THE FLORIDA STATE UNIVERSITY ARTS AND SCIENCES ...

More documents

Recommendations

Info

Texture 7 Temperature 14 : Denitrification Rate Vs. Water Filled Porosity Rdn (kgN ha-1 d-1) 0.16 0.12 0.08 0.04 0.00 S 0.0328768 R-Sq 75.3% 30 Rdn (kgN ha-1 d-1) = - 0.1020 + 0.002747 WFP (%) 40 50 WFP (%) Figure 2.27 7-14; Denitrification Rate Vs. Water filled Porosity Texture 7 Temperature 16 : Denitrification Rate Vs. Water Filled Porosity Rdn (kgN ha-1 d-1) 0.30 0.25 0.20 0.15 0.10 0.05 0.00 -0.05 20 Rdn (kgN ha-1 d-1) = - 0.1406 + 0.003582 WFP (%) S 0.0583575 R-Sq 78.1% 30 40 50 60 WFP (%) Figure 2.28 7-16; Denitrification Rate Vs. Water filled Porosity 55 60 70 80 70 90 100 80
Texture 7 Temperature 28 : Denitrification Rate Vs. Water Filled Porosity Rdn (kgN ha-1 d-1) 16 14 12 10 8 6 4 2 0 S 2.55833 R-Sq 73.2% 20 Rdn (kgN ha-1 d-1) = 0.9599 + 0.08688 WFP (%) 40 60 80 WFP (%) Figure 2.29 7-28; Denitrification Rate Vs. Water filled Porosity 2.4.8. Texture 8 (Silt Loam) The silty loam database was subdivided into the following subsets: 8-3 (n=9), 8-4 (n=9),8-6 (n=10),8-7 (n=11), 8-8 (n=10),8-9 (n=10),8-10 (n=27), 8-12 (n=6), 8-13 (n=13) ,8-14 (n=18), 8-15 (n=9),8-17 (n=8), 8-18 (n=4), 8-20 (n=48), 8-21 (n=4) and 8-25 (n=59). Of these subsets only the subsets 8-10,8-13,8-14,8-15,8-20 and 8-2 have three or more unique organic carbon values, unfortunately there is no subset that provides a significant linear correlation between the denitrification rate and organic carbon. The only subsets with three or more unique WFP values are 8-13, 8-15, 8-17, 8-20 and 8-25. The only subset with a significant correlation is 8-17, between Rdn and WFP (Figure 2.30). There are six subsets with three or more unique pH values; they are 8-10, 8-12, 8-13, 8- 14, 8-15 and 8-25. None of these subsets have a significant linear correlation between the pH and denitrification rate. All of the subsets except for 8-7, 8-8 and 8-21 have three or more unique nitrate concentration values. The subsets that yield a significant correlation are 8-4 and 8-15. 56 100 120 140
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: Texture 7 Temperature 12 : Denitrif
Page 79 and 80: Texture 8 Temperature 15 : 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 and 122: Rdn (kgN ha-1 d-1) Texture 8 Tepera
Page 123 and 124: 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 ...

Create successful ePaper yourself

Delete template?

Save as template?