An assessment of the environmental compliance monitoring capacity of the Department of Minerals and Energy, Eastern Cape
- Authors: Watkins, Deidre Ann
- Date: 2009
- Subjects: South Africa. Dept. of Mineral and Energy Affairs Mines and mineral resources -- South Africa -- Eastern Cape Mineral industries -- South Africa -- Eastern Cape Mineral industries -- Social aspects -- South Africa -- Eastern Cape Mineral industries -- Environmental aspects -- South Africa -- Eastern Cape Mines and mineral resources -- Social aspects -- South Africa -- Eastern Cape Mines and mineral resources -- Environmental aspects -- South Africa -- Eastern Cape Environmental auditing -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:728 , http://hdl.handle.net/10962/d1003848
- Description: One of the greatest challenges facing the world today is integrating industrial activities such as mining with environmental integrity and social concerns. Monitoring is fundamental to environmental management, both to assess the adherence to standards and to allow environmental managers to learn from practical experiences. However, a problem arises when the regulatory authorities cannot keep up with their mandate of enforcement and compliance monitoring. This research examined how the Department of Minerals and Energy (DME) implements the concept of sustainable development in the mining sector of the Eastern Cape (EC) and, more specifically, the extent to which the Mine Environmental Management (MEM) section is able to effectively monitor compliance of mining operations with environmental legislation. This was the first systematic compilation of statistical data for the DME, and presents the first study in the EC regional office in terms of environmental sustainability. Results indicate that there has been a sustained increase in mining activity over the past three years, possibly as a result of the boom in the construction industry and the accelerated road maintenance and improvement programmes in the Eastern Cape. Mining applications received by the DME have increased by 47% from 2006 to 2007 (January-May) and by a further 100% from 2007 to 2008. In addition to the increasing number of mining concerns being established, 98 mining concerns will need to apply for the conversion of their old order rights to new order rights by the 1st May 2009. Mining in the province is predominantly small scale with mining permits (mined areas less than 1.5Ha) making up 52.3% of all applications, with larger mining concerns contributing 29.3% and prospecting contributing the remaining 18.4%. In terms of compliance inspections, the EC regional office is required to conduct 120 environmental compliance inspections annually in terms of contributing to sustainable development. The MEM section exceeded this target since 2003. However, when the number of operational mines is considered, 120 inspections per year equates to one mine being visited, on average once every four years (based on 2008 data). Based on projected figures (number of compliance audits and number of operational mines) for 2009, the DME’s target of 150 inspections for 2009/10 combined with the limited staff D. Watkins – MBA Dissertation 2008 capacity will, at best, mean that mines would be inspected once in seven years. However, the target of 150 inspections will not actually even cover the expected number of EMP evaluation inspections. This has serious implications in terms of regulating the compliance of the mining concerns with their EMPR’s. The low level of compliance monitoring can be directly related to staff capacity and logistics problems at the regional office as well as provincial targets being based on staff capacity rather than the number of operational mines. Thus, considering potential environmental damage associated with mining operations and the capacity constraints of the MEM to conduct frequent compliance audits, it is likely that mining operations will have negative implications for sustainable development in the region. Currently there are many challenges facing the DME in terms of contributing positively to sustainability in the mining sector and there is a need to base future actions on the idea of continuous improvement and ultimately progress.
