scholarly journals Impact of Rapid Tourism Growth on Water Scarcity in Bali, Indonesia

2021 ◽  
Vol 2 (1) ◽  
pp. 1-16
Author(s):  
Eva Mia Siska Yamamoto ◽  
Takahiro Sayama ◽  
Kaoru Takara
Keyword(s):  
Water Supply ◽  
Water Scarcity ◽  
Water Demand ◽  
Supply And Demand ◽  
Scientific Data ◽  
Clean Water ◽  
Domestic Water ◽  
Domestic Water Demand ◽  
Tourism Sector ◽  
The Impact

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

scholarly journals Urban stormwater harvesting for domestic water supply: a water evaluation and planning approach

2021 ◽  
Author(s):  
S. S. Pravin ◽  
C. Gajendran ◽  
T. Divya
Keyword(s):  
Surface Water ◽  
Water Supply ◽  
Water Demand ◽  
Supply And Demand ◽  
Stormwater Runoff ◽  
Water Bodies ◽  
Domestic Water ◽  
Domestic Water Demand ◽  
Surface Water Bodies ◽  
Water Evaluation And Planning

Abstract Renewable groundwater and surface water supplies are insufficient for the existing urban population all over the world as water demand is increasing rapidly. Usage per capita in urban areas transcends 160 liters per day. Climate change is projected to increase water demand even more. Sources of surface water obtained by stormwater runoff can be well used to fulfill this requirement. The main objective of this work is to assess the water supply and demand in the dry condition in the Coimbatore region, Tamil Nadu, India, and to use the Water Evaluation and Planning method to create a model for supply and demand in the future. There are more than three dozen of surface water bodies in and around the metropolitan center. Most sources are heavily encroached upon. By linking stormwater runoff from its respective elevation to the accessible surface water bodies, an additional water supply source can be obtained. By using the Water Evaluation and Planning framework as a guide, models were developed to determine potential needs, compare demand and supply, water usage, lack of water use, and population coverage. The enhanced stormwater drainage system for Coimbatore city was also designed in such a way that the corporation's various roads were connected to the major water bodies. The domestic water demand in the future is predicted to be around 27 Million Cubic Feet(MCFT). Meanwhile, the possible amount of stormwater collection in the selected water bodies is predicted to be 50 Million Cubic Meter (MCM) to 320MCM. Thus, the study concluded that 100% of urban domestic water demand can be met if the urban stormwater is utilized by harvesting and storing in surface water bodies.

scholarly journals Dynamic Modeling and Simulation of Urban Domestic Water Supply Inputs Based on VES Production Function

Mathematics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 89
Author(s):  
Kebai Li ◽  
Zhilei Ding
Keyword(s):  
Water Supply ◽  
Production Function ◽  
Water Demand ◽  
Early Stage ◽  
Supply And Demand ◽  
Labor Input ◽  
Domestic Water ◽  
Straight Line ◽  
Per Capita ◽  
Domestic Water Supply

The Gompertz growth curve is used to describe the urban water population, the linear function is used to represent the per capita disposable income, and the domestic water demand is described combined with the factors of population, income, and the water-saving consciousness. The VES production function is used to describe the production function of the domestic water supply. Combined with system dynamics, the supply and demand management model of urban domestic water in Jiangsu province, China, is developed. The process of water supply investment and labor input in the urban domestic water system is studied with two depreciation methods: the straight-line depreciation method and the sum of years digits method. In the case that the water consumption population is expected to decline, four water demand scenarios composed of different per capita disposable income and the growth rate of water-saving consciousness are investigated. Investment and labor input are taken as control variables to conduct water supply and demand simulations for the four scenarios. The results show that the control schemes in all four scenarios reach a balance between water supply and demand. Moreover, the investment of the sum of years digits method is larger than that of the straight-line depreciation method in 2005–2019 but less than that of the straight-line depreciation method in 2020–2034. The sum of years digits method has the characteristics of more depreciation in the early stage and less depreciation in the later stage, which is conducive to timely compensation for the large loss of fixed assets in the early stage.

