Land use change and nutrients simulation for the Siah Darvishan basin of the Anzali wetland region, Iran

The Anzali Ramsar Convention wetland is located in an ecologically and economically important region in Iran. The wetland is largely surrounded by agriculture, natural forests and rangelands (approximately 36% and 63%, respectively). Urban areas consist of less than 1% of the total area. Urban land use produces the highest rates of nutrient transfer into the lake as TN, TP and BOD5 equal to 24, 2.4 and 79 Kg/ha/year, respectively, whilst, natural land use produces the lowest rate as 10, 1.3 and 27 kg/ha/year. These results will inform the future sustainable management of this important wetland in this ever increasingly water stressed region in Iran.

Application of enhanced membrane bioreactor (eMBR) to treat dye wastewater

An enhanced membrane bioreactor (eMBR) consisting of two anoxic bioreactors (ARs) followed by an aerated membrane bioreactor (AMBR), UV-unit and a granular activated carbon (GAC) filter was employed to treat 50-100 mg/L of remazol blue BR dye. The COD of the feed was 2334 mg/L and COD:TN:TP in the feed was 119:1.87:1. A feed flow rate of 5 L/d was maintained when the dye concentration was 50 mg/L; 10 L/d of return activated sludge was recirculated to each AR from the AMBR. Once the biological system is acclimatised, 95% of dye, 99% of COD, 97% of nitrogen and 73% of phosphorus were removed at a retention time of 74.4 h. When the effluent from the AMBR was drawn at a flux rate of 6.5 L/m(2)h, the trans-membrane pressure reached 40 kPa in every 10 days. AMBR effluent was passed through the UV-unit and GAC filter to remove the dye completely.

Spatial analysis of urban stormwater quality

Urban stormwater non-point source pollutants are recognized as a major cause of receiving waters quality deterioration. To date most research has focused on specifying temporal variations of stormwater quality parameters which includes high uncertainties and also increases the risk of pollution control structures failure. Traditionally, the temporal variations of quality parameters in forms of either pollutograph or Event Mean Concentration (EMC) is obtained by sampling stormwater at the outlet of urban catchments for quality analysis in addition to measurement of flow rate over years. Spatial variations of the runoff quality are the key factor in non-point source pollution studies. This research investigates spatial variability of urban runoff quality parameters such as Total Phosphorous (TP), Total Nitrogen (TN), Suspended Solids (SS) and Biochemical Oxygen Demands (BOD) in relation to land use of urban catchments. In spatial analysis, stormwater will be sampled over the whole catchment area for a number of rainfall events during a year without any requirement to measure flow rate. This research showed comparable results for average pollutant concentrations with those of other urban catchments in Australia where traditional sampling method was used. The research outcomes will reliably estimate pollutants concentration for improved and efficient design of pollution control structures for each land use.

A comprehensive formal ranking of the popularity of financial ratios in multivariate modeling of corporate collapse

This paper provides a fonnal ranking of the popularity of financial ratios in modeling corporate collapse. The analysis identified 48 financial ratios and ranked them according to their usefulness as portrayed in 53 studies that have utilized such ratios in modeling corporate collapse. The methodologies adopted in those studies are predominantly of the "multivariate" type. The 53 studies extend from 1966 to 2002, inclusive.

Connection between commonly used financial ratios and misrepresentation of financial statements of collapsed corporations

This paper unravels dynamic and intriguing shifts in the use of financial ratios in signaling corporate collapse. An empirical examination of the anecdotal evidences from notable recent corporate collapses coupled with the short-lived usefulness of financial ratios in various prediction models suggest that companies(1) that deliberately misrepresent their financial statements may have taken cues from the ratios that are commonly investigated. This proposition is supported by an extensive examination of over 50 studies conducted between 1968 and 2002. The erosion in the reliability of numbers in financial statements has led to significant distortions in the predictive power of financial ratios when used in signaling corporate collapse. Recent collapses such as Parmalat in Europe, Enron and WorldCom in the U.S. and HIH in Australia, present yet another reminder that financial statement items are being misrepresented. These are all large corporations with well-established household names, and are for sure closely monitored by financial communities around the globe. Nevertheless, a common thread seems to link the collapse of these companies: none of these collapses were foreseen by credit rating agencies or foretold by the widely accepted bankruptcy prediction models. Why? This paper attempts to use some anecdotal evidence in order to provide logical explanations to the existence of such a common thread. It argues that there appears to be anecdotal evidence to suggest that directors of publicly listed companies that have collapsed may have deliberately misrepresented financial statement items.

