This study investigated the impact of different input variables on the predictability of the water content using soil water retention curve (SWRC) models. The particle and aggregate size distribution model parameters were calculated by fitting the Perrier model to the related distributions for 75 soil samples. Nine SWRC models were fitted to the experimental data and their coefficients were obtained. The regression method was used to estimate the coefficients for nine SWRC models at three input levels. Cluster analysis classified the SWRC models into more homogeneous groups according to the accuracy of their predictions. The SWRC estimated using the Gardner model had the highest accuracy, but it was not an appropriate model for the soils because of its low fitting accuracy. Boltzman, Campbell, and Fermi models obtained the highest accuracy after the Gardner model. The Durner model yielded the lowest prediction accuracy due to the lack of correlation between the input variables and coefficients in this model. Thus, the water content predictions obtained using different SWRC models varied because different input variables were employed.
Soil and Ground Water Remediation Case Study
On this State Funded Clean-Up project, Global was the project engineer and was responsible for the design of an air sparging/soil vapor extraction remediation system. The system included five soil vapor extraction wells and twelve sparging wells that operated on a rotating schedule. One of the soil vapor extraction wells and nine of the sparging wells were installed as horizontal wells beneath M-72 usingdirectional drilling method. Global designed the system, prepared the plans and specifications, oversaw bidding...
Assessing the success of floodwater spreading projects using a fuzzy approach
Floodwater spreading (FWS) is an important multi-objective technology in soil–water resources management, particularly to utilize excess runoff. More than 37 such schemes have been implemented in Iran. To measure the success of FWS projects, the factors influencing their performance is a prerequisite. Experienced professionals were asked to participate in a poll to identify the key factors that govern project success; a total of 50 researchers ultimately participated in the study. Seven factors were identified as...
How to Find the Best Soil Water Content Sensor for Your Application
Because there are many different types of soil water content sensors available, choosing the best one for your application may seem difficult or even confusing. To help you make your selection, it’s important to understand what soil water content sensors actually measure, what makes a good soil water content sensor, and how to make sense of the manufacturer specifications. In this article, I’ll cover these topics to help you with your sensor selection process. What do soil water content sensors...
Case Study - Groundwater Discharge Permit - Plymouth, Massachusetts
The process of obtaining a groundwater discharge permit for a subdivision scale septic absorption system was faciliated by using the advanced GIS features within EnviroInsite. Geologic features were downloaded and presented at the site scale along with the subdivision boundary and potential downgradient receptors. A cross-section was created showing the detailed soil descriptions, water levels were contoured, and the post-construction water levels shown by superimposing the calculated water table mound.
Interpreting the seasonal and long-term trend of nitrate in both groundwater and spring water in a ...
Timescale problems of nitrate behavior (i.e. seasonal variation and long-term trend) in headwater are closely related to its hydrological process. In a typical agricultural headwater catchment in the Chiba prefecture, Japan, the groundwater nitrate concentration showed an increasing trend, while for spring water, a substantial decreasing trend was observed during our monitoring period. Two key issues, (1) identification of multiple flow pathways and (2) evaluation of the residence time for different pathways,...