Nonpoint source (NPS) water pollution originates from a broad range of human activities for which the pollutants have no obvious point of entry into receiving waters. Agricultural activities are a major source of NPS pollution and the release of sediments, pesticides, nutrients, and microorganisms can contribute to water quality deterioration. NPS pollution is a major environmental problem in developed countries, and has become a problem of even greater concern in tropical developing countries as areas used for subsistence or low intensity agriculture have transitioned to high technology agriculture with increased use of fertilizers and pesticides.
The tropics comprise about 36% of the earth surface and its characteristics differ from temperate areas in a number of aspects. These differences must be accounted for when practices developed in temperate areas to control NPS pollution are applied in the tropics. Modeling is an important tool used to evaluate the effectiveness of NPS pollution control measures and NPS models are commonly used in developed countries for environmental evaluation and management. Although used widely in temperate zones, the use of NPS models is limited in the tropics and usually involves the application of models developed for temperate conditions with only minor--if any--adaptation to tropical conditions.
The overall objective of this research was to develop a field-scale agro-ecosystem model for humid tropical conditions that can be used as a NPS pollution management tool. The specific focus of the present research is on the fate and transport of nitrogen and phosphorus and prediction of losses in surface runoff and leachate from the root zone. Existing “temperate” NPS models were evaluated and the GLEAMS model was selected for modification. Changes to GLEAMS include incorporation of a new potential evapotranspiration model, changes in initial and default parameter values, and different relationships for selected nitrogen and phosphorus transformations.
The FAO Penman-Monteith model was incorporated for predicting potential evapotranspiration (ET) to overcome weaknesses found in the GLEAMS ET models. More appropriate initial or default values were determined from the literature for C/N ratio, soil nitrate and ammonium, soil P sorption (PSP), and the equation to calculate the initial concentration of soil organic P. Models for carbon, nitrogen, and phosphorus mineralization, nitrification, nitrogen immobilization, and the transformation of labile P to active mineral P as well as models that simulate the effect of temperature in C, N, and P mineralization and nitrification were modified according to equations derived in the tropics. A nitrate retardation factor (Ncrit) and pH were added as input variables. Ncrit is a critical NO3-N concentration and downward and upward nitrate movement in soil occurs only when its concentration is above Ncrit. pH is used in the simulation of nitrification.
TROPGLEAMS was evaluated through comparison with data from field studies in the tropics, through comparison with the original GLEAMS model, and through sensitivity analysis. Model validation included the application of the GLEAMS and TROPGLEAMS to three areas and the comparison of measured and simulated values of selected output variables. Measured values were obtained from three studies. The first study, the Piracicaba lysimeter study, was carried out in Piracicaba, SP, Brazil, using lysimeters planted with sugarcane in which 8 treatments with different doses of mineral N and crop residue were applied. Water in runoff and mineral N in leachate were the assessed output variables. The second study, the Piracicaba plot study, was also located in Piracicaba and included plots planted with sugarcane with four treatments (three doses of sewage sludge and one dose of mineral N). For this study, the assessed output variables were NH4-N and NO3-N in soil solution and TKN and mineral nitrogen (NH4-N + NO3-N) in soil. The third study, the Lages plot study, was carried out in Lages, SC, Brazil and included plots planted with a wheat-soybean rotation with three different soil management systems: Conventional tillage, Chisel+disk, and No-tillage. The assessed output variables were NH4-N, NO3-N, and PO4-P in runoff. The comparison of results of the original and modified models was performed through the analysis of graphics with model results and the comparison of root means square error (RMSE) between measured values and that simulated by both models. The sensitivity analysis included the comparison of the sensitivity of GLEAMS and TROPGLEAMS to changes in temperature for the variables NO3-N and NH4-N in leachate and in runoff, and NH4-N in sediment and the sensitivity of TROPGLEAMS to pH and the retardation factor of nitrate (Ncrit). NO3-N in leachate and in runoff were the variable assessed for pH and Ncrit.
