scholarly journals Estimation of soil water holding capacity with Random Forests for drought monitoring

2021 ◽  
Author(s):  
Yves Tramblay ◽  
Pere Quintana Seguí
Keyword(s):  
Soil Moisture ◽  
High Resolution ◽  
Soil Water ◽  
Random Forests ◽  
Land Surface ◽  
Water Holding Capacity ◽  
Drought Monitoring ◽  
Soil Maps ◽  
Soil Water Holding Capacity ◽  
Water Holding

Abstract. Soil moisture is a key variable for drought monitoring but soil moisture measurements networks are very scarce. Land-surface models can provide a valuable alternative to simulate soil moisture dynamics, but only a few countries have such modelling schemes implemented for monitoring soil moisture at high spatial resolution. In this study, a soil moisture accounting model (SMA) was regionalized over the Iberian Peninsula, taking as a reference the soil moisture simulated by a high-resolution land surface model. To estimate soil water holding capacity, the parameter required to run the SMA model, two approaches were compared: the direct estimation from European soil maps using pedotransfer functions, or an indirect estimation by a Machine Learning approach, Random Forests, using as predictors altitude, temperature, precipitation, evapotranspiration and land use. Results showed that the Random Forest model estimates are more robust, especially for estimating low soil moisture levels. Consequently, the proposed approach can provide an efficient way to simulate daily soil moisture and therefore monitor soil moisture droughts, in contexts where high-resolution soil maps are not available, as it relies on a set of covariates that can be reliably estimated from global databases.

scholarly journals Extracting Soil Water Holding Capacity Parameters of a Distributed Agro-Hydrological Model from High Resolution Optical Satellite Observations Series

2016 ◽  
Vol 8 (2) ◽  
pp. 154 ◽  
Author(s):  
Sylvain Ferrant ◽  
Vincent Bustillo ◽  
Enguerrand Burel ◽  
Jordy Salmon-Monviola ◽  
Martin Claverie ◽  
...  
Keyword(s):  
High Resolution ◽  
Soil Water ◽  
Hydrological Model ◽  
Satellite Observations ◽  
Water Holding Capacity ◽  
Soil Water Holding Capacity ◽  
Water Holding

scholarly journals Comparison of three models fitting the soil water retention curves in a degraded alpine meadow region

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Tao Pan ◽  
Shuai Hou ◽  
Yujie Liu ◽  
Qinghua Tan
Keyword(s):  
Soil Water ◽  
Water Retention ◽  
Alpine Meadow ◽  
Soil Depth ◽  
Water Holding Capacity ◽  
Curve Shape ◽  
Soil Water Retention ◽  
Soil Water Holding Capacity ◽  
Water Holding ◽  
Gardner Model

AbstractSoil water retention curve (SWRC) plays an important role in simulating soil water movement and assessing soil water holding capacity and availability. Comparison of fitness between different models to determine the best SWRC model of specific regions is required. In this study, three popular models, van Genuchten, Brooks Corey and Gardner model, were selected for comparing in a degraded alpine meadow region on the eastern Tibetan Plateau. Fitness, error distribution along with key parameters were compared. For each soil horizon, the soil moisture content at all soil water potentials decreased consistently with degradation, thereby integrally moving the SWRCs of all soil depths downward with degradation. The differences in SWRCs across various degradation degrees diminished along with soil depth and soil water potential. The Adj.r2 values of van Genuchten, Brooks Corey and Gardner models ranged in 0.971–0.995, 0.958–0.997, and 0.688–0.909, respectively. The van Genuchten and Brooks Corey models significantly (p < 0.05) outperformed the Gardner model, and have no significant differences in fitness. The fitness of all three models showed no significant changes with degradation. Regardless of degradation degree and soil depth, the fitting error of van Genuchten and Brooks Corey models was mainly distributed in the higher (from –100 hPa to –500 hPa) and lower (below –10000 hPa) potential sections. With regard to the parameters of van Genuchten and Brooks Corey models, the field capacity (θs), and permanent wilting moisture were highly coherent with Adj.r2 values of higher than 0.98, while the curve shape parameter (θr), and air entry pressure of the Brooks Corey model were much lower than those of the van Genuchten model with Adj.r2 values of lower than 0.91. The SWRCs with varying degrees of degradation are best fitted by both van Genuchten and Brooks Corey models but cannot be fitted by Gardner model. Soil water holding capacity decreased with degradation especially in the top soil (0 cm to 30 cm), but the curve shape of all SWRCs did not change significantly with degradation.

scholarly journals Analysis of soil and vegetation patterns in semi-arid Mediterranean landscapes by way of a conceptual water balance model

2008 ◽  
Vol 12 (3) ◽  
pp. 899-911 ◽  
Author(s):  
I. Portoghese ◽  
V. Iacobellis ◽  
M. Sivapalan
Keyword(s):  
Water Balance ◽  
Soil Water ◽  
Water Holding Capacity ◽  
Sensitivity Analyses ◽  
Vegetation Types ◽  
Study Region ◽  
Mediterranean Landscapes ◽  
Soil Water Holding Capacity ◽  
Water Holding ◽  
Semi Arid

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 modelled, with vegetation water use efficiency being parameterized through the use of empirically obtained crop coefficients as surrogates of vegetation behavior in various developmental stages. Sensitivity analyses with respect to the root zone depth and soil water holding capacity are carried out with the aim of explaining the existence of preferential soil-vegetation associations and, hence, the spatial distribution of vegetation types within the study region. Based on these sensitivity analyses the degrees of suitability and adaptability of each vegetation type to parts of the study region are explored with respect of the soil water holding capacity, and the model results were found consistent with the observed affinity patterns.

