A Soil Water Balance Model for Subsurface Water Management

2019 ◽  
Vol 35 (4) ◽  
pp. 633-646 ◽  
Author(s):  
Kelsey Kolars ◽  
Xinhua Jia ◽  
Dean D. Steele ◽  
Thomas F. Scherer
Keyword(s):  
Water Management ◽  
Soil Moisture ◽  
Water Table ◽  
Growing Season ◽  
Irrigation Scheduling ◽  
Subsurface Water ◽  
Clay Loam ◽  
Water Management System ◽  
Excess Water ◽  
Scheduling Method

Abstract. Most cropland in the upper Midwest will experience periods of excess water and drought conditions during a growing season. When the objective is to produce high yields, effective use of a subsurface water management system can help provide optimal soil moisture conditions for growth. A subsurface water management system includes draining excess water from the soil profile through subsurface drainage (SSD), managing the water table through controlled drainage (CD), or adding water to the drainage system during dry conditions (Subirrigation – SI). Subsurface water management can become difficult when determining the time and amount needed for SSD and SI, and (or) the optimal water table (WT) depth when using CD due to water movement in both the upward and downward directions. In this study, a 21 ha field with CD, a 17-ha field with CD + SI, and a 16 ha control field (surface drained only) over clay loam and silty clay loam soils were used to evaluate subsurface water management scheduling for corn (2013) and soybean (2014). The Checkbook Irrigation Scheduling method (Lundstrom and Stegman, 1988) was modified to include an algorithm to estimate the daily water balance contribution due to upward flux (UF) from a shallow water table. For the 2013 growing season, the UF reduction of the daily soil moisture deficit (SMD) was minimal due to deeper WT over the growing season and there was little difference between the modified and original Checkbook methods. For the 2014 growing season, the SMD estimates from the Modified Checkbook method produced closer estimates to the in-field SMD compared to the original Checkbook method. Therefore, adding SSD and shallow WT contributions in the Checkbook method produces similar, if not more accurate, estimations of daily SMD that can be used for subsurface water management. Keywords: Checkbook irrigation scheduling method, Model development, Subirrigation, Subsurface drainage.

scholarly journals Hydrologic Response of Meadow Restoration the First Year Following Removal of Encroached Conifers

Water ◽  
2019 ◽  
Vol 11 (3) ◽  
pp. 428 ◽  
Author(s):  
Christopher Surfleet ◽  
Thomas Sanford ◽  
Gregory VanOosbree ◽  
John Jasbinsek
Keyword(s):  
Soil Moisture ◽  
Water Table ◽  
Growing Season ◽  
Bare Soil ◽  
Subsurface Water ◽  
First Year ◽  
Hydrologic Response ◽  
Before And After ◽  
Hydrologic Change ◽  
Montane Meadow

This study examines the hydrologic response of a montane meadow the first winter following restoration by removal of encroached conifers. Hydrologic change was evaluated through statistical comparison of soil moisture and water table depths between the restored meadow, Marian Meadow, and a Control Meadow before and after restoration. Meadow water budgets and durations of water table depths during the growing season were evaluated. Electrical resistivity tomography profiles were collected to improve the spatial interpretation of subsurface water beyond well measurements. The first year following restoration Marian Meadow had a statistically significant increase in volumetric soil moisture content of 4% with depth to the water table decreasing on average by 0.15 m. The water budget for the meadows demonstrated that the hydrologic change following removal of encroached conifers was primarily due to a reduction of vegetation interception capture. Soil evapotranspiration rates in both the Control and Marian Meadows were relatively stable ranging from 268–288 mm/yr with the exception of the year following conifer removal in Marian Meadow with 318 mm/yr. The increase in soil evapotranspiration in the first post restoration year is attributed to loss of vegetation cover and higher proportions of bare soil created from the harvest operations. The duration of post-restoration water table depths during the growing season at Marian Meadow were less than or equal to 0.7 m and 0.3 m for 85 days and 50 days, respectively, indicating hydrologic conditions conducive to meadow vegetation.

