Serviced and Unserviced Waste Water - Organic Component

Data was derived from the following sources: * CSIR was commissioned by the BioEnergy Atlas to assemble known data on solid waste production from household and commercial sources in South Africa. This data was only available at provincial aggregate level, and derives from statistics published by the Department of Water and Sanitation, or recent studies funded by them. * Data from StatsSA (Census 2011) enabled the calculation of number of households within each planning zone that were serviced at the time, with the balance unserviced. * SAEON developed a model from national and international statistics linking waste water production and composition to household income. This model was used, based on StatsSA Census Data, to estimate the organic component produced by each household per planning zone (mesozone) annually. * These factors were used to disaggregate provincial production data, resulting in a value for unserviced and serviced organic wastewater from household sources to be calculated for each mesozone.

本数据集的原始数据来源于以下渠道：
* 生物能源地图集（BioEnergy Atlas）委托南非科学与工业研究理事会（CSIR）收集南非家庭与商业源产生的固体废物产生量相关已知数据。该类数据仅以省级汇总形式公开，其来源为南非水利与卫生部（Department of Water and Sanitation）发布的官方统计资料，或是由该部门资助的近期研究成果。
* 南非统计局（StatsSA）2011年人口普查（Census 2011）数据可用于测算各规划区域内，截至普查时点已接入公共服务的家庭数量，以及未接入公共服务的家庭剩余规模。
* 南非环境观测网络（SAEON）基于国内外统计数据开发关联模型，将污水产生量与水质组成和家庭收入水平进行绑定。依托南非统计局的人口普查数据，该模型可估算每个规划区域（mesozone）内，每户家庭每年产生的有机污染物组分。
* 基于上述各项数据因子对省级汇总生产数据进行拆解细分后，即可计算得到每个规划区域（mesozone）内，家庭来源的已接入公共服务与未接入公共服务的有机污水产生量数值。