Soil water holding capacity under four typical ecosystems in Wuyunjie Nature Reserve of Hunan Province

2012 ◽  
Vol 32 (2) ◽  
pp. 538-547 ◽  
Author(s):  
潘春翔 PAN Chunxiang ◽  
李裕元 LI Yuyuan ◽  
彭亿 PENG Yi ◽  
高茹 GAO Ru ◽  
吴金水 WU Jinshui
Keyword(s):  
Soil Water ◽  
Nature Reserve ◽  
Water Holding Capacity ◽  
Hunan Province ◽  
Soil Water Holding Capacity ◽  
Water Holding

scholarly journals Mapping soil water holding capacity over large areas to predict potential production of forest stands

Geoderma ◽  
2011 ◽  
Vol 160 (3-4) ◽  
pp. 355-366 ◽  
Author(s):  
Christian Piedallu ◽  
Jean-Claude Gégout ◽  
Ary Bruand ◽  
Ingrid Seynave
Keyword(s):  
Soil Water ◽  
Water Holding Capacity ◽  
Forest Stands ◽  
Potential Production ◽  
Soil Water Holding Capacity ◽  
Water Holding

ESTIMATED SOIL WATER RESERVES APPLICABLE TO A WHEAT-FALLOW ROTATION FOR GENERALIZED SOIL AREAS MAPPED IN SOUTHERN SASKATCHEWAN

1984 ◽  
Vol 64 (4) ◽  
pp. 667-680 ◽  
Author(s):  
R. DE JONG ◽  
J. A. SHIELDS ◽  
W. K. SLY
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Water Holding Capacity ◽  
Climatic Data ◽  
Moisture Budget ◽  
Model Soil ◽  
Available Water ◽  
Soil Zone ◽  
Water Holding ◽  
Soil Moisture Budget

Long-term mean soil water reserves for a spring wheat-fallow rotation in the southern half of Saskatchewan were calculated using the Versatile Soil Moisture Budget. Four different available water-holding capacity classes and climatic data from 53 stations were used as input to the model. Soil water reserve data for the following times, seeding on 1 May in the crop year, at heading on 30 June, and on 1 May in the fallow year, were mapped. These were then combined with an available water-holding capacity map to portray in a single map the combined droughtiness due to climatic and soil attributes. Estimated soil water reserves compared well with measured data from one location in the Brown soil zone. The temporal and spatial changes in water reserves are discussed and related to summerfallowing. The maps provide information for use in making potential grain yield estimates. Key words: Soil water, wheat-fallow rotation, generalized soil areas, Saskatchewan, Versatile soil moisture budget

scholarly journals Effects of water deficit on the growth and yield formation of maize (Zea mays L.)

2017 ◽  
pp. 143-148
Author(s):  
Mahama Salifu
Keyword(s):  
Water Content ◽  
Soil Water ◽  
Soil Water Content ◽  
Water Deficit ◽  
Crop Production ◽  
Water Holding Capacity ◽  
Field Soil ◽  
The World ◽  
Soil Water Holding Capacity ◽  
Water Holding

Maize (Zea mays L.) is the most important consuming cereal crop in the world after rice and wheat. This requires an understanding of various management practices as well as conditions that affect maize crop performance. Water deficit stress during crop production is one of the most serious threats to crop production in most parts of the world and drought stress or water deficit is an inevitable and recurring feature of global agriculture and it is against this background that field study of crops response to water deficit is very important to crop producer and researchers to maximize yield and improve crop production in this era of unpredicted climatic changes the world over.A pot experiment was carried out to determine the effects of water deficit on growth and yield formation of maize. Two maize cultivars were used Xundan20 and Zhongdan5485. Three levels of soil water content were used in two stages of water control levels at two stages of the maize plant development1. The JOINTING STAGE: A. CONTROL (CK) soil water content: from 70% to 80% of soil water holding capacity at the field, soil water content: from 55% to 65% of soil water holding capacity at the field, soil water content: from 40% to 50% of the Soil water holding capacity at the field.2. The BIG FLARE PERIOD: A. CONTROL (CK) soil water content: from 75% to 85% of soil water holding capacity at the field, soil water content: from 58% to 68% of soil water holding capacity at the field, soil water content: from 45% to 55% of the soil water holding capacity at the field.This research mainly studied the effects of water deficit on physiological, morphology and the agronomical characteristics of the maize plant at the different water stress levels.The importance of these results in this experiment will enable plant producers to focus and have a fair idea as to which stage of the maize plant’s development that much attention must be given to in terms of water supply.

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