scholarly journals Machine Learning Modeling of Water Use Patterns in Small Disadvantaged Communities

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2312
Author(s):  
Yang Zhou ◽  
Bilal Muhammad Khan ◽  
Jin Yong Choi ◽  
Yoram Cohen

Water use patterns were explored for three small communities that are located in proximity to agricultural fields and rely on their local wells for potable water supply. High-resolution water use data, collected over a four-year period, revealed significant temporal variability. Monthly, daily, and hourly water use patterns were well described by autoregressive moving average (ARMA) models. Model development was supported by unsupervised clustering analysis via self-organizing maps (SOMs) that revealed similarities of water use patterns and confirmed the time-series water use model attributes. The inclusion of ambient temperature and rainfall as model attributes improved ARMA model performance for daily and hourly water use from R2 ~0.86–0.87 to 0.94–0.97 and from R2 ~0.85–0.89 to 0.92–0.98, respectively. Water use predictions for an entire year forward in time was feasible demonstrating ARMA models’ performance of (i) R2 ~0.90–0.94 and average absolute relative error (AARE) of ~2.9–4.9% for daily water use, and (ii) R2 ~0.81–0.95 and AARE ~1.9–3.8% for hourly water use. The study suggests that ARMA modeling should be useful for analysis of temporally variable water use in support of water source management, as well as assessing capacity building for small water systems including water treatment needs and wastewater handling.

1998 ◽  
Vol 40 (1) ◽  
pp. 53-67 ◽  
Author(s):  
Stephen R Gaze ◽  
Joost Brouwer ◽  
Lester P Simmonds ◽  
John Bromley

2009 ◽  
Vol 27 (5) ◽  
pp. 377-391 ◽  
Author(s):  
Leonard J. M. Githinji ◽  
Jacob H. Dane ◽  
Robert H. Walker

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0132094 ◽  
Author(s):  
Yongjun Zhang ◽  
Qing S. Cao ◽  
Daniel I. Rubenstein ◽  
Sen Zang ◽  
Melissa Songer ◽  
...  

2002 ◽  
Vol 94 (1) ◽  
pp. 136 ◽  
Author(s):  
Sangamesh V. Angadi ◽  
Martin H. Entz

2010 ◽  
Vol 9 (3) ◽  
pp. 548-560 ◽  
Author(s):  
Ronald J. Ryel ◽  
A. Joshua Leffler ◽  
Carolyn Ivans ◽  
Michael S. Peek ◽  
Martyn M. Caldwell

2013 ◽  
Vol 89 (02) ◽  
pp. 169-177 ◽  
Author(s):  
Guodong Jia ◽  
Xinxiao Yu ◽  
Wenping Deng

Water sources of woody plants in semi-arid or seasonally dry areas of China are little known. This study investigated the differences in water sources for plants due to seasonal changes (wet/transitional and dry seasons) in semi-arid areas. Stable isotope techniques were applied to determine plant water sources in different seasons. The results show that there is generally a switch of water sources from shallow depths in the rainy season to lower depths in the dry season. This study highlights how seasonal changes in climate in semi-arid China affect plant water uptake and suggests that further study with replicated systematic experiments are needed to better understand the responses in water use patterns to changes in environmental conditions in drought-prone areas.


2020 ◽  
Vol 228 ◽  
pp. 105876 ◽  
Author(s):  
Bishwoyog Bhattarai ◽  
Sukhbir Singh ◽  
Sangamesh V. Angadi ◽  
Sultan Begna ◽  
Rupinder Saini ◽  
...  

2019 ◽  
Vol 82 (sup1) ◽  
pp. 57-65 ◽  
Author(s):  
J. Buyinza ◽  
C. W. Muthuri ◽  
A. Downey ◽  
J. Njoroge ◽  
M. D. Denton ◽  
...  

Ecology ◽  
1977 ◽  
Vol 58 (3) ◽  
pp. 652-659 ◽  
Author(s):  
Gaylon S. Campbell ◽  
Grant A. Harris

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