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Article

Modeling of Bentazone Leaching in Soils with Low Organic Matter Content

by
Tadeusz Paszko
1,* and
Claudio A. Spadotto
2
1
Department of Chemistry, University of Life Sciences, Akademicka 13, 20-950 Lublin, Poland
2
Embrapa Digital Agriculture, Av. André Tosello, 209, Campinas 13083-886, SP, Brazil
*
Author to whom correspondence should be addressed.
Int. J. Environ. Res. Public Health 2022, 19(12), 7187; https://doi.org/10.3390/ijerph19127187
Submission received: 6 March 2022 / Revised: 4 June 2022 / Accepted: 8 June 2022 / Published: 11 June 2022
(This article belongs to the Special Issue Pesticide Risk Assessment: Human and Environmental)

Abstract

:
The aim of this study was to estimate bentazone’s potential to leach to groundwater in the Arenosols developed from sand, Luvisols developed from loamy sand or sandy loam, and Luvisols or Cambisols developed from loess, and to identify the major factors influencing bentazone’s fate in the soils. Potato and maize cultivations were simulated using the FOCUS PELMO 5.5.3 pesticide leaching model. The amount of bentazone reaching groundwater was highly sensitive to degradation parameters, water-holding capacity, evapotranspiration, organic carbon content, and pH. The highest bentazone concentrations in percolate were noted in Arenosols. The risk of bentazone concentration exceeding 0.1 μg/L was low only in Arenosols with high organic carbon content (3.0% for topsoil or higher). In Luvisols developed from loamy sand or sandy loam, the estimated bentazone concentrations in percolate were highly dependent on the climate. In Luvisols or Cambisols developed from loess, concentrations of >0.1 μg/L were the least likely due to the high water-holding capacity and high organic carbon content of these soils. The study also revealed that the FOCUS Hamburg scenario, representing the coarsest soils in the European Union with relatively low organic carbon content, does not reflect the leaching potential of Arenosols and Luvisols.

1. Introduction

Global pesticide use in agriculture contributes greatly to an increase in crop yields, but pesticide residues and degradation products compromise the quality of food, feed, soil, and water. In the European Union (EU), around 75% of drinking water is derived from groundwater, and its quality is continuously monitored [1,2]. According to Directive 2006/118/EC, the EU threshold value for groundwater quality standard (TGS) is set at 0.1 μg/L for a single pesticide or its metabolite, and at 0.5 μg/L for all pesticides and their metabolites detected in the monitoring procedure [1].
Plant protection products are authorized for use in the EU if they fulfil the requirements specified in Regulation 1107/2009 [3]. Among others, the approved products may not exert a harmful impact on surface water, groundwater and drinking water. The Forum for the Coordination of pesticide fate models and their Use (FOCUS) has developed procedures for assessing the leaching potential of pesticides to groundwater during the authorization procedure. Pesticide adsorption and degradation parameters are determined and used in authorized pesticide leaching programs (PEARL, PELMO, PRZM, or MACRO). The cultivation of crops treated with the examined pesticides is then simulated in nine soil- and climate-specific scenarios. In the first-tier simulations, the 80th percentiles of mean annual pesticide concentrations in percolating water at a depth of 1 m are calculated for each scenario for the last 20 years of the 26-year simulation period (PECgw) based on the average values of KFOC (Freundlich adsorption coefficient normalized to organic carbon (OC) content), 1/n (Freundlich exponent), and DT50 (half-life) for topsoils. The calculated values of PECgw should not exceed TGS [4]. If TGS is exceeded for some scenarios or crops, higher-tier simulations are performed. The simulations rely on refined parameters (adsorption and degradation in subsoils, pH-dependent or non-equilibrium adsorption, plant uptake or pesticide volatilization, etc.), refined scenarios (adapted to the intended use in terms of soil, crops, and climate), or both [4].
Bentazone (3-isopropyl-1H-2,1,3-benzothiadiazin-4(3H)-one 2,2-dioxide) is widely used as a post-emergence herbicide around the world. The compound is applied mainly to control broadleaf weeds and sedges [5]. Bentazone is a weak organic acid with pKa = 2.86 [6,7], and in soils with pH > 5, it exists almost exclusively in anionic form, and therefore, it is weakly sorbed. In most studies, KFOC values were determined within the range specified in the EU dossier from 2015, i.e., 3.0 to 175.6 μg1−1/n (mL)1/n g−1 [8]. Bentazone is adsorbed mostly on soil organic matter, and at low pH also on quartz. The adsorption of bentazone in soils can be well described with the pH-dependent adsorption model, which assumes that the anionic form of herbicide is adsorbed on organic matter and the neutral form is adsorbed on organic matter and sand [7]. This compound is relatively quickly degraded in topsoils. In the cited EU dossier, DT50 values for topsoils were in the range of 8.2–35.0 d in the laboratory and 3.0–31.3 d in the field studies.
Monitoring studies have shown that bentazone was rarely detected or was detected at very low concentrations in topsoil samples [9,10]. However, this compound was frequently detected in surface water samples (3–69%) at maximum concentrations from various studies of 0.04–0.701 μg/L [10,11,12,13,14]. Bentazone was less frequently detected in groundwater (14–32%), but its maximum concentrations were higher (0.29–10.6 μg/L) [15,16,17]. The concentrations of major bentazone metabolites (N-methyl-bentazone and 2-amino-N-isopropylbenzamide) were below TGS [18,19,20]. As bentazone can reach groundwater, it has often been used as a model herbicide in field, lysimetric, and modeling studies [19,21,22].
As regards soil characteristics, the FOCUS Hamburg scenario can represent the coarsest soils of central Europe, i.e., Arenosols (AR) and Luvisols (LV). However, according to FOCUS some Polish regions are not represented by the Hamburg scenario, this is mostly because the prevailing soil types are coarser or have lower organic matter content [4]. However, possible differences in leaching potential between the Hamburg scenario and soil- and climate-specific scenarios for Poland have not been compared to date. Moreover, there are no studies assessing the effect of pH-dependent adsorption of bentazone on its leaching to groundwater.
Therefore, we hypothesized that TGS for bentazone may be exceeded in some soil groups of Poland. The specific objectives of the study were to: (i) identify the factors that significantly influence bentazone leaching to groundwater in the coarsest mineral soils, with particular emphasis on pH-dependent adsorption, (ii) assess the most likely ranges of PECgw in soils, and (iii) determine the extent to which the FOCUS Hamburg scenario reflects the leaching potential of the examined soil groups.

