Quantification of Water Savings due to Drought Restrictions in Water Demand Forecasting Models-Reference-Cited by-同舟云学术

Quantification of Water Savings due to Drought Restrictions in Water Demand Forecasting Models

Published:2014-11 Issue:11 Volume:140 Page:04014035
ISSN:0733-9496
Container-title:Journal of Water Resources Planning and Management
language:en
Short-container-title:J. Water Resour. Plann. Manage.

Author:

Haque Md. Mahmudul¹,Hagare Dharma²,Rahman Ataur³,Kibria Golam⁴

Affiliation:

1. Ph.D. Student, School of Computing, Engineering and Mathematics, Univ. of Western Sydney, NSW 2751, Australia.

2. Senior Lecturer, School of Computing, Engineering and Mathematics, Univ. of Western Sydney, NSW 2751, Australia.

3. Associate Professor, School of Computing, Engineering and Mathematics, Univ. of Western Sydney, Building XB, Room 2.48, Kingswood, Penrith Campus, Locked Bag 1797, Penrith, NSW 2751, Australia (corresponding author).

4. Team Leader, Supply System Strategy, Sydney Catchment Authority, NSW 2750, Australia.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management, Monitoring, Policy and Law,Water Science and Technology,Geography, Planning and Development,Civil and Structural Engineering

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29WR.1943-5452.0000423

Reference44 articles.

1. An Econometric Assessment of Pricing Sydney’s Residential Water Use*

2. Peak Daily Water Demand Forecast Modeling Using Artificial Neural Networks

3. WATER SAVINGS FROM LAWN WATERING RESTRICTIONS DURING A DROUGHT YEAR, FORT COLLINS, COLORADO

4. Hybrid Fuzzy Regression–Artificial Neural Network for Improvement of Short-Term Water Consumption Estimation and Forecasting in Uncertain and Complex Environments: Case of a Large Metropolitan City

5. A multivariate econometric approach for domestic water demand modeling: An application to Kathmandu, Nepal

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