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1

Šťastná, M., and E. Stenitzer. "SIMWASER model as a tool for the assessment of soil water balance." Plant, Soil and Environment 51, No. 8 (2011): 343–50. http://dx.doi.org/10.17221/3609-pse.

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The objectives of our study were to apply, test and to present the ability of the deterministic simulation model SIMWASER computing soil-water balance components. Two case studies for the assessment of percolation losses from irrigated carrots to deep groundwater at Obersiebenbrunn in the Marchfeld (Austria) and ground water recharge and capillary rise from shallow groundwater in grass lysimeters at Berlin-Dahlem (Germany) are presented to demonstrate the performance of the model by a comparison between measured and simulated results from the field experiments. At Obersiebenbrunn, simulated pe
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2

Kolars, Kelsey, Xinhua Jia, Dean D. Steele, and Thomas F. Scherer. "A Soil Water Balance Model for Subsurface Water Management." Applied Engineering in Agriculture 35, no. 4 (2019): 633–46. http://dx.doi.org/10.13031/aea.13038.

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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
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3

Ragab, R., F. Beese, and W. Ehlers. "A Soil Water Balance and Dry Matter Production Model: I. Soil Water Balance of Oat." Agronomy Journal 82, no. 1 (1990): 152–56. http://dx.doi.org/10.2134/agronj1990.00021962008200010033x.

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4

Danielescu, Serban. "Development and Application of the Snow, Soil Water and Water Balance Model, an Online Model for Daily Estimation of Snowpack Processes, Soil Water Content and Soil Water Balance." Water 16, no. 11 (2024): 1503. http://dx.doi.org/10.3390/w16111503.

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SNOSWAB (Snow, Soil Water and Water Balance) is a unique online deterministic model built using tipping-bucket approaches that allows for the daily estimation of (i) snowpack processes; (ii) soil water content; and (iii) soil water budget. SNOSWAB is most suitable for modeling field-scale processes for vertically and horizontally homogeneous soils, and its applicability is not limited to specific climate zones or geographical areas. The model is freely available, and its streamlined online interface integrates powerful calibration, visualization and data export routines. In this study, SNOSWAB
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5

Bircham, J. S., and A. G. Gillingham. "A soil water balance model for sloping land." New Zealand Journal of Agricultural Research 29, no. 2 (1986): 315–23. http://dx.doi.org/10.1080/00288233.1986.10426988.

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6

Rao, N. H. "Grouping water storage properties of Indian soils for soil water balance model applications." Agricultural Water Management 36, no. 2 (1998): 99–109. http://dx.doi.org/10.1016/s0378-3774(98)00031-6.

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7

Kochendorfer, J. P., and J. A. Ramírez. "Modeling the monthly mean soil-water balance with a statistical-dynamical ecohydrology model as coupled to a two-component canopy model." Hydrology and Earth System Sciences Discussions 5, no. 2 (2008): 579–648. http://dx.doi.org/10.5194/hessd-5-579-2008.

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Abstract. The statistical-dynamical annual water balance model of Eagleson (1978) is a pioneering work in the analysis of climate, soil and vegetation interactions. This paper describes several enhancements and modifications to the model that improve its physical realism at the expense of its mathematical elegance and analytical tractability. In particular, the analytical solutions for the root zone fluxes are re-derived using separate potential rates of transpiration and bare-soil evaporation. Those potential rates, along with the rate of evaporation from canopy interception, are calculated u
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8

Kochendorfer, J. P., and J. A. Ramírez. "Modeling the monthly mean soil-water balance with a statistical-dynamical ecohydrology model as coupled to a two-component canopy model." Hydrology and Earth System Sciences 14, no. 10 (2010): 2099–120. http://dx.doi.org/10.5194/hess-14-2099-2010.

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Abstract. The statistical-dynamical annual water balance model of Eagleson (1978) is a pioneering work in the analysis of climate, soil and vegetation interactions. This paper describes several enhancements and modifications to the model that improve its physical realism at the expense of its mathematical elegance and analytical tractability. In particular, the analytical solutions for the root zone fluxes are re-derived using separate potential rates of transpiration and bare-soil evaporation. Those potential rates, along with the rate of evaporation from canopy interception, are calculated u
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9

Cresswell, HP, DE Smiles, and J. Williams. "Soil structure, soil hydraulic properties and the soil water balance." Soil Research 30, no. 3 (1992): 265. http://dx.doi.org/10.1071/sr9920265.