2. Materials and Methods

2.1. Soils

Twenty-seven soil profiles (code numbers 45 to 913) were selected from the database and soil collection of the Institute of Agrophysics of the Polish Academy of Sciences in Lublin [23], and three profiles (denoted as HT, WO and SO) were selected based on the information provided by the Institute of Soil Sciences and Environmental Management of the University of Life Sciences in Lublin. Eleven profiles classified as AR [24] represent 27% of the coarsest Polish arable soils developed from sand. Eleven profiles classified as LV represent 24.7% of the soils developed from loamy sand or sandy loam, while eight profiles classified as Luvisols or Cambisols (LV&CM) represent 6.9% of the soils developed from loess or loess-like formations. The locations of the examined soil profiles are presented in Figure S1 in the Supplementary Materials. Soil properties (sand (Sand), silt (Silt), clay (Clay), and OC content (%), soil pH, water content at field capacity (FC) (L/L), and saturated hydraulic conductivity (Ks) (cm/day)) and methods of soil analysis are presented in Table S1 in the Supplementary Materials. Other soil properties are described elsewhere [7,25].

2.2. Adsorption Isotherms

Aqueous solutions of bentazone with a concentration of 1.5, 3.0, 4.5, 6.0, and 7.5 mg/L were prepared using a certified analytical standard (99.8 ± 0.1% purity; Institute of Organic Industrial Chemistry, Warsaw, Poland) and sterile redistilled water. The remaining solvents and reagents were of analytical grade or high-performance liquid chromatography (HPLC) grade.
Batch adsorption experiments were performed according to the OECD Guideline 106 [26] at a temperature of 22 ± 1 °C, with a soil–solution ratio of 1:1. Kinetic experiments [7] demonstrated that an adsorption equilibrium could be obtained within 24 h. Adsorption isotherms were determined for samples from three depths of six soil profiles with differentiated soil texture, pH, and OC contents: 611 (AR developed from sand; OC 0.03–0.68%, pH 4.1–4.6), 590 (LV developed from loamy sand; OC 0.08–0.93%, pH 4.7–5.0), SO (LV developed from sandy loam; OC 0.10–0.80%, pH 6.2–6.7), WO (LV developed from sandy loam; OC 0.12–0.75%, pH 4.4–5.4), HT (LV developed from loess; OC 0.07–0.76%, pH 4.7–6.1), and 564 (CM developed from loess; OC 0.49–1.23%, pH 6.2–6.6). Briefly, soil samples with a dry weight of 2 g each were placed in 10 mL glass tubes, 1.735 mL of 0.012 M CaCl2 containing 3 × 10–5 M HgCl2 (used as a biocide) was added, and the tubes were equilibrated overnight. Next, 0.265 mL of bentazone solutions at five concentrations ranging from 1.5 to 7.5 mg/L was added to triplicate soil samples; the tubes were agitated for 24 h, centrifuged (10 min, 3300 g, 20 °C), and the aqueous phase was collected for HPLC analyses. The amount of adsorbed bentazone was calculated as the difference between its initial and final concentration in the solution. The HPLC analysis has been described in detail previously [7].

