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WATER

HASTINGS-Canada

Company Name:
Corporate Name:
WATER
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Company Description:  
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Company Address: 188 Front W,HASTINGS,ON,Canada 
ZIP Code:
Postal Code:
K0L 
Telephone Number: 7056962661 
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Website:
 
Email:
 
USA SIC Code(Standard Industrial Classification Code):
108010 
USA SIC Description:
GOVERNMENT OFFICES 
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Company News:
  • Use of Decision Tables to Simulate Management in SWAT+ - MDPI
    Decision tables have been used for many years in data processing and business applications to simulate complex rule sets Several computer languages have been developed based on rule systems and they are easily programmed in several current languages Land management and river–reservoir models simulate complex land management operations and reservoir management in highly regulated river
  • Eastern Gamagrass Responds Inconsistently to Nitrogen Application in . . .
    Eastern gamagrass (Tripsacum dactyloides) is a highly productive, highly palatable native grass tolerant to both drought and flooding It has frequently shown great response to nitrogen (N) applications, but the responses of southern native ecotypes in upland and bottomland sites have yet to be reported The objectives were to measure the responses of long-established eastern gamagrass with
  • Runoff Simulation and Climate Change Analysis in Hulan River Basin . . .
    The shortage of water resources is a long-standing constraint on the development of the Chinese economy and society In this paper, the climate change occurring in Hulan River Basin is analyzed using the data collected at Wangkui Meteorological Station from 1960 to 2020 The overall temperature in the basin shows an upward trend, with a cumulative increase of 1 6 °C, as does the precipitation
  • Water | An Open Access Journal from MDPI
    Water is a peer-reviewed, open access journal on water science and technology, including the ecology and management of water resources, and is published semimonthly online by MDPI Water collaborates with the Stockholm International Water Institute (SIWI) In addition, the American Institute of Hydrology (AIH), The Polish Limnological Society (PLS) and Japanese Society of Physical Hydrology
  • Streambed Median Grain Size (D50) across the Contiguous U. S. - MDPI
    The streambed median grain size (D50) has been an integral part of many sediment transport and stream power equations seeking to characterize stream channel stability conditions However, its previous usage is constrained by regional applicability, localization of datasets, and a limited number of data points This study uses a large and geographically diverse data set (n > 2400), from five
  • IPEAT+: A Built-In Optimization and Automatic Calibration Tool . . . - MDPI
    For almost 30 years, the Soil and Water Assessment Tool (SWAT) has been successfully implemented to address issues around various scientific subjects in the world On the other hand, it has been reaching to the limit of potential flexibility in further development by the current structure The new generation SWAT, dubbed SWAT+, was released recently with entirely new coding features SWAT+ is
  • A New Physically-Based Spatially-Distributed Groundwater Flow . . . - MDPI
    Watershed models are used worldwide to assist with water and nutrient management under conditions of changing climate, land use, and population Of these models, the Soil and Water Assessment Tool (SWAT) and SWAT+ are the most widely used, although their performance in groundwater-driven watersheds can sometimes be poor due to a simplistic representation of groundwater processes The purpose
  • Modeling Climate Warming Impacts on Grain and Forage Sorghum . . . - MDPI
    Earth’s near-surface temperatures and water availability are expected to change in the coming decades [11,12] By mid-21st century, temperatures are predicted to increase about 3–5 °C, depending on the greenhouse gas emission pathway, while precipitation patterns are predicted to shift [12,13,14] As a consequence of these changes in climatic conditions, it is expected that plant
  • Development of a Deep Learning-Based Prediction Model for Water . . . - MDPI
    The importance of efficient water resource supply has been acknowledged, and it is essential to predict short-term water consumption in the future Recently, it has become possible to obtain data on water consumption at the household level through smart water meters The pattern of these data is nonlinear due to various factors related to human activities, such as holidays and weather However
  • Sediment Yield and Reservoir Sedimentation in Highly Dynamic . . . - MDPI
    Soil erosion is exacerbated by unsustainable land-use activities and poor management practices, undermining reservoir storage capacity To this effect, appropriate estimation of sediment would help to adopt sustainable land-use activities and best management practices that lead to efficient reservoir operations This paper aims to investigate the spatial variability of sediment yield, amount




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