- He, Hailong, Zou, Wenxiu, Jones, Scott, Robinson, David, Horton, Robert, Dyck, Miles, Filipović, Vilim, Noborio, Kosuke, Bristow, Keith, Gong, Yuan, Sheng, Wenyi, Wu, Qingbai, Feng, Hao, Liu, Yang
- Authors: He, Hailong , Zou, Wenxiu , Jones, Scott , Robinson, David , Horton, Robert , Dyck, Miles , Filipović, Vilim , Noborio, Kosuke , Bristow, Keith , Gong, Yuan , Sheng, Wenyi , Wu, Qingbai , Feng, Hao , Liu, Yang
- Date: 2023
- Type: Text , Book chapter
- Relation: Advances in Agronomy Chapter 4 p. 169-219
- Full Text: false
- Reviewed:
- Description: Time domain reflectometry (TDR) is the most widely used non-destructive, easily automated method to determine water content of soils and other porous media. However, it should be noted that two key steps are required for TDR applications: (1) Obtain and analyze TDR waveforms using travel-time analysis to determine apparent permittivity; (2) determine a new- or apply an existing relationship between the derived apparent permittivity and the volumetric water content of the porous medium of interest. Activities associated with the first key step were presented in a previous review of TDR applications in porous media including soils, plants, snow, food, and concrete (He et al., 2021, Advances in Agronomy, 83–155). This review focuses on the second step required by TDR applications to determine soil water content in both field and laboratory environments. Numerous mathematical models have been developed to enhance our ability to better estimate water content with TDR-measured apparent dielectric permittivity. When applied judiciously, TDR measurements can help to better understand processes such as coupled transport of water, solutes, and heat, measure the soil water balance and improve the efficiency of irrigation scheduling. However, there are important differences in the formulation, applicability, and accuracy of these models, and no systematic review has been previously undertaken. The objectives of this study are to (1) review and synthesize models relating TDR-measured apparent permittivity to water content in porous media, and (2) analyze the relationships between models. This review examines a total of 157 models that are categorized into 123 empirical models, 11 semi-empirical models, and 23 physical models, based on their development, underlying theories, phase configurations, applications to mineral or organic soils, and unfrozen or frozen conditions. Model limitations and perspectives are discussed and several unresolved questions are presented to highlight the need for further research in this rapidly expanding field. © 2023 Elsevier Inc.
Modeling water flow and phosphorus sorption in a soil amended with sewage sludge and olive pomace as compost or biochar
- Filipović, Vilim, Černe, Marko, Šimůnek, Jiří, Filipović, Lana, Romić, Marija, Ondrašek, Gabrijel, Bogunović, Igor, Mustać, Ivan, Krevh, Vedran, Ferenčević, Anja, Robinson, David, Palčić, Igor, Pasković, Igor, Goreta Ban, Smiljana, Užila, Zoran, Ban, Dean
- Authors: Filipović, Vilim , Černe, Marko , Šimůnek, Jiří , Filipović, Lana , Romić, Marija , Ondrašek, Gabrijel , Bogunović, Igor , Mustać, Ivan , Krevh, Vedran , Ferenčević, Anja , Robinson, David , Palčić, Igor , Pasković, Igor , Goreta Ban, Smiljana , Užila, Zoran , Ban, Dean
- Date: 2020
- Type: Text , Journal article
- Relation: Agronomy (Basel) Vol. 10, no. 8 (2020), p. 1163
- Full Text:
- Reviewed:
- Description: Organic amendments are often reported to improve soil properties, promote plant growth, and improve crop yield. This study aimed to investigate the effects of the biochar and compost produced from sewage sludge and olive pomace on soil hydraulic properties, water flow, and P transport (i.e., sorption) using numerical modeling (HYDRUS-1D) applied to two soil types (Terra Rosa and Rendzina). Evaporation and leaching experiments on soil cores and repacked soil columns were performed to determine the soil water retention, hydraulic conductivity, P leaching potential, and P sorption capacity of these mixtures. In the majority of treatments, the soil water retention showed a small increase compared to the control soil. A reliable fit with the modified van Genuchten model was found, which was also confirmed by water flow modeling of leaching experiments (R2 0.99). The results showed a high P sorption in all the treatments (Kd 21.24 to 53.68 cm3 g−1), and a high model reliability when the inverse modeling procedure was used (R2 0.93–0.99). Overall, adding sewage sludge or olive pomace as compost or biochar improved the Terra Rosa and Rendzina water retention and did not increase the P mobility in these soils, proving to be a sustainable source of carbon and P-rich materials.
