top of page

​

  • Discharge from rivers; The primary discharge from the river Göta Älv and the stream Stora Ån.

  • Landuse; Includes build areas, hard surfaces and other highly anthropogenic explorations.

  • Pollution; Differents kinds of pollution that are affecting the area, both from the study area and upstreams outside the study area.

  • Precipitation; The average amount of precipitation in the area.

  • Sea currents; How strong the currents are and direction, for this study the Baltic- and the Jutland current are the most important.

  • Sediment; Includes the sediment load. grain size and organic material

  • Wind; The average wind strength and direction.

​

​

​

Risk Assessment

ESI

In Environmental Sensitivity index, beach types was found from Naturvårdsverket; Miljödatabasen. The information was exported as a shapefile and was put into ArcGIS. Further, the present beach types was detected and estimated about which that are the dominant ones in the area. This information will emphasize which areas that will be more affected by pollution, and how it will spread and accumulate. Also, it will work as basic data for evaluation of the risk ranking analysis.  How ESI work is described in Petersen J. from 2002 on the behalf of NOAA, and this report handles only the first steps. The final product of an ESI are additionally consisting of for example slope, exposure to waves and biological activity. leading to a final sensitivity ranking.


​

RRR

In the Relative Risk Ranking (RRR), sources, stressors, indicators and habitats were defined to suit varied places on earth. This because one of the key parts in this course within this report is written, is to compare the results of the RRR with results from other study areas. The parameters is listed in the Table to the right, with each abbreviation in parenthesis underneath. Three regions were chosen within the study area, the Gothenburg mainland, the Harbour and Shoreline.

Table 1: Parameters for sources, stressors, indicators and habitats listed with abbreviations used in risk ranking, the abbreviations are important to keep in mind for chapter 3.3 there the results are presented.

the film
Mining

Modeling Tools

System Analysis

Parameters were selected wherefrom how important they are for the aspect of pollutant spreading and what types of processes that affect the extent of spreading of materials. In Microsoft Excel, a cross-impact matrix was made to weight how much each parameter affect the others in study area. The parameter are listed to the right, with their description.

​

These parameters are further used as a basis for a cause-effect diagram, for RRR. The result is further illustrated in and flow chart and a cause-effect diagram.

​

​

​

SimaClim

The estimated values from the parameters and definitions of sources, stressors, indicators and habitats was put in the SimaClim modelling program in Excel. There, the calculations of the risk ranking was done, by weighting the different parameters. For each region, three types of relationships were illustrated in a diagramm; Sources versus Indicators, Stressors versus Indicators and Habitats versus Indicators. The result that are portrayed in the diagrams are done by calculations that can not be affected or seen, and some of the control over the result is therefore lost. The SimaClim modelling of risk ranking is also more of a estimation in vulnerability and probability. Still, it will give an indicator of the environmental issues that an area has.​

​

bottom of page