Source: TEXAS A&M UNIVERSITY submitted to
WATER SYSTEMS MODELING FOR HOLISTIC WATER MANAGEMENT IN ARID REGIONS.ÿ 
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
NEW
Funding Source
Reporting Frequency
Annual
Accession No.
1022633
Grant No.
(N/A)
Project No.
TEX09812
Proposal No.
(N/A)
Multistate No.
(N/A)
Program Code
(N/A)
Project Start Date
Apr 16, 2020
Project End Date
Mar 28, 2025
Grant Year
(N/A)
Project Director
Kumar, SA.
Recipient Organization
TEXAS A&M UNIVERSITY
750 AGRONOMY RD STE 2701
COLLEGE STATION,TX 77843-0001
Performing Department
Biological & Agricultural Engineering
Non Technical Summary
The role water plays in the wellbeing of society, particularly in arid regions, has been very well recognized. It is widely accepted that the interactions between the natural, urban, agricultural, and energy-water systems control regional water management, and even overall arid region community sustainability. Understanding the dynamics of complex water systems, including inter- and intra-system linkages are necessary for effective holistic water management. This project tackles issues related to model development, integration, and developing interactions with the community. The project proposes to develop a model for agricultural water application and use aerial survey data from UAV to in part drive the model. This model, in turn, maybe a part of an integrated system to understand regional water use based on the concept of "OneWater". The integrated OneWater system models developed will combine expert opinion and scientific understanding with empirical/statistical data-driven relations to inform joint-reasoning by various stakeholders.
Animal Health Component
0%
Research Effort Categories
Basic
100%
Applied
(N/A)
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1020210205050%
4020210202050%
Goals / Objectives
Objectives:The primary objectives of the program are the following:1. Develop a water-salt interaction model for agricultural applications2. Develop methods that convert remote sensing to actionable data products3. Develop an agroecosystem model that can assimilate remotely sensed data products4. Apply integrated systems modeling approaches for the arid regions to exploreinteractions with other systems and enable OneWater thinking.5. Work with selected multi-state projectsa. S1069: Research and Extension for Unmanned Aircraft Systems (UAS)Applications in U.S. Agriculture and Natural Resources.b. SDC101: Advanced Understanding and Prediction of Pollutants in CriticalLandscapes in Watersheds
Project Methods
Develop a water-salt interaction model for agricultural applicationsTwo versions of this model are being developed in the ISEE system STELLA (closed software designed for system dynamic simulation) and python. The new model will be open-source, developed for integration with modern data (e.g., UAS based sensing) and computing methods available.The models will be evaluated by comparing with observationDevelop methods that convert remote sensing to actionable data productsProcess-based and data models will be developed that convert observed reflectances to usable data products that facilitate decision making. The task of converting observed reflectance to usable data products requires both process-based and data-based (machine learning) modeling.The models will be evaluated by comparing with observationDevelop an agroecosystem model for assimilating remotely sensed data productsWe will test the hypothesis that by using widely applied (in other domains) techniques of data assimilation for integrating data products from aerial remote sensing with simpler 1D grid-based numerical models, spatially explicit field-scale modeling is possible. The model developed in objective 1 will be integrated with data products developed in objective 2 to test the hypothesisThe models will be evaluated by comparing with observationApply integrated systems modeling approaches for the arid region to explore interactions with other systems and enable OneWater thinking.Will work with other partners and stakeholders to develop the concept of OneWater.Work with selected multistate projects.S1069: Research and Extension for Unmanned Aircraft Systems (UAS) Applications in U.S. Agriculture and Natural Resources.SDC101: Advanced Understanding and Prediction of Pollutants in Critical Landscapes in Watersheds