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We review the influence of soil structural change on the fundamental soil hydraulic properties (unsaturated hydraulic conductivity and the soil moisture characteristic) and utilize deterministic modelling to assess subsequent effects on the soil water balance. Soil structure is reflected in the 0 to -100 kPa matric potential section of the soil moisture characteristic with marked changes often occurring in light to medium textured soils' (sands, sandy-loam, loams and clay-loams). The effect of long-term tillage on soil structure may decrease hydraulic conductivity within this matric potential
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10

Jelenka, S.S. "Model for ecosystem water circulation." Global Journal of Research in Agriculture & Life Sciences 3, no. 5 (2023): 26–32. https://doi.org/10.5281/zenodo.10010671.

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In this paper water balance in ecosystem was studied. A number of models for plant environment interactions for the utilization of water by plant, have been developed. Soil water balance, precipitation and interception, Horton overland flow and deep drainage were examined. The equations of ecosystem water circulation were derived. Environments are highly complex systems whose evolution is determined by complicated networks of positive and negative feedback loops.  
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11

Jovanovic, N. Z., J. G. Annandale, and P. S. Hammes. "Teaching Crop Physiology with the Soil Water Balance Model." Journal of Natural Resources and Life Sciences Education 29, no. 1 (2000): 23–30. http://dx.doi.org/10.2134/jnrlse.2000.0023.

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12

Panigrahi, B., and Sudhindra N. Panda. "Field test of a soil water balance simulation model." Agricultural Water Management 58, no. 3 (2003): 223–40. http://dx.doi.org/10.1016/s0378-3774(02)00082-3.

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13

Yeh, Hsin-Fu, and Cheng-Haw Lee. "Soil water balance model for precipitation-induced shallow landslides." Environmental Earth Sciences 70, no. 6 (2013): 2691–701. http://dx.doi.org/10.1007/s12665-013-2326-y.

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14

Kim, Soo-Jin, Seung-Jong Bae, and Min-Won Jang. "Spatiotemporal Assessment of Agricultural Drought Using a Cell-Based Daily Soil Water Analysis Model." Water 12, no. 11 (2020): 3118. http://dx.doi.org/10.3390/w12113118.

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This study developed a cell-based daily soil water analysis model (CellSW) for evaluating agricultural drought and calculated an agricultural drought index called the “Rainfall Effectiveness Index for Crop” (REIC). The model analyzed a daily soil water balance based on crop types, growth stages, soils, and climate. It adopted the rasterized daily rainfall, daily evapotranspiration, crop coefficient (by crop growth stage), and root depth as input parameters; it also consecutively generated the daily surface layers of the water balance items in each cell, such as the consumptive use, effective r
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15

Connolly, R. D., M. Bell, N. Huth, D. M. Freebairn, and G. Thomas. "Simulating infiltration and the water balance in cropping systems with APSIM-SWIM." Soil Research 40, no. 2 (2002): 221. http://dx.doi.org/10.1071/sr01007.

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We test APSIM-SWIM's ability to simulate infiltration and interactions between the soil water balance and grain crop growth using soil hydraulic properties derived from independent, point measurements. APSIMSWIM is a continuous soil-crop model that simulates infiltration, surface crusting, and soil condition in more detail than most other soil-crop models. Runoff, soil water, and crop growth information measured at sites in southern Queensland was used to test the model. Parameter values were derived directly from soil hydraulic properties measured using rainfall simulators, disc permeameters
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16

Lebon, Eric, Vincent Dumas, Philippe Pieri, and Hans R. Schultz. "Modelling the seasonal dynamics of the soil water balance of vineyards." Functional Plant Biology 30, no. 6 (2003): 699. http://dx.doi.org/10.1071/fp02222.