Detecting changes in root zone soil moisture from radar vegetation backscatter

2020 ◽  
Author(s):  
Coleen Carranza ◽  
Tim van Emmerik ◽  
Martine van der Ploeg
Keyword(s):  
Soil Moisture ◽  
Water Content ◽  
Hydrological Cycle ◽  
Root Zone ◽  
Water Status ◽  
Roughness Parameter ◽  
Growing Season ◽  
Irrigation Scheduling ◽  
Vegetation Water Content ◽  
Vegetation Water

<p>Root zone soil moisture (θ<sub>rz</sub>) is a crucial component of the hydrological cycle and provides information for drought monitoring, irrigation scheduling, and carbon cycle modeling. During vegetation conditions, estimation of θ<sub>rz</sub> thru radar has so far only focused on retrieving surface soil moisture using the soil component of the total backscatter (σ<sub>soil</sub>), which is then assimilated into physical hydrological models. The utility of the vegetation component of the total backscatter (σ<sub>veg</sub>) has not been widely explored and is commonly corrected for in most soil moisture retrieval methods. However, σ<sub>veg </sub>provides information about vegetation water content. Furthermore, it has been known in agronomy that pre-dawn leaf water potential is in equilibrium with that of the soil. Therefore soil water status can be inferred by examining  the vegetation water status. In this study, our main goal is to determine whether changes in root zone soil moisture (Δθ<sub>rz</sub>) shows corresponding changes in vegetation backscatter (Δσ<sub>veg</sub>) at pre-dawn. We utilized Sentinel-1 (S1) descending pass and in situ soil moisture measurements from 2016-2018 at two soil moisture networks (Raam and Twente) in the Netherlands. We focused on corn and grass which are the most dominant crops at the sites and considered the depth-averaged θ<sub>rz</sub> up to 40 cm to capture the rooting depths for both crops. Dubois’ model formulation for VV-polarization was applied to estimate the surface roughness parameter (H<sub>rms</sub>) and σ<sub>soil </sub>during vegetated periods. Afterwards, the Water Cloud Model was used to derive σ<sub>veg</sub> by subtracting σ<sub>soil</sub> from S1 backscatter (σ<sub>tot</sub>). To ensure that S1 only measures vegetation water content, rainy days were excluded to remove the influence of intercepted rainfall on the backscatter. The slope of regression lines (β) fitted over plots of Δσ<sub>veg</sub> against Δθ<sub>rz</sub> were used investigate the dynamics over a growing season. Our main result indicates that Δσ<sub>veg </sub>- Δθ<sub>rz</sub> relation is influenced by crop growth stage and changes in water content in the root zone. For corn, changes in β’s over a growing season follow the trend in a crop coefficient (K<sub>c</sub>) curve, which is a measure of crop water requirements. Grasses, which are perennial crops, show trends corresponding to the mature crop stage. The correlation between soil moisture (Δθ) at specific soil depths (5, 10, 20, and 40 cm) and Δσ<sub>veg </sub> matches root growth for corn and known rooting depths for both corn and grass. Dry spells (e.g. July 2018) and a large increase in root zone water content in between two dry-day S1 overpass (e.g. from rainfall) result in a lower β, which indicates that Δσ<sub>veg</sub> does not match well with Δθ<sub>rz</sub>. The influence of vegetation on S1 backscatter is more pronounced for corn, which translated to a clearer Δσ<sub>veg</sub> - Δθ<sub>rz</sub> relation compared to grass. The sensitivity of Δσ<sub>veg</sub> to Δθ<sub>rz</sub> in corn means that the analysis may be applicable to other broad leaf crops or forested areas, with potential applications for monitoring  periods of water stress.</p>

scholarly journals Eco-hydrological effects of stream-aquifer water interaction: A case study of the Heihe River Basin, northwestern China

2016 ◽  
Author(s):  
Yujin Zeng ◽  
Zhenghui Xie ◽  
Yan Yu ◽  
Shuang Liu ◽  
Linying Wang ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Water Level ◽  
River Water ◽  
River Basin ◽  
Water Table ◽  
Riparian Vegetation ◽  
Stream Water ◽  
Growing Season ◽  
Heihe River Basin ◽  
Heihe River

Abstract. A scheme describing the process of stream-aquifer interaction was incorporated into the land model CLM4.5 to investigate the effects of stream water conveyance over riparian banks on ecological and hydrological processes. Two groups of simulations for five typical river cross-sections in the middle reaches of the arid zone Heihe River Basin were conducted. The simulated riparian ground water table at a propagation distance of less than 1 km followed the intra-annual flu ctuation of the river water level, and the correlation was excellent (R2 = 0.9) between the river water level and the groundwater table at the distance 60 m from the river. The correlation rapidly decreased as distance increased. In response to the variability of the water table, soil moisture at deep layers also followed the variation of river water level all year, while soil moisture at the surface layer was more sensitive to the river water level in the drought season than in the wet season. With increased soil moisture, the average gross primary productivity and respiration of riparian vegetation within 300 m from the river at a typical section of the river increased by approximately 0.03 mg C m−2 s−1 and 0.02 mg C m −2 s−1, respectively, in the growing season. Consequently, the net ecosystem exchange increased by approximately 0.01 mg C m−2 s−1, and the evapotranspiration increased by approximately 3 mm d−1. Furthermore, the length of the growing season of riparian vegetation also increased by 2–3 months due to the sustaining water recharge from the river.