2.3. Modeling of Bentazone Leaching

Bentazone leaching was simulated using the FOCUS PELMO 5.5.3 one-dimensional pesticide leaching model, which estimates the vertical transport of pesticides in the unsaturated soil system within and below the plant root zone. Parametrization of PELMO described below is consistent with guidelines and recommendations of FOCUS for simulations required for registration of pesticides in the EU [4,27]. The cultivation of maize and potatoes was simulated because in Poland; these crops occupy the largest area (11.6% and 2.8%, respectively, in 2019 [28]) of all crops where bentazone is used for plant protection. It was assumed that plant emergence, maturity, senescence, and harvest dates were identical to those in the FOCUS Hamburg scenario. A single bentazone dose of 0.960 kg/ha was applied 12 days after emergence in maize (BBCH 14) and 5 days after emergence in potatoes (BBCH 12). The doses were adjusted for crop interception (calculated with AppDate 3.06 software [27]), and the modeled values were 0.720 kg/ha for maize and 0.816 kg/ha for potatoes.
Bentazone characteristics, including molecular mass (240.3 g) and Henry’s law constant at 25 °C (7.2 × 10–5 Pa m3/mol), were obtained from the Pesticide Properties Database [20]. The DT50 values obtained in our previous study [25] for bentazone degradation in HT, WO, and SO profiles at 25 °C and 40% water-holding capacity were recalculated to 20 °C using the Arrhenius equation, and to water content at FC (10 kPa; estimated using pedotransfer functions of PELMO) using the Walker equation [4]. The resulting DT50 values for the Ap horizon of HT, WO, and SO profiles were 4.3, 3.4, and 16.6 d, respectively (geometric mean-6.2 d), and they were within the range of values specified in the EU dossier (3.0–31.3 d; geometric mean-7.5 d, n = 6) [8]. The geometric mean values of 7.5 d and 6.2 d were used in simulations as the most reliable values.
The default FOCUS values of 1:0.50:0.30 were tested as the depth-dependent degradation factors (DDF-ratio of DT50 values for topsoil and the respective subsoil horizon). The DDF values of 1:0.42:0.11 that were previously determined for three pesticides, including bentazone [25], were also used. The applied temperature correction factor for degradation (Q10 = 2.58), Walker moisture exponent (0.7), and plant root uptake factor (0.5) are default values or the values recommended by FOCUS [4]. The thickness of the topsoil and two subsoils was set at 25 cm, 35 cm, and 40 cm, respectively. The dispersion length of 100 cm profile layers was set at 5 cm [4]. The macropore flow option was not used during simulations because in coarse soils, including AR and LV, pesticides are transported to groundwater primarily via piston flow [18].
Climate data for 1990–2009 were obtained from the Hydro-Meteorological Station in Lublin-Radawiec (51°13′ N, 22°24′ E; hereinafter referred as the Lublin climate) of the Institute of Meteorology and Water Management. The 26-year simulation period was obtained by repeating the first 6 years. Hamburg climate files were also used.
To ensure that program was correctly parametrized, the input parameters used in the EU dossier [8] were tested: DDF-1:0.5:0.3, DT50 = 7.5 d, KFOC = 30.2 μg1−1/n (mL)1/n g−1, and 1/n = 0.97. For the above parameters, the values of PECgw for the Hamburg scenario, calculated based on the default FC and WP (water content at wilting point; 1600 kPa), and the ET (daily potential evapotranspiration) values from the climate files, were identical to the PELMO values published by EFSA [8] at 0.020 μg/L for both crops. If potential evapotranspiration and water content at FC and WP are unknown, the Hamon equation and PELMO pedotransfer functions, created based on the results of lysimetric studies carried out during program validation, are recommended options, respectively [27]. When the above settings were applied to the Hamburg scenario, PECgw was determined at 0.020 μg/L for maize and 0.017 μg/L for potatoes. Thus, it was assumed that both settings were sufficiently accurate to be used as default settings in simulations of Polish soil profiles.
KF and 1/n values determined in batch experiments (Table S2 in the Supplementary Materials) were used in the simulations of six profiles. The Kd values derived experimentally by Paszko et al. [7] were used as KF values for the remaining 24 profiles, and a similar approach had been previously used by Paszko [29] and Paszko [30]. The value of 1/n, was set at 0.95 for 24 profiles based on the average experimental values in Table S2 in the Supplementary Materials. For selected simulations, Kd values were predicted based on bentazone pKa = 2.86, soil pH, OC, and Sand contents with the use of the equation described by Paszko et al. [7]:
K d = 0.226   O C + 0.018   S a n d 1 + 10 p H p K a + 0.072   O C 1 + 10 p K a p H
The first term of Equation (1) describes the adsorption of the neutral form of bentazone and the second term the adsorption of its anionic form. The equation was parametrized for bentazone adsorption in Polish soils, but it was characterized by a good fit to the majority of Kd values in the literature (see Paszko et al. [7]).
Data were processed statistically in Statistica 13 (TIBCO Software Inc., Palo Alto, CA, USA).

3. Results and Discussion

3.1. Adsorption Isotherms

Freundlich isotherm KF values were determined in the range of 0.054–0.141 and 0.07–0.042 μg1−1/n (mL)1/n g−1 for topsoils and subsoils, respectively (Table S2 and Figure S3 in the Supplementary Materials). The upper threshold of KF values presented in the EU dossier (0.02–3.06 μg1−1/n (mL)1/n g−1) EFSA [8] is higher, which can be attributed to a much higher OC content in the soils (up to 3.5%; up to 1.23% in this study). The obtained KFOC values (4.4–140.0 μg1−1/n (mL)1/n g−1) were in the range specified in the EU dossier (3.0–175.6 μg1−1/n (mL)1/n g−1). Similarly to our previous study [7], KFOC values were lower in topsoils (4.4–20.7 μg1−1/n (mL)1/n g−1) and higher in subsoils (5.6–140.0 μg1−1/n (mL)1/n g−1. In the group of the tested subsoils, KFOC values were highest in AR, which indicated that quartz contributed to adsorption [7]. This result also indicates that KFOC values should not be used to compute PECgw, because bentazone leaching will be underestimated in topsoils and overestimated in subsoils.
The obtained 1/n values (0.87–0.95 and 0.88–1.05 for top- and subsoils) were in the range indicated in the EU dossier (0.66–1.13). Low KF values for topsoils, very low KF values for subsoils and 1/n values of around 0.95 (mean value for topsoils and subsoils) indicated that bentazone is mobile in topsoils and very mobile in subsoils.

