THE FLORIDA STATE UNIVERSITY ARTS AND SCIENCES ...

More documents

Recommendations

Info

Rdn (kgN ha-1 d-1) Texture 8 Teperature 14 WFP 73 pH 6.2 : Denitrification Rate Vs. Nitrate Concentration 0.05 0.04 0.03 0.02 0.01 Rdn (kgN ha-1 d-1) = - 0.1244 + 0.02652 NO3- Conc( µgN g-1 soil) S 0.0098436 R-Sq 76.1% 5.50 5.75 6.00 NO3- Conc( µgN g-1 soil) Figure 2.103 8-14-73-6.2; Denitrification Rate Vs. Nitrate Concentration. Rdn (kgN ha-1 d-1) 0.10 0.08 0.06 0.04 0.02 S 0.0231621 R-Sq 85.7% 10 15 20 25 30 NO3- Conc( µgN g-1 soil) 101 6.25 35 40 6.50 Texture 8 Teperature 15 WFP 69 pH 6.2 : Denitrification Rate Vs. Nitrate Concentration Rdn (kgN ha-1 d-1) = - 0.00776 + 0.002545 NO3- Conc( µgN g-1 soil) Figure 2.104 8-15-69-6.2; Denitrification Rate Vs. Nitrate Concentration.
Rdn (kgN ha-1 d-1) Texture 8 Teperature 20 WFP 84 pH 7.1 : Denitrification Rate Vs.Nitrate Concentration 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 Rdn (kgN ha-1 d-1) = - 0.0158 + 0.001641 NO3- Conc( µgN g-1 soil) 0 S 0.199911 R-Sq 68.7% 50 100 150 200 NO3- Conc( µgN g-1 soil) Figure 2.105 8-20-84-7.1; Denitrification Rate Vs. Nitrate Concentration. Rdn (kgN ha-1 d-1) Texture 8 Teperature 20 WFP 88 pH 7.1 : Denitrification Rate Vs. Nitrate Concentration 0.9 0.8 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0.0 0 50 100 150 NO3- Conc( µgN g-1 soil) 102 250 Rdn (kgN ha-1 d-1) = 0.005081 + 0.003792 NO3- Conc( µgN g-1 soil) S 0.0045324 R-Sq 100.0% Figure 2.106 8-20-88-7.1; Denitrification Rate Vs. Nitrate Concentration. 200 300 250
Page 1 and 2:
THE FLORIDA STATE UNIVERSITY ARTS A
Page 3 and 4:
To my Dad, Mum and Brother iii
Page 5 and 6:
Dr. Stephen Kish for his words of e
Page 7 and 8:
1.5. Evaluation of methods to estim
Page 9 and 10:
2.5.8. Texture 8 (Silt Loam).......
Page 11 and 12:
4.2.6. Texture 6 (Sandy Clay Loam).
Page 13 and 14:
LIST OF TABLES Table 1.1 Additional
Page 15 and 16:
LIST OF FIGURES Figure 1.1 Oxidatio
Page 17 and 18:
Figure 2.51 8-20-84; Denitrificatio
Page 19 and 20:
Figure 3.6 Probability plot (Textur
Page 21 and 22:
Three statistical methods were used
Page 23 and 24:
• Microbial biomass/ plant uptake
Page 25 and 26:
Figure 1.1 Oxidation of organic car
Page 27 and 28:
possibility of denitrification (Smi
Page 29 and 30:
50ºC (36ºF - 122ºF) (Brady & Wei
Page 31 and 32:
1.2.6. Salinity Salinity is a known
Page 33 and 34:
1.3.1. The Acetylene inhibition met
Page 35 and 36:
Among the variety of successful met
Page 37 and 38:
a first-order decay process. The ma
Page 39 and 40:
look at the data shows that it fail
Page 41 and 42:
Da is the denitrification rate (mg
Page 43 and 44:
a simple linear regression of organ
Page 45 and 46:
of the annual N2O emission and deni
Page 47 and 48:
easons for the limitation of the mo
Page 49 and 50:
Table 1.2 Continued dC / dt Organic
Page 51 and 52:
also implies that the transferabili
Page 53 and 54:
CHAPTER TWO 2. LINEAR REGRESSION An
Page 55 and 56:
an improvement on the earlier attem
Page 57 and 58:
2.3. Texture Table 2.1 Soil Textura
Page 59 and 60:
2.3.5. Texture 5 (Sand) The surfici
Page 61 and 62:
2.3.10. Texture 10 (Silty Clay Loam
Page 63 and 64:
Textural Class Table 2.2 Coefficien
Page 65 and 66:
R_d_n (kgN ha-1 d-1) R_d_n (kgN ha-
Page 67 and 68:
2.4.3. Texture 3 (Loam) Texture 3 c
Page 69 and 70:
R_d_n (kgN ha-1 d-1) Texture 3 Temp
Page 71 and 72: R_d_n (kgN ha-1 d-1) 6 5 4 3 2 1 0
Page 73 and 74: 2.4.7. Texture 7 (Sandy Loam) The S
Page 75 and 76: Texture 7 Temperature 12 : Denitrif
Page 81 and 82: Rdn (kgN ha-1 d-1) Texture 9 Temper