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
Keyword(s):  
Water Demand ◽  
Swimming Pools ◽  
Domestic Water ◽  
Domestic Water Demand ◽  
The Impact

scholarly journals Analysis of the Water Demand-Supply Gap and Scarcity Index in Lower Amu Darya River Basin, Central Asia

2022 ◽  
Vol 19 (2) ◽  
pp. 743
Author(s):  
Zheng Wang ◽  
Yue Huang ◽  
Tie Liu ◽  
Chanjuan Zan ◽  
Yunan Ling ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Supply ◽  
Water Scarcity ◽  
Water Demand ◽  
Supply And Demand ◽  
Aral Sea ◽  
Amu Darya ◽  
The Status ◽  
Water Supply And Demand ◽  
Amu Darya River

Lower reaches of the Amu Darya River Basin (LADB) is one of the typical regions which is facing the problem of water shortage in Central Asia. During the past decades, water resources demand far exceeds that supplied by the mainstream of the Amu Darya River, and has resulted in a continuous decrease in the amount of water flowing into the Aral Sea. Clarifying the dynamic relationship between the water supply and demand is important for the optimal allocation and sustainable management of regional water resources. In this study, the relationship and its variations between the water supply and demand in the LADB from the 1970s to 2010s were analyzed by detailed calculation of multi-users water demand and multi-sources water supply, and the water scarcity indices were used for evaluating the status of water resources utilization. The results indicated that (1) during the past 50 years, the average total water supply (TWS) was 271.88 × 108 m3/y, and the average total water demand (TWD) was 467.85 × 108 m3/y; both the volume of water supply and demand was decreased in the LADB, with rates of −1.87 × 108 m3/y and −15.59 × 108 m3/y. (2) percentages of the rainfall in TWS were increased due to the decrease of inflow from the Amu Darya River; percentage of agriculture water demand was increased obviously, from 11.04% in the 1970s to 44.34% in 2010s, and the water demand from ecological sector reduced because of the Aral Sea shrinking. (3) the supply and demand of water resources of the LADB were generally in an unbalanced state, and water demand exceeded water supply except in the 2010s; the water scarcity index decreased from 2.69 to 0.94, indicating the status changed from awful to serious water scarcity. A vulnerable balanced state has been reached in the region, and that water shortages remain serious in the future, which requires special attention to the decision-makers of the authority.

scholarly journals A Panel Data Estimation of Domestic Water Demand with IRT Tariff Structure: The Case of the City of Valencia (Spain)

2021 ◽  
Vol 13 (3) ◽  
pp. 1414
Author(s):  
Mónica Madonado-Devis ◽  
Vicent Almenar-Llongo
Keyword(s):  
Panel Data ◽  
Water Demand ◽  
Large Data ◽  
Demand Elasticity ◽  
Average Price ◽  
Domestic Water ◽  
Domestic Water Demand ◽  
Household Level ◽  
Price Structure ◽  
The City

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.

Mathematical Models for Predicting and Managing Water Resources — The Case of China in 2025

2013 ◽  
Vol 448-453 ◽  
pp. 995-1001
Author(s):  
Ning Na Wang ◽  
Qin Lin Zhou
Keyword(s):  
Water Supply ◽  
Water Demand ◽  
Optimal Allocation ◽  
Supply And Demand ◽  
Decision Makers ◽  
Grey System ◽  
Allocation Model ◽  
Water Supply Management ◽  
Generate Solution ◽  
Major Factors

An effective management of water supply is critically significant to a countrys water utilities, and accurate prediction of water supply and demand is of key importance for water supply management. The objectives of this paper are to use Grey System Model (GSM) and Linear Regression Model to forecast the water demand and water supply respectively in China 2025, and then propose a new Optimal Allocation Model (OAM) to generate solution so that analysts and decision makers can gain insight and understanding. The two predictive models take into account four major factors including domestic development, agriculture, industries and eco-environment, calculating a deficit between water demand and water supply in China 2025. Then the OAM, which considers desalinization, irrigation saving and urban recycling, provides a feasible solution to fill the gap and an effectual management of water supply.