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A geometrical canopy model describing radiation absorption (Riou et al. 1989, Agronomie 9, 441–450) and partitioning between grapevines (Vitis vinifera L.) and soil was coupled to a soil water balance routine describing a bilinear change in relative transpiration rate as a function of the fraction of soil transpirable water (FTSW). The model was amended to account for changes in soil evaporation after precipitation events and subsequent dry-down of the top soil layer. It was tested on two experimental vineyards in the Alsace region, France, varying in soil type, water-holding capacity and root
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17

Méllo Júnior, Arisvaldo Vieira, Lina Maria Osorio Olivos, Camila Billerbeck, et al. "Rainfall Runoff Balance Enhanced Model Applied to Tropical Hydrology." Water 14, no. 12 (2022): 1958. http://dx.doi.org/10.3390/w14121958.

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The integrative and comprehensive analysis considering the spatial and temporal representation of the hydrological process, such as the distribution of rainfall, land cover and land use, is a challenge for the water resources management. In tropical areas, energy availability throughout the year defines the rainfall distribution and evapotranspiration rate according to vegetation heterogeneity. To quantify water balance in tropical areas including these heterogeneities in the soil-vegetation-atmosphere relationship, we developed a fully distributed hydrological model called the Rainfall Runoff
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18

Taheri, Mercedeh, Milad Shamsi Anboohi, Mohsen Nasseri, Mostafa Bigdeli, and Abdolmajid Mohammadian. "Quantifying a Reliable Framework to Estimate Hydro-Climatic Conditions via a Three-Way Interaction between Land Surface Temperature, Evapotranspiration, Soil Moisture." Atmosphere 13, no. 11 (2022): 1916. http://dx.doi.org/10.3390/atmos13111916.

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Distributed hydrological models can be suitable choices for predicting the spatial distribution of water and energy fluxes if the conceptual relationships between the components are defined appropriately. Therefore, an innovative approach has been developed using a simultaneous formulation of bulk heat transfer theory, energy budgeting, and water balance as an integrated hydrological model, i.e., the Monthly Continuous Semi-Distributed Energy Water Balance (MCSD-EWB) model, to estimate land surface hydrological components. The connection between water and energy balances is established by evap
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19

Feng, Xue, Amilcare Porporato, and Ignacio Rodriguez-Iturbe. "Stochastic soil water balance under seasonal climates." Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences 471, no. 2174 (2015): 20140623. http://dx.doi.org/10.1098/rspa.2014.0623.

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The analysis of soil water partitioning in seasonally dry climates necessarily requires careful consideration of the periodic climatic forcing at the intra-annual timescale in addition to daily scale variabilities. Here, we introduce three new extensions to a stochastic soil moisture model which yields seasonal evolution of soil moisture and relevant hydrological fluxes. These approximations allow seasonal climatic forcings (e.g. rainfall and potential evapotranspiration) to be fully resolved, extending the analysis of soil water partitioning to account explicitly for the seasonal amplitude an
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20

Wegehenkel, Martin. "Validation of a soil water balance model using soil water content and pressure head data." Hydrological Processes 19, no. 6 (2005): 1139–64. http://dx.doi.org/10.1002/hyp.5557.

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21

Owens, J. S., D. M. Silburn, G. M. McKeon, C. Carroll, J. Willcocks, and R. deVoil. "Cover-runoff equations to improve simulation of runoff in pasture growth models." Soil Research 41, no. 8 (2003): 1467. http://dx.doi.org/10.1071/sr03047.

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An Australian native pasture growth–water balance model (GRASP) was modified to include the USDA curve number runoff method from PERFECT, with the aim of providing a more general model than the regionally derived Scanlan runoff approach used previously and to improve runoff and water balance prediction. The modified model was calibrated against measured runoff and soil water data for a range of pasture treatments in Central Queensland. Optimised curve numbers were related to cover; curve number reduced from 97 for bare conditions to a minimum of 57 for 53% cover, with no difference between soi
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22

ARORA, V. K., CHARANJIT SINGH, and KULDEEP SINGH. "Comparative assessment of soil water balance under wheat in a subtropical environment with simplified models." Journal of Agricultural Science 128, no. 4 (1997): 461–68. http://dx.doi.org/10.1017/s0021859697004358.

