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2. MATERIAL AND METHODS The experiment was installed and conducted at Faculdade de Engenharia Agrícola (FEAGRI) / Universidade Estadual de Campinas, (UNICAMP)/Campinas/São Paulo State/Brazil. The soil experimental area was rated by Latossolo Vermelo Típico (Embrapa, 1999). Cultural practices and the plant control were carried out in accordance with the recommendations for the conduct of commercial culture. The distribution of the effluent in the flower beds, sewage treatment system in the soil was made by means of a system of distribution by gravity from storage systems comprised of two reservoirs with a capacity of 1000 liters each (total volume = 2000 litres). The distribution of water in flower beds was made as follows: a line along the gantry adutora toured; This water supply network has four branches, one for each module of the construction site; from water supply network line derivations was made a distribution module of the effluent in the quarry so that they reduce the speed, minimizing your possible erosive effect and monitoring to be provided a net 25 mm blade distributed per turn each watering days. Distribution systems are schematized in Figure 1. Figure 1. Distribution systems and sewage water in flower beds The experimental plots were 4.0 x 20.0 meters and each plot were composed of 4 lines of sowing, with 20.0 m long. The chosen spacing was spaced 1 m 0, 50 m between themselves and between plants in accordance with CATI (Coordenadoria de Assistência Técnica e Integral). Each parcel with the culture this subject to the following manipulations- Without distribution of effluent (witness); Distribution of water with sewage tank of Experimental field; Distribution of effluent water with soil fertilized field Experimental; Distribution of effluent with UASB effluent Anaerobic Filter set +; Distribution of effluent with the effluent RACINTERCONNECT + Anaerobic Filter set. In the experiment the delineation used was entirely casualizado, with five treatments and four repetitions, being dry treatments in an oven at 65° ± C to constant weight, being subsequently weighed for determination of dry matter mass balance of precision (Lessa et al., 2008). 3. RESULTS AND DISCUSSION The accumulation of dry matter mass followed a parabolic trend sheet over development of plants, with greater accumulation (16.15 g) to 75 DAE (days after emergence). After this period occurs a decrease as a result of leaf senescence. This fact is due the strong ability
mobilizing assimilated exerted by chapter that are strong by its constant development metabolic drains until the end of the cycle (90 DAE). Similar changes occurred with the stems. Of the emergency to 15 days (DAE), the accumulation of dry matter mass is slow and depends on the reserves of the seed. After the 30 days (appearance of floral button), the buildup intensifies, increasing the consumption of water and nutrients. Castro & Farias (2005). Table 1 presents the results of the statistical analyses, where the variability of dry pasta production of leaves is much larger than the stem dry mass observed by CV%, 332.45982 and 64.40239 respectively. TABLE 1. Medium dry mass analyses of the leaves and stems of sunflower, held for the five treatment.. Leaves treatment Stem treatment 1 0.39822 a 1 0.15231 a 2 1.17008 a 2 0.13579 ab 3 0.26126 a 3 0.08798 ab 4 0.32903 a 4 0.11562 ab 5 0.28831 a 5 0.07585 b DMS 1.43187 DMS 0.06434 MG 0.48938 MG 0.11351 CV% 332.45982 CV% 64.40239 * Means followed by the same letter in the column do not differ significantly from each other by the Tukey test (P
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POSTER SW: SOIL AND WATER ENGINEERI
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Presenter: Jose Euclides Paterniani
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1 Faculdade de Engenharia Agricola
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Matsura Department of hydraulic and
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P-2064 MULTIVARIATE STATISTICAL OF
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temperature-based (e.g., Thornthwai
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two types of reference surfaces rep
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(d) Baft (c) Bam (b) Kerma n (a) Ji
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Estevez, J., Gavilan, P., & Berenge
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2. Materials and Methods 2.1 The hy
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Ia = n × v ec Equation 3 which: Ia
Page 23 and 24: 5. References ALLEN, R.G.; PEREIRA,
Page 25 and 26: The density analysis was performed
Page 27 and 28: Figure1 - Relationship between the
Page 29 and 30: 4 Conclusions • The density obtai
Page 31 and 32: characteristics resulting from of g
Page 33 and 34: Table1. Morphological characteristi
Page 35 and 36: Transpiration of Eucalyptus spp see
Page 37 and 38: The fertilization growth and harden
Page 39 and 40: Cool, J. B., Rodrigo, G. N., Garcí
Page 41 and 42: Abstract Agriculture and water sour
Page 43 and 44: In 1985 and 1986 hygienic protectio
Page 45 and 46: spring area. It is also prohibited
Page 47 and 48: Biological Nitrogen Fixation In Gen
Page 49 and 50: We used a completely randomized in
Page 51 and 52: 5. References AYERS, R.S.; WESTCOT,
Page 53 and 54: 2 However, the cultures are not alw
Page 55 and 56: 4 TABEL 2: Mean values of radiation
Page 57 and 58: accumulated ETo (mm dia -1 ) 6 900
Page 59 and 60: only the expansion of agricultural
Page 61 and 62: FIGURE 2: Content of chlorophyll a,
Page 63 and 64: Evapotranspiration and Crop Coeffic
Page 65 and 66: were respectively applied in the fi
Page 67 and 68: TABLE 1: Irrigation depth and actua