- Full Text:
- Date Issued: 2009
- Authors: Watkins, Deidre Ann
- Date: 2009
- Subjects: South Africa. Dept. of Mineral and Energy Affairs Mines and mineral resources -- South Africa -- Eastern Cape Mineral industries -- South Africa -- Eastern Cape Mineral industries -- Social aspects -- South Africa -- Eastern Cape Mineral industries -- Environmental aspects -- South Africa -- Eastern Cape Mines and mineral resources -- Social aspects -- South Africa -- Eastern Cape Mines and mineral resources -- Environmental aspects -- South Africa -- Eastern Cape Environmental auditing -- South Africa -- Eastern Cape
- Language: English
- Type: Thesis , Masters , MBA
- Identifier: vital:728 , http://hdl.handle.net/10962/d1003848
- Description: One of the greatest challenges facing the world today is integrating industrial activities such as mining with environmental integrity and social concerns. Monitoring is fundamental to environmental management, both to assess the adherence to standards and to allow environmental managers to learn from practical experiences. However, a problem arises when the regulatory authorities cannot keep up with their mandate of enforcement and compliance monitoring. This research examined how the Department of Minerals and Energy (DME) implements the concept of sustainable development in the mining sector of the Eastern Cape (EC) and, more specifically, the extent to which the Mine Environmental Management (MEM) section is able to effectively monitor compliance of mining operations with environmental legislation. This was the first systematic compilation of statistical data for the DME, and presents the first study in the EC regional office in terms of environmental sustainability. Results indicate that there has been a sustained increase in mining activity over the past three years, possibly as a result of the boom in the construction industry and the accelerated road maintenance and improvement programmes in the Eastern Cape. Mining applications received by the DME have increased by 47% from 2006 to 2007 (January-May) and by a further 100% from 2007 to 2008. In addition to the increasing number of mining concerns being established, 98 mining concerns will need to apply for the conversion of their old order rights to new order rights by the 1st May 2009. Mining in the province is predominantly small scale with mining permits (mined areas less than 1.5Ha) making up 52.3% of all applications, with larger mining concerns contributing 29.3% and prospecting contributing the remaining 18.4%. In terms of compliance inspections, the EC regional office is required to conduct 120 environmental compliance inspections annually in terms of contributing to sustainable development. The MEM section exceeded this target since 2003. However, when the number of operational mines is considered, 120 inspections per year equates to one mine being visited, on average once every four years (based on 2008 data). Based on projected figures (number of compliance audits and number of operational mines) for 2009, the DME’s target of 150 inspections for 2009/10 combined with the limited staff D. Watkins – MBA Dissertation 2008 capacity will, at best, mean that mines would be inspected once in seven years. However, the target of 150 inspections will not actually even cover the expected number of EMP evaluation inspections. This has serious implications in terms of regulating the compliance of the mining concerns with their EMPR’s. The low level of compliance monitoring can be directly related to staff capacity and logistics problems at the regional office as well as provincial targets being based on staff capacity rather than the number of operational mines. Thus, considering potential environmental damage associated with mining operations and the capacity constraints of the MEM to conduct frequent compliance audits, it is likely that mining operations will have negative implications for sustainable development in the region. Currently there are many challenges facing the DME in terms of contributing positively to sustainability in the mining sector and there is a need to base future actions on the idea of continuous improvement and ultimately progress.
- Full Text:
- Date Issued: 2009
The relationship between daily and monthly pan evaporation and rainfall totals in Southern Africa
- Authors: Watkins, Deidre Ann
- Date: 1994
- Subjects: Evaporation (Meteorology) -- South Africa , Rain and rainfall -- South Africa
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:4849 , http://hdl.handle.net/10962/d1005525 , Evaporation (Meteorology) -- South Africa , Rain and rainfall -- South Africa
- Description: Recent droughts in South Africa have highlighted the vulnerability of the economy to water restrictions. However, the degree of surface aridity in southern Africa is not only a function of precipitation, but also one of evaporation. The quantitative assessment of evaporative loss is important since it is a major component of the water budget. For example, in southern Africa, evaporation accounts for 79.5% of the hydrological water budget. As the cost of water resource development increases, so there has been an increasing demand for hydrological modelling to optimise project planning. Reliable estimates of evaporation are essential to significant improvements in the practice of hydrology and particularly in a country like South Africa which is prone to the adverse effects of drought. It is difficult to adequately measure potential evaporation over an area as large and as sparsely populated as southern Africa. Despite the research that has been undertaken to estimate evaporation from related meteorological and physical variables, generally, the estimation of evaporation in southern