Effects of El Nino/Southern Oscillation on simulated phosphorus loading in south Florida

被引:0
|
作者
Keener, V. W. [1 ]
Ingram, K. T. [1 ]
Jacobson, B. [2 ]
Jones, J. W. [1 ]
机构
[1] Univ Florida, Dept Agr & Biol Engn, Gainesville, FL 32611 USA
[2] Soil & Water Engn Technol Inc, Gainesville, FL USA
关键词
climate forecast; El Nino; ENSO; Florida; hydrologic modeling; phosphorus; runoff; WAM;
D O I
暂无
中图分类号
S2 [农业工程];
学科分类号
0828 ;
摘要
The El Nino/Southern Oscillation (ENSO) is a global climate phenomenon with strong effects on Florida's weather patterns. ENSO has been shown to have predictable effects on streamflow, rainfall, and crop yield; however, the relationship between N and P loading and ENSO has not been previously explored. Nutrient loads for a Lake Okeechobee sub-basin for 1965-2001 were simulated with the Watershed Assessment Model (WAM) and compared to measured P loads. The NS coefficients for simulated and measured monthly P loads were 0.73 for the calibration period and 0.63 for the validation period, which indicates "satisfactory" to "good" model performance. With a probable error range (PER) of +/-27.8% for measured P loads, the modified NS coefficients increased to 0.94 for the calibration period and 0.93 for the validation period. Results showed that ENSO strongly affected simulated seasonal and monthly phosphorus runoff. El Nino years produced seasonal peak loads of P runoff into Lake Okeechobee significant at the 99% level during the spring (February April), which indicates dominance of positive load anomalies. La Nina years produced significant seasonal peak loads in the summer (May-July) but with much greater variability in loads. Neutral years exhibited less predictable seasonal loading, although simulated P loads were generally similar to measured long-term means. Nutrient loading patterns during specific ENSO phases were comparable to previously explored precipitation and streamflow patterns in south Florida. This research has potential for use by land and water managers who can add short-term ENSO-based climate forecasts to their toolbox for reducing nutrient runoff.
引用
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页码:2081 / 2089
页数:9
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