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3 result(s) for "Posavec, K"
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Sixty years of global progress in managed aquifer recharge
The last 60 years has seen unprecedented groundwater extraction and overdraft as well as development of new technologies for water treatment that together drive the advance in intentional groundwater replenishment known as managed aquifer recharge (MAR). This paper is the first known attempt to quantify the volume of MAR at global scale, and to illustrate the advancement of all the major types of MAR and relate these to research and regulatory advancements. Faced with changing climate and rising intensity of climate extremes, MAR is an increasingly important water management strategy, alongside demand management, to maintain, enhance and secure stressed groundwater systems and to protect and improve water quality. During this time, scientific research—on hydraulic design of facilities, tracer studies, managing clogging, recovery efficiency and water quality changes in aquifers—has underpinned practical improvements in MAR and has had broader benefits in hydrogeology. Recharge wells have greatly accelerated recharge, particularly in urban areas and for mine water management. In recent years, research into governance, operating practices, reliability, economics, risk assessment and public acceptance of MAR has been undertaken. Since the 1960s, implementation of MAR has accelerated at a rate of 5%/year, but is not keeping pace with increasing groundwater extraction. Currently, MAR has reached an estimated 10 km3/year, ~2.4% of groundwater extraction in countries reporting MAR (or ~1.0% of global groundwater extraction). MAR is likely to exceed 10% of global extraction, based on experience where MAR is more advanced, to sustain quantity, reliability and quality of water supplies.
Impact of the jakusevec-prudinec waste disposal site on groundwater quality
The main goal of the research shown in this paper is to investigate the cause and effect relation of the Jakusevec-Prudinec waste disposal site and the groundwater pollution. The recovery of the Jakusevec-Prudinec waste disposal site by the end of 2003 did not have any significant impact on the pollution reduction in groundwater. Very high values of the pollution index defined in the area southeastern from the waste disposal site show spreading of the pollution toward Micevec village. The analysis of the hydrogeochemical characteristics showed that in the waste disposal site area the local geochemical anomalies of the partial CO2 pressure exist, indicating that the intensive carbonate dissolution processes and HCO3-enrichment dominate in this area. Near the border of the waste disposal site groundwater with high ammonium ion (NH4+) and chloride ion (CI-) dominates. THe high concentrations of the heavy metals and very strong geochemical bonds determined from the correlation coefficients show that in the reductive aquifer conditions heavy metals strongly release.
Assessing forest value with the eigenvector method
The objective of this paper is to test the possibility of applying multi-criteria programming as a decision-making tool for assessing the value of a management unit. A combined calculation method was used to determine the total value of the growing stock, forestland, non-wood forest functions, game management, forest roads and secondary forest products for the Management Unit Gaj, Forest Office Našice. The proposed mathematical model can also be used to support an optimal decision-making process in forest management. Saatys eigenvector method (AHP) was used. This method allows for the inclusion of a large set of complex factors influencing the basic evaluation purpose. The development of computer technology has played an important role in solving mathematical modelling problems by making it possible to develop and apply operational research. Expert Choice and Statistica 6.0 programmes were used. This paper is a contribution to the already broadly used modern methods of evaluating renewable natural resources and establishing scientific foundations for a suitable method of determining forest value.