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Water balance components under wheat were assessed by employing two simple models, differing in their structure and data requirements, namely the soil-plant–atmosphere–water (SPAW) model of Saxton (1989) and the water balance model (WBM) of Arora et al. (1987). A few modifications based on the SPAW model procedure for the estimation of green canopy were used in a modified WBM and its performance was also tested. Soil water loss (the sum of interception evaporation, soil evaporation, plant transpiration and deep drainage) from sowing to harvest, simulated with the WBM, modified WBM and the SPAW
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23

Quevedo, D. I., and F. Francés. "A conceptual dynamic vegetation-soil model for arid and semiarid zones." Hydrology and Earth System Sciences Discussions 4, no. 5 (2007): 3469–99. http://dx.doi.org/10.5194/hessd-4-3469-2007.

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Abstract. Plant ecosystems in arid and semiarid zones show high complexity from the point of view of water resources, since they depend on water availability to carry out their vital processes. In these climates, water stress is the main factor controlling vegetation development. The available water in the system results from a water balance where the soil, vegetation and the atmosphere are the key issues; but it is the vegetation which modulates (to a great extent) the total balance of water and the mechanisms of the feedback between soil and atmosphere, being the knowledge about soil moistur
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24

Chopart, J. L., and M. Vauclin. "Water Balance Estimation Model: Field Test and Sensitivity Analysis." Soil Science Society of America Journal 54, no. 5 (1990): 1377–84. http://dx.doi.org/10.2136/sssaj1990.03615995005400050029x.

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25

Ross, PJ, J. Williams, and RL Mccown. "Soil temperature and the energy balance of vegetative mulch in the semi-arid tropics. II. Dynamic analysis of the total energy balance." Soil Research 23, no. 4 (1985): 515. http://dx.doi.org/10.1071/sr9850515.

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Soil temperatures and water losses under killed vegetative mulch canopies are examined in the context of no-tillage crop production, using a numerical dynamic model of the soil, canopy and lower atmosphere. Both liquid and vapour movement in the soil are included, as are free and forced convection in the canopy. The predictions of the model for a clay loam soil are as follows. Medium and heavy mulches reduce the water loss over six days by 1.4 and 2.7 mm respectively, the reduction occurring while the soil surface is wet. This small effect is important in giving seedlings an extra 2 or 3 days
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26

Saraiva, Kleiton Rocha, Francisco Marcus Lima Bezerra, Francisco de Souza, et al. "Validation of the ISAREG model for the irrigation management of the melon crop in the state of Ceará." International Journal for Innovation Education and Research 9, no. 10 (2021): 119–30. http://dx.doi.org/10.31686/ijier.vol9.iss10.3420.

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The research aimed to validate the ISAREG model, introducing it to water management studies in irrigation in the State of Ceará, comparing results of experimental research, with results of simulations, carried out with the use of software, analyzing the following variables: crop evapotranspiration, variation of soil water storage and water flow in the soil. A bibliographic survey was carried out to obtain soil, climate and crop information required by the model to perform the soil water balance. Aiming at the validation of ISAREG, the model was fed with the following data: reference evapotrans
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27

Sopharat, Jessada, Sayan Sdoodee, Charlchai Tanavud, Frederic Gay, and Philippe Thaler. "A Simple Water Balance Model of Rubber Tree Plantations under Different Evaporative Demand Regimes." Advanced Materials Research 844 (November 2013): 20–23. http://dx.doi.org/10.4028/www.scientific.net/amr.844.20.

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Drought constraints and transpiration of rubber (Hevea brasiliensis) plantations under different evaporative demand regimes were assessed by the simple water balance model. A lump water model, BILJOU (BILan hydrique JOUrnalier), is the daily water balance model. This model requires daily potential evapotranspiration (ETo) and rainfall as input climatic data, also requires site and stand parameters are maximum extractable soil water and leaf area index (LAI). The study was carried out two sites; namely Songkhla and Chachoengsao province, Thailand, traditional and new plantation area, respective
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28

Quevedo, D. I., and F. Francés. "A conceptual dynamic vegetation-soil model for arid and semiarid zones." Hydrology and Earth System Sciences 12, no. 5 (2008): 1175–87. http://dx.doi.org/10.5194/hess-12-1175-2008.

