENVIRONMENTAL MONITORING; EUROPE; NORTH AMERICA; PRINCIPAL COMPONENT ANALYSIS; URBANIZATION; WATER POLLUTANTS; WATER QUALITY; WATER SUPPLY;

EID: 84960153077     PISSN: 03014797     EISSN: 10958630     Source Type: Journal    
DOI: 10.1016/j.jenvman.2016.02.029     Document Type: Article

References (74)

1. Abdi H. Partial least squares regression and projection on latent structure regression (PLS regression). Wiley Interdiscip. Rev. Comput. Stat. 2010, 2:97-106.
2. Adenle A.A., Azadi H., Arbiol J. Global assessment of technological innovation for climate change adaptation and mitigation in developing world. J. Environ. Manag. 2015, 161:261-275.
3. Ai L., Shi Z.H., Yin W., Huang X. Spatial and seasonal patterns in stream water contamination across mountainous watershed: linkage with landscape characteristics. J. Hydrol. 2015, 523:398-408.
4. Amiri B.J.,B., Nakane K. Modeling the linkage between river water quality and landscape metrics in the Chugoku District of Japan. Water Resour. Manag. 2009, 23:931-956.
5. Baker M.E., Weller D.E., Jordan T.E. Effects of stream map resolution on measures of riparian buffer distribution and nutrient retention potential. Landsc. Ecol. 2007, 22:973-992.
6. Bu H., Meng W., Zhang Y., Wan J. Relationships between land use patterns and water quality in the Taizi River basin, China. Ecol. Indic. 2014, 41:187-197.
7. Carey R.O., Migliaccio K.W., li Y., Schaffer B., Kiker G.A., Brown M.T. Land use disturbance indicators and water quality variability in the Biscayne Bay Watershed, Florida. Ecol. Indic. 2011, 11:1093-1104.
8. Carpenter S.R. Phosphorus control is critical to mitigating eutrophication. Proc. Natl. Acad. Sci. U. S. A. 2008, 105:11039-11040.
9. Carpenter S.R., Caraco N.E., Correll D.L., Howarth W., Sharpley A.N., Smith V.H. Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecol. Appl. 1998, 8:559-568.
10. Chhetri N., Chaudhary P., Tiwari P.R., Yadaw R.B. Institutional and technological innovation: understanding agricultural adaptation to climate change in Nepal. Appl. Geogr. 2012, 33:142-150.
11. Chiwa M., Onikura N., Ide J.K.,A. Impact of N-saturated upland forests on downstream N pollution in the Tatara River Basin, Japan. Ecosystems 2012, 15:230-241.
12. Dunn S.M., Towers W., Dawson J.J.C., Sample J., McDonald J. A pragmatic methodology for horizon scanning of water quality linked to future climate and land use scenarios. Land Use Policy 2015, 44:131-144.
13. Erdogan M. The effects of ecology based summer nature education program on primary school students' environmental knowledge, environmental affect and responsible environmental behavior. Educ. Sci. Theory Pract. 2011, 11(4):2233-2237.
14. Evans A.E.V., Hanjra M.A., Jiang Y., Qadir M., Drechsel P. Water Pollution in Asia: The Urgent Need for Prevention and Monitoring. Global Water Forum 2012, UNESCO, Available at, (accessed 08.07.15.). http://www.globalwaterforum.org/2012/06/09/water-pollution-in-asia-the-urgent-need-for-prevention-and-monitoring/.
15. Fan M., Shibata H. Simulation of watershed hydrology and stream water quality under land use and climate change scenarios in Teshio River Watershed, northern Japan. Ecol. Indic. 2015, 50:79-89.
16. Feng Y., Ling L., Yanfeng L., You Z., Musong C., Xigang X. A dynamic water quality index model based on functional data analysis. Ecol. Indic. 2015, 57:249-258.
17. Fiquepron J., Garcia S., Stenger A. Land use impact on water quality: valuing forest service in-terms of the water supply sector. J. Environ. Manag. 2013, 126:113-121.