3.2. Influence of Degradation Parameters on Bentazone Leaching

The degradation parameters used previously in the EU dossier simulations [8], i.e., DT50 = 7.5 d and DDF 1:0.50:0.30, were applied in the first simulation set (SM1). The simulations were carried out in 30 profiles of Polish arable soils with OC content typical of the examined soil groups. In potato simulations (Figure 1), the obtained PECgw exceeded TGS in nine out of eleven AR profiles and in two out of eleven LV profiles. In maize simulations, PECgw exceeded TGS for ten AR and two LV profiles. In the LV&CM profiles for both crops, the computed PECgw were below TGS. Thus, simulations revealed that TGS can be exceeded when bentazone is applied in the AR soil group.
In the second simulation set (SM2), the value of DT50 was set at 6.2 d based on the geometric mean of DT50 values that were derived experimentally for Polish soils. The applied value was also the median value reported in the field studies by the EU dossier [8]. The experimental DDF values of 1:0.42:0.11 for Polish soils [25] were also applied. Our previous studies [25,29,30] demonstrated that DDF values for Polish soils, especially AR and LV profiles, are lower than default FOCUS values. The DDF values for bentazone in subsoil samples from a depth of 40–50, 60–70, and 70–80 cm, were calculated at 0.31, 0.18, and 0.11, respectively, based on the work of Rodríguez Cruz et al. [31]. The results of SM2 (Figure 1) were similar to SM1 results; the estimated PECgw exceeded TGS in eight AR and two LV profiles for potatoes, and in nine AR and two LV profiles for maize.
The simulations presented in Figure 1 indicate that values of PECgw were affected by the properties of the examined soil groups. Significant correlations between bentazone concentrations in groundwater and soil type were previously reported by Tiktak et al. [32] and McManus et al. [14]. A monitoring study performed in the field in Vredepeel, the Netherlands [22,33] revealed that significant amounts of bentazone are leached to depths greater than 1 m in a soil developed from sand. However, in a monitoring study conducted on Luvisols and Chernozems developed from loess in the Querne/Weida catchment in central Germany [10], bentazone concentrations in surface water were determined in the range of 0.01–0.04 μg/L only, and were highly similar to the values noted in the present study in the LV&CM soil group (Figure 1).
Values of PECgw were similar in SM1 and SM2 because the lower DT50 value for topsoils in SM2 was compensated by lower DDF values for subsoils. Two additional simulations were carried out to determine the actual influence of degradation parameters on PECgw. DDF values of 1:0.42:0.11 and DT50 values of 7.5 d or 5.1 d (~65th and ~35th percentiles of the EU dossier values, respectively) were used in the simulations. The results are presented in Figure 1 as the top (DT50 7.5 d) and bottom (DT50 5.1 d) error bars in SM2. Thus, the error bars reflect ~30% variance in degradation rates. As shown in Figure 1, a decrease in the degradation rate to DT50 7.5 d in the arable layer led to a high increase in PECgw in excess of TGS in all AR profiles and in most LV profiles. An increase was also observed in LV&CM profiles, but it was below TGS in most cases. In turn, when the degradation rate increased to DT50 = 5.1 d, PECgw in all LV profiles and in most AR profiles did not exceed TGS. Despite the above, the values of PECgw calculated for AR were still high (median value for both crops—0.066 μg/L).
The values of PECgw for bentazone were also highly sensitive to changes in the degradation rate in subsoils. The differences between values of PECgw for SM1 and SM2 at DT50 = 7.5 d (top of the error bars in Figure 1) result from the replacement of DDF 1:0.5:0.30 with DDF 1:0.42:0.11. The increase in PECgw was similar to that observed when DT50 = 6.2 d was replaced by DT50 = 7.5 d. The highest increase occurred in AR and the lowest increase was noted in the LV&CM soil group.
The effect of degradation parameters settings on PECgw was recently examined by Lammoglia et al. [21] in soil with the texture of clay loam (0–30 cm) to silty clay loam (90–120 cm). They found that DT50 for topsoils was the fourth most important determinant of bentazone leaching. The results presented in Figure 1 indicate that degradation parameters exert a considerable effect on PECgw in coarse soils. The simulations also revealed that correct degradation parameter settings for bentazone are key for obtaining reliable values of PECgw. Despite a smaller number of topsoil observations (n = 3 vs. n = 6 in the EU dossier), the degradation parameters obtained for Polish soils gave results comparable to the simulations presented in the EU dossier. Therefore, it was assumed that these parameters (DT50 6.2 d and DDF 1:0.42:0.11) could be applied in further simulations.