Results of actual evapotranspiration from TROPGLEAMS were more stable than that from GLEAMS resulting in a better prediction of actual ET. TROPGLEAMS is very stable in simulating nitrogen and phosphorus kinetics and the influence of environmental factors (temperature, pH, and soil water content) in the transformations between their several pools. In terms of mass balance of nutrients, TROPGLEAMS showed to be as accurate as GLEAMS, since, for three simulations of three years, a balance of zero for all years was obtained, except the balance of nitrogen in one year, in which both models resulted in negative values, suggesting that the error is in a subroutine common to both models that was not modified in this study. For the Piracicaba lysimeter study, while GLEAMS overpredicted the rates of nitrogen transformations, resulting in a significant overprediction of leached N, TROPGLEAMS results were very close to measured values. For the Piracicaba plot study, TROPGLEAMS was superior to GLEAMS in simulating ammonia and nitrate concentration in soil solution, and mineral nitrogen and TKN concentration in soil. While nitrate and ammonia concentration simulated with GLEAMS resulted in zero values in most of the simulation, TROPGLEAMS resulted in positive values of these variables during most simulations. For NH4-N concentrations in soil solution, RMSE for TROPGLEAMS was smaller than that for GLEAMS. For NO3-N concentration in soil solution, RMSE for TROPGLEAMS were higher than that for GLEAMS, what does not indicate a better performance, since GLEAMS results were zero in almost all simulation.
For the Lages plot study, both GLEAMS and TROPLEAMS highly underpredicted NO3-N in runoff. However, TROPGLEAMS predicted NH4-N and PO4-P in runoff better than GLEAMS.
TROPGLEAMS simulated better than GLEAMS the effect of tillage on losses of NH4-N in runoff in the Lages plot study. Since the incorporation of surface material is more complete in the Conventional tillage treatment, while no incorporation and intermediate incorporation is made in No-tillage and Chisel+disk treatments, the expected tendency is more superficial losses in plots with No-tillage, followed by Chisel+disk and Conventional tillage. The outcome of TROPGLEAMS followed this tendency for average NH4-N in runoff, while GLEAMS simulated greater values for the Chisel+disk treatment, followed by Conventional tillage and No-tillage.
For the range of annual temperature between 16.12 to 21.2oC, TROPGLEAMS is more sensitive than GLEAMS for NO3-N in leachate and in runoff and NH4-N in runoff and in leachate, while GLEAMS is more sensitive than TROPGLEAMS for NH4-N in sediment. For PO4-P in runoff, both models showed the same absolute value of relative sensitivity, while for PO4-P in sediment, sensitivity of TROPGLEAMS was almost three times that of GLEAMS.
It can be concluded that GLEAMS was a temperate NPS model very appropriate to be adapted in this study and the equations and models identified as appropriate to be used in the adaptation, along with the initial or default values considered more representative to tropical soils resulted in a NPS model more accurate than the original model in the simulation of transport and losses of N and P under tropical conditions. Overall, TROPGLEAMS simulate losses in leachate better than simulate losses in runoff and changes in the algorithms related to losses in runoff need to be made to improve model performance. The introduction of Ncrit and pH improved the accuracy of the simulation of nitrification and nitrate movement in tropical soils and the model is reasonably sensitive to them.
TROPGLEAMS is the first field NPS model adapted for simulating fate and transport of nitrogen and P under humid tropical conditions. Future works need to be done in order to improve model predictions, between them it can be cited the adaptation of intern database to represent more accurately different crops and varieties usually planted in the tropics; the inclusion of a model to simulate rainfall interception in crop fields; the assessment of the soil temperature model, of the equations that constraints ammonia and labile phosphorus available for plant uptake and leaching, of the model related to the transformation between labile P (PLAB) and active mineral P (PMINP), and of the rate of soil organic matter decomposition; and the improvement of the models related to the processes involving nitrate and phosphorus losses in runoff.