scholarly journals 2D-ERT monitoring of soil moisture seasonal behaviour in a river levee: A case study

2019 ◽  
Vol 167 ◽  
pp. 140-151 ◽  
Author(s):  
Clara Jodry ◽  
Sérgio Palma Lopes ◽  
Yannick Fargier ◽  
Martin Sanchez ◽  
Philippe Côte
Keyword(s):  
Soil Moisture ◽  
Seasonal Behaviour

scholarly journals Regression Models for Soil Water Storage Estimation Using the ESA CCI Satellite Soil Moisture Product: A Case Study in Northeast Portugal

Water ◽  
2020 ◽  
Vol 13 (1) ◽  
pp. 37
Author(s):  
Tomás de Figueiredo ◽  
Ana Caroline Royer ◽  
Felícia Fonseca ◽  
Fabiana Costa de Araújo Schütz ◽  
Zulimar Hernández
Keyword(s):  
Soil Moisture ◽  
Soil Water ◽  
Regression Models ◽  
Meteorological Data ◽  
Water Storage ◽  
Model Performance ◽  
Soil Water Balance ◽  
Soil Water Storage ◽  
The Relationship

The European Space Agency Climate Change Initiative Soil Moisture (ESA CCI SM) product provides soil moisture estimates from radar satellite data with a daily temporal resolution. Despite validation exercises with ground data that have been performed since the product’s launch, SM has not yet been consistently related to soil water storage, which is a key step for its application for prediction purposes. This study aimed to analyse the relationship between soil water storage (S), which was obtained from soil water balance computations with ground meteorological data, and soil moisture, which was obtained from radar data, as affected by soil water storage capacity (Smax). As a case study, a 14-year monthly series of soil water storage, produced via soil water balance computations using ground meteorological data from northeast Portugal and Smax from 25 mm to 150 mm, were matched with the corresponding monthly averaged SM product. Linear (I) and logistic (II) regression models relating S with SM were compared. Model performance (r2 in the 0.8–0.9 range) varied non-monotonically with Smax, with it being the highest at an Smax of 50 mm. The logistic model (II) performed better than the linear model (I) in the lower range of Smax. Improvements in model performance obtained with segregation of the data series in two subsets, representing soil water recharge and depletion phases throughout the year, outlined the hysteresis in the relationship between S and SM.

scholarly journals Rainfall Threshold for Flash Flood Warning Based on Model Output of Soil Moisture: Case Study Wernersbach, Germany

Water ◽  
2021 ◽  
Vol 13 (8) ◽  
pp. 1061
Author(s):  
Thanh Thi Luong ◽  
Judith Pöschmann ◽  
Rico Kronenberg ◽  
Christian Bernhofer
Keyword(s):  
Soil Moisture ◽  
Flash Flood ◽  
Rainfall Threshold ◽  
Probability Of Detection ◽  
Water Levels ◽  
Critical Success ◽  
Flood Warning ◽  
Critical Discharge ◽  
Critical Success Index

Convective rainfall can cause dangerous flash floods within less than six hours. Thus, simple approaches are required for issuing quick warnings. The flash flood guidance (FFG) approach pre-calculates rainfall levels (thresholds) potentially causing critical water levels for a specific catchment. Afterwards, only rainfall and soil moisture information are required to issue warnings. This study applied the principle of FFG to the Wernersbach Catchment (Germany) with excellent data coverage using the BROOK90 water budget model. The rainfall thresholds were determined for durations of 1 to 24 h, by running BROOK90 in “inverse” mode, identifying rainfall values for each duration that led to exceedance of critical discharge (fixed value). After calibrating the model based on its runoff, we ran it in hourly mode with four precipitation types and various levels of initial soil moisture for the period 1996–2010. The rainfall threshold curves showed a very high probability of detection (POD) of 91% for the 40 extracted flash flood events in the study period, however, the false alarm rate (FAR) of 56% and the critical success index (CSI) of 42% should be improved in further studies. The proposed adjusted FFG approach has the potential to provide reliable support in flash flood forecasting.

Case Study on WSN Based Smart Home Garden with Priority Driven Approach

2020 ◽  
pp. 945-958
Author(s):  
Santosh R. Durugkar ◽  
Ramesh C. Poonia ◽  
Radhakrishna B. Naik
Keyword(s):  
Soil Moisture ◽  
Wireless Sensor Network ◽  
Wireless Sensor ◽  
Large Field ◽  
Home Garden ◽  
Critical Factors ◽  
New Era ◽  
Novel Approach ◽  
Quality Water

The proposed system focuses on utilizing the available water for a home garden in an effective way. The same approach is applicable to agriculture (large field), as our country's economy depends up on the agriculture. Therefore, agriculture is the backbone of Indian economy. In this paper, the authors have proposed a novel approach priority driven scheduling based irrigation model (for home garden) which supplies optimum and good quality water to the crops. The most important part for such system is Wireless Sensor Network which irrigates the plants. The proposed system will be very useful as it immediately irrigates the plant. In this process, soil moisture values will be sensed and compared to find out the lowest value. It means water will be given immediately to such plants where moisture values are low. Such systems will start new era in agriculture and will prove itself as a major requirement in the future due to many critical factors such as irregularity of monsoon, less availability of water, etc.

Case Study on WSN Based Smart Home Garden with Priority Driven Approach

2017 ◽  
Vol 19 (4) ◽  
pp. 37-48 ◽  
Author(s):  
Santosh R. Durugkar ◽  
Ramesh C. Poonia ◽  
Radhakrishna B. Naik
Keyword(s):  
Soil Moisture ◽  
Smart Home ◽  
Wireless Sensor ◽  
Large Field ◽  
Home Garden ◽  
Critical Factors ◽  
New Era ◽  
Novel Approach ◽  
Quality Water

The proposed system focuses on utilizing the available water for a home garden in an effective way. The same approach is applicable to agriculture (large field), as our country's economy depends up on the agriculture. Therefore, agriculture is the backbone of Indian economy. In this paper, the authors have proposed a novel approach priority driven scheduling based irrigation model (for home garden) which supplies optimum and good quality water to the crops. The most important part for such system is Wireless Sensor Network which irrigates the plants. The proposed system will be very useful as it immediately irrigates the plant. In this process, soil moisture values will be sensed and compared to find out the lowest value. It means water will be given immediately to such plants where moisture values are low. Such systems will start new era in agriculture and will prove itself as a major requirement in the future due to many critical factors such as irregularity of monsoon, less availability of water, etc.

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