Regional Industries and Environmental Impacts. Long-run Regional Economic Effects of Climate Change: The Case of the Coastal and Estuary Zone of the German Northwest

The paper explores the relations of (1) regionalized climate change impulses; (2) their impacts on regional industry sectors; and (3) a regional econometric impact analysis. It develops a methodology by which the impulses of a regional climate change scenario can be transformed into ‘primary’ impacts on the capital stock and value added of climate-sensitive regional industries. These industries are vulnerable to ‘creeping’, i.e. continuous, climate change impulses, and they tend to react through ‘defensive’ investment. In addition, a singular flooding event is simulated for a specific local area and its different capital stocks. The stock damages and value-added losses of both the continuous industrial impacts and the singular flooding are inserted into a regional econometric model. This is sectorally disaggregated in stock, value-added and investment functions. It is also calibrated in the very-long run (through to the year 2040), according to different scenarios. The regional economic ‘secondary’ effects on the regional GNP are calculated. In addition to the calculation of regional economic primary and secondary impacts, the methodological issue of generating more transparency of the causal chains by use of damage functions, reaction functions, and comparative defensive strategies are discussed.     

Simplifying and improving the extraction of nitrate from freshwater for stable isotope analyses

Determining the isotopic composition of nitrate (NO(3)(-)) in water can prove useful to identify NO(3)(-) sources and to understand its dynamics in aquatic systems. Among the procedures available, the 'ion-exchange resin method' involves extracting NO(3)(-) from freshwater and converting it into solid silver nitrate (AgNO(3)), which is then analysed for (15)N/(14)N and (18)O/(16)O ratios. This study describes a simplified methodology where water was not pre-treated to remove dissolved organic carbon (DOC) or barium cations (added to precipitate O-bearing contaminants), which suited samples with high NO(3)(-) (≥ 00 μM or 25 mg L(-1) NO(3)(-)) and low DOC (typically < 17 μM of C or 5 mg L(-1) C) levels. % N analysis revealed that a few AgNO(3) samples were of low purity (compared with expected % N of 8.2), highlighting the necessity to introduce quality control/quality assurance procedures for silver nitrate prepared from field water samples. Recommendations are then made to monitor % N together with % O (expected at 28.6, i.e. 3.5 fold % N) in AgNO(3) in order to better assess the type and gravity of the contamination as well as to identify potentially unreliable data.     

Life cycle assessment of second generation (2G) and third generation (3G) mobile phone networks

The environmental performance of presently operated GSM and UMTS networks was analysed concentrating on the environmental effects of the End-of-Life (EOL) phase using the Life Cycle Assessment (LCA) method. The study was performed based on comprehensive life cycle inventory and life cycle modelling. The environmental effects were quantified using the IMPACT2002+ method. Based on technological forecasts, the environmental effects of forthcoming mobile telephone networks were approximated. The results indicate that a parallel operation of GSM and UMTS networks is environmentally detrimental and the transition phase should be kept as short as possible. The use phase (i.e. the operation) of the radio network components account for a large fraction of the total environmental impact. In particular, there is a need to lower the energy consumption of those network components. Seen in relation to each other, UMTS networks provide an environmentally more efficient mobile communication technology than GSM networks. In assessing the EOL phase, recycling the electronic scrap of mobile phone networks was shown to have clear environmental benefits. Under the present conditions, material recycling could help lower the environmental impact of the production phase by up to 50%.