Modelling Temperature Trends in New Zealand

If global warming is accelerating, then one might expect temperatures for most stations to be accelerating and perhaps variability to be increasing. In this study, we examine 57 New Zealand temperature time series for evidence of non-linearity and changing variability. These correspond to time series for annual minima, annual means and annual maxima for 19 stations. Estimation is by an extended least-squares method. We find a surprising diversity of behaviour of these series – presumably reflecting their different geographic factors as well as series length. We give evidence of regions where temperatures are decreasing. For series where a linear trend is significant, it is downwards in about one third of the cases. This proportion was higher in the South Island, especially for series of minima. Where a non-linear trend is significant, temperatures are decelerating in about one half of the cases. The ratio of downward to upward trends is highest among annual maxima and South Island minima and smallest in annual means. Where a linear trend in the variability is significant, it is decreasing in 13 cases and increasing in 5 cases, although possibly this is partly due to poorer quality data last century. Where a non-linear trend in the variability is significant, variability is decelerating in about two thirds of the cases. The results are used to project upper and lower return levels of minima, means and maxima for each of the series to the year 2010.     

Estimation of Water Demand in Iran Based on SARIMA Models

The generation of synthetic, residential water demands that can reproduce essential statistical features of historical residential water consumption is essential for planning, design, and operation of water resource systems. Most residential water consumption series are seasonal and nonstationary. We employ the seasonal autoregressive integrated moving average (SARIMA) model. We fit this model to monthly residential water consumption in Iran from May 2001 to March 2010. We find that a three-parameter log-logistic distribution fits the model residuals adequately. We forecast values for 1 year ahead using the fitted SARIMA model.     

Cytotoxicity of the herbicide basalin (fluchloralin) in helianthus and linum

Abstract

The herbicide Basalin [Fluchloralin: N‐propyl‐N (2 chloroethyl) ‐2,6—dinitro‐n‐trifluoromethyl aniline] was found to reduce the germination percentage in both Helianthus annuus L. and Linum usitatissimum L.. Treatment with Basalin also decreased the mitotic index and increased the total chromosomal abnormalities in these crops. Chromosomal abnormalities arising due to mitotic spindle disruption were commonly observed.     

Trends and Perspectives of Biosensors for Food and Environmental Virology

Food and environmental virology has become a very important and interesting area of research because of food safety and public health concerns. During the last few decades, increasing foodborne diseases and environmental generated illnesses are considered to be highly challenging issues. Biosensor technology holds great promise for the healthcare market, and the security sector. Similar to clinical diagnostic tools, biosensors are being developed for the rapid, reliable, yet inexpensive identification and enumeration of pathogenic viruses which are adulterating environment, food and feed commodities. In this modern era, bio-and nano-technologies play a pivotal role in virological diagnostics of food industry, environmental and veterinary samples. This review covers the recent advances and future prospects of nanotechnology-based bioanalytical microsystems for food and environmental virology.     

N-doped mesoporous alumina for adsorption of carbon dioxide

N-doped mesoporous alumina has been synthesized using chitosan as the biopolymer template. The adsorbent has been thoroughly investigated for the adsorption of CO₂ from a simulated flue gas stream (15% CO₂ balanced with N₂) and compared with commercially available mesoporous alumina procured from SASOL, Germany. CO₂ adsorption was studied under different conditions of pre-treatment and adsorption temperature, inlet CO₂ concentration and in the presence of oxygen and moisture. The adsorption capacity was determined to be 29.4 mg CO₂/g of adsorbent at 55℃. This value was observed to be 4 times higher in comparison to that of commercial mesoporous alumina at a temperature of 55℃. Basicity of alumina surface coupled with the presence of nitrogen in template in synthesized sample is responsible for this enhanced CO₂ adsorption. Adsorption capacity for CO₂ was retained in the presence of oxygen; however moisture had a deteriorating effect on the adsorption capacity reducing it to nearly half the value.     