Financial fraud and the use of ratios in corporate collapse prediction models

This paper highlights the prevalence and extent of financial fraud amongst collapsed corporations. In doing so, it examines the recent spectacular corporate collapses of Parmalat in Europe, Enron and WoridCom in the USA and HIH in Australia. A new methodology that provides empirical evidence to the financial fraud claims found in the literature, is then put forward. The proposed methodology argues that if financial fraud was a possibility amongst collapsed corporations, then two premises ought to be observed in the literature on ratio based multivariate modelling for predicting corporate collapse. First, in the absence of financial fraud, we expect the models to consistently predict corporate collapse with a high degree of accuracy; particularly, as one approaches the incident of collapse. Second, if financial fraud takes place and statement figures are distorted, then we expect the financial ratios, which are the predictor variables in these models, to lose relevance and therefore their use in models will be short-lived. Empirical support from Hossari and Rahman (2004) and Hossari and Rahman (2005) is presented as evidence to the two premises.

Time-varying hedge ratios: an application to the Indian stock futures market

This paper investigates time-varying optimal hedge ratios in individual stock futures markets in India. The analysis employs data on individual stock futures from an unexplored but highly traded (both in terms of volume and quantity) emerging market. The hedge ratios derived in this study incorporate mean reversion in volatility, which is an important extension of the bivariate BEKK-GARCH model of Engle and Kroner. This extension generates improved optimal hedge ratios over the traditional BEKK-GARCH model and static error correction type alternatives.

An examination of the effect on debt/equity ratios with the adoption of IAS 19 : employee benefits

A number of countries have adopted the International Financial Reporting Standards (IFRS) as a means of harmonising financial statements. .This paper examines the effect of the adoption of IFRS, relating to post employment benefits and its effects on debt/equity ratios. The adoption of the IFRS resulted in most companies reporting a substantial increase in liabilities, a
decrease in shareholders’ equity and a corresponding increase
in debt/equity ratios.

Time varying hedge ratios : an application to the Indian stock futures market

This paper investigates time-varying optimal hedge ratios in individual stock futures markets in India. The analysis employs data on individual stock futures from an unexplored but highly traded (both in terms of volume and quantity) emerging market. The hedge ratios derived in this study incorporate mean reversion in volatility, which is an important extension of the bivariate BEKK-GARCH model of Engle and Kroner. This extension generates improved optimal hedge ratios over the traditional BEKK-GARCH model and static error correction type alternatives.

An innovative analyser for email classification based on grey list analysis

In this paper we propose a new technique of email classification based on grey list (GL) analysis of user emails. This technique is based on the analysis of output emails of an integrated model which uses multiple classifiers of statistical learning algorithms. The GL is a list of classifier/(s) output which is/are not considered as true positive (TP) and true negative (TN) but in the middle of them. Many works have been done to filter spam from legitimate emails using classification algorithm and substantial performance has been achieved with some amount of false positive (FP) tradeoffs. In the case of spam detection the FP problem is unacceptable, sometimes. The proposed technique will provide a list of output emails, called "grey list (GL)", to the analyser for making decisions about the status of these emails. It has been shown that the performance of our proposed technique for email classification is much better compare to existing systems, in order to reducing FP problems and accuracy.

Oxygen and hydrogen isotopic ratios and chemistry in semiarid land river water, Southwest Victoria, Australia

Salt in a salt lake accumulated as a result of perfect evaporation of inflow water during the dry season. Water in a salt lake had a high salinity and its isotope indicated a little evaporation in the wet season because precipitation replenished the salt lake and there was no residual water during evaporation process in salt lake. In a marsh, both perfect and partial disappearance of water by repeated evaporation and water supply from upstream contributed to high salinity and high isotopic ratios because residual water had high isotopic ratios and dried areas accumulated salt. On the other hand, salinity and isotopic ratios depended on ratio of evaporation and water supply during evaporation excluding perfect disappearance of water.

Connection between commonly used financial ratios and misrepresentation of financial statements of collapsed corporations

This paper unravels dynamic and intriguing shifts in the use of financial ratios in signaling corporate collapse. An empirical examination of the anecdotal evidences from notable recent corporate collapses coupled with the short-lived usefulness of financial ratios in various prediction models suggest that companies(1) that deliberately misrepresent their financial statements may have taken cues from the ratios that are commonly investigated. This proposition is supported by an extensive examination of over 50 studies conducted between 1968 and 2002. The erosion in the reliability of numbers in financial statements has led to significant distortions in the predictive power of financial ratios when used in signaling corporate collapse. Recent collapses such as Parmalat in Europe, Enron and WorldCom in the U.S. and HIH in Australia, present yet another reminder that financial statement items are being misrepresented. These are all large corporations with well-established household names, and are for sure closely monitored by financial communities around the globe. Nevertheless, a common thread seems to link the collapse of these companies: none of these collapses were foreseen by credit rating agencies or foretold by the widely accepted bankruptcy prediction models. Why? This paper attempts to use some anecdotal evidence in order to provide logical explanations to the existence of such a common thread. It argues that there appears to be anecdotal evidence to suggest that directors of publicly listed companies that have collapsed may have deliberately misrepresented financial statement items.