Modelling domestic water demand: An agent based approach

2016 ◽  
Vol 79 ◽  
pp. 35-54 ◽  
Author(s):  
Ifigeneia Koutiva ◽  
Christos Makropoulos
Keyword(s):  
Water Demand ◽  
Domestic Water ◽  
Agent Based ◽  
Domestic Water Demand

scholarly journals Agent based modelling of domestic water demand for adaptive urban water management

2015 ◽  
Author(s):  
Ιφιγένεια Κουτίβα
Keyword(s):  
Water Management ◽  
Water Demand ◽  
Social Impact ◽  
Urban Water ◽  
Urban Water Management ◽  
Domestic Water ◽  
Agent Based ◽  
Domestic Water Demand ◽  
Agent Based Modelling ◽  
Impact Theory

Αντικείμενο της διδακτορικής διατριβής είναι η δημιουργία μιας νέας μεθόδου προσομοίωσης της συμπεριφοράς της ζήτησης νερού των αστικών νοικοκυριών, χρησιμοποιώντας μοντέλα παραγόντων –ευφυών πρακτόρων (Agent Based Modelling - ΑΒΜ). Μέχρι τώρα, η πιο κοινή προσέγγιση ήταν να συμπεριλαμβάνονται στα εργαλεία διαχείρισης των υδατικών πόρων, χρονοσειρές οικιακής ζήτησης νερού παραγόμενες είτε ακολουθώντας τις ιστορικές τάσεις ή προβάλλοντας μελλοντικές απαιτήσεις.Ωστόσο, σε αυτή την έρευνα, προτείνεται μια εναλλακτική μέθοδος για τη παραγωγή χρονοσειρών οικιακής ζήτησης νερού, προσομοιώνοντας τη συμπεριφορά των νοικοκυριών όπως αυτή διαμορφώνεται από τις κοινωνικές, πολιτικές, οικονομικές και τεχνολογικές συνθήκες.Το βασικό κίνητρο της έρευνας αυτής, ήταν η ανάγκη για τη δημιουργία κανόνων που προσομοιώνουν τη συμπεριφορά των νοικοκυριών. Προς την κατεύθυνση αυτή, αναπτύχθηκε ένα εργαλείο ΑΒΜ, που ονομάζεται Urban Water Agents’ Behaviour (UWAB), το οποίο προσομοιώνει τη συμπεριφορά της ζήτησης νερού ενός νοικοκυριού με βάση: (α) τη θεωρία σύνθετων δικτύων (Albert and Barabasi, 2000)που αντιπροσωπεύει τους κοινωνικούς δεσμούς που δύναται να επηρεάσουν την οικιακή ζήτηση νερού, (β) τη θεωρία της κοινωνικής επιρροής (social impact theory) (Latane, 1981) για την προσομοίωση της επιρροής που ασκούν πολιτικές και άλλοι εξωτερικοί παράγοντες στη συμπεριφορά των οικιακών χρηστών νερού, (γ) τη θεωρία της σχεδιασμένης συμπεριφοράς (theory of plannedbehaviour) (Ajzen, 1991) η οποία εξυπηρετεί την αποδόμηση της συμπεριφοράς του οικιακού χρήστη νερού στα συστατικά της με σκοπό τη μοντελοποίηση της πρόθεσης του και (δ) τη στατιστική μηχανική(Shell, 2014) η οποία χρησιμοποιείται για την προσομοίωση της στοχαστικής φύσης της ανθρώπινης συμπεριφοράς. Η συμπεριφορά της ζήτησης νερού των νοικοκυριών και η επιρροή της από τις πολιτικές διαχείρισης και από τις περιβαλλοντικές πιέσεις προσομοιώνεται στο μοντέλο UWAB. Στη συνέχεια, η συμπεριφορά αυτή μεταφράζεται σε συγκεκριμένο όγκο νερού μέσω της προσομοίωσης των συσκευών κατανάλωσης νερού ενός νοικοκυριού χρησιμοποιώντας το εργαλείο Urban Water Optionneering Tool(UWOT) (Makropoulos et al., 2008). Η υλοποίηση της παραπάνω προτεινόμενης μεθοδολογίας πραγματοποιήθηκε με τη σύνδεση του μοντέλου UWAB με το εργαλείο UWOT, δημιουργώντας την πλατφόρμα μοντελοποίησης UWAB-UWOT. Για την επαλήθευση της προτεινόμενης μεθοδολογίας χρησιμοποιήθηκε το αστικό σύστημα ύδρευσης της Αθήνας, το οποίο και προσομοιώθηκε στην πλατφόρμα UWAB-UWAT. Πιο συγκεκριμένα,μελετήθηκε η εξέλιξη της οικιακής ζήτησης νερού κατά την περίοδο εκτεταμένης ξηρασίας που σημειώθηκε στην Αθήνα, κατά την περίοδο 1988 – 1994. Αρχικά, το μοντέλο βαθμονομήθηκε και επαληθεύτηκε χρησιμοποιώντας μηνιαία δεδομένα οικιακής ζήτησης νερού για την παραπάνω περίοδο.Στη συνέχεια, αναπτύχθηκαν και μελετήθηκαν εναλλακτικές στρατηγικές διαχείρισης της ζήτησης νερού βάσει των εναλλακτικών μελλοντικών σεναρίων ζήτησης. Από τα αποτελέσματα προέκυψε ότι η σύνδεση ενός μοντέλου ABM, για την προσομοίωση της συμπεριφοράς των νοικοκυριών, με ένα μοντέλο προσομοίωσης του αστικού κύκλου νερού, δίνει τη δυνατότητα σύνθεσης υπολογιστικών πειραμάτων με στόχο την αξιολόγηση εναλλακτικών στρατηγικών διαχείρισης της οικιακής ζήτησης νερού από τις ρυθμιστικές αρχές.