Africa has been unsatisfactory. There are a number of methods for estimating potential evaporation. However, a major problem tends to be the incompatibility between the data requirements of some of the more physically-based models, and the actual data that is available and collected on a routine basis at a sufficient number of stations. In existing water resources estimation models, evaporation is often incorporated as a time series input of pan evaporation, using daily or monthly values. The lack of a nearby record of pan evaporation often necessitates the use of published regionalised mean monthly pan values. This technique of using the mean monthly evaporation values in water resources estimation models tends to overestimate or underestimate the actual evaporation that is occurring, depending on the actual amount of rain occurring in a specific month. This is because no attempt has been made to correct these mean evaporation values for the amount of rainfall that occurs in a specific month, in a specific region. The regional rainfall/evaporation relationships (that vary spatially and temporally) are not taken into account. A need was identified for an assessment of the value of grouping data by rainfall as a better tool for estimating evaporation. Here, the monthly evaporation and the mean monthly evaporation for a specific rainfall group category will be estimated using daily data. Due to data availability, the most appropriate time scale to use is one day. Therefore, in this study an attempt has been made to relate rainfall amounts to evaporation values and to develop rainfall/evaporation relationships, identifying variations by season and region. It is important to identify and quantify these relationships and assess the possibility of incorporating these variations into existing Water Resource Estimation Models. The ability to derive and develop meaningful relationships between daily rainfall and daily evaporation for each season, and for a number of sites considered representative of the climatological zones for southern Africa was assessed. The first approach was to compare daily evaporation plotted against daily rainfall, and in the process develop a quantitative rainfall/evaporation relationship. Unfortunately, no direct linear relationships were identified. The second approach was to test the performance of the water resource estimation model using the following possible choices, (i) a real daily input (COREVAP1) - here the estimated monthly evaporation is the sum of the product number of days within each month * mean daily evaporation for each specified raingroup category, (ii) a distributed mean monthly input (COREVAP2) - here evaporation is estimated using a random sampling procedure to draw samples from a restricted part of the daily evaporation distribution for each raingroup and is defined by the mean and standard deviation, and (iii) a distributed mean monthly input and correction (COREVAP3) - here samples are drawn from the full distribution of daily evaporation for each raingroup category. The performance of the COREVAP programs was analyzed in terms of the improvement effected by estimating evaporation using the mean monthly evaporation regardless of rain. COREVAP1 produced the best simulations of monthly evaporation. This was expected as the program uses the straight-forward mean evaporation value multiplied by the number of days to simulate the monthly evaporation values. However, the COREVAP programs did not perform well when using the monthly evaporation data based on daily infilled values using the transformed parameters. Any regionalisation of parameter files would mean that a range of parameters in a region would now be represented by a single value. The need to assess the effect of this change from a regional range of values to a single representative value was identified. This was done by conducting a sensitivity analysis, in terms of what effect a percentage increase or decrease in the lambda, mean evaporation and mean rainfall values would have on the resultant simulated monthly evaporation and coefficient of efficiency values. A sensitivity analysis was conducted on COREVAP1 to determine which parameters of the model had the greatest influence on the simulations. This was done with reference to the percentage error of monthly evaporation and the monthly and accumulative coefficient of efficiency values. Generally, the percentage increase/decrease in mean evaporation values that are acceptable for the representative stations are low. In contrast, fairly high percentage changes in mean rainfall values are tolerated. The objective of the regionalisation of parameters was to determine whether general characteristics can be applied to some stations that are significantly different compared to other stations, so that the stations may be combined to represent a separate region. The demarcation of regions was conducted on the basis of the regional relative mean evaporation values (per raingroup, per season), the daily mean evaporation values per month and the average number of days within each raingroup, per season. Intra-station and inter-region variability was analysed using the Kruskal-Wallis H test and the Friedman Fr test. The regional parameters were then used as input into the COREVAP programs and the simulation results were analysed in terms of whether the simulations still produce positive accumulative coefficient of efficiency values. The results obtained when substituting the regional parameters were not good. Based on these results, it has been concluded that the hypothesis that grouping data by rainfall may be a better tool for estimating evaporation compared to simply using the mean monthly evaporation, may be rejected.
