Multivarijantne statističke metode "Cluster analiza i "Multidimensional scaling" analiza pokazale su da se pjezometri unutar zaštitnih zona crpilišta Strmec s obzirom na pokazatelje antropogenog ...zagađenja mogu grupirati u tri "cluster-a" ili grupe. Rezultati tih analiza omogućili su procjenu utjecaja odlagališta otpaga Trebež na podzemnu vodu crpilišta Strmec."Principal component" analiza odredila je najznačajnije makro i mikro komponente koje su ili koje mogu biti posljedica antropogenog zagađenja. Analiza vremenskih serija podataka ("Time series analysis") pokazala je trendove najznačajnijih komponenata.
Multivarijantne statističke metode "Cluster analiza i "Multidimensional scaling" analiza pokazale su da se pjezometri unutar zaštitnih zona crpilišta Strmec s obzirom na pokazatelje antropogenog ...zagađenja mogu grupirati u tri "cluster-a" ili grupe. Rezultati tih analiza omogućili su procjenu utjecaja odlagališta otpaga Trebež na podzemnu vodu crpilišta Strmec."Principal component" analiza odredila je najznačajnije makro i mikro komponente koje su ili koje mogu biti posljedica antropogenog zagađenja. Analiza vremenskih serija podataka ("Time series analysis") pokazala je trendove najznačajnijih komponenata.
The multivariate statistic methods: the cluster analysis and the Multidimensional scaling analysis showed the grouping of piezometers within sanitary protection zones in the three clusters, concerning the indexes of anthropogenic pollution. The results of the analysis provided the eveluation of the influences of the waste depository Trebež on the ground water of the Strmec well field. The principal component analysis revealed the most important macro and micro components, which are or could be the consequence of the anthropogenic pollution. The Time series analysis showed the trends of the most important components.
The multivariate statistic methods: the Cluster analysis and the Multidimensional scaling analysis showed the grouping of the piezometers within sanitary protection zones in the three clusters, ...concerning the indexes of anthropogenic pollution. The results of the analyses provided the evaluation of the influences of the waste depository Trebez on the ground water of the Strmec well field. The Principal component analysis revealed the most important macro and micro components, which are or could be the consequence of the anthropogenic pollution. The Time series analysis showed the trends of the most important components. PUBLICATION ABSTRACT
The multivariate statistic methods: the cluster analysis and the Multidimensional scaling analysis showed the grouping of piezometers within sanitary protection zones in the three clusters, ...concerning the indexes of anthropogenic pollution. The results of the analysis provided the eveluation of the influences of the waste depository Trebež on the ground water of the Strmec well field. The principal component analysis revealed the most important macro and micro components, which are or could be the consequence of the anthropogenic pollution. The Time series analysis showed the trends of the most important components.
This paper examines the short run sensitivity of willingness to pay (WTP) estimates for
groundwater quality and quantity in the presence of external shocks, using data from two
choice experiments ...implemented in Zagreb, Croatia. To assess the sensitivity of WTP
estimates we take advantage of a sudden deterioration in political stability, expressed by a
series of public protests that took place in the city during the data collection and compare
mean WTP estimates before and during the protests. We find that mean WTP for
groundwater quality and quantity is sensitive to the occurrence of the protest. The result
indicates that events unrelated to environmental quality and especially political instability
can influence the valuation of environmental goods. We interpret the result as an
indication that the choice experiment method is sensitive enough to capture changes in
WTP that are a result of sudden changes in the state of the world.
This paper examines the short run sensitivity of willingness to pay (WTP) estimates forgroundwater quality and quantity in the presence of external shocks, using data from twochoice experiments ...implemented in Zagreb, Croatia. To assess the sensitivity of WTPestimates we take advantage of a sudden deterioration in political stability, expressed by aseries of public protests that took place in the city during the data collection and comparemean WTP estimates before and during the protests. We find that mean WTP forgroundwater quality and quantity is sensitive to the occurrence of the protest. The resultindicates that events unrelated to environmental quality and especially political instabilitycan influence the valuation of environmental goods. We interpret the result as anindication that the choice experiment method is sensitive enough to capture changes inWTP that are a result of sudden changes in the state of the world.
This article proposes a numerically efficient approach for computing the maximal (or minimal) impact one agent has on the cooperative system it belongs to. For example, if one is able to ...disturb/bolster merely one agent in order to maximally disturb/bolster the entire team, which agent to choose? We quantify the agent-to-system impact in terms of H∞ norm whereas output synchronization is taken as the underlying cooperative control scheme. The agent dynamics are homogeneous, second order and linear whilst communication graphs are weighted and undirected. We devise simple sufficient conditions on agent dynamics, topology and output synchronization parameters rendering all agent-to-system H∞ norms to attain their maxima in the origin (that is, when constant disturbances are applied). Essentially, we quickly identify bottlenecks and weak/strong spots in multi-agent systems without resorting to intense computations, which becomes even more important as the number of agents grows. Our analyses also provide directions towards improving communication graph design and tuning/selecting cooperative control mechanisms. Lastly, numerical examples with a large number of agents and experimental verification employing off-the-shelf nano quadrotors are provided.
Many published reports have documented an increased prevalence of chronic medical conditions among veterans, but there were only a few studies that compared these increases with the general ...population. The aim of this study was to determine differences in chronic medical conditions between Croatian war veterans and the general population. This study included two groups of subjects, i.e. 1453 participants who are Croatian war veterans and 1429 participants from the general population. Medical history, physical examination, laboratory tests and specific diagnostic procedures were taken during systematic physical examination in both groups. The prevalence of hypertension, diabetes, hyperlipidemia, hypothyroidism and hyperthyroidism, chronic obstructive pulmonary disease, coronary heart disease, malignancy, psychiatric diseases, cholelithiasis, nephrolithiasis, smoking and alcohol consumption was analyzed. Croatian war veterans were found to be more likely to develop hypertension than individuals in the general population (29.5% vs. 24.3%), as well as diabetes (7.3% vs. 3.8%), hyperlipidemia (56.4% vs. 27.3%), hyperthyroidism (3.1% vs. 0.8%), coronary heart disease (4.3% vs. 1%), malignancy (4.1% vs. 2.2%), psychiatric diseases (15.4% vs. 1.1%), and alcohol consumption (53% vs. 29%). Significant difference was found in favor of the general population for hypothyroidism (14.3% vs. 8%). There were no differences in the prevalence of chronic obstructive pulmonary disease, cholelithiasis, nephrolithiasis, and smoking. Our findings confirmed the hypothesis of a higher prevalence of cardiovascular diseases, malignancy and psychiatric diseases among Croatian war veterans and emphasized the need of better control of their medical conditions.
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