18. Ford j.A., Steen J., Martie-louise V. How environmental regulations affect innovation in the Australian oil and gas industry: going beyond the Porter Hypothesis. J. Clean. Prod. 2014, 84:204-213.
19. Fox D.R. Probability weighted indices for improved ecosystem report card scoring. Environmetrics 2014, 25:351-360.
20. Gani A., Scrimgeour F. Modeling governance and water pollution using the institutional ecological framework. Econ. Model. 2014, 42:363-372.
21. Giri S. Assessing Best Management Practices and Implementation Strategies to Improve Water Quality. A Doctoral Dissertation 2013, Michigan State University, East Lansing, Michigan.
22. Giri S., Nejadhashemi A.P., Woznicki S.A. Evaluation of targeting methods for implementation of best management practices in the Saginaw River Watershed. J. Environ. Manag. 2012, 103:24-40.
23. Glavan M., Milicic V., Pintar M. Finding options to improve catchment water quality- lessons learned from historical land use situations in a Mediterranean catchment in Slovenia. Ecol. Model. 2013, 261:58-73.
24. Gmper-rabindran S., Finger S.R. Does industry self- regulation reduce pollution? Responsible care in the chemical industry. J. Regul. Econ. 2013, 43:1-30.
25. Godfray H.C.J., Beddington J.R., Crute I.R., Haddad L., Lawrence D., Muir J.F., Pretty J., Robinson S., Thomas S.M., Toulmin C. Food security: the challenge of feeding 9 billion people. Science 2010, 327(5967):812-818.
26. Gregory S.C., Swanson F.J., McKee W.A., Cummins K.W. An ecosystem perspective of riparian zones. BioScience 1991, 42:540-541.
27. Huang J., Zhan J., Yan H., Wu F., Deng X. Evaluation of the impacts of land use on water quality: a case study in the Chaohu lake Basin. Sci. World J. 2013, 329187:1-7.
28. Huang J., Huang Y., Pontius R.G., Zhang Z. Geographically weighted regression to measure spatial variations in correlations between water pollution versus land use in a coastal watershed. Ocean Coast. Manag. 2015, 103:14-24.
29. Kang J.H., Lee S.W., Cho K.H., Ki S.J., Cha S.M., Kim J.H. Linking land use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basin. Water Res. 2010, 44:4143-4157.
30. Kennen J.G., Murray M.R., Beaulieu K.M. Determining hydrologic factors that influence stream macroinvertebrate assemblages in the northeastern U.S. Ecohydrology 2010, 3:88-106.
31. Li Y., Li Y., Qureshi S., Kappas M., Hubacek K. On the relationship between landscape ecological patterns and water quality across gradient zones of rapid urbanization in coastal China. Ecol. Model. 2015, 7456:1-9.
32. Lin Z., Anar M.J., Zheng H. Hydrologic and water quality impacts of agricultural land use changes incurred from bioenergy policies. J. Hydrol. 2015, 525:429-440.
33. Liu Y., Long H., Li T., Tu S. Land use transitions and their effects on water environment in Huang-Huai-Hai plain, China. Land Use Policy 2015, 47:293-301.
34. Malone S.J. Agricultural Nonpoint Source Pollution Management: Water Quality Impacts of Balm Road Treatment Marsh, Hillsborough County, Florida 2009, Master of Science Thesis, University of South Florida, Tampa, Florida.
35. Mazurkiewicz P. Corporate Environmental Responsibility: Is a Common CSR Framework Possible? 1998, Available at:, (accessed 06.01.16.). https://siteresources.worldbank.org/EXTDEVCOMSUSDEVT/Resources/csrframework.pdf.
36. Meneses B.M., Reis R., Vale M.J., Saraiva R. Land use and land cover changes in Zezere watershed (Portugal)-Water quality implications. Sci. Total Environ. 2015, 527:439-447.
