Esap-95 software package contains a series of site salinity modeling software programs for analyzing and predicting soil salinity information. Esap-95 software package currently contains three software programs: esap-rssd, ESAP calibrate and ESAP saltmapper. The esap-rssd program is designed to produce the best results of soil sampling designs from bulk soil conductivity surveys. Esapcalibrate program is designed to estimate stochastic (regression model) and deterministic (soil) theoretical basis) calibration equations; i.e. These equations are eventually used to predict the spatial values of one or more soil variables, derived from electrical conductivity measurements. ESAP saltmappercheng program can be used to produce high-quality 1D or 2D graphics, output electrical measurement data or predict soil variables.

The UNMIX model is a mathematical receptor model developed by scientists from the U.S. Environmental Protection Agency. It provides scientific support for the development and review of air and water quality standards, exposure studies and environmental forensics. UNMIX can analyze a wide range of environmental sample data: sediment, wet deposition, surface water, ambient air and indoor air.

Anuga hydrodynamic modeling tool can build complex 2D hydrodynamic model. For example, simulate the fracture of a dam or the impact of natural disasters such as storms and tsunamis. A research area must be designated as a triangular unit, if applicable, to determine topography and bathymetric measurements, friction, initial water level values (Anuga referred to as the first stage), boundary conditions and forces such as rainfall, river flow, wind stress and pressure gradient networks. Anuga simulated the evolution of water depth and horizontal momentum with time in each element by solving the shallow water wave equation and using the finite volume method.

The vegetation model SSiB was developed in the late 1980s. It is based on the SIB proposed by sellers et al. In 1986. The simplification is mainly aimed at the calculation of radiation transfer, aerodynamic drag coefficient and stomatal resistance coefficient in plants. The simplified SSiB has 1 layer of vegetation, 3 layers of soil and 8 forecast variables (moisture of 3 layers of soil, water content of vegetation surface, snow cover of soil surface and leaf surface temperature). Therefore, there are only two predictors: soil surface temperature and deep soil temperature. In the model, stomatal resistance coefficient, soil resistance coefficient, vegetation boundary layer resistance coefficient and two-layer aerodynamic resistance coefficient are used to control the dynamic, thermal and water exchange between the earth and the atmosphere.

Ramms:: avalanche model is used to simulate avalanche in complex terrain. The model has been widely used in avalanche hazard studies in Switzerland. The ramms:: avalanche model combines state-of-the-art digital solutions with helpful input features and friendly visualization tools. Many of the input and output features are optimized, enabling users to easily modify dangerous scenarios and control simulation results. The core of the program is an effective second-order numerical solution, that is, the depth averaged avalanche dynamic equation. In the 3D digital terrain model, the velocity and velocity of avalanche are calculated. Using the GIS type drawing feature, you can easily specify a single or multiple publishing areas. Users can get useful overview information about the simulation, including important information about the release area (average slope, total capacity), traffic behavior (maximum flow and height), and stop behavior (mass flow). Maps and remote sensing images can be superimposed on terrain models to help determine input conditions and calibrate models based on known events. The ramms:: avalanche model has been used in more than 70 places around the world, and the software has been successfully applied to high mountain areas such as the Alps, Himalayas, Andes, Rockies, tatare and other areas.

Thresh model is a precipitation tracking program, which is used to calculate various precipitation indexes to compare with the existing or experimental threshold of landslide occurrence. The program calculates the cumulative precipitation, precipitation intensity and precipitation duration, and compares the results with the threshold value to determine the threshold value used in landslide early warning. This command-line program is used with Python and shell scripts for input files and visualization results.