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Abstract. Plant ecosystems in arid and semiarid climates show high complexity, since they depend on water availability to carry out their vital processes. In these climates, water stress is the main factor controlling vegetation development and its dynamic evolution. The available water-soil content results from the water balance in the system, where the key issues are the soil, the vegetation and the atmosphere. However, it is the vegetation, which modulates, to a great extent, the water fluxes and the feedback mechanisms between soil and atmosphere. Thus, soil moisture content is most releva
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29

WANG, Cong, Shuai WANG, Bojie FU, Lu ZHANG, Nan LU, and Lei JIAO. "Stochastic soil moisture dynamic modelling: a case study in the Loess Plateau, China." Earth and Environmental Science Transactions of the Royal Society of Edinburgh 109, no. 3-4 (2018): 437–44. http://dx.doi.org/10.1017/s1755691018000658.

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ABSTRACTSoil moisture is a key factor in the ecohydrological cycle in water-limited ecosystems, and it integrates the effects of climate, soil, and vegetation. The water balance and the hydrological cycle are significantly important for vegetation restoration in water-limited regions, and these dynamics are still poorly understood. In this study, the soil moisture and water balance were modelled with the stochastic soil water balance model in the Loess Plateau, China. This model was verified by monitoring soil moisture data of black locust plantations in the Yangjuangou catchment in the Loess
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30

Filipović, Vilim, Jasmina Defterdarović, Vedran Krevh, et al. "Estimation of Stagnosol Hydraulic Properties and Water Flow Using Uni- and Bimodal Porosity Models in Erosion-Affected Hillslope Vineyard Soils." Agronomy 12, no. 1 (2021): 33. http://dx.doi.org/10.3390/agronomy12010033.

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Erosion has been reported as one of the top degradation processes that negatively affect agricultural soils. The study objective was to identify hydropedological factors controlling soil water dynamics in erosion-affected hillslope vineyard soils. The hydropedological study was conducted at identically-managed Jastrebarsko (location I), and Jazbina (II) and (III) sites with Stagnosol soils. Soil Hydraulic Properties (SHP) were estimated on intact soil cores using Evaporation and WP4C methods; soil hydraulic functions were fitted using HYPROP-FIT software. For Apg and Bg/Btg horizons, uni- and
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31

T. M. Younos, V. O. Shanholtz, C. Desai, and S. J. Thomson. "Technical Notes: GIS Linkage for a Soil Water Balance Model." Applied Engineering in Agriculture 11, no. 1 (1995): 107–9. http://dx.doi.org/10.13031/2013.25723.

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32

Vogel, Tomas, Michal Dohnal, Jana Votrubova, and Jaromir Dusek. "Soil water freezing model with non-iterative energy balance accounting." Journal of Hydrology 578 (November 2019): 124071. http://dx.doi.org/10.1016/j.jhydrol.2019.124071.

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33

Alam, Md Jobair Bin, Asif Ahmed, Md Aminul Islam, Naima Rahman, and Md Sahadat Hossain. "Field monitoring and model predicted water balance of monolithic cover." MATEC Web of Conferences 337 (2021): 04009. http://dx.doi.org/10.1051/matecconf/202133704009.

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The use of the evapotranspiration cover for landfill is increasing because of its long-term enhanced performance. However, the performance of evapotranspiration cover primarily depends on the onsite geo-climatic conditions. Therefore, field verification of cover performance through constructed test plots is required before actual implementation. Additionally, numerical modeling and comparison with field results are necessary for future performance prediction. The objective of this study was to simulate the water balance hydrology of evapotranspiration cover using the code SEEP/W. Drainage lysi
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34

BÄRLUND, I., S. TATTARI, and M. PUUSTINEN. "Soil parameter variability affecting simulated fieldscale water balance, erosion and phosphorus losses." Agricultural and Food Science 18, no. 3-4 (2009): 402–16. http://dx.doi.org/10.23986/afsci.5949.

