Biosolid in the Chemical and Physical Attributes of a Typical Dystrophic Red Latosol

Abstract

This experiment assessed the effects of biosolids in the soil’s chemical and physical characteristics. Soil was mixed to a biosolid in a totally randomized design, within a 5× 4 factorial scheme: five doses of biosolid (0, 60, 120, 180, and 240 m³ ha^-1) and four depths (0-0.10; 0.10-0.20; 0.20-0.30; 0.30-0.40 m). Soil was placed in 50 L-tubs imitating the soil profile. Doses of biosolid were added to the soil and samples were retrieved after 120 days. Biosolid tended towards acidification, with very low P and K rates. Nutrient leaching, such as Mg, increases microporosity and the reduction of soil macroporosity should be considered in high doses of biosolid.

Keywords:
organic fertilization; chemical characteristics; physical characteristics; soil fertility

1. INTRODUCTION AND OBJECTIVES

Population increase has caused great concern and challenges to public and private administrations with regard to the correct disposal of sewage sludge produced in sewerage treatment stations. The material has been treated until recently as an environment liability and discarded in landfills or open land without any follow-up or control. Inadequate disposal of biosolids causes contamination of soil and underground water, with great liabilities for public health and aquatic beings. However, the fact that these residues are rich in organic matter and in nutrients and may be employed as fertilizers and soil conditioners, increasing productivity is well-known. Several research works have been undertaken to prove these effects, especially with regard to the soil’s chemical (Martins et al., 2015; Soares Filho et al., 2015), physical (Bonini et al., 2015), and biological (Andrade et al., 2016) characteristics, depending on the specific culture.

Organic matter in the soil provides greater structural quality (Schimiguel et al., 2014). Richness in organic matter may contribute towards the soil’s structural quality due to stability of aggregates, which depends on the type of soil use and management. In fact, it is mainly affected by texture, mineralogy, quantity, and type of organic matter (Almeida et al., 2014). In other words, it provides greater production of dry matter by crops (Lourenzi et al., 2014).

Changes may occur after a few applications or may be detected after years of application, depending on soil type (Lourenzi et al., 2016). Consequently, results published in the literature have shown the influence or not of wastes in soil characteristics. After 13 annual successive applications of sewerage sludge, Andrade et al. (2014) did not detect rates of trace elements above those allowed by the Conama Resolution 420/2009 in eutrophic and dystrophic red latosol. Similarly, Nascimento et al. (2014) studied the effects of the application of sewerage sludge in Haplic Cambisol and Pereira et al. (2015) proved that sewerage sludge failed to interfere in the activity of soil microorganism. On the other hand, Pires et al. (2015) evidenced an increase in N rates after successive applications of sewage sludge. Vendruscolo et al. (2016) found that the chemical characteristics of degraded soil might be positively affected, in the long run, by sewage sludge, with an increase in P and K availability. The above was also reported by Lourenzi et al. (2016) when testing applications of organic compounds from shavings and liquid swine wastes which enhanced changes in pH and in P, K, Cu, and Zn rates of red latosol.

Our analysis evaluates the influence of biosolids’ chemical and physical attributes in a typical dystrophic red latosol (RLd).

2. MATERIALS AND METHODS

This experiment was performed in the greenhouse of the Faculdade de Agronomia e Zootecnia (FAAZ) of the Universidade Federal de Mato Grosso (UFMT) in Cuiabá, MT, Brazil, at 56° 7’ W; 15° 33’ S; 151.34 m altitude. Greenhouse was built of white shady material and covered with asbestos tiles, without temperature control. Soil was classified as typical dystrophic red latosol (RLd), clayey, as described by the Brazilian Soil Classification System (Embrapa, 2013) and collected on the campus of the Instituto Federal de Mato Grosso (IFMT), at depths 0-0.20 m and 0.20-0.40 m. Samples were then retrieved for the soil’s chemical and physical characterization (Table 1), following the Empresa Brasileira de Pesquisa Agropecuária (Embrapa) (1997).

Table 1
Chemical and physical characterization at different layers of a typical Dystrophic Red Latosol. ̣

Depth	pH	Al	H+Al	Ca+Mg	SB	TpH7.0	true t
(m)	CaCl2		cmolc dm-3
0-0.20	5.47	1.54	2.51	3.10	3.11	5.62	4.65
0.20-0.40	5.54	2.10	2.30	2.10	2.11	4.21	4.41
Depth	P	K	V	m	Clay	Silt	Sand
(m)	mg dm-3		%		g kg-1
0-0.20	0.00	2.46	55	33	435	100	465
0.20-0.40	0.00	2.37	50	52	430	40	525

Biosolid was collected at the compact model Sewage Treatment Station (ETE) from the Núcleo Habitacional Sucuri in Cuiabá, MT, Brazil. Residue came from the ascendant flux anaerobic digestion of sewerage of 245 homes, collected in liquid form and removed in 60 L-barrels. Samples of residue were retrieved for chemical and physical characterization. Five simple samples were used to form compost that was then wrapped in a plastic flask and sent to the laboratory.

The experiment consisted of twenty cylindrical 50 L plastic barrels measuring 0.5 m height and 0.4 m diameter. Soil collected at a depth between 0 and 0.4 m was used for the organization of the barrels which were filled with soil at a depth 0.20-0.40 m (at the bottom), followed by soil collected at depth 0.0-0.20 m to simulate soil profile. Five doses of biosolid in liquid form were directly applied to the soil after filling the barrels. Two applications were done when the barrels were filled with soil and another was done after three months. Characteristics of the biosolid were determined by sampling following methodology by the Brazilian Ministry of Agriculture, Livestock and Supply (Mapa, 1988), given in Table 2.