Page 83 and 84: Rdn (kgN ha-1 d-1) 16 12 8 4 0 Text
Page 85 and 86: 2.5. Break down by Texture, Tempera
Page 89 and 90: 8-20-34 (n=3), 8-20-84 (n=4), 8-20-
Page 93 and 94: Subsets 9-7-100, 9-25-100 and 9-30-
Page 95 and 96: Texture 10 Temperature 25 WFP 100 :
Page 97 and 98: a significant linear relationship b
Page 105 and 106: Rdn (kgN ha-1 d-1) Rdn (kgN ha-1 d-
Page 109 and 110: C9 Rdn (kgN ha-1 d-1) 12 10 8 6 4 2
Page 113 and 114: Rdn (kgN ha-1 d-1) Texture 10 Tempe
Page 115 and 116: 2.6.11. Texture 11 (Silt) No data a
Page 117 and 118: 2.7.6. Texture 6 (Sandy Clay Loam)
Page 121: Rdn (kgN ha-1 d-1) Texture 8 Tepera
Page 125 and 126: 2.8. Summary The correlation coeffi
Page 127 and 128: where, M is the slope of the linear
Page 129 and 130: Hence for the first set of equation
Page 131 and 132: 3.2.2. Texture-Temperature-WFP-pH T
Page 133 and 134: Organic Carbon (%) Actual Rdn Gener
Page 135 and 136: R dn Results C = 9.389 - 3.210* M -
Page 137 and 138: The actual denitrification values f
Page 139 and 140: Eigenvalue 1.5 1.4 1.3 1.2 1.1 1.0
Page 141 and 142: R indicated by the significant code
Page 143 and 144: R Table 4.5 Comparison of actual an
Page 145 and 146: Table 4.8 Texture 2, Comparison of
Page 147 and 148: Table 4.11 Comparison of actual and
Page 149 and 150: The two equations are applied to th
Page 151 and 152: R R dn dn = - 0.05 ∗Temperature (
Page 153 and 154: Table 4.19 Texture 8, Linear multi-
Page 155 and 156: Table 4.20 Continued Actual Rdn Pre
Page 157 and 158: Once again the equations developed
Page 159 and 160: 4.2.11. Texture 11 (Silt) No data a
Page 161 and 162: CHAPTER FIVE 5. ANALYSIS USING NEUR
Page 163 and 164: Figure 5.2 McCulloch-Pitts (Meyer-B
Page 165 and 166: developed. In order to control over
Page 167 and 168: Eventually the final set of network
Page 169 and 170: 5.4.4. Texture 5 (Sand) Figure 5.5
Page 171 and 172: 5.4.6. Texture 8 (Silt Loam) Figure
Page 173 and 174:
5.4.8. Texture 10 (Silty Clay Loam)
Page 175 and 176:
CHAPTER SIX 6. USE OF ISOTOPES TO E
Page 177 and 178:
18 ⎛ ⎛ ⎜ O ⎞ 16 ⎜ ⎜ ⎟
Page 179 and 180:
Figure 6.1 Estimation of Nitrate Lo
Page 181 and 182:
δ 18 O 12 10 8 6 4 2 Table 6.1 Egg
Page 183 and 184:
δ 18 O 20.00 18.00 16.00 14.00 12.
Page 185 and 186:
CHAPTER SEVEN 7. APPLICATION TO JAC
Page 187 and 188:
7.2. Multiple Regression Three equa
Page 189 and 190:
Table 7.4 Multi-Regression and Neur
Page 191 and 192:
8.3. Main Results The linear equati
Page 193 and 194:
isotopes can be particularly useful
Page 195 and 196:
APPENDIX B CONVERSION SHEET FOR DEN
Page 197 and 198:
iv. v. vi. Given in the dataset: 1.
Page 199 and 200:
Conversion from −3 −1 g N m d t
Page 201 and 202:
Convert From Multiply by Convert to
Page 203 and 204:
Texture 4 Variable Count N* Mean St
Page 205 and 206:
Texture 10 Variable Count N* Mean S
Page 207 and 208:
Texture-Temperature-WFP-pH Code Equ
Page 209 and 210:
09-15-25-09 Rdn = 0.0106688*OC + 0.
Page 211 and 212:
Code Rdn - OC Code Rdn-WFP Code Rdn
Page 213 and 214:
- Code Rdn - OC Code Rdn - pH Code
Page 215 and 216:
- Code Rdn - OC Code Rdn - NO3 Conc
Page 217 and 218:
Code Rdn - OC Code Rdn - pH 08-25-9
Page 219 and 220:
REFERENCES Almasri, M. N., & Kaluar
Page 221 and 222:
Fellows, C., Hunter, H., Eccleston,
Page 223 and 224:
King, D., & Nedwell, D. B. (1985).
Page 225 and 226:
Ozden, T., & Muhammetoglu, H. (2008
Page 227 and 228:
Smith, R., Bohlke, J., Garabedian,
Page 229 and 230:
Zhu, J., Liu, G., Han, Y., Zhang, Y
show all

THE FLORIDA STATE UNIVERSITY ARTS AND SCIENCES ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?