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Field-scale modelling is widely used as a means to look into interdependencies of processes and to assess potential effects of agricultural management practices as well as of climate and socio-economic scenarios. Generalisation from field-scale results to cover all agricultural land in a catchment by using typical soilcrop- slope combinations has been restricted by a lack of information for the systematic parameterisation of soils. Data from single experimental fields are seldom representative for the whole respective catchment. In this study typical soil profiles for mineral agricultural soil
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35

Zeng, Lifeng, and Longtan Shao. "Generalized Terzaghi’s Effective Stress Equation for Unsaturated Soil: An Independent Phase Balance Approach That Considers a Pore Water Content Gradient." Geofluids 2022 (January 25, 2022): 1–18. http://dx.doi.org/10.1155/2022/3971247.

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The effective stress equation for unsaturated soil is the most important equation in unsaturated soil mechanics. It has been derived by many scholars using different methods. However, none of them considered the gradient of the pore water content, which results in unreasonable force balance equations for different constituent phases in unsaturated soil. To introduce the gradient, we propose an extended three-phase physical model that includes capillary water, air, and generalized soil skeletons. Based on this model, three balance equations for these three constituent phases are separately form
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36

Corbari, Chiara, Drazen Skokovic Jovanovic, Luigi Nardella, Josè Sobrino, and Marco Mancini. "Evapotranspiration Estimates at High Spatial and Temporal Resolutions from an Energy–Water Balance Model and Satellite Data in the Capitanata Irrigation Consortium." Remote Sensing 12, no. 24 (2020): 4083. http://dx.doi.org/10.3390/rs12244083.

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The feasibility of combining remotely sensed land surface temperature data (LST) and an energy–water balance model for improving evapotranspiration estimates over time distributed in space in the Capitanata irrigation consortium is analysed. The energy–water balance FEST-EWB model (flash flood event-based spatially distributed rainfall–runoff transformation—energy–water balance model) computes continuously in time and is distributed in space soil moisture (SM) and evapotranspiration (ET) fluxes solving for a land surface temperature that closes the energy–water balance equations. The compariso
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37

Zhu, Liming, Zhangze Gu, Guizhi Tian, and Jiahao Zhang. "A New Method for Estimating Irrigation Water Use via Soil Moisture." Agriculture 13, no. 4 (2023): 757. http://dx.doi.org/10.3390/agriculture13040757.

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The ability to obtain an accurate measure of irrigation water use is urgently needed in order to provide further scientific guidance for irrigation practices. This investigation took soil moisture and precipitation as the study objects and quantitatively analyzed their relationship by establishing four models: a linear model, a logarithmic model, a soil water balance model, and a similarity model. The results from building models on every site clearly revealed the relationship between soil moisture and precipitation and confirmed the feasibility of estimating irrigation water use when soil moi
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38

Manfreda, S., and M. Fiorentino. "A stochastic approach for the description of the water balance dynamics in a river basin." Hydrology and Earth System Sciences 12, no. 5 (2008): 1189–200. http://dx.doi.org/10.5194/hess-12-1189-2008.

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Abstract. The present paper introduces an analytical approach for the description of the soil water balance dynamics over a schematic river basin. The model is based on a stochastic differential equation where the rainfall forcing is interpreted as an additive noise in the soil water balance. This equation can be solved assuming known the spatial distribution of the soil moisture over the basin transforming the two-dimensional problem in space in a one dimensional one. This assumption is particularly true in the case of humid and semihumid environments, where spatial redistribution becomes dom
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39

Sandra, George, and K.K. Sathian. "ASSESSMENT OF WATER BALANCE OF A WATERSHED USING SWAT MODEL FOR WATER RESOURCES MANAGEMENT." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 4 (2016): 177–84. https://doi.org/10.5281/zenodo.48859.

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An attempt has been made in this study to assess the hydrological behavior of the Kurumali sub basin of Karuvannur river basin using SWAT model and other geospatial technologies. All the thematic maps and attribute information of the watershed have been collected from various Government agencies. SWAT model has been set up for the Kurumali sub basin by inputting the digital thematic maps, physical properties of soil and climatic parameters. Total area of the watershed corresponding to the outlet chosen at Kurumali is 423 km<sup>2</sup> and its elevation varies from 10 to 650 m. Six different l
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40

Shelia, Vakhtang, Jirka Šimůnek, Ken Boote, and Gerrit Hoogenbooom. "Coupling DSSAT and HYDRUS-1D for simulations of soil water dynamics in the soil-plant-atmosphere system." Journal of Hydrology and Hydromechanics 66, no. 2 (2018): 232–45. http://dx.doi.org/10.1515/johh-2017-0055.