Working on the sustainability of local communities with a “community-engaged” research methodology

Abstract

The Globalism Institute at Royal Melbourne Institute of Technology (RMIT) University in Melbourne is conducting research on local responses to globalisation across 10 local communities in seven different countries. The project's “community-engaged research methodology” was developed first in the Hamilton region in southwest Victoria, where staff from the university have been working in community partnerships for nearly 20 years. This research methodology differs from action research in that it sustains a clear distinction between the knowledge and skills of “outside” researchers and the hard-won local knowledge of community members. It is based on respectful dialogue and a clear commitment to maintain relationships for a matter of years rather than weeks. It involves the creation of “spaces for engagement” that can lead to multiple, sometimes unexpected, outcomes. It integrates a range of research methods (including surveys, story collection, strategic conversations, photo-narrative techniques, and research journals) that generate rich data to be used (subject to consent) by both community-based and university-based researchers. The research methods are linked to forms of analysis that relate local experiences to broader social processes. Community-engaged research takes time and patience but it can ensure good feedback and support mechanisms, good-quality data, locally relevant research outcomes and a process that can be convivial for all involved.     

Preparation and characterization of bio-composite films obtained from coconut coir and groundnut shell for food packaging

Journal of Material Cycles and Waste Management - A great deal of focus has been given to finding a bio-composite film to substitute petroleum-based synthetic plastic in recent years. Many animals...     

Hexavalent chromium reduction and plant growth promotion by Staphylococcusarlettae strain Cr11

Cr(VI), a mutagenic and carcinogenic pollutant in industrial effluents, was effectively reduced by an indigenous tannery effluent isolate Staphylococcus arlettae strain Cr11 under aerobic conditions. The isolate could tolerate Cr(VI) up to 2000 and 5000 mg L⁻¹ in liquid and solid media respectively. S. arlettae Cr11 effectively reduced 98% of 100 mg L⁻¹ Cr(VI) in 24 h. Reduction for initial Cr(VI) concentrations of 500 and 1000 mg L⁻¹ was 98% and 75%, respectively in 120 h. The isolate was also positive for siderophore, indole acetic acid, ammonia and catalase production, phosphate solubilization and biofilm formation in the presence and absence of Cr(VI). The isolate showed halotolerance (10% NaCl) and cross tolerance to other toxic heavy metals such as Hg²⁺, Ni²⁺, Cd²⁺ and Pb²⁺. Bacterial inoculation of Triticum aestivum in controlled petri dish and soil environment showed significant increase in percent germination, root and shoot length as well as dry and wet weight in Cr(VI) treated and untreated samples. This is the first report of simultaneous Cr(VI) reduction and plant growth promotion for a S. arlettae strain.     

Assessing Multi-site Drought Connections in Iran Using Empirical Copula

Drought is a multi-dimensional natural hazard with stochastic characteristics usually related to each other. Separate univariate statistical models cannot capture the important relationships among drought characteristics, that is, severity and duration. In this study, an empirical copula is employed to construct a bivariate model of droughts, where droughts are defined as continuously negative standardized precipitation index (SPI) periods with one SPI value reaching ?1 or less. Bivariate frequency analyses in terms of recurrence intervals are performed using the established empirical copula-based bivariate drought model. The inter-connection among different regions of droughts is explored by a lower tail dependence coefficient. A nonparametric estimation based on an empirical copula is employed pairwisely to calculate the lower tail dependence coefficient among stations. The proposed method is applied to six rainfall gauge stations in Iran to explore drought properties of single sites as well as the inter-connection among multi-sites. The results show that greater mean drought severity and duration are associated with the least arrival rate of drought events, which occurs at the Ahwaz station. The tail dependence analysis reveals that distance between stations is not a key parameter. Generally, the Ahwaz and Isfahan stations have the highest probability of simultaneous droughts among the six stations.