Structured water balance methodology for water consumption estimation for a mining operation in central Chile: seasonal temperature effect on evaporation, seepage and water demand

2016 ◽  
Vol 31 (7) ◽  
pp. 488-504 ◽  
Author(s):  
F. Pasten ◽  
A. Videla ◽  
J. Munoz
Keyword(s):  
Water Balance ◽  
Temperature Effect ◽  
Water Consumption ◽  
Water Demand ◽  
Mining Operation ◽  
Seasonal Temperature ◽  
Central Chile

scholarly journals Evaluation of Ecological Water Consumption in Yanhe River Basin Based on Big Data

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Ting Guo ◽  
Huiying Yu
Keyword(s):  
Big Data ◽  
River Basin ◽  
Water Consumption ◽  
Water Demand ◽  
Environmental Water ◽  
Big Data Analysis ◽  
Ecological Environment ◽  
Sustainable Utilization ◽  
Runoff Change ◽  
Consumption Change

Starting from the main eco-environmental problems faced by water environment, taking Yanhe River Basin as an example, this paper discusses the theoretical connotation and evaluation calculation method of eco-environmental water consumption. In order to study the eco-environmental water consumption of Yanhe River Basin, a runoff driving factor mining method based on big data analysis is established in this paper. Aiming at the problem that the statistical law and genetic law of runoff change frequently in changing environment, the mining technology method of runoff key driving factors is proposed by combining traditional methods with big data analysis. The characteristic factors that have no significant impact on runoff change are removed, the implicit characteristic factors affecting runoff change are extracted, the driving relationship of hydrological, meteorological, and vegetation characteristic factors on ecological water consumption change is identified, and the key driving factors of ecological water consumption change are extracted, which lays a data foundation for ecological water consumption prediction based on machine learning. The economic water consumption based on eco-environmental water consumption in Yanhe River Basin in the future is predicted (including water demand in three aspects of industry, agriculture, and life); that is, the prediction is to meet the economic water demand on the basis of ensuring that the water consumption of ecological environment will not be occupied, which can effectively ensure the improvement of ecological environment function in Yanhe River Basin and is conducive to the sustainable utilization of water resources in Yanhe River Basin. The research is only based on a small watershed such as Yanhe River Basin, and the purpose of the research is to provide a reference for ecological environment protection and sustainable utilization of water resources in the Loess Plateau, even in the arid, semiarid, and semihumid areas of North China.

scholarly journals Assessing water demand with remote sensing for two coriander varieties

2018 ◽  
Vol 36 (3) ◽  
pp. 266-273
Author(s):  
Euseppe Ortiz ◽  
Enrique A. Torres
Keyword(s):  
Remote Sensing ◽  
Water Balance ◽  
Water Demand ◽  
Vegetation Index ◽  
Normalized Difference Vegetation Index ◽  
Digital Camera ◽  
Crop Coefficient ◽  
Remote Sensors ◽  
The Relationship ◽  
Important Basis

The use of remote sensing to determine water needs has been successfully applied by several authors to different crops, maintaining, as an important basis, the relationship between the normalized difference vegetation index (NDVI) and biophysical variables, such as the fraction of coverage (fc) and the basal crop coefficient (Kcb). Therefore, this study quantified the water needs of two varieties of coriander (UNAPAL Laurena CL and UNAPAL Precoso CP) based on the response of fc and Kcb, using remote sensors and a water balance according to the FAO-56 methodology. A Campbell Scientific meteorological station, a commercial digital camera and a portable spectro radiometer were used to obtain information on the environmental conditions and the crop. By means of remote sensing associated with a water balance, it was found that the water demand was 156 mm for CL and 151 mm for CP until the foliage harvest (41 d after sowing); additionally, the initial Kcb was 0.14, the mean Kcb was 1.16 (approximately) and the final Kcb was 0.71 (approximately).

scholarly journals Development, calibration and validation of weighing lysimeters for measurement of evapotranspiration of crops

2019 ◽  
Vol 23 (4) ◽  
pp. 297-302 ◽  
Author(s):  
William Fenner ◽  
Rivanildo Dallacort ◽  
Cleonir A. Faria Junior ◽  
Paulo S. L. de Freitas ◽  
Tadeu M. de Queiroz ◽  
...  
Keyword(s):  
Water Balance ◽  
Water Demand ◽  
Water Mass ◽  
Phaseolus Vulgaris L ◽  
High Confidence ◽  
Mato Grosso ◽  
Atmosphere System ◽  
Water Plant ◽  
Load Cells ◽  
The City