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AbstractAccurate estimation of the soil water balance of the soil-plant-atmosphere system is key to determining the availability of water resources and their optimal management. Evapotranspiration and leaching are the main sinks of water from the system affecting soil water status and hence crop yield. The accuracy of soil water content and evapotranspiration simulations affects crop yield simulations as well. DSSAT is a suite of field-scale, process-based crop models to simulate crop growth and development. A “tipping bucket” water balance approach is currently used in DSSAT for soil hydrolog
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41

Miller, Eric A. "A Conceptual Interpretation of the Drought Code of the Canadian Forest Fire Weather Index System." Fire 3, no. 2 (2020): 23. http://dx.doi.org/10.3390/fire3020023.

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The Drought Code (DC) was developed as part of the Canadian Forest Fire Weather Index System in the early 1970s to represent a deep column of soil that dries relatively slowly. Unlike most other fire danger indices or codes that operate on gravimetric moisture content and use the logarithmic drying equation to represent diffusion, the DC is based on a model that balances daily precipitation and evaporation. This conceptually simple water balance model was ultimately implemented using a “shortcut” equation that facilitated ledgering by hand but also mixed the water balance model with the abstra
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42

Orth, Rene, Randal D. Koster, and Sonia I. Seneviratne. "Inferring Soil Moisture Memory from Streamflow Observations Using a Simple Water Balance Model." Journal of Hydrometeorology 14, no. 6 (2013): 1773–90. http://dx.doi.org/10.1175/jhm-d-12-099.1.

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Abstract Soil moisture is known for its integrative behavior and resulting memory characteristics. Soil moisture anomalies can persist for weeks or even months into the future, making initial soil moisture a potentially important contributor to skill in weather forecasting. A major difficulty when investigating soil moisture and its memory using observations is the sparse availability of long-term measurements and their limited spatial representativeness. In contrast, there is an abundance of long-term streamflow measurements for catchments of various sizes across the world. The authors invest
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Villa, Pedro Manuel, Alisson Lopes Rodrigues, and Lineu Neiva Rodrigues. "Water balance estimate of beans using a dynamic systems model based on crop coefficient (Kc) variation." Revista Engenharia na Agricultura - Reveng 29 (June 18, 2021): 81–89. http://dx.doi.org/10.13083/reveng.v29i1.9767.

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The crop coefficient (Kc) is one of the most important parameters for studying the water balance, which aims to assess the relationship between growth and production dynamics and the management of water resources in irrigation systems. Thus, in this study, the effect of Kc variation on the water balance was evaluated throughout the bean crop cycle in Northeast Brazil, using a dynamic systems model. The effect of Kc variation scenarios on the water balance in the bean crop in Northeastern Brazil was simulated using the Vensim program. The soil water storage was used as state variable, input flo
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Portoghese, I., V. Iacobellis, and M. Sivapalan. "Analysis of soil and vegetation patterns in semi-arid Mediterranean landscapes by way of a conceptual water balance model." Hydrology and Earth System Sciences Discussions 4, no. 5 (2007): 3909–52. http://dx.doi.org/10.5194/hessd-4-3909-2007.

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Abstract. This paper investigates the impact of various vegetation types on water balance variability in semi-arid Mediterranean landscapes, and the different strategies they may have developed to succeed in such water-limited environments. Water balance constraints are assumed to dominate the organization of landscapes and a conceptual bucket approach is adopted to model the temporal water balance dynamics, with vegetation water use efficiency being parameterized through the use of empirically obtained crop coefficients as surrogates of vegetation behavior in various developmental stages. Sen
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Portoghese, I., V. Iacobellis, and M. Sivapalan. "Analysis of soil and vegetation patterns in semi-arid Mediterranean landscapes by way of a conceptual water balance model." Hydrology and Earth System Sciences 12, no. 3 (2008): 899–911. http://dx.doi.org/10.5194/hess-12-899-2008.