scholarly journals Towards Estimating Land Evaporation at Field Scales Using GLEAM

2018 ◽  
Vol 10 (11) ◽  
pp. 1720 ◽  
Author(s):  
Brecht Martens ◽  
Richard de Jeu ◽  
Niko Verhoest ◽  
Hanneke Schuurmans ◽  
Jonne Kleijer ◽  
...  
Keyword(s):  
Water Management ◽  
Soil Moisture ◽  
High Resolution ◽  
The Netherlands ◽  
Weather Conditions ◽  
Irrigation Scheduling ◽  
In Situ Measurements ◽  
Rainfall Interception ◽  
Interception Loss

The evaporation of water from land into the atmosphere is a key component of the hydrological cycle. Accurate estimates of this flux are essential for proper water management and irrigation scheduling. However, continuous and qualitative information on land evaporation is currently not available at the required spatio-temporal scales for agricultural applications and regional-scale water management. Here, we apply the Global Land Evaporation Amsterdam Model (GLEAM) at 100 m spatial resolution and daily time steps to provide estimates of land evaporation over The Netherlands, Flanders, and western Germany for the period 2013–2017. By making extensive use of microwave-based geophysical observations, we are able to provide data under all weather conditions. The soil moisture estimates from GLEAM at high resolution compare well with in situ measurements of surface soil moisture, resulting in a median temporal correlation coefficient of 0.76 across 29 sites. Estimates of terrestrial evaporation are also evaluated using in situ eddy-covariance measurements from five sites, and compared to estimates from the coarse-scale GLEAM v3.2b, land evaporation from the Satellite Application Facility on Land Surface Analysis (LSA-SAF), and reference grass evaporation based on Makkink’s equation. All datasets compare similarly with in situ measurements and differences in the temporal statistics are small, with correlation coefficients against in situ data ranging from 0.65 to 0.95, depending on the site. Evaporation estimates from GLEAM-HR are typically bounded by the high values of the Makkink evaporation and the low values from LSA-SAF. While GLEAM-HR and LSA-SAF show the highest spatial detail, their geographical patterns diverge strongly due to differences in model assumptions, model parameterizations, and forcing data. The separate consideration of rainfall interception loss by tall vegetation in GLEAM-HR is a key cause of this divergence: while LSA-SAF reports maximum annual evaporation volumes in the Green Heart of The Netherlands, an area dominated by shrubs and grasses, GLEAM-HR shows its maximum in the national parks of the Veluwe and Heuvelrug, both densely-forested regions where rainfall interception loss is a dominant process. The pioneering dataset presented here is unique in that it provides observational-based estimates at high resolution under all weather conditions, and represents a viable alternative to traditional visible and infrared models to retrieve evaporation at field scales.

scholarly journals WATER TABLE BEHAVIOR AND SOIL MOISTURE CONTENT DURING THE WINTER

1970 ◽  
Vol 50 (3) ◽  
pp. 361-366 ◽  
Author(s):  
J. C. van SCHAIK ◽  
E. RAPP
Keyword(s):  
Soil Moisture ◽  
Moisture Content ◽  
Water Table ◽  
Soil Moisture Content ◽  
Growing Season ◽  
Grass Cover ◽  
Irrigation Project ◽  
Southern Alberta

Water table recession in an irrigation project in southern Alberta was compared with moisture translocation in covered lysimeters during two winters. Upward translocation to the surface 60 cm during one winter amounted to 1 to 2 cm of water in dry soils having a grass cover, and 2 to 2.3 cm in moist soils with no vegetation. Observations between growing season and freeze-up indicated that a considerable amount of water may drain downward. The upper 30 cm of soil generally is not influenced by upward translocation if the soil is dry before freeze-up.

scholarly journals Rekayasa Sistem Tata Air Lokasi Transmigrasi Palingkau Asri Lahan Usaha Satu SP-2 Di Wilayah Kabupaten Kapuas Propinsi Kalimantan Tengah

2019 ◽  
Vol 8 (1) ◽  
pp. 39-50
Author(s):  
Prihanika Prihanika
Keyword(s):  
Water Management ◽  
Drainage System ◽  
Water System ◽  
Land Development ◽  
Secondary Data ◽  
System Optimization ◽  
Water Management System ◽  
Maximum Value ◽  
Excess Water ◽  
Simple Drainage

