Quantitative assessment of sewer overflow performance with climate change in northwest England

Changes in rainfall patterns associated with climate change can affect the operation of a combined sewer system, with the potential increase in rainfall amount. This could lead to excessive spill frequencies and could also introduce hazardous substances into the receiving waters, which, in turn, would have an impact on the quality of shellfish and bathing waters. This paper quantifies the spilling volume, duration and frequency of 19 combined sewer overflows (CSOs) to receiving waters under two climate change scenarios, the high (A1FI), and the low emissions (B1) scenarios, simulated by three global climate models (GCMs), for a study catchment in northwest England. The future rainfall is downscaled, using climatic variables from HadCM3, CSIRO and CGCM2 GCMs, with the use of a hybrid generalized linear–artificial neural network model. The results from the model simulation for the future in 2080 showed an annual increase of 37% in total spill volume, 32% in total spill duration, and 12% in spill frequency for the shellfish water limiting requirements. These results were obtained, under the high emissions scenario, as projected by the HadCM3 as maximum. Nevertheless, the catchment drainage system is projected to cope with the future conditions in 2080 by all three GCMs. The results also indicate that under scenario B1, a significant drop was projected by CSIRO, which in the worst case could reach up to 50% in spill volume, 39% in spill duration and 25% in spill frequency. The results further show that, during the bathing season, a substantial drop is expected in the CSO spill drivers, as predicted by all GCMs under both scenarios

Data from: Investigating the allelic evolution of an imperfect microsatellite locus in the Hawaiian mushroom Rhodocollybia laulaha

The evolutionary mechanisms that give rise to microsatellite alleles remain poorly understood in general and are especially understudied for fungal microsatellite loci. The unusual G28 microsatellite locus was developed from the Hawaiian mushroom Rhodocollybia laulaha. Here we employ a novel approach to test for allele size homoplasy and examine competing mechanistic models of microsatellite evolution in the context of biogeographic expectations for this locus based on Hawaiian geologic history. Seven G28 alleles have been identified from a sampling of 153 individuals. The G28 locus is comprised of a tri-nucleotide, imperfect motif which permits examination of the relationships between alleles and allows for detection of potential size homoplasy within the repetitive element. Alignment of G28 allele sequence data across multiple unrelated individuals suggests that alleles of like size are homologous within Hawaii. A variety of gap coding methods are explored in the inference of allele evolution. Length differences between alleles appear to be the result of polymerase slippage at multiple positions in the repetitive element suggesting an intricate process of allelic evolution which is not necessarily stepwise. Complex migration scenarios must be invoked to explain the current geographic distribution of alleles if their evolution was in fact sequential (from longest to shortest or from shortest to longest) as predicted by the “progression rule”

Keirle et al., (SUPPLEMENTARY DOCUMENTS)

Keirle et al., (SUPPLEMENTARY DOCUMENTS