Page 69 and 70: NUTRIENT RETENTION IN WETLANDS USIN
Page 71 and 72: Table 2. Daily affluent concentrati
Page 73: IMPORTANCE OF DRY GEAR MASS CULTURE
Page 77 and 78: This method consists of covering th
Page 79 and 80: uncovered ones, that mixed the wate
Page 81 and 82: coliforms and E-coli that might hav
Page 83 and 84: WATER TREATMENT BY COAGULATION WITH
Page 85 and 86: in a grinder and passed through a 0
Page 87 and 88: 3.2. Determination of the required
Page 89 and 90: ANALYSIS OF LEVELS OF LAND DEGRADAT
Page 91 and 92: This methodology consists of a sequ
Page 93 and 94: FIGURE 5. A - Area of exploitation
Page 95 and 96: Water technology improvements and t
Page 97 and 98: The Multiattribute Utility Theory (
Page 99 and 100: higher demand than those of scenari
Page 101 and 102: YIELD AND BEAN SIZE OF COFFEA ARABI
Page 103 and 104: uniformity of flowering. The irriga
Page 105 and 106: Table 3 - Analysis of variance for
Page 107 and 108: SUGARCANE FERTIRRIGATED WITH MINERA
Page 109 and 110: 3. Results and Discussion The value
Page 111 and 112: espectively, compared to that obser
Page 113 and 114: Optimal Reservoir Operation Model w
Page 115 and 116: all periods are computed using Eq.
Page 117 and 118: (a) Calibration (b) Verification Fi
Page 119 and 120: Characteristics of Heavy Metal Cont
Page 121 and 122: 2. Materials and Method 2.1. Study
Page 123 and 124: TABLE 2: Devices for collecting of
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Calibration of Hargreaves Equation
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Relative error (RE): Index of agree
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Stochastic modelling of Contaminant
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widely used for various fields such
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show that Extvalue and Logistic dis
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Efficiency of water and energy use
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Pressure: it was obtained by means
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them cover similar percentages. Dur
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Relationship among compaction, mois
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Cylindrical containers (191mm diame
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Figure 9 High compaction. Bulk dens
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Simulation of water flow with root
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water contents were almost greater
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Operation and Energy Optimization M
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Urmia Salt Lake Urmia FIGURE 1: Gha
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changes have been done in system. F
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Application of Surface Cover and So
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significantly lower than those from
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Choi, J. D., (1997). Effect of Rura
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1.1. Scope and aim The growth of th
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Therefore, the remaining works are
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network makes such volumes unaccept
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Reclaimed wastewater reuse has been
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Fig. 2 shows the monitoring results
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3. Conclusions Reclaimed wastewater
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Q P Ia 2 P Ia S for P≥Ia Q 0
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data P (mm), gauged in 130 pluviogr
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TABLE 2: CN emp values obtained for
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References Chapman, T. G. & Maxwell
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This work, after applying Kennessey
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TABLE 2 - Partial runoff coefficien
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Figure 3 also reports a comparison
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2. Material and Methods The experim
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TABLE 2: Summary of variance analys
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BEZERRA, I. L.; GHEYI, H. R.; FERNA
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2. Materials and Methods The study
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Figure 3. Hourly values of ET estim
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Ortega-Farias, S.O., Cuenca, R.H.,
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2 Material end methods The wastewat
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Queiroz et al. (2004) and (Fonseca
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Reference list CEREDA, M.P. (2001)
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2. Data and Methods 2.1. Methods Ir
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3. Results The water balance model
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Acknowledgments This work was carri
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and the need to reduce costs, it be
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40 mm 65.30 59.00 8.70 8.10 60 mm 6
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REFERENCES BERTRAND, J. P. et al. L
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The mathematical modeling in the wa
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OD (mg L -1 ) OD obs (mg L -1 ) TAB