Socioeconomic factors affecting domestic water demand in Israel

1975 ◽  
Vol 11 (6) ◽  
pp. 805-809 ◽  
Author(s):  
Peretz Darr ◽  
Stephen L. Feldman ◽  
Charles S. Kamen
Keyword(s):  
Socioeconomic Factors ◽  
Water Demand ◽  
Domestic Water ◽  
Factors Affecting ◽  
Domestic Water Demand

scholarly journals MODELLING OF DOMESTIC WATER DEMAND USING SPATIAL DATA POPULATION FOR CISADANE UPSTREAM WATERSHED

2018 ◽  
Vol 1 (1) ◽  
pp. 16
Author(s):  
Dina Paramitha Anggraeni Hidayat ◽  
Yuddi Yudistira
Keyword(s):  
Spatial Data ◽  
Water Demand ◽  
Population Data ◽  
Geographical Information ◽  
Domestic Water ◽  
Management Planning ◽  
Domestic Water Demand ◽  
Significant Difference ◽  
Watershed Boundary ◽  
Administrative Boundary

<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>

scholarly journals Well Water Site Selection at Local Scale Using Geographical Information System for Flood Victim in Malaysia

2018 ◽  
Vol 50 (2) ◽  
pp. 205
Author(s):  
Koh Liew See ◽  
Nayan Nasir ◽  
Saleh Yazid ◽  
Hashim Mohmadisa ◽  
Mahat Hanifah ◽  
...  
Keyword(s):  
Water Supply ◽  
Spatial Data ◽  
Water Sources ◽  
Geographical Information ◽  
Well Water ◽  
Clean Water ◽  
Flood Events ◽  
Field Methods ◽  
The Impact ◽  
Area Data

Clean water supply is a major problem among flood victims during flood events. This article aims to determine the sites of well water sources that can be utilised during floods in the District of Kuala Krai, Kelantan. Field methods and Geographic Information Systems (GIS) were applied in the process of selecting flood victim evacuation centres and wells. The data used were spatial data obtained primarily, namely the well data, evacuation centre data and flood area data. The well and evacuation centre data were obtained by field methods conducted to determine the position of wells using global positioning system tools, and the same for the location of the evacuation centres. Information related to evacuation centres was obtained secondarily from multiple agencies and gathered into GIS as an evacuation centre attribute. The flood area data was also obtained via secondary data and was digitised using the ArcGIS software. The data processing was divided into two stages, namely the first stage of determining the flood victim evacuation centres to be used in this research in a structural manner based on two main criteria which were the extent to which an evacuation centre was affected by the flood and the highest capacity of victims for each district with the greatest impact to the flood affected population. The second stage was to determine the location of wells based on three criteria, namely i) not affected by flood, ii) the closest distance to the selected flood victim evacuation centre and iii) located at different locations. Among the main GIS analyses used were locational analysis, overlay analysis, and proximity analysis. The results showed that four (4) flood evacuation centres had been chosen and matched the criteria set, namely SMK Sultan Yahya Petra 2, SMK Manek Urai Lama, SMK Laloh and SK Kuala Gris. While six (6) wells had been selected as water sources that could be consumed by the flood victims at 4 evacuation centres in helping to provide clean water supply, namely Kg. Keroh 16 (T1), Kg. Batu Mengkebang 10 (T2), Lepan Meranti (T3), Kg. Budi (T4), Kg. Jelawang Tengah 2 (T5) and Kg. Durian Hijau 1 (T6). With the presence of the well water sources that can be used during flood events, clean water supply can be distributed to flood victims at the evacuation centres. Indirectly, this research can reduce the impact of floods in the future, especially in terms of clean water supply even during the hit of a major flood.

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