Climate change impact on karstic aquifer hydrodynamics in southern Europe semi-arid region using the KAGIS model.

Nowadays, there are many urban settlements in arid and semiarid areas supplied by groundwater from adjacent small aquifers. Climate projections with expected decreases in averages precipitation values jointly with increases in the frequency of heavy rainfall events does not show a clear pattern to how water resources in karstic aquifers are going to evolve. This paper, focused in the province of Alicante (Southeast of Spain), assesses the behaviour of a small karstic aquifer, the Mela aquifer, whose resources supply urban water consumption for close municipalities. We assess the hydrogeological response of the aquifer, through the KAGIS black-box GIS-based model, for the present climate conditions and for the long period analysing the four scenarios provided by the International Panel of Climate Change. Main results prove that, if we do not diminish the greenhouse gas emissions, the climate change impact on the hydrological response of the study aquifer shows a decrease in the flow rate from its unique spring and will be non-existent during the summer months. So, it will be necessary to design supply strategies for these municipalities and to carry out them, meeting budget restrictions and avoiding potential water shortages.

Drone-based imaging to assess the microbial water quality in an irrigation pond: A pilot study.

Microbial water quality datasets are essential in irrigated agricultural practices to detect and inform measures to prevent the contamination of produce. Escherichia coli (E. coli) concentrations are commonly used to evaluate microbial water quality. Remote sensing imagery has been successfully used to retrieve several water quality parameters that can be determinants of E. coli habitats in waterbodies. This pilot study was conducted to test the possibility of using imagery from a small unmanned aerial vehicle (sUAV or drone) to improve the estimation of microbial water quality in small irrigation ponds. In situ measurements of pH, turbidity, specific conductance, and concentrations of dissolved oxygen, chlorophyll-a, phycocyanin, and fluorescent dissolved organic matter were taken at depths of 0-15 cm in 23 locations across a pond in Central Maryland, USA. The pond surface was concurrently imaged using a drone with three modified GoPro cameras, and a multispectral MicaSense RedEdge camera with five spectral bands. The GoPro imagery was decomposed into red, blue, and green components. Mean digital numbers for 1-m radius areas in the images were combined with the water quality data to provide input for a regression tree-based analysis. The accuracy of the regression-tree data description with "only imagery" inputs was the same or better than that of trees constructed with "only water-quality parameters" as inputs. From multiple cross-validation runs with "only imagery" inputs for the regression trees, the average (±SD) determination coefficient and root-mean-squared error of the decimal logarithm of E. coli concentrations were 0.793 ±â€¯0.035 and 0.131 ±â€¯0.011, respectively. The results of this study demonstrate the opportunities for using sUAV imagery for obtaining a more accurate delineation of the spatial variation of E. coli concentrations in irrigation ponds.

Standalone direct pumping photovoltaic system or energy storage in batteries for supplying irrigation networks. Cost analysis.

Solar photovoltaic systems have become one of the most popular topics in the water management industry. Moreover, irrigation networks are water- and energy-hungry, and utility managers are likely to adapt water consumption (and consequently energy demand) to the hours in which there is energy availability. In countries such as Spain (with high irradiance values), solar energy is an available green alternative characterised by zero electricity costs and significantly lower environmental impact. In this work, several types of irrigation scheduled programmes (according to different irrigation sectors) that minimise the number of photovoltaic solar panels to be installed are studied; moreover, the effects of the variable costs linked to energy (energy and emissions costs) are presented. Finally, the effect of incorporating batteries for storing energy to protect the system against emergencies, such as unfavourable weather, is proposed. The irrigation hours available to satisfy water demands are limited by sunlight; they are also limited by the condition that the irrigation schedule type has to be rigid (predetermined rotation) and that the pressure at any node has to be above minimum pressure required by standards. A real case study is performed, and the results obtained demonstrate that there is no universal solution; this is because the portfolio of alternatives is based on investments for purchasing equipment at present and also on future energy savings (revenues). Apart from these two values, there is an economic value (equivalent discontinuous discount rate), which also influences the final results.