Progress 04/16/20 to 09/30/20

Outputs
Target Audience:For the reporting period starting April this year. Wehave connected with several small growers in the region. We have identified three plots, and have partnered withthe growers, to collect data next growing season for model development and data collection. Changes/Problems:Due to COVID 19 restriction, some planned data collection using UAVs and Remote Sensing was postponed. These operations are expected to start next year. What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals?1. Develop a water-salt interaction model for agricultural applications. A model has been developed. We plan to update the model to better represent desalination in agriculture, integrate fertilizer and other amendment applications for cotton and pecan in the next reporting period. 2. Develop methods that convert remote sensing to actionable data products. We have identified three sites, monthly remote sensing data (multispectral, hyperspectral, and thermal) data will be collected for the three sites for the next growing season. These datasets will then be analyzed and converted to data products (e.g., spatially distributed Evapotranspiration) that may be utilized by growers. 3. Develop an agroecosystem model that can assimilate remotely sensed data products. The model developed in objective1 will be enhanced to assimilate the evapotranspiration (ET). ET will be observed using thermal remote sensing and also simulated using the model. The observed ET will be assimilated to better characterize other differences in the parameter that may not be easily measured (e.g, spatial heterogeneity within a field for salt accumulation) 4. Apply integrated systems modeling approaches for the arid regions to explore interactions with other systems and enable OneWater thinking. Continue developing system models that are being developed to explore transboundary water usage and energy-water nexus. 5. Work with selected multi-state projects: a. S1069: Research and Extension for Unmanned Aircraft Systems (UAS) Applications in U.S. Agriculture and Natural Resources The team will coordinate with other participants to synergistically develop methods and protocols. As discussed in item 2, monthly multi-sensor remotely sensed data will be collected next growing season. Will also participate in the annual meetings. b. SDC101: Advanced Understanding and Prediction of Pollutants in Critical Landscapes in Watersheds. The team will coordinate with other participants to synergistically develop methods and protocols.

Impacts
What was accomplished under these goals? 1. Develop a water-salt interaction model for agricultural applications. A model, SMITUV (System Dynamic Modeling of Infiltration, Solute Transport, and Root Water Uptake in Vadose Zone) was developed for simulating transient soil water flow, solute transport, and root water uptake in crops under water and salinity stress in a multilayered unsaturated soil layer. The model is been actively updated to better simulate the salt-water interactions in arid regions with flood irrigations. 2.Develop methods that convert remote sensing to actionable data products. Some data collection was conducted this season to develop a standard protocol for data collection. Data collection will start next growing season. 3. Develop an agroecosystem model that can assimilate remotely sensed data products. A model framework has been developed, that will be updated based on data products. 4. Apply integrated systems modeling approaches for the arid regions to explore interactions with other systems and enable OneWater thinking. System models are being developed that explore transboundary water usage and energy-water nexus. For transboundary water usage, working with partners, a system model is under developementthat will be able to simulate the dynamics of surface water and groundwater consumptions by various sectors (e.g., agriculture, municipal, and industrial) in both Mexico and the United States. This model should aid integrated water management and also help understand the expected demands in the future given the changes in long-term climate, growing cities, and expected changes in deep aquifer salinity. A proposal was submitted to develop a system model with partners from NMSU and UTEP to develop a holistic view of the energy and water resources in the arid region. Particular emphasis was placed on salt cycling and its feedback to the water quantity and consumptive use. 5. Work with selected multi-state projects: a. S1069: Research and Extension for Unmanned Aircraft Systems (UAS) Applications in U.S. Agriculture and Natural Resources Three research field siteshave been identified and a proposal was developed for S1069 that has been accepted. b. SDC101: Advanced Understanding and Prediction of Pollutants in Critical Landscapes in Watersheds. A proposal was developed with participants from Virginia Tech and other members of the Texas A&M AgriLife team that is looking to understand the socoenvironmental dynamics of the blue-green infrastructure design. Particularly by integrating social and environmental domains.

Publications

  • Type: Journal Articles Status: Published Year Published: 2021 Citation: Poulose, T. , S. Kumar, G. Ganjegunte (2021), Robust Crop Water Simulation using System Dynamic Approach for Participatory Modeling. Environmental Modelling & Software,104899, https://doi.org/10.1016/j.envsoft.2020.104899
  • Type: Journal Articles Status: Published Year Published: 2022 Citation: Alger, J., A. Mayer, S. Kumar, A. Granados?Olivas (2020), A Urban evaporative consumptive use for water?scarce cities in the United States and Mexico. AWWA Water Science.1 15. https://doi.org/10.1002/aws2.1185