3.3. Comparison of PECgw for AR, LV, and LV&CM with the Values for the Hamburg Scenario

The SM1 and SM2 simulations in the FOCUS Hamburg profile were carried out for the Hamburg climate and the Lublin climate (Figure 1). ET values from the climate files and default FC and WP values were used in Hamburg climate simulations, whereas the Hamon model and PELMO pedotransfer functions were used in Lublin climate simulations. Similarly to the simulations published in the EU dossier [8], values of PECgw in Hamburg climate simulations were considerably below TGS for both crops. Values of PECgw in Lublin climate simulations were somewhat below the Hamburg values, and the difference was attributed to lower precipitation in the Lublin climate. The temperatures in the Hamburg scenario are somewhat higher than in Lublin, whereas precipitation is much higher than in Lublin (Figure S4 in the Supplementary Materials). Since values of PECgw were much higher for AR, the Hamburg scenario does not reflect the leaching potential of typical AR profiles. In most LV profiles, values of PECgw were also higher than in the Hamburg scenario. Thus, the Hamburg scenario is not representative of the LV soil group either (excluding soils with the highest OC and the lowest pH). In turn, bentazone leaching to groundwater was higher in the Hamburg scenario than in the LV&CM soil group.
The data presented in Figure 1 suggest that the differences in PECgw between the Hamburg scenario and the scenarios for AR and LV profiles were related to differences in soil properties rather than to differences in climate. As suggested by FOCUS [4], one of these properties was the much higher OC content in the Hamburg profile (1.5% in the 0–30 cm layer and very high 1.0% content in the 30–60 cm layer) than in typical AR or LV profiles (Figure S2 in the Supplementary Materials). High OC content was responsible for higher bentazone adsorption and retention in the Hamburg profile. In addition, hydraulic parameters in the Hamburg scenario were not highly representative of AR because the Hamburg profile consisted of sandy loam at a depth of 0–60 cm and sand only at depths greater than 60 cm (Table S3 in the Supplementary Materials) [4].

3.4. Soil Properties Affecting Bentazone Leaching

Pesticide leaching to groundwater is determined by numerous processes (solute transport, degradation, adsorption, plant-uptake, volatilization), climate (temperature and precipitation), and agricultural practices (pesticide application dose and date) [21,22]. The influence of degradation parameters is discussed in Section 3.2. In the case of adsorption, values of PECgw increase with a decrease in KF and an increase in 1/n. In this study, the effect of 1/n, pesticide dose and application date on PECgw was not examined. In the case of KF, the means of the used Kd and KF values for topsoils were 0.152a, 0.100b, and 0.081b mL/g for AR, LV, and LV&CM soil groups, respectively (significant differences (p = 0.05) are marked with different letters in the superscripts; LSD test in one-way ANOVA), and the differences were not significant in subsoils. For details, see Table S4 and Figure S7 in the Supplementary Materials. Thus, bentazone leaching in the AR soil group should be lowest, not highest, when only Kd and KF values are taken into account.
Soil properties responsible for the highest bentazone leaching in AR, lower leaching in LV, and the lowest leaching in LV&CM (Figure 1) were determined by PCA, supported with one-way ANOVA or (when variances were not equal) by a Kruskal–Wallis test. Soil properties from the upper subsoil horizon were disregarded to obtain legible two-dimensional graphs with eigenvalues for the third component <1. PCA the SM2 of potatoes (Figure 2a) and maize (Figure S6 in the Supplementary Materials) revealed that PECgw was strongly positively correlated with Sand, Percolate (mean annual volume of water percolating to a depth of 1 m), and Ks. Strong negative correlations were observed between PECgw vs. Clay, ET, and FC. Percolate (expressed as a percentage of precipitation) was significantly higher for AR than for LV and LV&CM soil groups (27.8%a vs. 25.7%b and 22.8%b for potatoes; 24.8%a vs. 22.6%b and 20.7%b for maize, respectively; letters in superscript—Kruskal–Wallis test (p = 0.05)). Other details concerning relationships between PECgw and Ks, and between PECgw and FC, are presented in Figure S8 in the Supplementary Materials. Bentazone leaching to groundwater was strongly correlated with water-holding capacity in a study by Tiktak et al. [32], and with boundary hydraulic conductivity in the work by Lammoglia et al. [21].
Percolate was influenced not only by FC, Sand, and Clay, but also by ET, which was significantly lower for AR than for LV and LV&CM soil groups (71.9%a vs. 74.1%b and 76.9%b for potatoes; 74.9%a vs. 77.1%b and 78.9%b for maize, respectively; Kruskal–Wallis test (p = 0.05)). Thus, the lowest water capacity in the AR soil group (the mean FC for AR, LV and LV&CM was 0.229a, 0.270b and 0.380b mL/mL for the Ap horizon; and 0.210a, 0.342b and 0.386b mL/mL for the C horizon, respectively; Kruskal–Wallis test (p = 0.05)) decreased evapotranspiration and increased the volume of Percolate. High Sand content of AR and low water capacity were associated with significantly higher Ks values in AR than in LV and LV&CM (mean Ks values were 247a, 52b, and 41b cm/day for the Ap horizon; and 482a, 6b and 18b cm/day for the C horizon, respectively; Kruskal–Wallis test (p = 0.05)), which also contributed to an increase in bentazone leaching in AR.
Low water capacity and high water conductivity in AR group also contributed to lower bentazone volatilization from the soil surface. Bentazone volatilization (expressed in percentage of the applied dose) in AR, LV, and LV&CM was determined at 3.3%a, 4.2%b, and 4.3%b for potatoes, and at 3.7%a, 4.5%b, and 4.6%b for maize, respectively (LSD test in one-way ANOVA (p = 0.05)). However, the low Spearman’s correlation coefficients between the amounts of bentazone transported with percolating water below 1 m depth and the amount of volatilized bentazone (−0.329 for potatoes and −0.322 for maize) and high p-values (0.076 and 0.083) indicates that volatilization exerted a minor influence on the amount of leached bentazone. The rate of pesticide volatilization from the soil surface is correlated with evaporating water, and this process is taken into account in FOCUS PELMO [34,35].
The applied values of KF and Kd did not exert a major effect on PECgw when statistical analyses were performed for all three soil groups. However, in individual soil groups, bentazone leaching was considerably affected by adsorption, which is determined by OC and Sand contents (Equation (1)) and is inversely related to soil pH. In individual soil groups, PECgw was negatively correlated with Kd, and positively correlated with pH (Figure 2b and Figure S6b in the Supplementary Materials). In AR profiles (Figure 1), the highest values of PECgw (profiles 360, 45, and 774) were noted when pH was in the upper range, whereas the lowest values of PECgw (profiles 281, 611, and 733) were noted when pH was in the lower range (Table S1 in the Supplementary Materials). Surprisingly, differences in OC content were less significant than differences in pH. High values of PECgw in LV profiles 348 and 590 also resulted from low sorption caused by high soil pH and low OC content.