37. National Resources Council (NRC) Riparian Areas: Functions and Strategies for Management 2002, National Academy Press, Washington DC.
38. Naylor R.L., Falcon W.P. Food security in an era of economic volatility. Popul. Dev. Rev. 2010, 36:693-723.
39. Ortas E., Alvarez I., Jaussaud J., Garayar A. The impact of the institutional and social context on corporate environmental, social, and governance performance of companies committed to voluntary corporate social responsibility initiatives. J. Clean. Prod. 2015, 108:673-684.
40. Paul S. Bacteria Total Maximum Daily Load (TMDL): Development and Evaluation of a New Classification Scheme for Impaired Waterbodies of Texas 2003, Doctoral dissertation, Texas A&M University, College Station, Texas.
41. Peterson E.E., Sheldon F., Darnell R., Bunn S.E., Harch B.D. A comparison of spatially explicit landscape representation methods and their relationship to stream condition. Freshw. Biol. 2010, 10.1111/j.1365-2427.2010.02507.
42. Pollice A., Lasinio G.J. A multivariate approach to the analysis of air quality in a high environmental risk area. Environmetrics 2010, 21:741-754.
43. Pratt B., Chang H. Effects of land cover, topography, and built structure on seasonal water quality at multiple spatial scales. J. Hazard. Mater. 2012, 209:48-58.
44. Qiu Z. Assessing critical source areas in watersheds for conservation buffer planning and riparian restoration. Environ. Manag. 2009, 44:968-980.
45. Rangel M.O., Pita C.B., Goncalves J.M.S., Oliveira F., Coasta C., Erzini K. Eco-touristic snorkeling routes at Marinha beach (Algarve): environmental education and human impacts. Mar. Policy 2015, 60:62-69.
46. Sarkar S., Miller S.A. Water quality impacts of converting intensively managed agricultural lands to switchgrass. Biomass Bioenergy 2014, 68:32-43.
47. Schueler T.R. The importance of imperviousness. Watershed Prot. Tech. 1994, 1:100-111.
48. Schueler T.R., Fraley-McNeal L., Cappiella K. Is impervious cover still important? Review of recent research. J. Hydrol. Eng. 2009, 14(4):309-315.
49. Seeboonruang U. A statistical assessment of the impact of land use on surface water quality indexes. J. Environ. Manag. 2012, 101:134-142.
50. Seilheimer T.S., Zimmerman P.L., Stueve K.M., Perry C.H. Landscape scale modeling of water quality in Lake Superior and Lake Michigan watersheds: how useful are forest based indicators. J. Gt. Lakes Res. 2013, 39:211-223.
51. Sharma S.K., Kansal M.L., Tyagi A. Resource assessment and strategic planning for improvement of water supply to Shimla city in India using geo-spatial techniques. Egypt. J. Remote Sens. Space 2015, 18:85-97.
52. Sharma S.K., Kansal M.L., Tyagi A. Resource assessment and strategic planning for improvement of water supply to Shimla city in India using geo-spatial techniques. Egypt. J. Remote Sens. Space Sci. 2015, 18:85-97.
53. Simsekli Y. An implementation to raise environmental awareness of elementary education students. Proc. Soc. Behav. Sci. 2015, 191:222-226.
54. Sun Y., Guo Q., Liu J., Wang R. Scale effects on spatially varying relationships between urban landscape patterns and water quality. Environ. Manag. 2014, 54:271-287.
55. Teixeira Z., Teixeira H., Marques J.C. Systematic processes of land use/land cover change to identify relevant driving forces: implications on water quality. Sci. Total Environ. 2014, 470:1320-1335.
56. Tran C.P., Bode R.W., Smith A.J., Kleppel G.S. Land use proximity as a basis for assessing stream water quality in New York State (USA). Ecol. Indic. 2010, 10:727-733.
