Mary Selintung

Adapting to climate change through urban water management: a participatory case study in Indonesia

The benefits of integrated approaches to climate risk and adaptation studies are increasingly recognised. Thus, there is an increasing need for practical examples of such work in the literature. This paper describes a practical application of an integrated framework for climate change impacts on regional surface water resources and the urban water system in the Mamminasata metropolitan region, Indonesia. Two main features of the framework are: the integration of both climate and other physical and social considerations in the assessment; and the high stakeholder involvement before, during and after project implementation. Although the study is concerned with the Mamminasata region, the overall methodology is transferable to any region in Indonesia or internationally. Key outcomes from this study are: (1) creation of information for Mamminasata planners and water resources managers for when, and under what conditions, the water supply may or may not meet the demand; (2) a clear consensus and shared learning of the problems facing the region among cross-institutional stakeholders; and (3) identification of adaptation options for the urban water system and knowledge gaps and strategies for their implementation. Results of stakeholders’ surveys conducted at the mid-point and at the end of the study indicate that these outputs will provide valuable guidance for future planning and management of Mamminasata regional water resources.

A leakage detection system on the Water Pipe Network through Support Vector Machine method

Clean Water is the primary and basic need for human. Thus, the provision of it has to be assured by preserving the quality, quantity, and also the pressure. However, in fact, there are many leakage cases in the distribution process which become the worlds problem. One of the causes of the leakage, technically, is the leakage on the pipes. The leaky pipe changed the pressure on each junction / node in water pipe network. The pattern of the pressure changes, then, is able to be analyzed computationally to detect the location and the size of the leakage. In this research, there is a detector of the leakage that will be used computerized through Support Vector Machine (SVM) method. As the research material, there is Water Pipe Network System in Taman Khayangan Resident Makassar which was made by using EPANET 2.0 software. The data of the Pipe Network System is obtained from the Data of Drinking Water Local Company (PDAM) of Makassar. The output of this Leakage Detection System is in the form of model which detects the size and the location of the leakage on the pipe. The results of the simulation showed that the SVM method is relatively accurate in predicting by resulting the RMSE average of 0.06785 for the leakage size and RMSE = 0.1382 for the leakage location.