- Authors: Filipović, Vilim , Černe, Marko , Šimůnek, Jiří , Filipović, Lana , Romić, Marija , Ondrašek, Gabrijel , Bogunović, Igor , Mustać, Ivan , Krevh, Vedran , Ferenčević, Anja , Robinson, David , Palčić, Igor , Pasković, Igor , Goreta Ban, Smiljana , Užila, Zoran , Ban, Dean
- Date: 2020
- Type: Text , Journal article
- Relation: Agronomy (Basel) Vol. 10, no. 8 (2020), p. 1163
- Full Text:
- Reviewed:
- Description: Organic amendments are often reported to improve soil properties, promote plant growth, and improve crop yield. This study aimed to investigate the effects of the biochar and compost produced from sewage sludge and olive pomace on soil hydraulic properties, water flow, and P transport (i.e., sorption) using numerical modeling (HYDRUS-1D) applied to two soil types (Terra Rosa and Rendzina). Evaporation and leaching experiments on soil cores and repacked soil columns were performed to determine the soil water retention, hydraulic conductivity, P leaching potential, and P sorption capacity of these mixtures. In the majority of treatments, the soil water retention showed a small increase compared to the control soil. A reliable fit with the modified van Genuchten model was found, which was also confirmed by water flow modeling of leaching experiments (R2 0.99). The results showed a high P sorption in all the treatments (Kd 21.24 to 53.68 cm3 g−1), and a high model reliability when the inverse modeling procedure was used (R2 0.93–0.99). Overall, adding sewage sludge or olive pomace as compost or biochar improved the Terra Rosa and Rendzina water retention and did not increase the P mobility in these soils, proving to be a sustainable source of carbon and P-rich materials.
Global environmental changes impact soil hydraulic functions through biophysical feedbacks
- Robinson, David, Hopmans, Jan, Filipovic, Vilim, van der Ploeg, Martine, Lebron, Inma, Jones, Scott, Reinsch, Sabine, Jarvis, Nick, Tuller, Markus
- Authors: Robinson, David , Hopmans, Jan , Filipovic, Vilim , van der Ploeg, Martine , Lebron, Inma , Jones, Scott , Reinsch, Sabine , Jarvis, Nick , Tuller, Markus
- Date: 2019
- Type: Text , Journal article
- Relation: Global Change Biology Vol. 25, no. 6 (2019), p. 1895-1904
- Full Text: false
- Reviewed:
- Description: Although only representing 0.05% of global freshwater, or 0.001% of all global water, soil water supports all terrestrial biological life. Soil moisture behaviour in most models is constrained by hydraulic parameters that do not change. Here we argue that biological feedbacks from plants, macro-fauna and the microbiome influence soil structure, and thus the soil hydraulic parameters and the soil water content signals we observe. Incorporating biological feedbacks into soil hydrological models is therefore important for understanding environmental change and its impacts on ecosystems. We anticipate that environmental change will accelerate and modify soil hydraulic function. Increasingly, we understand the vital role that soil moisture exerts on the carbon cycle and other environmental threats such as heatwaves, droughts and floods, wildfires, regional precipitation patterns, disease regulation and infrastructure stability, in addition to agricultural production. Biological feedbacks may result in changes to soil hydraulic function that could be irreversible, resulting in alternative stable states (ASS) of soil moisture. To explore this, we need models that consider all the major feedbacks between soil properties and soil-plant-faunal-microbial-atmospheric processes, which is something we currently do not have. Therefore, a new direction is required to incorporate a dynamic description of soil structure and hydraulic property evolution into soil-plant-atmosphere, or land surface, models that consider feedbacks from land use and climate drivers of change, so as to better model ecosystem dynamics.
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