To quantify the impact of leaked CO2 purposefully stored in subsea geological formations on the marine ecosystem, CO2 gas was injected into sandy sediments in a small bay in Scotland in 2012. Alongside the experiment, a numerical study was conducted to predict CO2 fate in the bay. CO2 may take the form both of the gas and dissolved phases when it seeps out from the seafloor. The bubble CO2 rises in the water column forming bubble plumes and dissolves into the seawater during its ascent. Measurements indicated that approximately 8–15% of the injected CO2 escaped the sediments in the gas phase and no empirical evidence was seen for fluxes in the dissolved phase. Therefore, it is thought that 85–92% of the CO2 remained within the sediments. However, the results of our numerical study suggest that 10–40% of the injected CO2 stayed in the sediment. Apart from unexpected errors in the present numerical simulation, a possible explanation for this discrepancy may be the heterogeneous nature of the sediment and observations limited in time and space. It is also recognised that the CO2 concentration away from the injection site is undetectably small and that the readily detectable signal is confined to a small area in the vicinity of the injection point. This is a publication in QICS Special Issue - International Journal of Greenhouse Gas Control, Chiaki Mori et. al. Doi:10.1016/j.ijggc.2014.11.023.
Modelled annual average production loss (thousand tonnes per 1 degree by 1 degree grid cell) due to ground-level ozone pollution is presented for the crops maize (Zea mays), rice (Oryza sativa), soybean (Glycine max) and wheat (Triticum aestivum), for the period 2010-2012. Data are on a global scale, based on the distribution of production for each crop, according to the Food and Agriculture Organisation’s (FAO) Global Agro-Ecological Zones (GAEZ) crop production data for the year 2000. Modelled ozone data (2010-2012) needed for production loss calculations were derived from the EMEP MSC-W (European Monitoring and Evaluation Programme, Meteorological Synthesising Centre-West) chemical transport model (version 4.16). Mapping the global crop production losses due to ozone highlights the impact of ozone on crops and allows areas at high risk of ozone damage to be identified, which is a step towards mitigation of the problem. The production loss calculations were done as part of the NERC funded SUNRISE project (NEC06476) and National Capability Project NC-Air quality impacts on food security, ecosystems and health (NEC05574). Full details about this dataset can be found at https://doi.org/10.5285/0aa7911a-ab5f-4b08-a225-28b1e8344d01