3.5. Risk of Excessive Bentazone Leaching in AR and LV

The results of SM1 and SM2 (Figure 1) indicate that bentazone leaching to groundwater in AR and LV can exceed TGS. However, the risk of excessive bentazone leaching in AR and LV was difficult to assess from the data presented in Figure 1 or soil characteristics (e.g., range of OC content and pH range) for which this risk is high. The reason for the above was that profiles with typical OC contents were selected, whereas profiles with very high and very low OC contents were avoided in the examined soil groups (Figure S2 in the Supplementary Materials).
A total of 255 AR profiles were selected from the database of Polish arable mineral soils [23] for this purpose. The percentiles (1st to 99th) of OC contents were calculated for the selected dataset (Table S5 in the Supplementary Materials). Next, Kd values for each OC were calculated using Equation (1). The minimum, first quartile (Q1), median, third quartile (Q3), and maximum pH values (Figure 3), as well as the mean Sand content of 87.8%, 94.4%, and 96.4% for topsoils and two subsoils were calculated for Equation (1) based on the data from Table S1 in the Supplementary Materials. The calculated values of Kd, 1/n = 0.95, as well as OC, Sand, and Clay contents (the mean values for topsoil and subsoils were 2.2%, 1.5%, and 1.7%) were used to simulations with model AR profiles with varied OC contents and pH. The applied degradation parameters were: DT50 = 6.2 d, and DDF of 1:0.42:0.11.
The obtained values of PECgw exceeded TGS in 77% of maize simulations, and in 70% of potato simulations. Values of PECgw were below TGS only in soils with the highest OC content (≥95th percentile) and in soils with the lowest pH (Figure 3a). The most probable range of PECgw obtained for the Q1–Q3 range of the OC and pH was 0.136–0.375 μg/L for both crops.
The same simulations were performed using climate files from the Hamburg scenario (the Hamon equation was used). Such simulations (Figure 3b) can be representative of north-western and south-eastern Poland (Figure S5 in the Supplementary Materials), where precipitation is similar to the Hamburg scenario, as well as all of Poland as regards hot and rainy years. The AR soil group is highly prevalent in north-western Poland and less prevalent in south-eastern Poland [36]. The group, which covers 3.6% of the total land area in the EU, is also prevalent in Sweden, Denmark, and northern Germany. It is encountered on a smaller scale in England, northern France, Belgium, the Netherlands, Lithuania, and Latvia [36]. According to FOCUS, the Hamburg climate is largely representative of all of the above locations, excluding northern and central Sweden [4].
In most cases, the PECgw range was narrower in Figure 3b than in Figure 3a (compare the ranges of error bars), and the values for the 99th–90th percentiles of OC content were higher in Figure 3b. For most profiles, TGS were exceeded even in soils characterized by the highest sorption at the lowest pH. The values of PECgw obtained for the Q1–Q3 range of OC and pH values (0.175–0.287 μg/L for both crops) were within the range noted in the Lublin climate. Therefore, the leaching potential of AR soil group was similar in both examined climates. The simulations presented in Figure 3b indicate that when bentazone is applied in AR profiles with a very low pH, PECgw can be expected to exceed TGS in profiles where OC ≤ 1.3%, 0.5%, and 0.1% in topsoils and two subsoils, and in the case of a high soil pH in profiles with OC ≤ 3.0%, 1.4%, and 0.4%, respectively.
Similar model profiles were created for the LV soil group. In this case, the percentiles of OC content were calculated based on data from 150 profiles of LV developed from loamy sand or sandy loam [23]. The mean values of Sand were 71.5%, 61.9%, and 52.3% for topsoils and two subsoils (Table S1 in the Supplementary Materials), and the mean values of Clay were 6.3%, 15.7%, and 23.5%, respectively. The simulations of the Lublin climate revealed that PECgw exceeded TGS in 4% of the cases for potatoes and in 37% of the cases for maize (Figure 4a). An analysis of the water and pesticide mass balance suggested that higher values of PECgw for maize resulted mainly from default settings affecting ET (458.1 L/m2/year for maize and 440.7 L/m2/year for potatoes), and bentazone uptake by plants (23.4–29.7% of the applied dose for maize, and 25.9–32.0% for potatoes). In maize, PECgw exceeded TGS only in profiles with OC contents ≤ 75th percentile as well as medium or high soil pH. The most probable range of PECgw for LV, obtained based on the Q1–Q3 range of OC and pH, was 0.048–0.116 μg/L.
As LV soil group is most prevalent in both north-western and south-eastern Poland, simulations involving the Hamburg climate were also carried out. It should also be noted that the LV group covers 15% of the land area in the EU and is found in nearly all European countries. Except Poland, in central and central-western Europe LV developed from loamy sand or sandy loam occur in northern Germany, Denmark, northern France, England, Lithuania, and Latvia [4,36]. As already mentioned, the Hamburg climate is largely representative of the above locations.
The estimated PECgw were much higher for both crops. The values of PECgw were less likely to exceed TGS only in soils with the 99th percentile of OC content. In soils with OC contents of the 95th percentile or lower, PECgw exceeded TGS within nearly the entire examined pH range, excluding several profiles with the highest OC and the lowest pH values for potatoes. The values of PECgw for the Q1–Q3 range of OC and pH values were determined at 0.137–0.198 μg/L for both crops. Data presented in Figure 4b indicate that when bentazone is used in acidic soils, values of PECgw are likely to exceed TGS in profiles with OC ≤ 1.3%, 0.7%, and 0.2% in topsoils and two subsoils, and when bentazone is applied in soils with a high pH, values of PECgw are likely to exceed TGS in profiles with OC ≤ 2.5%, 0.8%, and 0.2%, respectively.
The above findings are consistent with the results obtained by Lammoglia et al. [21], who observed that the values of PECgw of bentazone in profile with the texture of clay loam to silty clay loam were affected mainly by differences in annual precipitation. Rasmussen et al. [37] examined the impact of rainfall intensity on pesticide leaching and found that rainfall significantly contributed to bentazone leaching in sandy loam soil, whereas no differences were noted in sandy soil. Therefore, the observed differences in bentazone leaching in AR and LV profiles in Lublin and Hamburg climates could be attributed to the higher water-holding capacity of LV, which to some extent prevented bentazone leaching in this soil group in the Lublin climate, but not in AR profiles.
The simulations presented in Figure 3 and Figure 4 indicate that low soil pH, which is detrimental to plant cultivation, can greatly reduce bentazone leaching to groundwater. However, in AR profiles, and in LV profiles in simulations of the Hamburg climate, bentazone sorption was generally too low to prevent exceeding TGS even in acidic soils. Moreover, a comparison of the most probable ranges of PECgw based on the Q1–Q3 range of OC and pH values with the values obtained for the Hamburg scenario (Figure 1) confirmed that the Hamburg scenario is not representative of AR and LV soil groups in both examined climates.
The values of PECgw presented in Figure 3b and Figure 4b are lower than those obtained in the modeling study by Tiktak et al. [32]. The cited authors estimated that bentazone concentrations in groundwater were highest in Dutch soils with the texture of sand or loamy sand, reaching 1 μg/L in soils with low OC contents. However, they used more conservative settings for adsorption and degradation parameters (e.g., DT50 = 16 d). In Denmark, Rosenbom et al. [18] monitored bentazone leaching to groundwater in the Jyndevad field (texture of sand, OC content in the arable layer—1.8%, pH 5.6–6.2) and in the Tylstrup field (texture of loamy sand, OC—2.0%, pH 4.0–4.5). Properties of the Jyndevad and Tylstrup soils are similar to the Polish AR and LV profiles. In Jyndevad, bentazone was detected in 32.5% of the samples with the use of suction cups placed 1 m b.g.s. In 4% of the samples, bentazone concentrations exceeded TGS, and the maximum concentration was 1.6 μg/L. In Tylstrup, bentazone was detected in one sample at a concentration of 0.01 μg/L. In view of the simulation results presented in Figure 3b, the predicted value of PECgw for Jyndevad, estimated for both crops for the Hamburg climate as the average value the for 95th and 90th percentiles of OC at maximum pH, was 0.18 μg/L. The PECgw predicted for Tylstrup, estimated for the Hamburg climate as the average value for the 99th and 95th percentiles of OC at minimum pH (Figure 4b), was 0.06 μg/L for both crops. Considering that climate data for the above locations were not used and that soil data were available only for the arable layer, the resulting predictions are quite accurate for both Jyndevad and Tylstrup.