57. Tsegaye T., Sheppardi D., Islam K.R., Johnson A., Tadessei W., Atalay A., Marzen L. Development of chemical index as a measure of in-stream water quality in response to land use and land cover changes. Water Air Soil Pollut. 2006, 174:161-179.
58. Tu J., Xia Z. Examining spatial varying relationships between land use and water quality using geographically weighted regression I: model design and evaluation. Sci. Total Environ. 2008, 407:358-378.
59. Tuppad P., Srinivasan R. Bosque River Environmental Infrastructure Improvement Plan: Phase II BMP Modeling Report 2008, Publ. No. TR-313, Texas A&M Univ., Texas AgriLife Research, College Station, Tex.
60. U.S.Department of Agriculture (USDA) Summary Report: 2007 National Resources Inventory: Report to Congress 2009, Available at:, (accessed 06.01.15.). http://water.epa.gov/lawsregs/guidance/cwa/305b/upload/2009_05_20_305b_2004report_report2004pt1.pdf.
61. U.S.Department of Agriculture (USDA) Summary Report: 2007 National Resources Inventory, Natural Resources Conservation Service, Washington, DC, and Center for Survey Statistics and Methodology 2009, 123. Iowa State University, Ames, Iowa, Available at:, (accessed 06.01.15.). http://www.nrcs.usda.gov/technical/NRI/2007/2007_NRI_Summary.pdf.
62. USEPA National Water Quality Inventory: Report to Congress, 2004 Reporting Cycle 2009, USEPA Doc. 841-R-08-001, U.S. EPA, Washington, DC.
63. Walter M.T., Walter M.F., Brooks E.S., Steenhuis T.S., Boll J., Weiler K. Hydrologically sensitive areas: Variable source area hydrologically implications for water quality risk assessment. J. Soil Water Conserv. 2000, 3:277-284.
64. Wan R., Cai S., Li H., Yang G., Li Z., Nie X. Inferring land use and land cover impact on stream water quality using a Bayesian hierarchical modeling approach in the Xitiaoxi River Watershed, China. J. Environ. Manag. 2014, 133:1-11.
65. Wang S., Cheng D., Mao Z., Liu C., Yang S., Wnag L. An aquatic eco region delineation approach based on GIS and spatial environmental data in Heihe River Basin Northwestern China. Quat. Int. 2015, 380:272-281.
66. Wikle C.K., Anderson C.J. Climatological analysis of tornado report counts using a hierarchical Bayesian spatio-temporal model. J. Geophys. Res. 2003, 108.
67. Williams M., Hopkinson C., Rastetter E., Vallino J., Claessens L. Relationships of land use and stream solute concentrations in the Ipswich River basin, Northeastern Massachusetts. Water Air Soil Pollut. 2005, 161:55-74.
68. Wilson C., Weng Q. Assessing surface water quality and its relation with urban land cover changes in the Lake Calumet area, Greater Chicago. Environ. Manag. 2010, 45:1096-1111.
69. 2 Kuznets curve: an evidence from China. Energy Policy 2015, 77:97-108.
70. You S., Cheng S., Yau H. The impact of textile industry on China's environment. Int. J. Technol. Des. Educ. 2009, 2(1):33-43.
71. Yu D., Shi P., Liu Y., Xun B. Detecting land use and water quality relationships from the view point of ecological restoration in an urban area. Ecol. Eng. 2013, 53:205-216.
72. Zhang W., Li H., Sun D., Zhou L. A statistical assessment of the impact of agricultural land use intensity on regional surface water quality at multiple scales. Int. J. Environ. Res. Public Health 2012, 9:4170-4186.
73. Zhao J., Lin L., Yang K., Liu Q., Qian G. Influences of land use water quality in a reticular river network area: a case study in Shanghai China. Landsc. Urban Plan. 2015, 137:20-29.
74. Zhao X., Zhao Y., Zeng S., Zhang S. Corporate behavior and competitiveness: impact of environmental regulation on Chinese firms. J. Cleaner Prod. 2015, 86:311-322.