The effect of differences rainfall data duration and time period in the assessment of rainwater harvesting system performance for domestic water use

Abstract

Abstract.One of the attempts to tackle the problem in water resources is to exploit the potential of rainwater volume with rainwater harvesting (RWH) system. A number of rainfall data required for analyzing the RWH system performance. In contrast, the availability of rainfall data is occasionally difficult to obtain. The main objective of this study is to investigate the effect of difference rainfall data duration and time period to assess the RWH system performance. An analysis was conducted on the rainfall data based on rainfall data duration and time period. The analysis was performed considering 15, 5, 3, 2 years, average year, wet year, and dry year for Palembang city in South Sumatera. The RWH system performance is calculated based on the concept of yield before spillage algorithm. A number of scenarios were conducted by varying the tank capacity, roof area, and the rainwater demand. It was observed that the use of data with a smaller duration provides a significant difference, especially for high rainwater demand. In addition, the use of daily rainfall data would describe the behavior of the system more thoroughly. As for time step, the use of monthly rainfall data is only sufficient for low rainwater demand and bigger tank capacity.

Optimizing rainwater harvesting systems for the dual purposes of water supply and runoff capture with study case in Bandung Area, West Java.

“…where m = increase in water price per year (%), i = discount rate per year (%), k = increase in maintenance and operational costs per year (%), Smin and Smax = minimum and maximum tank capacity, Npop,min and Npop,max = minimum and maximum number of occupants. Constraint (12) is the value of the benefit-cost ratio, BCR. The project lifetime is calculated for T = 10 years so that the BCR value should be greater than 1 at the 10 th year.…”

“…In several big cities in Indonesia, such as Bandung, Jakarta, and other big cities, many people still have difficulty getting access to clean water [11][12][13]. One alternative to help meet this need for clean water is through the Rainwater harvesting (RWH) system [11][12][13]. RWH can also provide additional benefits to reduce runoff [1].…”

Decision support system for community managed rainwater harvesting: A case study in the salinity-prone coastal region of Bangladesh

“…These models can also help in predicting the future performance of the system under different scenarios [ 56 , 61 , 62 ]. These models use different time series data (hourly, daily or monthly) [ [63] , [64] , [65] ]. Daily time series provide similar results to hourly time series, while monthly time series generate inaccurate results [ [63] , [64] , [65] ].…”

Trend Analysis of Rainfall, Land Cover, and Flow Discharge in the Citarum Hulu–Majalaya Basin

“…Several previous studies have discussed non-structural efforts to reduce the flood risk in the Upper Citarum River, such as those of Juliana et al [34], Wijaya [39], and Kusuma et al [35]. Based on 15 years of rainfall data records, Juliana et al [34] discussed the feasibility of implementing a rain harvesting program to reduce run-off in the Upper Citarum River.…”

“…Several previous studies have discussed non-structural efforts to reduce the flood risk in the Upper Citarum River, such as those of Juliana et al [34], Wijaya [39], and Kusuma et al [35]. Based on 15 years of rainfall data records, Juliana et al [34] discussed the feasibility of implementing a rain harvesting program to reduce run-off in the Upper Citarum River. Kusuma et al [21] concluded that the lack of reliability of hydrology, hydrometeorology, and land-use change data was becoming a significant barrier to correctly estimating the flood characteristic trends of the Upper Citarum River.…”