Effect of Irrigation and Climate Variability on Water Quality of Coastal Watersheds: Case Study in Alabama
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 2
Abstract
Agricultural activities are considered the leading cause of surface water quality degradation in the United States. While agricultural production in the state of Alabama is mainly rain-fed, irrigation is currently being promoted to reduce drought vulnerability associated with the El Niño Southern Oscillation (ENSO). It is not clear, however, how increased irrigation and ENSO-induced seasonal to interannual climate variability will affect the transport of pollutants [mainly nitrogen (N) and phosphorus (P)] to surface water bodies. The objective of this study was to quantify the effect of irrigation and ENSO on nutrient transport. A standard model to assess soil and water was applied in the Big Creek watershed of southwest Alabama to address this objective. The hydrologic and water quality parameters of the model were calibrated and validated by comparing model predictions with 15 years of observed data, and the effect of irrigation was evaluated. Model simulations were performed for 59 years (1950–2008) to quantify the effect of ENSO on nutrient transport. Results show that total nitrogen (TN) and total phosphorus (TP) loads increased by 4 and 3%, respectively, when irrigation was applied to cropland subwatersheds. The increase in TN load was significant at 90% confidence level (), while the increase in the TP load was nonsignificant at , indicating that TN transport is more sensitive to irrigation. Further, results suggest that El Niño generates higher nutrient loads in November, January, February, May, and July as compared to La Niña. Overall, irrigation increased nutrient transport (especially TN) within the watershed; this increase was affected by ENSO, with the El Niño phase generating greater loads than the La Niña and Neutral phases. However, inappropriate management of nutrient application can lead to greater negative impacts on water quality than irrigation. Although, the study only examined one coastal plain watershed, the results are expected to be applicable to much of the ENSO-affected coastal plain area of the southeast United States.
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References
ACES (Alabama Cooperative Extension Service). (2009). “GIS data.” 〈http://www.aces.edu/waterquality〉.
Arnold, J. G., and Allen, P. M. (1999). “Automated methods for estimating base flow and groundwater recharge from stream flow.” J. Am. Water Resour. Assoc., 35(2), 411–424.
Arnold, J. G., Allen, P. M., Muttiah, R. and Bernhardt, G. (1995). “Automated base flow separation and recession analysis techniques.” Ground Water J., 33(6), 1010–1018.
Behera, S., and Panda, R. K. (2006). “Evaluation of management alternatives for an agricultural watershed in a sub-humid subtropical region using a physical process based model.” Agric. Ecosyst. Environ., 113(1–4), 62–72.
Bosch, D. D., Sheridan, J. M., Batten, H. L., and Arnold, J. G. (2004). “Evaluation of the SWAT model on a coastal plain agricultural watershed.” Trans. ASAE, 47(5), 1493–1506.
Butler, G., and Srivastava, P. (2007). “An Alabama BMP database for evaluating water quality impacts of alternative management practices.” Appl. Eng. Agric., 23(6), 727–736.
Carpenter, S. R., Caraco, N. F., Correll, D. L., Howarth, R. W., Sharpley, A. N., and Smith, V. H. (1998). “Nonpoint pollution of surface water with phosphorus and nitrogen.” Ecol. Appl., 8(3), 559–568.
Chu, T. W., Shirmohammadi, A., Montas, H., and Sadeghi, A. (2004). “Evaluation of the SWAT model’s sediment and nutrient components in the piedmont physiographic region of Maryland.” Trans. ASAE, 47(5), 1523–1538.
Coffey, R., Cummins, E., Bhreathnach, N., Flaherty, V. O., Cormican, M. (2010). “Development of a pathogen transport model for Irish catchments using SWAT.” Agric. Water Manage., 97(1), 101–111.
Dougherty, M., Bayne, D., Curtis, L., Reutebuch, E., and Seesock, W. (2007). “Water quality in a non-traditional off-stream polyethylene-lined reservoir.” J. Environ. Manage., 85(4), 1015–1023.
Edmonds, J. A., and Rosenberg, N. J. (2005). “Climate change impacts for the conterminous USA: An integrated assessment summary.” Clim. Change, 69(1), 151–162.
Gassman, P. W., Reyes, M. R., Green, C. H., and Arnold, J. G. (2007). “The soil and water assessment tool: Historical development, applications, and future research directions.” Trans. ASABE, 50(4), 1211–1250.
Haggard, B. E., Moore, P. A., Jr., and Delaune, P. B. (2005). “Phosphorus flux from bottom sediments in Lake Eucha, Oklahoma.” J. Environ. Qual., 34(2), 724–728.
Hanson, B. R. (2003). “Options for reducing nonpoint pollution from surface irrigated fields through improved irrigation.” Proc., Total Maximum Daily Load (TMDL) Environ Regul-II Conf., American Society of Agricultural and Biological Engineers, St. Joseph, MI, 367–374.
Homer, C., et al. (2007). “Completion of the 2001 National Land Cover Database for the conterminous United States.” Photogramm. Eng. Remote Sens., 73(4), 337–341.
Hongbing, S., and Furbish, D. J. (1997). “Annual precipitation and river discharges in Florida in response to E1 Niño- and La Niña-sea surface temperature anomalies.” J. Hydrol., 199(1–2), 74–87.
