Prediction of urban residential end-use water demands by integrating known and unknown water demand drivers at multiple scales I: Model development
MetadataShow full item record
Detailed prediction of water demand by their end-uses at multiple scales is essential to support planning of Integrated Urban Water Management, an increasingly applied approach to deal with the problem of water scarcity. This paper presents an urban residential water demand modeling framework that can predict end-use water demand at multiple scales, especially at small scales with a robust explanatory capacity. This is achieved by integrating the complex water demand dynamics of urban residential water use and their underlying variables into a single model. The model described in this study can predict shower, toilet, tap, dishwasher, clothes washer, irrigation, evaporative cooler, bath, and other uses which account for the entire household water use. The model aims to predict water demand at multiple spatial (household/cluster/suburb) and temporal scales (hourly, daily, weekly and seasonal) by considering behavioral differences triggered by factors such as seasonality and presence of people at home. The model incorporates an improved representation of spatial variability by considering behavioral differences between customer groups, and improves the capability to deal with areas with different demographic and housing characteristics. This research confirms the capacity of stochastic modeling methods to represent unexplained behavior of water consumers.
Showing items related by title, author, creator and subject.
Title: Towards Identifying Context-Specific Soil and Water Conservation Practices and Water Harvesting Systems for the Sanannah Belt of Nothern Nigeria: A Matrix of Options Author: Diwediga, Badabate; 0000-0002-8636-0511; ORCIDDate: 2018-12-31Type: Internal ReportStatus: Limited accessIn the savannah belt of Northern Nigeria, ICARDA is supporting the CASP Programme (Climate Change Adaptation and Agribusiness Support of the Federal Ministry of Agriculture and Rural Development of Nigeria) in identifying ...
Title: Opportunities to improve the seasonal dynamics of water use in lentil (Lens culinaris Medik.) to enhance yield increase in water‑limited environments Author: Ghanem, Michel Edmond; 0000-0003-0626-7622; ORCIDDate: 2017-12-31Type: Journal ArticleStatus: Open accessLentil (Lens culinaris Medikus) is one of the most important annual food legumes that plays an important role in the food and nutritional security of millions in the world. Lentil is mainly grown under rainfed environments, ...
Title: Field level data collection on conjunctive use of canal water, drainage water and groundwater Author: Awan, Usman; 0000-0001-8663-5688; ORCIDDate: 2015-12-15Type: DatasetStatus: Limited accessConjunctive water management