4. Conclusions

The values of PECgw for bentazone were highly sensitive to degradation parameters, organic matter content, and soil pH. Soil properties associated with water-holding capacity, water conductivity, and evapotranspiration also exerted a considerable impact on PECgw.
In the examined soil groups, values of PECgw were highest in AR profiles, and only minimal differences were observed between results for the Lublin climate, which is characteristic of the Polish climate and the FOCUS Hamburg climate. Simulation results suggest that in the AR soil group the use of bentazone for crop protection should be limited to soils with high OC content (3.0% or higher for topsoil). The values of PECgw in the LV soil group were largely dependent on climate conditions. In simulations based on the Lublin, climate PECgw values were below TGS only in profiles with the lowest OC contents and the highest pH. This observation suggests that in the LV soil group, bentazone can be safely applied in regions with an estimated annual precipitation ≤600 mm. The simulations based on the Hamburg climate revealed that in areas with a mean annual precipitation ≥ 750 mm, bentazone can be safely applied only in soils with high OC content (2.5% or higher for topsoil). The simulations carried out in the LV&CM soil group revealed that TGS were unlikely to be exceeded in these soils with high water-holding capacity and high OC content.
A comparison of the obtained results with values noted in the FOCUS Hamburg scenario, which represents the coarsest soils in the EU with a relatively low OC contents, demonstrated that this scenario does not reflect the leaching potential of the examined AR and LV soil groups.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijerph19127187/s1, Figure S1: Locations of the studied soil profiles on the map of Poland; Figure S2: Box and whiskers plots of Sand, Clay, OC, and pH in AR, LV, and LV&CM soil groups; Figure S3: Adsorption isotherms of bentazone in the six selected profiles of mineral soils; Figure S4: Comparison of the mean annual precipitation and temperature of the FOCUS Hamburg and Kremsmünster climates with the Lublin climate; Figure S5: Mean annual temperature and precipitation in Poland; Figure S6: PCA results: (a) The effect of soil properties on PECgw in AR, LV, and LV&CM soil groups in simulations of maize cultivation; (b) The effect of soil properties on PECgw in the AR soil group in simulations of maize cultivation; Figure S7: Comparison of means, standard deviations, and results of ANOVA analyses for the selected soil properties; Figure S8: Relationships between PECgw and Ks, and between PECgw and FC for potato and maize cultivation; Table S1: Basic physical and chemical properties and locations of soils from 30 profiles of AR, LV, and LV&CM soil groups; Table S2: Results of fitting of the Freundlich equation to data from the batch adsorption experiments: Table S3: Soil properties for Hamburg scenario; Table S4: Values of p for Levene’s tests, ANOVA F and post hoc LSD tests, or Kruskal–Wallis and post hoc Dunn’s tests for the selected soil properties; Table S5: Percentiles of OC contents in the AR and LV soil groups according to the database and soil collection of the Institute of Agrophysics of the Polish Academy of Sciences; References [38,39] are cited in the Supplementary Materials.