Izaurralde, R. C., Thomson, A. M., Rosenberg, N. J., and Brown, R. A. (2005). “Climate change impacts for the conterminous USA: An integrated assessment.” Clim. Change, 69(1), 107–126.
Journey, C. A., and Gill, A. C. (2001). “Assessment of water-quality conditions in the J.B. Converse Lake Watershed, Mobile County, Alabama, 1990—98.”, U.S. Geological Survey, 131.
Kalin, L., and Hantush, M. M. (2006). “Hydrologic modeling of an Eastern Pennsylvania watershed with NEXRAD and rain gauge data.” J. Hydrol. Eng., 555–569.
Keener, V. W., Ingram, K. T., Jacobson, B., and Jones, J. M. (2007). “Effect of El Nino Southern Oscillation on simulated phosphorus loading in south Florida.” Trans. ASABE, 50(6), 2081–2089.
Keener, V. W., Lall, U., and Jones, J. (2010). “El-Niño southern oscillation (ENSO) influences on monthly NO3 load and concentration, stream flow and precipitation in the Little River Watershed, Tifton, GA.” J. Hydrol., 381(3–4), 352–363.
King, K. W., Balogh, J. C., and Harmel, R. D. (2000). “Feeding turf with wastewater.” Golf Course Manage., 68(1), 59–62.
Lenhart, T., Rompaey, A. V., Steegen, A., Fohrer, N., Frede, H. G., and Grovers, G. (2005). “Considering spatial distribution and deposition of sediment in lumped and semi-distributed models.” Hydrol. Process., 19(3), 785–794.
Luo, Y., He, C., Sophocleous, M., Yin, Z., Hongrui, R., and Ouyang, Z. (2008). “Assessment of crop growth and soil water modules in SWAT 2000 using extensive field experiment data in an irrigation district of the Yellow River basin.” J. Hydrol., 352(1–2), 139–156.
Marshall, E., and Randhir, T. (2008). “Effect of climate change on watershed system: A regional analysis.” Clim. Change, 89(3–4), 263–280.
Neitsch, S. L., Arnold, J. G., Kiniry, J. R., Williams, J. R., and King, K. W. (2005). “Soil and water assessment tool theoretical documentation.” Grassland, Soil, and Water Research Laboratory, Temple, TX.
NOAA (National Oceanic and Atmospheric Agency). (2003). “NOAA gets U.S. consensus for El Niño/La Niña index, definitions.” 〈http://www.noaanews.noaa.gov/stories/s2095.htm〉.
NOAA (National Oceanic and Atmospheric Agency). (2015). “Niño 3.4 index.” 〈http://www.cpc.ncep.noaa.gov/products/analysis_monitoring/ensostuff/ensoyears.shtml〉.
Rasmusson, E. M., and Carpenter, T. H. (1983). “The relationship between eastern equatorial Pacific sea surface temperatures and rainfall over India and Sri Lanka.” Mon. Weather Rev., 111(3), 517–528.
Ritschard, R. L., Cruise, J. F., and Hatch, L. U. (1999). “Spatial and temporal analysis of agricultural water requirements in the Gulf Coast of the United States.” J. AWRA, 35(6), 1585–1596.
Sachan, A. (2003). “Safe yield for jointly operated reservoir system and examination of ENSO impacts.” Dissertation, Virginia Polytechnic Institute and State Univ., Blacksburg, VA.
Saleh, A., et al. (2000). “Application of SWAT for the upper north Bosque river watershed.” Trans. ASAE, 43(5), 1077–1087.
Santhi, C., Arnold, J. G., Williams, J. R., Dugas, W. A., Srinivasan, R., Hauck, L. M. (2001). “Validation of the SWAT model on a large river basin with point and nonpoint sources.” J. AWRA, 37(5), 1169–1188.
Santhi, C., Muttiah, R. S., Arnold, J. G., and Srinivasan, R. (2005). “A GIS-based regional planning tool for irrigation demand assessment and savings using SWAT.” Trans. ASAE, 48(1), 137–147.
Santhi, C., Srinivasan, R., Arnold, J. G., and Williams, J. R. (2006). “A modeling approach to evaluate the impacts of water quality management plans implemented in a watershed in Texas.” J. Environ. Modell. Software, 21(8), 1141–1157.
SAS version 9.2 [Computer software]. SAS Institute, Cary, NC.
Sophocleous, M., and Perkins, S. P. (2000). “Methodology and application of combined watershed and ground-water models in Kansas.” J. Hydrol., 236(3–4), 185–201.
Srivastava, P., Krishna Gupta, A., and Kalin, L. (2010). “An ecologically sustainable surface water withdrawal framework for cropland irrigation—A case study in Alabama.” J. Environ. Manage., 46(2), 302–313.
SWAT [Computer software]. Soil and Water Research Laboratory, Agricultural Research Service, Temple, TX.
U.S. EPA. (1998). “National water quality inventory: 1996 report to Congress.” EPA 841/R-97/008, Office of Health and Environmental Assessment, Washington, DC.
White, J. D., Prochnow, S. J., Zygo, L. M., and Byars, B. W. (2005). Climate variability impacts on watershed nutrient delivery and reservoir production, American Geophysical Union (AGU), Washington, DC.
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© 2015 American Society of Civil Engineers.
History
Received: Sep 24, 2014
Accepted: Sep 1, 2015
Published online: Oct 28, 2015
Published in print: Feb 1, 2016
Discussion open until: Mar 28, 2016
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