Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations

Nishat, Shazia; Guo, Yiping; Baetz, Brian W.

doi:10.1016/j.agwat.2007.04.012

Cited by 29 publications

(31 citation statements)

References 38 publications

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“…Equation (1) is solved numerically by using the backward finite difference method. Detailed description of the continuous simulation model is provided in Nishat et al (2007).…”

Section: The Modelmentioning

confidence: 99%

“…SR is estimated using the US National Resources Conservation Services (NRCS) curve number technique. This SR component was modified from that of Nishat et al (2007) to better represent urban land-use. Very heavy precipitation events were given special attention.…”

Section: The Modelmentioning

confidence: 99%

“…The model simulates soil moisture at a point, and the output of the model can be viewed as area/site-averaged values as the inputs are all area/site-averaged values. The model was validated and its performance was evaluated with observed field data (Nishat et al, 2007):…”

Section: The Modelmentioning

confidence: 99%

“…The water balance model developed by Nishat et al (2007) was used to simulate soil moisture in the root zone throughout the growing season (May to October). The soil water balance model, schematically represented by Equation (1), is one-dimensional, taking into account only the hydrological processes that operate in the vertical direction.…”

Section: The Modelmentioning

confidence: 99%

“…As mentioned in various studies, long-term soil moisture data is not readily available (Nishat et al, 2007;Hirabayashi et al, 2005;Maurer et al, 2002;Entin et al, 1999;Wang and Kumar, 1998). Only in recent years a few soil moisture databases have been established.…”

Section: Introductionmentioning

confidence: 99%

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Climate Change and Urban Grass Land Soil Moisture Conditions in South-Western Ontario, Canada

Nishat

Guo²,

Baetz³

2008

J ENV INFORM

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ABSTRACT. Using the past 45 years of climate data in south-western Ontario, Canada and a deterministic continuous simulation model, this study investigates the long-term variability in rain-fed soil moisture in urban areas as influenced by climate change. Statistical analyses of four variables, i.e., soil moisture, precipitation, temperature and evapotranspiration were carried out. As found from other studies for other locations, these analyses confirm increasing temperatures and average growing season precipitation in south-western Ontario. Results show that both overall soil moisture and evapotranspiration have increased throughout the 45-year period. The probability/frequency distributions of soil moisture were obtained and the analysis shows an increasing average growing season soil moisture availability from the 1960's to the 1990's. The direct influence of precipitation and temperature on soil moisture and evapotranspiration were examined, revealing a stronger relationship of soil moisture and evapotranspiration with precipitation rather than temperature. Overall increasing average growing season soil moistures have very likely resulted from overall increasing rainfall during the growing seasons in south-western Ontario.

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“…Equation (1) is solved numerically by using the backward finite difference method. Detailed description of the continuous simulation model is provided in Nishat et al (2007).…”

Section: The Modelmentioning

confidence: 99%

Section: The Modelmentioning

confidence: 99%

Section: The Modelmentioning

confidence: 99%

Section: The Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Climate Change and Urban Grass Land Soil Moisture Conditions in South-Western Ontario, Canada

Nishat

Guo²,

Baetz³

2008

J ENV INFORM

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Soil moisture influenced the variability of air temperature and oasis effect in a large inland basin of an arid region

Hao

Zhang

2021

Hydrological Processes

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Soil moisture plays a significant role in land‐atmosphere interactions. Changing fractions of latent and sensible heat fluxes caused by soil moisture variations can affect near‐surface air temperature, thus influencing the oasis's cooling effect in arid regions. In this study, the framework for the evaporative fraction (EF) dependence on soil moisture is used to analyse the impacts of soil moisture variation on near‐surface air temperature and the oasis effect. The result showed that soil moisture's contribution rate to EF was significantly higher than that of EF to temperature. Under the interaction of temperature sensitivity to EF and EF to soil moisture, the ∂T/∂ϴ presented a similar tempo‐spatial variation with both of the above. It was most significant in oasis areas during summer (−1.676), while it was weaker in plain desert areas during the autumn (−0.071). In the study region, the effect of soil moisture variation on air temperature can reach 0.018–0.242 K for different land‐cover types in summer. The maximum variation of soil moisture in summer can alter air temperature by up to 0.386 K. The difference in temperature variability between the oasis and desert areas promoted the formation of the oasis effect. For different oasis, the multi‐year average oasis cold effect index (OCI) ranged from −1.36 to −0.26 K. In comparison, the average summer OCI ranged from −1.38 to −0.29 K. The lower bound of the cooling effect of oasis ranged from −4.97 to −1.69 K. The analysis framework and results of this study will provide a new perspective for further research on the evolution process of the oasis effect and water–heat balance in arid areas.

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Antecedent soil moisture conditions of different soil types in South‐western Ontario, Canada

Nishat

Guo

Baetz

2010

Hydrological Processes

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Abstract:Soil moisture conditions prior to input design storms need to be known in the planning and design of urban stormwater control facilities using the design storm approach. Limited information is available on these soil moisture conditions which are commonly referred to as the antecedent soil moisture conditions. In this study, a deterministic continuous simulation model was used to simulate antecedent soil moisture conditions under south-western Ontario, Canada, climate conditions. A wide range of different soil types were investigated and various statistical analyses on the simulated antecedent soil moisture results were performed. Frequency analyses illustrated typical distributions of antecedent soil moisture conditions and the influence of finer and coarser textured soil particles. Empirical equations were developed for the estimation of average antecedent soil moisture conditions based on commonly known soil characteristics. Satisfactory performance of the empirical equations was demonstrated by comparing between field average antecedent soil moisture data and empirically estimated average antecedent soil moisture values. These equations are therefore recommended for use in urban stormwater studies incorporating the design storm approach.

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Development of a simplified continuous simulation model for investigating long-term soil moisture fluctuations

Cited by 29 publications

References 38 publications

Climate Change and Urban Grass Land Soil Moisture Conditions in South-Western Ontario, Canada

Climate Change and Urban Grass Land Soil Moisture Conditions in South-Western Ontario, Canada

Soil moisture influenced the variability of air temperature and oasis effect in a large inland basin of an arid region

Antecedent soil moisture conditions of different soil types in South‐western Ontario, Canada

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