- Full Text:
- Date Issued: 1994
- Authors: Watkins, Deidre Ann
- Date: 1994
- Subjects: Evaporation (Meteorology) -- South Africa , Rain and rainfall -- South Africa
- Language: English
- Type: Thesis , Masters , MSc
- Identifier: vital:4849 , http://hdl.handle.net/10962/d1005525 , Evaporation (Meteorology) -- South Africa , Rain and rainfall -- South Africa
- Description: Recent droughts in South Africa have highlighted the vulnerability of the economy to water restrictions. However, the degree of surface aridity in southern Africa is not only a function of precipitation, but also one of evaporation. The quantitative assessment of evaporative loss is important since it is a major component of the water budget. For example, in southern Africa, evaporation accounts for 79.5% of the hydrological water budget. As the cost of water resource development increases, so there has been an increasing demand for hydrological modelling to optimise project planning. Reliable estimates of evaporation are essential to significant improvements in the practice of hydrology and particularly in a country like South Africa which is prone to the adverse effects of drought. It is difficult to adequately measure potential evaporation over an area as large and as sparsely populated as southern Africa. Despite the research that has been undertaken to estimate evaporation from related meteorological and physical variables, generally, the estimation of evaporation in southern Africa has been unsatisfactory. There are a number of methods for estimating potential evaporation. However, a major problem tends to be the incompatibility between the data requirements of some of the more physically-based models, and the actual data that is available and collected on a routine basis at a sufficient number of stations. In existing water resources estimation models, evaporation is often incorporated as a time series input of pan evaporation, using daily or monthly values. The lack of a nearby record of pan evaporation often necessitates the use of published regionalised mean monthly pan values. This technique of using the mean monthly evaporation values in water resources estimation models tends to overestimate or underestimate the actual evaporation that is occurring, depending on the actual amount of rain occurring in a specific month. This is because no attempt has been made to correct these mean evaporation values for the amount of rainfall that occurs in a specific month, in a specific region. The regional rainfall/evaporation relationships (that vary spatially and temporally) are not taken into account. A need was identified for an assessment of the value of grouping data by rainfall as a better tool for estimating evaporation. Here, the monthly evaporation and the mean monthly evaporation for a specific rainfall group category will be estimated using daily data. Due to data availability, the most appropriate time scale to use is one day. Therefore, in this study an attempt has been made to relate rainfall amounts to evaporation values and to develop rainfall/evaporation relationships, identifying variations by season and region. It is important to identify and quantify these relationships and assess the possibility of incorporating these variations into existing Water Resource Estimation Models. The ability to derive and develop meaningful relationships between daily rainfall and daily evaporation for each season, and for a number of sites considered representative of the climatological zones for southern Africa was assessed. The first approach was to compare daily evaporation plotted against daily rainfall, and in the process develop a quantitative rainfall/evaporation relationship. Unfortunately, no direct linear relationships were identified. The second approach was to test the performance of the water resource estimation model using the following possible choices, (i) a real daily input (COREVAP1) - here the estimated monthly evaporation is the sum of the product number of days within each month * mean daily evaporation for each specified raingroup category, (ii) a distributed mean monthly input (COREVAP2) - here evaporation is estimated using a random sampling procedure to draw samples from a restricted part of the daily evaporation distribution for each raingroup and is defined by the mean and standard deviation, and (iii) a distributed mean monthly input and correction (COREVAP3) - here samples are drawn from the full distribution of daily evaporation for each raingroup category. The performance of the COREVAP programs was analyzed in terms of the improvement effected by estimating evaporation using the mean monthly evaporation regardless of rain. COREVAP1 produced the best simulations of monthly evaporation. This was expected as the program uses the straight-forward mean evaporation value multiplied by the number of days to simulate the monthly evaporation values. However, the COREVAP programs did not perform well when using the monthly evaporation data based on daily infilled values using the transformed parameters. Any regionalisation of parameter files would mean that a range of parameters in a region would now be represented by a single value. The need to assess the effect of this change from a regional range of values to a single representative value was identified. This was done by conducting a sensitivity analysis, in terms of what effect a percentage increase or decrease in the lambda, mean evaporation and mean rainfall values would have on the resultant simulated monthly evaporation and coefficient of efficiency values. A sensitivity analysis was conducted on COREVAP1 to determine which parameters of the model had the greatest influence on the simulations. This was done with reference to the percentage error of monthly evaporation and the monthly and accumulative coefficient of efficiency values. Generally, the percentage increase/decrease in mean evaporation values that are acceptable for the representative stations are low. In contrast, fairly high percentage changes in mean rainfall values are tolerated. The objective of the regionalisation of parameters was to determine whether general characteristics can be applied to some stations that are significantly different compared to other stations, so that the stations may be combined to represent a separate region. The demarcation of regions was conducted on the basis of the regional relative mean evaporation values (per raingroup, per season), the daily mean evaporation values per month and the average number of days within each raingroup, per season. Intra-station and inter-region variability was analysed using the Kruskal-Wallis H test and the Friedman Fr test. The regional parameters were then used as input into the COREVAP programs and the simulation results were analysed in terms of whether the simulations still produce positive accumulative coefficient of efficiency values. The results obtained when substituting the regional parameters were not good. Based on these results, it has been concluded that the hypothesis that grouping data by rainfall may be a better tool for estimating evaporation compared to simply using the mean monthly evaporation, may be rejected.
- Full Text:
- Date Issued: 1994
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