scholarly journals Investigation of the Hydrologic Monitoring Network of the Willcox and Douglas Basins of Southeastern Arizona: A Project of the Rural Watershed Initiative

Fact Sheet ◽  
2006 ◽  
Author(s):  
A.D. Konieczki
Keyword(s):  
Monitoring Network ◽  
Hydrologic Monitoring

scholarly journals Developing a Hydrologic Monitoring Network in Data‐Scarce Regions Using Open‐Source Arduino Dataloggers

ael ◽  
2016 ◽  
Vol 1 (1) ◽  
pp. 160011 ◽  
Author(s):  
Silja V. Hund ◽  
Mark S. Johnson ◽  
Tom Keddie
Keyword(s):  
Open Source ◽  
Monitoring Network ◽  
Hydrologic Monitoring

Hydrologic Monitoring Network in Central and South Florida

2007 ◽  
Author(s):  
Chandra S. Pathak ◽  
Zhiming Chen ◽  
Anthony Larenas ◽  
Madhav Pandey ◽  
John Raymond ◽  
...  
Keyword(s):  
Monitoring Network ◽  
South Florida ◽  
Hydrologic Monitoring

Principles and Methods of Ecological Safety Management Through the Data of Air Monitoring Network Analysis

2019 ◽  
Vol 41 (4) ◽  
pp. 85-102 ◽  
Author(s):  
A.V. Iatsyshyn ◽  
◽  
Yu. G. Kutsan ◽  
V.O. Artemchuk ◽  
I.P. Kameneva ◽  
...  
Keyword(s):  
Network Analysis ◽  
Safety Management ◽  
Monitoring Network ◽  
Air Monitoring ◽  
Ecological Safety

Development of an IoT-based Noise Monitoring Network

2017 ◽  
Author(s):  
Aram Abdulqadir ◽  
Mohammed Shukur
Keyword(s):  
Monitoring Network

DEVELOPMENT OF INTEGRATED MONITORING NETWORK FOR MEASURING SALINITY OF SEA WATER

2018 ◽  
pp. 18-26
Author(s):  
Sima Ajdar qizi Askerova
Keyword(s):  
Surface Waters ◽  
Sea Water ◽  
Water Environment ◽  
Monitoring Network ◽  
Monitoring Networks ◽  
The Caspian Sea ◽  
Integrated Monitoring ◽  
Ecological Control ◽  
Different Depths ◽  
Optimal Construction

Monitoring of sea water condition is one of major requirements for carrying out the reliable ecological control of water environment. Monitoring networks contain such elements as sea buoys, beacons, etc. and are designated for measuringvarious hydrophysical parameters, including salinity of sea water. Development of specialized network and a separate buoy system for measuring thesea water salinity at different depths makes it possible to determine major regularities of processes of pollution and self-recovery of the sea waters. The article describes the scientific and methodological basics for development of this specialized network and questions of its optimal construction. It is well-known that at a depth of 30-45 m of the Caspian Sea salinity decreases and then at a depth of 45-60 m salinity is fully recovered. The mentioned changes of salinity at the relatively upper layer of sea waters is of special interest for studying the effect of ocean-going processes on the climate forming in the Caspian area. In terms of informativeness of measurements of surface waters salinity, the most informative is a layer ata 30-60 m depth, where inversion and recovery of salinity take place. It is shown that in most informative subrange of measurements, i. e. at a depth of 30-60 m optimization of regime of measurements complex should be carried out in order to increase the effectiveness of held researches. It is shown that at a depth of 35-50 m choice of the optimum regime of measurements makes it possible to obtain the maximum amount of information.

Spatial Hotspot Analysis of Bucharest’s Urban Heat Island (UHI) Using Modis Data

2018 ◽  
Vol 18 (1) ◽  
pp. 14-22 ◽  
Author(s):  
Georgiana Grigoraș ◽  
Bogdan Urițescu
Keyword(s):  
Surface Temperature ◽  
Air Temperature ◽  
Land Surface Temperature ◽  
Hot Spots ◽  
Land Surface ◽  
Hot Spot ◽  
Monitoring Network ◽  
Residential Areas ◽  
Hotspot Analysis ◽  
The City

Abstract The aim of the study is to find the relationship between the land surface temperature and air temperature and to determine the hot spots in the urban area of Bucharest, the capital of Romania. The analysis was based on images from both moderate-resolution imaging spectroradiometer (MODIS), located on both Terra and Aqua platforms, as well as on data recorded by the four automatic weather stations existing in the endowment of The National Air Quality Monitoring Network, from the summer of 2017. Correlation coefficients between land surface temperature and air temperature were higher at night (0.8-0.87) and slightly lower during the day (0.71-0.77). After the validation of satellite data with in-situ temperature measurements, the hot spots in the metropolitan area of Bucharest were identified using Getis-Ord spatial statistics analysis. It has been achieved that the “very hot” areas are grouped in the center of the city and along the main traffic streets and dense residential areas. During the day the "very hot spots” represent 33.2% of the city's surface, and during the night 31.6%. The area where the mentioned spots persist, falls into the "very hot spot" category both day and night, it represents 27.1% of the city’s surface and it is mainly represented by the city center.

Seismic monitoring network based on MEMS sensors

2019 ◽  
Vol 32 (3-4) ◽  
pp. 179-185
Author(s):  
Zhen-xuan Zou ◽  
◽  
Ming Zhang ◽  
Xu-dong He ◽  
Sheng-fa Lin ◽  
...  
Keyword(s):  
Monitoring Network ◽  
Seismic Monitoring ◽  
Mems Sensors
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