Civil and Environmental Science Journal (CIVENSE - Fakultas Teknik Universitas Brawijaya)
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Rainwater Harvesting as Alternative Source for Wudlu Water in Indonesia
Indonesia is the country with the largest Muslim population in the world. And as a country with Muslim big population clean water for wudlu or purification must be available. Rainwater holds potential as an alternative source of wudlu water. Rainwater harvesting (RWH) for religious water supply is still very rare studied. Based on this, the research in this paper aims to calculate the potential supporting capacity of rainwater as an alternative sourceof wudlu water. Supporting capacity of rainwater harvesting (SCRWH) in this study was calculated by simulating inflow and outflow behavior at a rainwater harvesting facility in a mosque. Case study takes place at Nurul Iman Mosque in Southern Lampung. The mosque has an area of 168 m and able to accommodate 300 worshipers. Research show that the most effective reservoir size in the RWH facility in the observed mosque is between 15 to 30 m2 with SCRWH for wet years between 65% and 70% and for dry years between 44% and 53%, respectively. The availability of wudlu water in a mosque basically cannot be expected 100% comes from rain water only. In the application of RWH in a mosque the maintenance of the RWH facility must be undertaken well
Application of Artificial Neural Network For Defining The Water Quality in The River
Predicting point and nonpoint source runoff of dissolved and suspended materials into their receiving streams is important to protecting water quality. Therefore, it is important to monitoring the condition of river water quality. The purpose of this study is to predict water quality in small streams using an Artificial Neural Network (ANN). The study focuses on small stream in tributary of Brantas River. The variables of interest are dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), pH and temperature (T). To validate the performance of the trained ANN, it was applied to an unseen data set from a station in the region. The result show that the prediction of DO is 6.03 mg/litre, pH is 6,47 mg/litre and temperature is 25.18°. With the relatively error was 15.63%, 12.64% and 14.12% respectively. It was finally concluded that ANN models are capable of simulating the water quality parameters
Data Generation In Order To Replace Lost Flow Data Using Bootstrap Method And Regression Analysis
This paper aims to find method to generate data in order to replace lost flow data in the series of discharge data in Sungai Seputih River, Lampung Province. Bootstrap simulation is used to estimate the discharge data and complete the existing discharge data. Regression analysis is also used to find the pattern of data distribution. Results of the research show that both methods are able to generate new series of flow data that the distribution is similar to available field data. Results also show that the use of statistical methods is one way to tackle the problem of data limitations due to missing or unrecorded data. The weakness of data generation using a combination of Bootstrap methods and regression analysis is the disappearance of extreme values in the data series. Existing extreme values have been modified to ideal values that satisfy certain distributions. However, careful analysis is required in using statistical method, so that the results of analysis do not deviate from the field conditions
Water Management System Based On Zero Run Off Policy In Multi Unit Area (Case Study Of Menara Asuransi Astra In Cilandak, South Jakarta, Indonesia)
oai:civense.ub.ac.id:article/4Water management system is an effort of planning, management, control, and supervision of runoff water that is structured and integrated in an area according with the policies. In Governor Regulation of Jakarta Capital City Administration No. 43 of 2013 on the Peil of Building Floor Licence, it is explained that the implementation of the zero Delta Q principle is to keep the runoff remain in the area up to 100% or to drain the water out of the region up to zero percent or zero runoff. In this regard, this research is expected to develop a concept of a regional water system implementation which compares the hydrological analysis method with related regulatory methods, to obtain a technical policy that can be applied in order to meet the regional regulations based on the zero delta Q or zero runoff concept for all to be developed areas in Jakarta by taking case study of South Jakarta area as a pilot project. The method used is to compare the Governor Regulation of Jakarta as the reference in zero run off calculation with the Indonesian National Standard Regulation (SNI) No. 03 2453 2002 on the Procedure of Planning Technique of Rainwater Recharge wells for Grounds using hydrological and hydraulics analysis. The conclusion is the calculation by hydrological analysis in accordance with the Indonesian National Standard Regulation (SNI) No. 03 2453 2002 on the Procedure of Planning Technique of Rainwater Recharge wells for Grounds becomes the chosen method, because it has a more detailed result and zero runoff concept can be met, so the runoff at the study site did not increase the load of Grogol River
Analysis of Waikelo Port Breakwater Failure through 2D Wave Model
Waikelo Port is located in South West Sumba of East Nusa Tenggara. The port facilities are protected by breakwater with a vertical wall construction and it was built in a relatively deep ocean at -15m of Low Water Sea Level (LWS). On 21 of January 2012, an earthquake with magnitude of 6.3 Richter scale occurred around Sumba Island and it caused cracking in the concrete wall of breakwater. Then, 4 days after on 25 st January 2012, a heavy wind of 20-23 knots generated a high wave around 4.0-5.0m in Sumba strait. These high waves caused a critical damage on the west part of the breakwater. The damage of port facilities were getting worse when a storm called Lua hit on March 2012. This study was conducted to observe the effect of the extreme event in the failure of breakwater. The result of two-dimensional (2D) wave model shows that the wave heights in the area of breakwater are varied 3.80 to 4.0m. It is quite greater than the wave design of 50 years return period (= 2.00m) which was used in breakwater design and calculation. This observable fact confirms that the failure of breakwater was caused by the continuous extreme events that exceed the design criteri
Potential use of aquatic plants in constructed wetlands for simultaneous removal of Phosphate and COD from laundry wastewater
One component of household wastewater that has a bad impact on the environment is waste that comes from washing which uses detergent, due to a fairly high phosphate and chemical oxygen demand (COD) concentration. The purpose of this study was to determine the potential of using aquatic plants to reduce phosphate and COD levels from laundry waste. This research was carried out using constructed wetlands model of laboratory scale using the combination of flow types of subsurface flow systems (SFS) and the type of vertical flow system (VFS) with a waste residence time of 5 days and 10 days. Based on the results, for model I, the average percentage of COD levels reduction is 67.62% and phosphate is 13.89%, while in model II, the average percentage of COD reduction is 59.93% and phosphate is 14.36%, after 10 days of waste residence time. Aquatic plants used in the modeling of constructed wetland can grow and reproduce well, this can be indicated by the growth of new shoots and flowers of these plants