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Abstract. This paper investigates the impact of various vegetation types on water balance variability in semi-arid Mediterranean landscapes, and the different strategies they may have developed to succeed in such water-limited environments. The existence of preferential associations between soil water holding capacity and vegetation species is assessed through an extensive soil geo-database focused on a study region in Southern Italy. Water balance constraints that dominate the organization of landscapes are investigated by a conceptual bucket approach. The temporal water balance dynamics are
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46

Abdi, Sarbast Ismael, and Milat Hasan Abdullah. "Groundwater Recharge Evaluation on The Duhok Dam Reservoir by Using (SWBAPP) Model." Journal of Studies in Science and Engineering 2, no. 1 (2021): 1–16. http://dx.doi.org/10.53898/josse2022211.

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Groundwater recharge has been calculated of Duhok Dam District, Kurdistan region of Iraq by using soil water balance parameters, because of limited sources of water. The study area of 228.96 km2. The main purpose of this paper is to apply a water balance concept with using (https://livingatlas.arcgis.com/waterbalance/) website data models in the Duhok dam basin to describe the groundwater recharge. The influence of groundwater recharge on the rainfall-runoff process was investigated in order to have a better knowledge of the storage runoff water in the Duhok dam lake, the annual groundwater ch
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Flint, Alan L., Lorraine E. Flint, Michelle A. Stern, David D. Ackerly, Ryan Boynton, and James H. Thorne. "Characterizing Soil and Bedrock Water Use of Native California Vegetation." Hydrology 11, no. 12 (2024): 211. https://doi.org/10.3390/hydrology11120211.

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The effective characterization of landscape water balance components—evapotranspiration, runoff, recharge, and soil storage—is critical for understanding the integrated effects of the water balance on vegetation dynamics, water availability, and associated environmental responses to climate change. An improved parameterization of these components can improve assessments of landscape stress and provide useful insights for predicting and managing vegetation responses to climate change. Hydrology models typically are not able to address water availability below the mapped soil profile, but we ref
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Andrenelli, Maria Costanza, Sergio Pellegrini, Claudia Becagli, et al. "A Monthly Water Balance Model for Vineyard Planning and Inter-Row Management." Agronomy 15, no. 1 (2025): 233. https://doi.org/10.3390/agronomy15010233.

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Vineyard is one of the most complex and vulnerable agroecosystems, and ongoing climate change makes it necessary to identify effective management and adaptation practices. For this reason, a water balance model tailored for viticulture was developed to be implemented within a Decision Support System (DSS) aimed at supporting winemakers both in the vineyard’s planning and management phase. Starting from a simple monthly water balance, based on the Thornthwaite–Mather method, the model returns the water stress risk class through the connection to a soil and climate database; the user can however
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Móricz, Norbert. "Water Balance Study of a Groundwater-dependent Oak Forest." Acta Silvatica et Lignaria Hungarica 6, no. 1 (2010): 49–66. http://dx.doi.org/10.37045/aslh-2010-0004.

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The objectives of this study were (1) to estimate the water balance components of an oak stand by calibrating a Hydrus 1-D model, (2) to determine the groundwater consumption by the water table fluctuation method and (3) to compare the results of the modelling with a remote-sensing based estimation. Model simulation described the observed soil moisture and groundwater level relatively well, the root mean square errors varied between 12.0 and 14.9% for the soil moisture measurements and 5.0% for the groundwater level. Groundwater consumption was estimated also by the water table fluctuation met
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Manfreda, S., and M. Fiorentino. "A stochastic approach for the description of the water balance dynamics in a river basin." Hydrology and Earth System Sciences Discussions 5, no. 2 (2008): 723–48. http://dx.doi.org/10.5194/hessd-5-723-2008.

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Abstract. The present paper introduces an analytical approach for the description of the soil water balance dynamics over a schematic river basin. The model is based on a stochastic differential equation where the rainfall forcing is interpreted as an additive noise in the soil water balance. This equation can be solved assuming known the spatial distribution of the soil moisture over the basin transforming the two dimensional problem in a one dimensional one. This assumption is particularly true in the case of humid and semihumid environments, where spatial redistribution of soil moisture bec
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