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.

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 Domestic water demand forecasting in the Yellow River basin under changing environment

2018 ◽  
Vol 10 (3) ◽  
pp. 379-388
Author(s):  
Xiao-jun Wang ◽  
Jian-yun Zhang ◽  
Shamsuddin Shahid ◽  
Lang Yu ◽  
Chen Xie ◽  
...  
Keyword(s):  
River Basin ◽  
Water Demand ◽  
Yellow River ◽  
Yellow River Basin ◽  
The Yellow River ◽  
Earth System ◽  
Domestic Water ◽  
Content Type ◽  
Domestic Water Demand ◽  
The Yellow River Basin

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.

scholarly journals Optimal Water Resources Regulation for the Pond Irrigation System Based on Simulation—A Case Study in Jiang-Huai Hilly Regions, China

2019 ◽  
Vol 16 (15) ◽  
pp. 2717 ◽  
Author(s):  
Shangming Jiang ◽  
Shaowei Ning ◽  
Xiuqing Cao ◽  
Juliang Jin ◽  
Fan Song ◽  
...  
Keyword(s):  
Water Resources ◽  
Water Deficit ◽  
Water Demand ◽  
Water Allocation ◽  
Irrigation System ◽  
Domestic Water ◽  
Technological Support ◽  
Domestic Water Demand ◽  
Irrigation Districts ◽  
Regulation Model

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.

scholarly journals An improved area-based guideline for domestic water demand estimation in South Africa

Water SA ◽  
2018 ◽  
Vol 34 (3) ◽  
pp. 381 ◽  
Author(s):  
HJ Van Zyl ◽  
AA Ilemobade ◽  
JE Van Zyl
Keyword(s):  
South Africa ◽  
Water Demand ◽  
Demand Estimation ◽  
Domestic Water ◽  
Domestic Water Demand

Evidence on the Specification of Price in the Study of Domestic Water Demand

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

Positivism, post-positivism and domestic water demand: interrelating science across the paradigmatic divide

2011 ◽  
Vol 36 (4) ◽  
pp. 501-515 ◽  
Author(s):  
Liz Sharp ◽  
Adrian McDonald ◽  
Patrick Sim ◽  
Cathy Knamiller ◽  
Christine Sefton ◽  
...  
Keyword(s):  
Water Demand ◽  
Domestic Water ◽  
Domestic Water Demand
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