Introduction and Objective:
Hydrology relies on precipitation values provided by Meteorological Services. Usually, such values are needed in the form of areal values with different temporal resolutions to ensure the successful implementation of hydrological services and to provide adequate support for research and planning purposes, there is a need for hydrological and meteorological data on various timescales. Climatological data are made available by Meteorological Services in the form of point values for stations. These are then used to calculate various time-based means — such as daily, monthly or annual averages, frequency or extreme-value distributions, and areal Analyses.
In hydrology and water resource management, many numbers of sensors are used for the planning and operation of water resource systems. For the design of structures such as dams, dikes, reservoirs, sewage treatment plants, and urban drainage systems, data on the occurrence probability of extreme events are required. This is possible with the aid of extreme-value considerations for the computation of flood probabilities, apart from discharge data, measurement data and estimations of extreme rainfall are also used. Probable maximum flood (PMF) is often computed from probable maximum precipitation (PMP) using simulation models.
We provide an innovative instrument for a specific solution for Hydrological and Geological Analysis of Rainfall-Runoff, Assessing the Risk of Landslides, Control of Rivers Level or Dams, Earthquake, the condition of Earth and Rocks, and Beneath of Earth Surface with Accurate Data of the Current State.
Our device and instruments provide the output data for the hydrological station for the study of the river’s water levels, temperature, speed, and direction of streamflow, ice phenomena, and turbidity. Hydrological and Geological stations include the condition of the sea or lake and the weather, color and the transparency of water, the chemical composition at various depths, the study of Luster: Quality of light reflected, color, the hardness of rocks, and magnetism, and more.
Meteoxperts Solutions’ stations and data logger allows the real-time control of measuring data and reliable monitoring as it’s required.
Precipitation Sensor: Precipitation sensors are used for measuring total rainfall. Which helps to analyze and forecast rain amount and duration.
Temperature & Humidity Sensor: Temperature & humidity sensor measures atmospheric temperature and relative humidity.
Barometric Pressure Sensor: A pressure sensor helps us to analyze atmospheric pressure.
Climate change prediction: With the help of hydrometeorology, we can forecast climate change.
Precipitation: Accurate measurement of precipitation is a continuing goal in meteorological research and a continuing need in hydrology which depends greatly on these data for modeling. Rain gauge networks are commonly dense in populated areas, but sparse in rural areas and rare in the upper reaches of most basins.
Remotely Sensed Soil Moisture: In all the parameters that affect river-level forecasts, soil moisture is perhaps the most difficult to determine. Saturated soil will absorb no rainfall, but will permit high runoff and, conversely, dry soil will absorb a great deal of rainfall and will permit little, if any, runoff. Measurements of soil moisture are rare, although some generalized estimates are made for large farming areas by agricultural or soil scientists.
Photography sensors: Hydrologists needs these sensors for hydrological study, perhaps to estimate the crop type, the snow extent, or snow thickness; perhaps the surface area of small lakes and ponds was the unknown parameter. In any event, aerial photography, particularly when taken in vertical stereo pairs, has been used to great advantage by the hydrologist for a variety of hydrological measurements.
Surface-water: One of the best-known applications of remote sensing to water resources is the inventorying of surface water bodies, particularly streams lakes, marshes, and bogs, within a given region. The area covered by open water is readily delineated by various remote-sensing techniques because of the particular radiation characteristics of water.
Landslide: With the help of measuring weather parameters we can predict landslide situations and can take precautions in time.