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OD (mg L -1 ) DBO (mg L -1 ) 8,00 7
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Effect of Rice Straw Mulch on Runof
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mg/L, 14.6 mg/L, and 1.2 mg/L, resp
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1 PAPAYA SEEDLINGS PRODUCTION FROM
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3 into an oven with circulating air
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5 14 12 Stem diameter (mm) 10 8 6 4
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7 Root dry matter (g plant -1 ) 8 7
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CAVALCANTE, L. F.; CORDEIRO, J. C.;
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This document was created with Win2
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extractable and non-extractable bou
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MOD-E and MOD-B, and 65.99% and 80.
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Houot, S., Barriuso, E., Bergheaud,
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measures water content and electric
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As observed, increasing the dischar
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irrigation: a comparison of point a
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field operations (STRECK et al., 20
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3. Results and discussions Table 1
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4. Conclusions It can be concluded
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water maintenance. At the same time
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TABLE 1 Stream discharge for each m
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TABLE 5 Correlation analysis of wat
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turbulent flow energy produced by w
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The numerical model was validated a
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4. Conclusion FIGURE 6: The shape o
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2.1 Case study The Zayandeh-Rud bas
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economic factors. In this is a very
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FIGURE 1. Location of the Wuliangsu
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WT( o C) (a) 30 25 20 15 10 5 0 -5
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(a) (b) (c) (d) (e) (f) (g) (h) (i)
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• The effectiveness of the crop c
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As evidenced by Rana et al. (2005),
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1.20 1.20 2010 2011 0.90 0.90 K c 0
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elationships. There is forest area,
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B = ( c − a) A − ( c − d) c
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References Choi, W.-J., Lee, S.-M.,
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of faecal bacteria (Kummerer, 2004;
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FIGURE 1 - Project tasks and links
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Oliveira, A.B. & Henriques, M. (201
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1 Introduction To irrigate is to su
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the inverter that provides a refere
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OLIVEIRA FILHO, D. ; SAMPAIO, R. P.
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1.1 Description of the Study Area T
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Refrences: Bruce J.P. (1994). Natur
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RE because it has the advantages ov
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with L 1 2 com obs J ( k ) = ∑{ f
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Relative hydraulic conductivity r 1
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surfaces requires information on th
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climate. Therefore a special coeffi
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FIGURE 2: The relation between K pa
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Coagulation using Moringa oleifera
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After the assembly of the experimen
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For the positive control test, the
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MULTIVARIATE STATISTICAL OF PRINCIP
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The multiple regression equations w
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Table 3 - Regression models that be
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Is Imaging Analysis Quantifying the
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of the computer. All additional ima
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The final enhanced images were segm
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image analysis is well suited and f
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EVALUATION OF CROP CANOPY EFFECT ON
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∂e ∂e ∂e + u + v ∂t ∂x
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4. Results and discussion 4.1. Spat
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Benchmarking of Irrigated Agricultu
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Indicators can be thought of as sta
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total area is about 13,700 km2. The
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