ABSTRACT The evapotranspiration process is critical to studies on the water balance and water demand of crops and can be determined by several methods. A widely-used method, despite its high installation costs, is weighing lysimeters, which consists of a box over a balance connected to a load cell that monitors variations in the soil-water-plant-atmosphere system. The aim of this study was to develop and calibrate six weighing lysimeters (with dimensions of 1.5 x 1.5 x 1.2 m each) by high precision load cells, testing their ability to measure water mass changes in field conditions and cultivated with common bean (Phaseolus vulgaris L.), in the city of Tangará da Serra, in the state of Mato Grosso, Brazil. All lysimeters showed coefficients of determination higher than 0.99, as well as Willmott indexes, correlation and high confidence indexes, indicating that the equipment is suitable for measuring mass variations in water balance and evapotranspiration studies, representing the reality which occurred in the field.

scholarly journals Forecasting Urban Water Demand Using Cellular Automata

Water ◽  
2020 ◽  
Vol 12 (7) ◽  
pp. 2038
Author(s):  
Laís Marques de Oliveira ◽  
Samíria Maria Oliveira da Silva ◽  
Francisco de Assis de Souza Filho ◽  
Taís Maria Nunes Carvalho ◽  
Renata Locarno Frota
Keyword(s):  
Cellular Automata ◽  
Water Consumption ◽  
Water Demand ◽  
Water Resource Management ◽  
Transition Probability ◽  
Management Strategies ◽  
Weight Of Evidence ◽  
Annual Growth Rate ◽  
Urban Water ◽  
Urban Water Demand

Associating the dynamic spatial modeling based on the theory of cellular automata with remote sensing and geoprocessing technologies, this article analyzes what would be the per capita consumption behavior of Fortaleza-CE, located in the Northeast of Brazil, in 2017, had there not been a period of water scarcity between 2013 and 2017, and estimates the future urban water demand for the years 2021 and 2025. The weight of evidence method was applied to produce a transition probability map, that shows which areas will be more subject to consumption class change. For that, micro-measured water consumption data from 2009 and 2013 were used. The model was validated by the evaluation of diffuse similarity indices. A high level of similarity was found between the simulated and observed data (0.99). Future scenarios indicated an increase in water demand of 6.45% and 10.16% for 2021 and 2025, respectively, compared to 2017. The simulated annual growth rate was 1.27%. The expected results of urban water consumption for the years 2021 and 2025 are essential for local water resources management professionals and scientists, because, based on our results, these professionals will be able to outline future water resource management strategies.

Developing a demand model integrating end uses of water (DMEUW): structure and process of integration

2015 ◽  
Vol 71 (4) ◽  
pp. 529-537 ◽  
Author(s):  
R. C. Sarker ◽  
S. Gato-Trinidad
Keyword(s):  
Water Consumption ◽  
Water Conservation ◽  
Water Demand ◽  
Daily Rainfall ◽  
Demand Model ◽  
Data Set ◽  
Residential Water Consumption ◽  
End Use ◽  
Hypertext Markup Language ◽  
End Uses

The process of developing an integrated water demand model integrating end uses of water has been presented. The model estimates and forecasts average daily water demand based on the end-use pattern and trend of residential water consumption, daily rainfall and temperature, water restrictions and water conservation programmes. The end-use model uses the latest end-use data set collected from Yarra Valley Water, Australia. A computer interface has also been developed using hypertext markup language and hypertext pre-processor. The developed model can be used by water authorities and water resource planners in forecasting water demand and by household owners in determining household water consumption.

A Water Balance Analysis for Assessing Water Demand and Supply in Administrative Districts

2016 ◽  
Vol 12 (4) ◽  
pp. 153-166 ◽  
Author(s):  
Hyung San Kim ◽  
◽  
Seung Jin Maeng ◽  
Kyeong Soo Jeon ◽  
Dong Joo Kim ◽  
...  
Keyword(s):  
Water Balance ◽  
Water Demand ◽  
Demand And Supply ◽  
Water Demand And Supply ◽  
Balance Analysis

Analysis of Fairness of Water Use Based on Geordie Coefficient in China

2012 ◽  
Vol 212-213 ◽  
pp. 123-129
Author(s):  
Hua Xin Chen ◽  
Xin Yi Xu
Keyword(s):  
Water Resources ◽  
Water Use ◽  
Water Consumption ◽  
Water Demand ◽  
Water Quantity ◽  
Analysis Method ◽  
The North ◽  
Set Up ◽  
North And South

Bases on the expansion of Geordie Coefficient, a analysis method for water consumption fairness have been set up, and the Geordie coefficients are calculated to describe the influence of population, GDP, water quantity on water use of China in 2009. Then water demand coefficient is put forward to estimate the reasons for unfairness of water use. Moreover, Geordie coefficient of the North and South of China is analyzed. The results show that Geordie Coefficient represents unfairness of water use, which result from the unfair factors, including population, GDP, and water quantity. The research can provide reference for reasonable configuration of the water resources.

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