154 research outputs found
Topobathymetric 3D model reconstruction of shallow water bodies through remote sensing, GPS, and bathymetry
Since there are no mathematical models that can calculate the Laguna de Bustillos’ water storage levels, water balance requires this data to understand the connectivity between this water body and the Cuauhtemoc aquifer. This article presents a new three-dimensional reconstruction technique based on a time series of multispectral remote sensing images, bathymetry, a topographic survey with high precision GPS, and regional contours. With the images of Landsat ETM+/OLI and Sentinel 2A from 2012 to 2013, 2016, and 2017, the contours of the water surface were extracted using the MNDWI and were associated with an elevation received from GPS. An Autonomous Surface Vehicle was also used to obtain the bathymetry of the lake. A topographic survey was carried out using GPS in populated areas, and the contour lines extracted from the INEGI Continuous Elevations Model 3.0. A DEM was constructed using ArcGIS 10.5.1, and surfaces and volumes were calculated at different elevations and compared with 16 Landsat TM/ETM+/OLI multispectral images from 1999 to 2018. The results showed that the mean of the average intersection area between the test images and the area extracted from the 3D model is above 90.9% according to the confidence interval, kappa overall accuracy 95.2–99.7%, and a coefficient 89.9–99.3%. This model proved to be very accurate on a regional scale when the water level exceeded 1971.32 meters above mean sea level and useful to evaluate and administer water resources
Single-input, multiple-output iterative algorithm for the volume, area, elevation, and shape calculation using 3D topobathymetric models
Most methods for estimating the morphometric values of water bodies use equations derived from hypsographic curves or digital terrain models (DTMs) that relate depth, volume (V), and area (A), and that model the uncertainty inherent in the complex underwater morphology. This work tests the performance (precision and processing time) of an algorithm to calculate morphometric parameters of a lake that uses bathymetry and topography of the surrounding water body area. The projection of the water surface height (H) on each DTM pixel generates a water column with intrinsic attributes such as volume and area.
The process is replicated among all cells and estimates the total area and volume of the water body. If the V or A is the
input data, an algorithm that iterates height values is used to generate the new data, which is compared to the entered
value that functions as a reference. If the difference between the reference value and the calculated value is less than an
error threshold, the iteration stops, and the maximum and average depths are calculated. The raster and the shape
that represent the body of water are created. The crosscomparison of H-V-A showed that there is an error between
0.0034% and 0.000039% when any of the parameters are used as input data. Performance tests determined that pixel
dimensions are directly proportional to the processing time for each iteration. The results of the implementation of this
algorithm were satisfactory since, for the DTM of Bustillos Lake, Chihuahua, Mexico, the simulation took less than 17
seconds in at most 22 iterations
Investigation of the Origin of Hueco Bolson and Mesilla Basin Aquifers (US and Mexico) with Isotopic Data Analysis
An important tool to identify the origin of a groundwater resource is the use of isotopic
signatures. Isotopic signatures give us the age of water and provide information as to the water’s
origin, potential transit at geologic structures, source of salinization, and possible recharge points.
The purpose of this study was to collect and analyze well samples to evaluate isotopic tracers (δ
18O and tritium) in the transboundary Conejos-Médanos/Mesilla aquifer located between the US and
Mexico
Comparison of evaporation estimates from the REEM and EEFlux models in a shallow water body. Case: Bustillos Lake, Chihuahua, Mexico
Waterbody evaporation (E) within endorheic basins in semiarid areas is a critical factor in determining the water balance. Accurate E measurements can provide valuable information for the sustainable management of water resources in the face of climate change scenarios. However, evaporation can be estimated through methods as efficient as Penman using variables from agroclimatic stations, such as wind velocity, net radiation, relative humidity, and air temperature, which have a
spatiotemporal variability. Within the evaporation models based on remote sensing (RS) is the surface energy balance model (SEB), which has been applied to different methodologies and extends the measurements of evapotranspiration (ET) at a regional level. SEB-based methodologies use physical principles with minimal weather data requirements to estimate ET. Hence, this article compares two methodologies that estimate evaporation using RS: The Regional Evapotranspiration Estimate Model (REEM) and the Earth Engine Evapotranspiration Flux (EEFlux). Comparing ET measurements obtained from REEM and EEFlux for seven Landsat OLI scenes in the agriculture cycle of April to September applied against the simplified Penman equation showed that the REEM performed better (d=94%) than the EEFlux (d=68%) for the indicated period. Although the comparison of
REEM and EEFlux show accurate E measurements (REEM), gridded weather data (EEFlux) needs to improve, increasing the scale using local information
Integrating Economic Parameters And Engineering Parameters In Design And Management Of Hydraulic Systems
Irrigation practices vs. farm size: Data from the Elephant Butte Irrigation District
Report containing the results of a study to determine the efficiency of irrigation practices on farms of different sizes throughout the Elephant Butte Irrigation District (EBID)
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