Evidence map›Paper›PMID 40648223›Full record

ArticleSensors (Basel, Switzerland)2025

Investigation into the Performance of TDR and FDR Techniques for Measuring the Water Content of Biochar-Amended Loess.

Nan Zhou, Ziyi Zhao, Ming Li, Junping Ren, Ping Li, Qiang Su

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Nan ZhouCollege of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China.
Ziyi ZhaoCollege of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China.
Ming LiCollege of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China.
Junping RenCollege of Civil Engineering and Mechanics, Lanzhou University, Lanzhou 730000, China.
Ping LiState Key Laboratory of Continental Dynamics, Department of Geology, Northwest University, Xi'an 710069, China.
Qiang SuChina National Geological & Mining Corporation, Beijing 100029, China.

Funding

the Fundamental Research Funds for the Central Universities lzujbky-2022-kb08the Key R&D Program of Gansu Province, China 24YFGA008the Major Program of Gansu Provincial Joint Scientific Research Fund 24JRRA871the National Natural Science Foundation of China 42301141the Shanxi Provincial Key Research and Development Program 202302090301017
6 · The paper itself

Abstract

Biochar has garnered considerable attention for its potential to improve soil properties due to its unique characteristics. However, the precise measurement of soil water content using electromagnetic sensors becomes challenging after biochar is incorporated. This study investigated the impact of biochar on soil water content measurement by adding biochar of varying dosages and particle sizes to a typical loess, under both room and subzero temperature conditions by using time domain reflectometry (TDR) and frequency domain reflectometry (FDR) techniques. The results demonstrate that biochar amendment significantly influenced the measurement accuracy of both TDR and FDR. A clear dosage-dependent relationship was observed, with measurement errors exhibiting progressive escalation as biochar addition rates increased. At room temperature, the root mean square error (RMSE) values for loess were remarkably low (TDR: 0.029; FDR: 0.093). In contrast, the 9% coarse-grained biochar-amended soil (BAS-9%C) showed substantially elevated RMSE values (TDR: 0.2006; FDR: 0.1468). Furthermore, comparative analysis revealed that particle size significantly affected measurement precision, with coarse-grained biochar demonstrating more pronounced interference effects than fine-grained biochar at equivalent application rates. At subzero temperatures, BAS-6%C exhibited significantly higher RMSE values (TDR: 0.1753; FDR: 0.2022) compared to BAS-6%F (TDR: 0.079; FDR: 0.1872). A dielectric mixing model was established for calculating the dielectric constant of BAS. In addition, calibration equations for accurately determining the water content of biochar-amended loess under both room and subzero temperature conditions were established. Furthermore, the mechanisms by which biochar influenced the performance of the TDR and FDR sensors are comprehensively discussed. These findings can provide valuable theoretical foundation and practical guidance for future soil improvement with biochar and accurate water content measurement in BAS.

Indexed as

biochar amendmentcalibration equationsdielectric constantfrequency domain reflectometrysoil water contenttime domain reflectometry

Identifiers

PMID40648223
PMCPMC12252196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.