Review of water table depth planning for a multi objective water management system

1993 ◽  
Vol 6 (4) ◽  
pp. 265-274 ◽  
Author(s):  
Mahmoud Abu-Zeid
Keyword(s):  
Water Management ◽  
Water Table ◽  
Management System ◽  
Water Table Depth ◽  
Water Management System ◽  
Multi Objective

The Water in the Royal Monastery of Santa Maria De Poblet, Tarragona, Spain

2007 ◽  
Vol 7 (1) ◽  
pp. 261-267
Author(s):  
J.L. De la Peña ◽  
M. De la Peña ◽  
M. Salgot ◽  
Ll. Torcal
Keyword(s):  
Water Management ◽  
Water Scarcity ◽  
Management System ◽  
Integrated Water Management ◽  
Water Management System ◽  
Santa Maria ◽  
Semiarid Conditions

The history and water-related features in the Poblet Cistercian Monastery, located in Tarragona province, Spain are described. The study is undertaken with the main purpose of obtaining data for the establishment of an integrated water management system inside the walls of the abbey, which is suffering water scarcity due to increasing demands and the prevalent semiarid conditions.

scholarly journals Temporal and Local Heterogeneities of Water Table Depth under Different Agricultural Water Management Conditions

Water ◽  
2021 ◽  
Vol 13 (16) ◽  
pp. 2148
Author(s):  
Jonathan A. Lafond ◽  
Silvio J. Gumiere ◽  
Virginie Vanlandeghem ◽  
Jacques Gallichand ◽  
Alain N. Rousseau ◽  
...  
Keyword(s):  
Water Management ◽  
Water Table ◽  
Cropping Systems ◽  
Irrigation Management ◽  
Sprinkler Irrigation ◽  
Water Table Depth ◽  
Management Systems ◽  
Integrated Water Management ◽  
Growing Seasons ◽  
Good Drainage

Integrated water management has become a priority for cropping systems where subirrigation is possible. Compared to conventional sprinkler irrigation, the controlling water table can lead to a substantial increase in yield and water use efficiency with less pumping energy requirements. Knowing the spatiotemporal distribution of water table depth (WTD) and soil properties should help perform intelligent, integrated water management. Observation wells were installed in cranberry fields with different water management systems: Bottom, with good drainage and controlled WTD management; Surface, with good drainage and sprinkler irrigation management; Natural, without drainage, or with imperfectly drained and conventional sprinkler irrigation. During the 2017–2020 growing seasons, WTD was monitored on an hourly basis, while precipitation was measured at each site. Multi-frequential periodogram analysis revealed a dominant periodic component of 40 days each year in WTD fluctuations for the Bottom and Surface systems; for the Natural system, periodicity was heterogeneous and ranged from 2 to 6 weeks. Temporal cross correlations with precipitation show that for almost all the sites, there is a 3 to 9 h lag before WTD rises; one exception is a subirrigation site. These results indicate that automatic water table management based on continuously updated knowledge could contribute to integrated water management systems, by using precipitation-based models to predict WTD.

The Pre-Hispanic Maya Reservoir System at Kinal, Peten, Guatemala

1994 ◽  
Vol 5 (1) ◽  
pp. 97-106 ◽  
Author(s):  
Vernon L. Scarborough ◽  
Robert P. Connolly ◽  
Steven P. Ross
Keyword(s):  
Water Management ◽  
Management System ◽  
Water Sources ◽  
Dry Season ◽  
Water Management System ◽  
Reservoir System ◽  
System Characteristic ◽  
Catchment Areas ◽  
Lowland Maya

AbstractThe southern Lowland Maya hilltop center of Kinal is shown to be a human-modified watershed. The broad paved surfaces of the elevated central precinct acted as runoff-catchment areas directing precipitation into gravity-fed channels and reservoirs. In a geographical zone affected by an extended dry season and away from permanent water sources, Kinal demonstrates the components of a rainfall-dependent water-management system characteristic of other large sites in the region.

scholarly journals Analytics Driven Water Management System for Bangalore City

2014 ◽  
Vol 70 ◽  
pp. 1137-1146 ◽  
Author(s):  
A. Merchant ◽  
M.S. Mohan Kumar ◽  
P.N. Ravindra ◽  
P. Vyas ◽  
U. Manohar
Keyword(s):  
Water Management ◽  
Management System ◽  
Water Management System ◽  
Bangalore City

IOT Based Water Management System For Crops Using Conventional Machine Learning Techniques

2021 ◽  
Author(s):  
Tiramareddy Manasa Swetha ◽  
Tekkali Yogitha ◽  
Manche Kuruba Sai Hitha ◽  
Puppala Syamanthika ◽  
S S Poorna ◽  
...  
Keyword(s):  
Water Management ◽  
Machine Learning ◽  
Management System ◽  
Machine Learning Techniques ◽  
Water Management System ◽  
Learning Techniques ◽  
Conventional Machine

Efficient Smart Water Management System Using IoT Technology

2021 ◽  
Author(s):  
Md. Nazmul Alam ◽  
Abu Shufian ◽  
Md. Abdullah Al Masum ◽  
Abdullah Al Noman
Keyword(s):  
Water Management ◽  
Management System ◽  
Water Management System ◽  
Smart Water
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