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Policy analysis in relation to spatial variation of groundwater in urban settlements: a case study of Yogyakarta city, Indonesia

Ndung'u, George Ngugi (2011) Policy analysis in relation to spatial variation of groundwater in urban settlements: a case study of Yogyakarta city, Indonesia.

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Abstract:Management of groundwater abstraction is increasingly recognised in environmental economics which aims to steer economic development in harmony with environmental resources, which are pillars of production resulting to economic growth. It has been realised that, growth oriented policies which do not put in consideration these environmental resources conservation measures, alongside sustainable use are detrimental to the overall goal for quality of life. This is more so in many Nations of the World, where its time they cannot abandon restrictions on resources utilisation and emissions thinking they will achieve quality of life. It’s essential to formulate, implement and review policy to manage use of these natural resources and avoid exploitation for whatsoever purpose. Policy analysis in relation to spatial variation of GW in urban settlements analysis has focused on three core elements, which form the foundation and basis for discussions. The first idea is to investigate spatial variation of GW contamination by E.coli in the six urban villages within Yogyakarta city. This is achieved through quantitative analysis of GW samples from shallow wells in the laboratory, and later on visualising their MPN values. Likewise, two factors are addressed, which are predicted to be major sources of contamination of shallow wells with total coliforms. The second idea involves analysis of specific capacity to determine spatial units with abundant GW levels. In addition, analysis for amount allocated and amount withdrawn are processed to demonstrate trend in GW use. Analysis of GW levels is carried out through computing specific capacity values of different deep wells. The values obtained are consequently visualised to indicate spatial units with high potential levels of GW and as such, possible areas of drilling new wells. The third basic idea is about assessing GW management by validating the outcome of policy operationalisation. This is to find out if GW policy produces intended results once implemented. It’s expected that there is a mismatch between results of policy operationalisation and policy in document. Methods used to carry out the analysis are mainly spatial analysis on Arc GIS 10 and running Pearson’s correlation on SPSS. Field survey was also undertaken to collect both primary and secondary data within Yogyakarta city. An important process has been to incorporate literature review at all stage of analysis to reflect a critical approach required to enhance synthesising results achieved. Results realised from analysis indicate spatial variation of GW contamination at varying levels. It’s also demonstrated that specific capacity as analysed through spatial analysis can be used to identify areas of potential wells by identifying GW levels for different aquifers. Likewise it has been realised that policy elements have varying degrees of success depending on their nature either as cost recovery or cost incurring. In the end, the study has proposed a couple of policy recommendations with the main one being formulating policy to regulate, monitor and manage shallow wells. This is an area largely missing policy elements to coordinate its importance in contributing towards domestic water supply. Another key activity recommended is to privatise data collection and management, for this is basic requirement in decision making, which concerns GW allocation and withdrawals. Last and not least is to adopt a public participatory approach towards GW resource management. Key words: groundwater, spatial variations and policy performance.
Item Type:Essay (Master)
Faculty:ITC: Faculty of Geo-information Science and Earth Observation
Programme:Geoinformation Science and Earth Observation MSc (75014)
Link to this item:https://purl.utwente.nl/essays/93308
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