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United States Department of Agriculture

Agricultural Research Service

Research Project: Integrated Field Scale Management Systems for the Use of Degraded Waters

Location: Water Reuse and Remediation Research

2013 Annual Report


1a. Objectives (from AD-416):
Objective 1: Evaluate a multi-sensor platform for salinity and irrigation management for the use of combined sensor technology, such as high resolution satellite imagery, EMI, and RTK-GPS (high resolution 3-D spatial information) for management of degraded waters. Objective 2: Improve our ability to predict the impact of degraded waters on infiltration into soils and plant response to irrigation with these waters by; a) determining the impact of using degraded waters for irrigation, including the effect of solution chemistry, high dissolved organic matter, and application of organic wastes, on soil physical and chemical properties; b) developing a new plant response sub model which considers salinity, soil water ion composition, drought stress, and evapotranspiration based on existing data sets, suitable for making field scale management decisions; and c) develop decision tools for use of waters impacted by salinity and potentially toxic elements, with emphasis on boron. Objective 3: Evaluate management strategies for use of degraded waters; a) test and validate applications of stream tube technology for field-scale parameterization of transport models that are applicable as decision tools for determination of plant response, leaching needs and management recommendations; b) develop a decision support tool for the field that utilizes salinity mapping, stream tube technology for delineating regions in the field and simplified modeling for salinity management of these regions.


1b. Approach (from AD-416):
Objective 1: We will evaluate the ability of a multi-sensor platform (ER, EMI, gamma-ray spectrometry) coupled to RTK-GPS to characterize the spatial distribution of texture, water content, salinity, and sodicity. Statistical analysis will be performed by determining correlation coefficients between sensor measurements and soil properties followed by a more extensive analysis using spatial regression models. Linear model-based statistical tests will be used to assess the adequacy and precision of the regression equations derived from the single and multi-sensor directed sampling strategies. Objective 2: a) We will examine the effects of a high dissolved organic carbon (DOC) treated municipal waste water on infiltration. We will next examine the effects of DOC and its interaction with SAR and pH on infiltration clay flocculation and saturated hydraulic conductivity on soils selected with a range in properties to develop new soil stability relationships. b) Plant relative yield functions will be developed and incorporated into UNSATCHEM model. c) We will develop a new B soil test for adsorbed and soluble B. d) Treated municipal waste waters will be measured for DOC, EC, pH and major ion composition, next utilized in boron adsorption experiments, and the boron adsorption as related to DOC described using a chemical surface complexation model. We will also investigate B desorption on soils having varying amounts of organic matter and examine B adsorption-desorption reaction on hysteretic soils after organic matter removal. If needed, we will develop a predictive model relating hysteresis to organic matter content. Objective 3: a) An intensive geospatial ECa survey will be used to delineate stream tubes in each of the two fields at a site with different quality irrigation water. Geospatial ECa measurements will be obtained with the multiplatform sensors from Objective 1. Eight classes of stream tubes will be identified using the EMh/EMv ratio and geometric mean of EMh and EMv as the classification criteria. Within each of 16 sub-classes a stream tube will be selected and 4 random sites within the tube will be selected for parameterization. Irrigation frequency, volumes of water applied and infiltration rates will be measured, soil samples collected and analyzed for EC and ion composition. b) We will evaluate changes in soil physical and chemical properties due to differences in irrigation water quality.


3. Progress Report:
Integration of the real-time kinetics GPS, electromagnetic induction (e.g. EM38 and DUALEM-2 electrical conductivity meters), and gamma-ray spectrometer onto a single mobile platform for Objective 1 is near completion. Preliminary testing of the gamma-ray spectrometer investigating the depth of measurement indicated variation in depth from 5-15 cm from one location to the next. The cause for the variation in depth of penetration is currently unknown. The inability to find a field site meeting all the criteria needed to evaluate management strategies for degraded water reuse in Objective 3 resulted in the use of a contingency site (32.4-ha Westlake Farm field) to evaluate stream tubes. An apparent soil electrical conductivity survey of the site using electromagnetic induction equipment has been completed along with associated soil sampling (192 cores). Soil sample preparation (i.e., grinding, sieving) and saturation extracts has been completed. Analyses of the soil properties of interest for the samples are 30% complete. Preliminary stream tubes have been established. Recycled waste waters have been identified as sources of dissolved organic matter and are currently being collected to evaluate the impact of this material on boron complexation and boron transport in soils. Laboratory soil flocculation studies have been initiated. Solutions for the soil flocculation study were prepared according to chemical compositions calculated using the EXTRACTCHEM program. The solutions range in electrical conductivity from 0.5 to 4 dS/m, sodium adsorption ratio from 2 to 16, and pH values from 5 to 9. A protocol for measuring percent clay dispersed by optical methods has been developed and is being tested on the first soil. Selenate adsorption was measured on a set of Midwestern soils as a function of solution pH. Chlorpyrifos adsorption on Turkish soils was described using a surface complexation model. The newly developed soil B test was evaluated for its ability to quantitatively recover B added to a set of soils from California, Iowa, and Oklahoma. The test was found to recover much higher amounts of adsorbed boron as compared to the present recommendations. A study on the impact of organic components of recycled wastewater on infiltration as related to irrigation water pH and sodium adsorption ratio has been completed. We compared the infiltration rate of wastewater adjusted to various pH and sodium adsorption ratios to the infiltration rate of prepared waters of the same chemical composition as the wastewater (only without the dissolved organic matter). In this outdoor study, we measured both the infiltration rate of the irrigation water as well as infiltration under the rain simulator. We also examined the impact of varying sodium adsorption ratios and pH on infiltration of two additional soils that will also be utilized in the flocculation studies. A study was conducted on the water retention as related to the water potential in soil samples collected at the termination of the infiltration study.


4. Accomplishments


Review Publications
Goldberg, S.R. 2013. Modeling selenite adsorption envelopes on oxides, clay minerals, and soils using the triple layer model. Soil Science Society of America Journal. 77(1):64-71.

Goldberg, S.R., Suarez, D.L. 2013. Arsenate adsorption by unsaturated alluvial sediments. Soil Science Society of America Journal. 77(3):782-791.

Corwin, D.L., Lesch, S.M. 2013. Protocols and guidelines for field-scale measurement of soil salinity distribution with ECa-directed soil sampling. Journal of Environmental & Engineering Geophysics. 18(1):1-25.

Corwin, D.L. 2013. Site-specific management and delineating management zones. In: Oliver, M. editor. Precision Agriculture for Food Security and Environmental Protection. London, UK: Earthscan. p. 135-157.

Skaggs, T.H., Suarez, D.L., Goldberg, S.R. 2013. Effects of soil hydraulic and transport parameter uncertainty on predictions of solute transport in large lysimeters. Vadose Zone Journal. doi:10.2136/vzj2012.0143.

Last Modified: 10/18/2017
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