WebPIPA （Web Based Paddy Irrigation Productivity Assessment）： An Online Irrigation Water Supply Management for Tanjung Karang Rice Irrigation Scheme （TAKRIS）

Irrigation water management has significant economic implications in developing countries like Malaysia. As in many countries, Malaysia is also espousing internet as a platform of new possibilities for information access and sharing. Thus web based decision tools are pertinent in managing water, which is becoming a source of conflict between domestic, industry and agricultural use in this emerging technological and information age. Decision Support System （DSS） created in the past was theoretically acceptable but practically not effective in the transfer of scientific knowledge from research labs to the end-users to support them in decision making. The Web Based Paddy Irrigation Productivity Assessment （WebPIPA） is an example of DSS created to provide an effective conduit for the transfer of scientific knowledge from research labs to the end-users to support them in decision making. WebPIPA serves as an innovative, user friendly and efficient management tool for run-of-river rice irrigation system. It is a web based program that requires users to login through user name and password WebPIPA is developed using Net framework and ASP. Net Programming Languages of Microsoft. Net 2003 environment. A 3-tier architecture framework was carefully studied and was implemented to create the WebP1PA model. Mathematical model developed for aiding irrigation decisions must be oriented towards addressing various issues in addition to the scientific ones for better acceptability. All government and private agencies, researchers, station users, farmers, investors and buyers related to this study area will be able to access and share the database through the internet. By strengthening the involvement of government departments, the database can be very effectively used by all stakeholders at the same time narrowing the gap between the urban and rural communities in the development of country.

A stock assessment for Illex argentinus in Southwest Atlantic using an environmentally dependent surplus production model

The southern Patagonian stock（SPS） of Argentinian shortfin squid, Illex argentinus, is an economically important squid fishery in the Southwest Atlantic. Environmental conditions in the region play an important role in regulating the population dynamics of the I. argentinus population. This study develops an environmentally dependent surplus production（EDSP） model to evaluate the stock abundance of I. argentines during the period of 2000 to 2010. The environmental factors（favorable spawning habitat areas with sea surface temperature of 16–18°C） were assumed to be closely associated with carrying capacity（K） in the EDSP model. Deviance Information Criterion（DIC） values suggest that the estimated EDSP model with environmental factors fits the data better than a Schaefer surplus model without environmental factors under uniform and normal scenarios.The EDSP model estimated a maximum sustainable yield（MSY） from 351 600 t to 685 100 t and a biomass from 1 322 400 t to1 803 000 t. The fishing mortality coefficient of I. argentinus from 2000 to 2010 was smaller than the values of F（0.1） and F（MSY）. Furthermore, the time series biomass plot of I. argentinus from 2000 to 2010 shows that the biomass of I.argentinus and this fishery were in a good state and not presently experiencing overfishing. This study suggests that the environmental conditions of the habitat should be considered within squid stock assessment and management.

Cleaner Production Assessment in Textile Industry

Cleaner Production focuses on environmental improvement with economic benefits. Based on the benefit assessment home and abroad, the assessment method and process in textile industry is discussed, including maneuverable indicator system, mathematics model. According to corresponding principles of Cleaner Production, representative problems are mentioned. With Analytic Hierarchy Process and Fuzzy Mathematics, some enterprise is collected to attain the economic, environmental and social benefit of Cleaner Production. The results show that Cleaner Production improves utilization efficiency of resources, energy sources even waste, and creates conditions of Sustainable Development in textile industry.

Global warming potential associated with Irish milk powder production

Climate change is an ever growing issue and a major concem worldwide. Both producers and processors need to address the issue now by reducing, their carbon footprint. Additionally, if Ireland is to meet their climate and energy targets, as outlined in Food Harvest 2020, which outlines a range ot objectives for the Irish agricultural sector, the efficient use of resources and fuels within the industry will need to be increased. In Ireland, agriculture accounts for 29.2% of the total greenhouse gas powder, is examined in order to estimate the global warming potential （GWP） associated with its manufacture using life cycle assessment. A cradle-to-processing factory gate analysis, which includes raw milk production, raw milk transportation to the processmg tactory, its processing into eacla product and product packaging, is assessed in this study using data collected circa 2013. The factories surveyed processed approximately 24% of the total raw milk processed in the Republic of Ireland in 2013, which was 5.83 billion liter. The average total GWP associated with the manufacture of milk powder is 9.731 kg CO2eq·kg^-1 milk powder, which has a standard deviation of 2.26 kg CO2eq·kg^-1 milk powder, for the life cycle stages analyzed in this study. The most significant contributor to GWP is raw milk production （84%）, followed by dairy processing （14%）, with the remainder of the life cycle stages contributing approximately 2%.