Agriculture land in the transmigration location of Palingkau Asri is one of the development locations for tidal land development in Kalimantan. In its development this location has been divided into three settlement areas (SP), one of them is the SP-2. The focus of this research is Lahan Usaha Satu at SP-2. There are already irrigation networks consisting of irrigation channels (a simple drainage system) in the form of primary pilot channels, primary auxiliary channels, and tertiary channels. The main problems of this location include the excess of water that occurs in rainy seasons and a water system that does not function properly. To overcome these problems research was carried out in the following steps. Firstly, primary and secondary data were taken. Secondly, the water system optimization was examined using a mathematical model that was solved by using the HEC-RAS software package. Lastly, the problem of the excess water (floods) was solved by determining a dike height for a period of 25 years and optimizing the water system with water management structures such as watergates. The results indicated that the existing water management system still can handle the excess of water although the tertiary channels were overflowed (channel of T2, T4, T6, T12) especially at T6, where the overflow reached a maximum value of 1.1 m. The simulation with HEC-RAS

scholarly journals Quantitative Estimation of Soil-Ground Water Storage Utilization during the Crop Growing Season in Arid Regions with Shallow Water Table Depth

Water ◽  
2020 ◽  
Vol 12 (12) ◽  
pp. 3351
Author(s):  
Tianxing Zhao ◽  
Yan Zhu ◽  
Jingwei Wu ◽  
Ming Ye ◽  
Wei Mao ◽  
...  
Keyword(s):  
Soil Moisture ◽  
Ground Water ◽  
Shallow Water ◽  
Water Table ◽  
Soil Moisture Content ◽  
Water Storage ◽  
Growing Season ◽  
Water Table Depth ◽  
Arid Areas ◽  
Shallow Water Table

Water storage in unsaturated and saturated zones during the crop non-growing season is one of the important supplementary water resources to meet crop water requirements in arid areas with shallow water table depth. It is necessary to analyze utilization of the soil-ground water storage during the crop growing season and its attribution to irrigation during the non-growing season. To facilitate the analysis, a new method based on measurements of soil moisture content and water table depth is developed. The measurements used in this study include (1) 15-year data of soil moisture content within a depth of 1 m from the land surface and water table depth measured in Jiefangzha, including its four subareas and (2) 4-year data of the same kind in Yonglian, located in arid northern China. The soil-ground water storage utilization is calculated as the difference of water storage between the beginning and end of the crop growing season in the whole computational soil profile. The results of average soil-ground water storage utilization in Jiefangzha and its four subareas and Yonglian are 121 mm, 126 mm, 113 mm, 124 mm, 185 mm and 117 mm, and the corresponding average utilization efficiencies in the non-growing season are 32.2%, 32.5%, 31.5%, 31.6%, 57.3% and 47.6%, respectively. Further, the water table fluctuation method was used to estimate the variation in water storage. The coefficients of soil-ground water storage utilization, soil-ground water storage utilization below 1 m soil depth and ground water utilization are defined, and their average values are 0.271, 0.111 and 0.026 in Jiefangzha, respectively. Then, the contribution of soil-ground water storage utilization to actual evapotranspiration is evaluated, which are over 23.5% in Jiefangzha and Yonglian. These results indicate that the soil-ground water storage plays an important role in the ecological environment in arid areas with shallow water table depth.

scholarly journals Effect of Planting Configuration, Spring Cover Crop, and Reservoir Tillage on Onion

HortScience ◽  
2004 ◽  
Vol 39 (4) ◽  
pp. 853A-853
Author(s):  
Harlene Hatterman-Valenti* ◽  
Paul Hendrickson
Keyword(s):  
Soil Moisture ◽  
Cover Crop ◽  
Wind Erosion ◽  
Sandy Loam ◽  
Total Yield ◽  
Growing Season ◽  
Field Trials ◽  
Clay Loam ◽  
Raised Bed ◽  
Erosion Protection

Field trials were initiated near Carrington and Absaraka, N.D., on a Heimdal clay loam and a Spottswood sandy loam, respectively to evaluate onion grade and yield in response to planting configuration, spring cover crop, and reservoir tillage. Results from the Carrington and Absaraka locations during 2002 and 2003 showed that colossal-sized onion was the largest grading size obtained (Carrington, 2003) and that the greatest number of colossal onion were from the bed configuration that had a reservoir tillage treatment. The coarser soil texture at Absaraka allowed for spring and fall formed raised bed comparison (2003) in which the fall formed raised bed tended to have greater yields and more marketable onion. Planting configuration resulting in the greatest total yield varied among locations and years but generally increased with reservoir tillage. Soil moisture and temperature monitoring during the early growing season did not differ greatly. However, differences in soil water potentials at the 6“ depth were observed during the last part of the growing season. Cover crop results indicated that a row of canola planted between onion rows for wind erosion protection will reduce onion yields even when ample water is available through routine irrigation. Herbicides for broadleaf control were not applied until onion had two true-leaves due to label restrictions. This delay enabled the canola to grow beyond the recommended stage for broadleaf control and to quickly outgrow the herbicide injury.

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