Author Contributions

Conceptualization, T.P. and C.A.S.; methodology, T.P.; software, T.P.; investigation, T.P.; writing—original draft preparation, T.P. and C.A.S.; writing—review and editing, C.A.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

All relevant data are within the text and the Supplementary Materials.

Acknowledgments

This work was supported by the Faculty of Food Science and Biotechnology of the University of Life Sciences in Lublin as part of grants from the Ministry of Education and Science. The authors are grateful to the Institute of Agrophysics of the Polish Academy of Sciences in Lublin for providing the database and samples of Polish arable soils, and the Institute of Meteorology and Water Management for providing the climate data.

Conflicts of Interest

The authors declare no conflict of interest.

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Figure 1. Values of PECgw predicted during the simulations of: (a) Potato cultivation; (b) Maize cultivation. For SM2, the top and bottom of the error bars denote simulations involving DT50 7.5 d and 5.1 d, respectively, and DDF 1:0.42:0.11. H(L)—data for Hamburg profile and Lublin climate, H(H)—data for Hamburg profile and climate.
Figure 1. Values of PECgw predicted during the simulations of: (a) Potato cultivation; (b) Maize cultivation. For SM2, the top and bottom of the error bars denote simulations involving DT50 7.5 d and 5.1 d, respectively, and DDF 1:0.42:0.11. H(L)—data for Hamburg profile and Lublin climate, H(H)—data for Hamburg profile and climate.
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Figure 2. PCA results: (a) The effect of soil properties on PECgw in the AR, LV, and LV&CM soil groups in SM2 simulations of potato cultivation; (b) The effect of soil properties on PECgw in the AR soil group in SM2 simulations of potato cultivation.
Figure 2. PCA results: (a) The effect of soil properties on PECgw in the AR, LV, and LV&CM soil groups in SM2 simulations of potato cultivation; (b) The effect of soil properties on PECgw in the AR soil group in SM2 simulations of potato cultivation.
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Figure 3. Predicted values of PECgw for potato and maize cultivation in the model of AR profiles with varied OC content and pH for: (a) Lublin and (b) Hamburg climate. Box and whiskers plots denote the values of PECgw estimated for the respective percentiles of OC content at minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum pH values. (c) Percentiles of OC contents and (d) range of pH values of AR profiles.
Figure 3. Predicted values of PECgw for potato and maize cultivation in the model of AR profiles with varied OC content and pH for: (a) Lublin and (b) Hamburg climate. Box and whiskers plots denote the values of PECgw estimated for the respective percentiles of OC content at minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum pH values. (c) Percentiles of OC contents and (d) range of pH values of AR profiles.
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Figure 4. Predicted values of PECgw for potato and maize cultivation in the model of LV profiles with varied OC content and pH for: (a) Lublin and (b) Hamburg climate. Box and whiskers plots denote the values of PECgw estimated for the respective percentiles of OC content at minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum pH values. (c) Percentiles of OC contents and (d) range of pH values of LV profiles.
Figure 4. Predicted values of PECgw for potato and maize cultivation in the model of LV profiles with varied OC content and pH for: (a) Lublin and (b) Hamburg climate. Box and whiskers plots denote the values of PECgw estimated for the respective percentiles of OC content at minimum, first quartile (Q1), median (Q2), third quartile (Q3), and maximum pH values. (c) Percentiles of OC contents and (d) range of pH values of LV profiles.
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Paszko, T.; Spadotto, C.A. Modeling of Bentazone Leaching in Soils with Low Organic Matter Content. Int. J. Environ. Res. Public Health 2022, 19, 7187. https://doi.org/10.3390/ijerph19127187

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Paszko T, Spadotto CA. Modeling of Bentazone Leaching in Soils with Low Organic Matter Content. International Journal of Environmental Research and Public Health. 2022; 19(12):7187. https://doi.org/10.3390/ijerph19127187

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Paszko, Tadeusz, and Claudio A. Spadotto. 2022. "Modeling of Bentazone Leaching in Soils with Low Organic Matter Content" International Journal of Environmental Research and Public Health 19, no. 12: 7187. https://doi.org/10.3390/ijerph19127187

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