Simulation of soil water content on a small reclaimed watershed in northern Alberta using the Root Zone Water Quality Model (RZQWM)

Mapfumo, E.; Chanasyk, D. S.; Chaikowsky, Crystal L.A.

doi:10.4141/s05-056

Cited by 6 publications

(4 citation statements)

References 19 publications

(21 reference statements)

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“…In general, the simulation of HYDRUS-2D software is well-matched with measurements, both in soil water content and root length density. RMSE and EF results for soil water content in the present study are in line with results from other studies where models were also used to simulate the water movement in soil (D'haeze et al, 2003;Homaee et al, 2002;Karandish and Shahnazari, 2016;Mapfumo et al, 2006;Mohanty et al, 2012;Ursulino et al, 2019)). Variations of soil water content between observed and simulated data are normal before irrigation due to a severe drop in moisture.…”

Section: Hydrus Validationsupporting

confidence: 91%

New strategies to overcome water limitation in cultivated maize: Results from sub-surface irrigation and silicon fertilization

Besharat

Barão

Cruz

2020

Journal of Environmental Management

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The increasing growth of the world's population has established an unprecedented pressure in the availability of fresh water resources, with food production systems consuming over 70% of the world's fresh water withdrawals.Other pressures include climate change effects and the increasing number of semi-arid regions. The present challenges are therefore the maintenance of high production rates with fewer resources, especially in regions where water is becoming less accessible. In this study, we have tested the effect of sub-surface irrigation and silicon fertilization in maize growth with and without water limitation. These solutions have been suggested as effective in drought conditions but an overall study of their effects on the soil water balance and root length density is lacking. We have conducted a pot experiment with maize for 101 days where measurements in soil water content and root length were taken. Also, Hydrus 2-D was used to simulate the root water uptake and calculate the water balance. Results show that both sub-surface irrigation and silicon fertilization increase the root system by 21% and 34% respectively in water stress situation. Also, in the case of no water stress, silicon fertilization still induces an increase of 11% in the root development, showing that this solution has positive effects even when the crop is not hydrologically limited. Indeed the root water uptake was higher for the silicon treatment when no water limitation was present (71.6 L), compared to the sub-surface irrigation (62.5 L) and the control (62.3 L). While sub-surface irrigation generally decreased evaporation, the silicon treatment lowered drainage by promoting a better and more efficient root water uptake.

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Section: Hydrus Validationsupporting

confidence: 91%

New strategies to overcome water limitation in cultivated maize: Results from sub-surface irrigation and silicon fertilization

Besharat

Barão

Cruz

2020

Journal of Environmental Management

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“…Finally, all the other frameworks are accessible through download or as software products, and this involves a higher level of difficulty for users without a technical background (Table 2). However, these frameworks are still simpler and require fewer input data than other more sophisticated models which are available, such as SWAT (Soil and Water Assessment Tool) [46], RZWQM (Root Zone Water Quality Model) [47], and MohidLand [48].…”

Section: Type Of Productmentioning

confidence: 99%

Identifying and Comparing Easily Accessible Frameworks for Assessing Soil Organic Matter Functioning

2022

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Soil organic matter (SOM) stocks are crucial for soil fertility and food provision and also contribute to climate change adaptation and mitigation. However, assessing SOM changes in cropping systems is difficult due to the varying quantity and quality of input data. SOM processes have been described by several models, but these are complex and require high amounts of input data. In this work, we identified and selected frameworks that simulate SOM pools and stocks as well as the effects of different management practices. We also required that the frameworks be easily accessible for farm-related end users and require limited and accessible amounts of input data. In all, six frameworks met our inclusion criteria: SOCRATES (Soil Organic Carbon Reserves and Transformations in EcoSystems), CCB (CANDY and-Carbon Balance), AMG, CENTURY, CQESTR, and RothC (Rothamsted Carbon Model). We collected information on these frameworks and compared them in terms of their accessibility, the model time steps used, the nutrient cycles included in the simulation, the number of SOM pools, and the agricultural management options included. Our results showed that CCB was the most robust of the frameworks considered, while AMG, CQESTR, and RothC performed the least well. However, all frameworks have strengths which may match the specific requirements and abilities of individual users.

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“…The HELP model was confined to simple soil covers with only grass as the vegetation type (Berger, 2000). Later, Mapfumo et al (2006) used root zone water quality model (RZWQM) to simulate the volumetric soil water content of the reconstructed slopes of the South West Sand Storage (SWSS) in northern Alberta. However, RZWQM tends to overestimate the saturated hydraulic conductivity and accordingly underestimates the surface soil moisture contents, especially in wet conditions.…”

Section: Introductionmentioning

confidence: 99%

Impacts of climate change on soil moisture and evapotranspiration in reconstructed watersheds in northern Alberta, Canada

Keshta

Elshorbagy

Carey

2011

Hydrological Processes

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Abstract:This study aims at developing a generalized understanding of the sensitivity of soil moisture patterns in reconstructed watersheds, in northern Alberta, to changes in the projected precipitation in the twenty-first century. The GSDW model is applied to three watersheds using climate scenarios generated using daily precipitation and air temperature output from a global climate model (CGCM3), under A2 and B1 emission scenarios, to simulate the corresponding soil moisture. CGCM3 results indicate an increase in the mean annual temperature for Fort McMurray, Alberta of 3Ð3 (A2) and 2Ð4°C (B1), and an increase in the predicted annual precipitation of 34% (A2) and 8Ð6% with A2 and B1 emission scenarios, respectively. The GSDW model is used, along with onsite historical data, to downscale A2 and B1 emission scenarios and to evaluate the future hydrological performance of the designated watersheds with respect to soil moisture deficit and actual evapotranspiration using a probabilistic framework. The forecasted maximum soil moisture deficit values based on A2 and B1 emission scenarios are expected to decrease compared to those based on the current, largely because of the expected increase in precipitation rates, associated with an expected increase in evapotranspiration.

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Simulation of soil water content on a small reclaimed watershed in northern Alberta using the Root Zone Water Quality Model (RZQWM)

Cited by 6 publications

References 19 publications

New strategies to overcome water limitation in cultivated maize: Results from sub-surface irrigation and silicon fertilization

New strategies to overcome water limitation in cultivated maize: Results from sub-surface irrigation and silicon fertilization

Identifying and Comparing Easily Accessible Frameworks for Assessing Soil Organic Matter Functioning

Impacts of climate change on soil moisture and evapotranspiration in reconstructed watersheds in northern Alberta, Canada

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