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poster - International Conference of Agricultural Engineering

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This method consists <strong>of</strong> covering the AWR surface with a shade cover that is supported by a<br />

double reticulated frame structure made <strong>of</strong> steel or polyamide cables (Martínez-Alvarez et<br />

al., 2009). The cables are anchored either into the storage wall or to galvanised steel posts<br />

bolted to concrete footings. A black double polyethylene fabric, which is porous to water, but<br />

reduces light transmission and wind effect on the water by 99% and 92% respectively<br />

(Gallego-Elvira et al., 2011), is then attached between the frames and suspended over the<br />

AWR.<br />

Concerning the previous research, SSCCs have demonstrated to be an efficient water quality<br />

improving technique for AWRs without inlets or outlets <strong>of</strong> water (i.e. without flow regulation<br />

function; Maestre-Valero et al., 2011). However, they have not been evaluated so far for<br />

AWRs frequently used for irrigation subjected to ongoing water renewals, where the<br />

regulation <strong>of</strong> the reservoir is likely to smooth the effects <strong>of</strong> shading on water quality.<br />

Besides, as a result <strong>of</strong> increasing water shortages that mainly affect irrigated agriculture, the<br />

use <strong>of</strong> no-conventional water resources such as reclaimed water currently depicts an<br />

alternative option that complements the conventional water supply in intensive agricultural<br />

systems. However, irrigation with reclaimed water needs to settle some conditions that<br />

minimize the risk <strong>of</strong> contamination (pathogens or toxic substances) <strong>of</strong> agricultural products,<br />

soil and groundwater (Angelakis et al., 2003). Thus, both physical and chemical and<br />

microbiological water quality parameters need to be set up and evaluated.<br />

This study aimed at analyzing the changes in physical (water temperature, T w ; electrical<br />

conductivity, EC; chlorophyll-a, Chl-a; dissolved oxygen, DO; and turbidity, W t ), chemical<br />

(cations: B + , Ca + , K + , Mg + , Na + and S + and anions: Cl - , NO 3 - and SO 4 2- ) and microbiological<br />

(E-coli and fecal coliforms) parameters <strong>of</strong> water quality in uncovered and covered AWRs<br />

used for irrigation.<br />

2. Materials and Methods<br />

2.1. AWRs characteristics<br />

Four AWRs that regulated flows for irrigation, located in the Segura River Basin, southeastern<br />

Spain, were monitored for a year (March-2011 to March-2012). Two <strong>of</strong> the AWRs<br />

were uncovered (named U 1 and U 2 ) whereas the two other were covered (named C 1 and C 2 )<br />

with a SSCC made <strong>of</strong> double black polyethylene fabric. All AWRs, with similar geometric<br />

characteristics, were supplied with the same water sources: a large reservoir that feeds the<br />

entire irrigation area with surface water through a canal, in which is incorporated to a lesser<br />

extent reclaimed water from a water treatment plant wastewater.<br />

.<br />

2.2. Data collection and analyses<br />

During the one-year experimental period, physical, chemical and microbiological analyses<br />

were performed. Physical parameters were monthly determined using a multi-parametric<br />

instrument (OTT-DS5) placed in the middle <strong>of</strong> the reservoir to measure in situ T w , EC, Chl-a,<br />

DO and W t . Pr<strong>of</strong>iles were taken from the bottom to the surface and readings at depths <strong>of</strong> 0.2,<br />

0.5, 1.5, 2.5, 3.5 and 4.5 m were selected from such pr<strong>of</strong>ile measurements. Additionally,<br />

chemical (cations: B + , Ca + , K + , Mg + , Na + and S 2+ and anions: Cl - -<br />

, NO 3 and SO 2- 4 ) and<br />

microbiological analyses (fecal coliforms and E-coli) were performed by taking water samples<br />

at 1 m depth and analyzing them in laboratory according to Spanish legal framework for<br />

water quality monitoring and sampling (UNE-EN 25667-1,2 and 3).<br />

Water quality data were interpreted using an analysis <strong>of</strong> variance and the Tukey’s range test,<br />

at a 95% confidence level was also applied (statistical s<strong>of</strong>tware package Statgraphics Plus<br />

v.5.1). Statistical analysis results indicated that throughout the trial period, Chl-a, EC and DO<br />

did not vary significantly with depth in both covered and uncovered AWRs and hence those<br />

data were graphed as the average <strong>of</strong> all <strong>of</strong> the monitored depths.<br />

2

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