scholarly journals Mitigating the impact of swimming pools on domestic water demand

Water SA ◽  
2016 ◽  
Vol 41 (2) ◽  
pp. 238 ◽  
Author(s):  
L Fisher-Jeffes ◽  
G Gertse ◽  
NP Armitage
2021 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Eva Mia Siska Yamamoto ◽  
Takahiro Sayama ◽  
Kaoru Takara

Despite Bali’s dependency on tourism, concerns over the impact of tourism on water scarcity are increasing. The objective of this study is to analyze the clean water demand related to tourism growth and compare them with the available clean water supply. This study suggested that tourism water demand has increased by 20.8 million m3 (295%) from 1988 to 2013. Sixty-eight percent of the increase was concentrated in Badung Regency, where the tourism water demand ratio has increased from 31% to 46%. The study also suggested that rapid population growth has caused an increase in domestic water demand by 48.3 million m3 (48%). This study also shows that the capacity of clean water supply in Bali has increased significantly to meet these demands and the water supply coverage of domestic water demand has increased significantly from 13% in 1988 to 53% in 2013. The water supply coverage of tourism demand varies from year to year with an average of 28% in the study period. The increasing issues over water scarcity despite the improvement in the coverage of domestic water demand suggest further investigations. Yet, despite the large gap between supply and demand in the tourism sector the industry still can have undisrupted clean water throughout the year. This indicates the use of alternative clean water which can be obtained locally such as groundwater. Wise water management through the sharing of scientific data, including in the tourism sector is imperative in solving water scarcity in Bali.  Keywords: clean water demand, water scarcity, Badung Regency


2021 ◽  
Vol 13 (3) ◽  
pp. 1414
Author(s):  
Mónica Madonado-Devis ◽  
Vicent Almenar-Llongo

In urban water provisioning, prices can improve efficiency, contributing to the achievement of the environmental objective. However, household responses to price changes differ widely based on the household characteristics. Analyses performed at the aggregate level ignore the implications of water demand incentives at the individual household level. A large data sample at the household level enables estimation of econometric models of water demand, capturing the heterogeneity in domestic consumption. This study estimated the domestic water demand in the city of Valencia and its elasticity, along with the demands of its different districts and neighbourhoods (intra-urban scale analysis). Water price structure in Valencia is completely different from that of other Spanish cities: it is a price structure of increasing volume (increasing rate tariffs, IRT). For this estimation, from a microdata panel at the household level, the demand function with average prices for the period 2008–2011 was estimated using panel data techniques including a fixed effect for each neighbourhood. The domestic water demand elasticity at the average price in Valencia was estimated at −0.88 (which is higher than that estimated for other Spanish cities). This value indicates an inelastic demand at the average price of the previous period, which can cause consumers to overestimate the price and react more strongly to changes.


1975 ◽  
Vol 11 (6) ◽  
pp. 805-809 ◽  
Author(s):  
Peretz Darr ◽  
Stephen L. Feldman ◽  
Charles S. Kamen

Author(s):  
Dina Paramitha Anggraeni Hidayat ◽  
Yuddi Yudistira

<p><em>In Indonesia, water resources management planning has done based on river area. But the problem is the calculation still based on population data with administrative boundary. This is caused by the lack of population data with watershed or river area boundary. Geographical Information System (GIS) is a tools to analyze, visualize and interpret data with spatial and geographic data. For this research, GIS is used to generate population data with watershed and river area boundary,then the result will used for domestic water demand calculation for Cisadane upstream watershed. For all district in Cisadane Upstream Watershed, the largest district in entire watershed are Cibungbulang, Leuwiliang and Nanggung. But the most dense population are Ciomas, Ciampea and Cibungbulang. The calculation using watershed boundary resulting significant difference from district boundary. With spatial data population using watershed boundary, domestic water demand calculation result can be more accurate than using all district population data. </em></p>


Author(s):  
Xiao-jun Wang ◽  
Jian-yun Zhang ◽  
Shamsuddin Shahid ◽  
Lang Yu ◽  
Chen Xie ◽  
...  

Purpose The purpose of this paper is to develop a statistical-based model to forecast future domestic water demand in the context of climate change, population growth and technological development in Yellow River. Design/methodology/approach The model is developed through the analysis of the effects of climate variables and population on domestic water use in eight sub-basins of the Yellow River. The model is then used to forecast water demand under different environment change scenarios. Findings The model projected an increase in domestic water demand in the Yellow River basin in the range of 67.85 × 108 to 62.20 × 108 m3 in year 2020 and between 73.32 × 108 and 89.27 × 108 m3 in year 2030. The general circulation model Beijing Normal University-Earth System Model (BNU-ESM) predicted the highest increase in water demand in both 2020 and 2030, while Centre National de Recherches Meteorologiques Climate Model v.5 (CNRM-CM5) and Model for Interdisciplinary Research on Climate- Earth System (MIROC-ESM) projected the lowest increase in demand in 2020 and 2030, respectively. The fastest growth in water demand is found in the region where water demand is already very high, which may cause serious water shortage and conflicts among water users. Originality/value The simple regression-based domestic water demand model proposed in the study can be used for rapid evaluation of possible changes in domestic water demand due to environmental changes to aid in adaptation and mitigation planning.


Author(s):  
Shangming Jiang ◽  
Shaowei Ning ◽  
Xiuqing Cao ◽  
Juliang Jin ◽  
Fan Song ◽  
...  

Due to the importance and complexity of water resources regulations in the pond irrigation systems of the Jiang-Huai hilly regions, a water allocation simulation model for pond irrigation districts based on system simulation theory was developed in this study. To maximize agricultural irrigation benefits while guaranteeing rural domestic water demand, an optimal water resources regulation model for pond irrigation districts and a simulation-based optimal water resources regulation technology system for the pond irrigation system were developed. Using this system, it was determined that the suitable pond coverage rate (pond capacity per unit area) was 2.92 × 105 m3/km2. Suitable water supply and operational rules for adjusting crop planting structure were also developed the water-saving irrigation method and irrigation system. To guarantee rural domestic water demand, the multi-year average total irrigation water deficit of the study area decreased by 4.66 × 104 m3/km2; the average multi-year water deficit ratio decreased from 20.40% to 1.18%; the average multi-year irrigation benefit increased by 1.11 × 105 RMB (16,128$)/km2; and the average multi-year revenue increased by 6.69%. Both the economic and social benefits were significant. The results of this study provide a theoretical basis and technological support for comprehensive pone governance in the Jiang-Huai hilly regions and promote the establishment of a water allocation scheme and irrigation system for pond irrigation districts, which have practical significance and important application value.


Water SA ◽  
2018 ◽  
Vol 34 (3) ◽  
pp. 381 ◽  
Author(s):  
HJ Van Zyl ◽  
AA Ilemobade ◽  
JE Van Zyl

1986 ◽  
Vol 62 (1) ◽  
pp. 26 ◽  
Author(s):  
David L. Chicoine ◽  
Ganapathi Ramamurthy

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