Table 2
Chemical and physical characterization of biosolid according to analysis for applications 1 and 2.

Characteristic	Unit	1st application	2nd application	Total
pH		7.3	7.3	14.6
Total N	g L-1	4.56	3.65	8.21
N (NH4)		0.62	0.44	1.06
P2O5		0.81	0.69	1.50
K2O		0.039	0.33	0.36
Ca		0.31	0.28	0.59
S		0.12	0.083	0.20
Zn		9.48	2.88	12.36
Cu	mg L-1	2.88	2.75	5.63
Fe		205.98	204.73	410.71
Mn		2.47	1.54	4.01
B		4.18	3.74	7.92
Ni		0.21	0.18	0.39
Pb		< 0.04	< 0.04	--
Cr		< 0.15	< 0.15	--
Cd		< 0.004	< 0.004	--
Density	g cm-3	0.9670	0.8560	1.823

A totally randomized design with a 5 × 4 factorial scheme comprised five doses of biosolid (0, 60, 120, 180, and 240 m³ ha^-1), with assessment of soil characteristics at four depths (0-0.10; 0.10-0.20; 0.20-0.30; 0.30-0.40 m), with three replications. Applied doses corresponded to 0 m³ ha^-1 (0 L of biosolid per barrel); 60 (1.3 L); 120 (2.5 L); 180 (3.7 L); 240 (5.0 L). Irrigation was performed every two days during the experiment, with a 500 mL plastic beaker, during the dry period. When necessary, irrigation during the rainy period was performed at daily intervals greater or smaller than two days so that the field humidity could be maintained.

After 120 days, soil samples were collected at depths 0--0.10; 0.10-0.20; 0.20-0.30; 0.30-0.40 m for the chemical analyses and at depths 0-0.20 and 0.20-0.40 m for the soil’s physical analyses. Samples were then dried, loosed, and analyzed, following the methodology by Embrapa (1997), with the evaluation of the chemical characteristics pH, H+Al, Ca, Mg, K, P, SB, TpH7,0, effective t and V. Physical characteristics analyzed were macroporosity, microporosity, total porosity, density, and dispersed clay in water (DCW). Results underwent analysis of variance and regression, with SAS® (Statistical Analysis System) 9.0.

3. RESULTS AND DISCUSSION

3.1. Changes in the soil’s chemical attributes

3.1.1. pH and H+Al

We found no difference for active acidity (pH) and potential acidity (H+Al) rates of the soil at layers between 0 and 0.40 m, with regard to doses of the biosolid (Figure 1).

Figure 1
pH (H₂O) and H+Al (cmol_c dm^-3) of RLd after biosolid application.

Moreover, pH tended to decrease as dose and soil depth increased, also reported in the study by Santos et al. (2014) on the chemical characteristics of soil layers fertilized by sewage sludge. Since this may be due to the degradation of added organic matter by microorganisms, the biosolid as organic matter tends to acidify the soil. However, fertility was not reduced after two applications.

According to Antunes et al. (2015), nitrification of ammonia N increased the production of ions H⁺ and decreased the soil’s pH. Freitas et al. (2015) also registered acidification when applied organic cattle wastes to the soil. However, the authors insisted that the variable rates remained above the best scale for the plants, even with a slight pH reduction after the application of a higher dose of organic residue. In this case, all treatments were sufficient to neutralize all exchangeable Al, also perceived in our assay.

According to classification by Sousa & Lobato (2004), pH rates in H₂O were classified between adequate and high, which may be due to CO₃ and HCO₃ rates, according to Nascimento et al. (2014). On the other hand, in the case of H+Al rates, trend was an increase in soil depth and biosolid dose. Results are related to the acidifying trend of the residue and to increase in H⁺ rate, as pH analysis revealed.

3.1.2. Ca and Mg

Although there was no difference between Ca contents (Figure 2), an increase trend in doses 120 and 180 m³ ha^-1 was perceived at layers below 0.10 m. Contents above 2.0 cmol_c dm^-3 were reported only for dose 180 m³ ha^-1 at 0.30-0.40 m layer. Consequently, Ca contents varied between low and adequate (Sousa & Lobato, 2004) which were expected due to low Ca content in the residue (Table 2). However, as a rule, the rates above are not adequate for layers used in the production of seedlings since they are insufficient to maintain growth. Consequently, according to use, Ca must be added to the residue.

Figure 2
Ca and Mg contents, (cmol_c dm^-3) in RLd with biosolid application.

Figure 2 shows Mg contents were higher than Ca, reaching 4.0 cmol_c dm^-3, classified between adequate and high. Although this reveals the biosolid is richer in Mg, the contents of the latter changed throughout the soil’s profile, as depth increased, perhaps due to leaching. Result has been reported in all biosolid doses, increasing at doses 120 m³ ha^-1 and 240 m³ ha^-1, where the increase reached 40 cm.

3.1.3. P and K

No difference occurred for P contents (Figure 3) between depth and doses applied. However, rates above 10 mg dm^-3 were reported for the 0-0.10 m layer, with the application of 180 m³ ha^-1 of the biosolid. Since the soil in our experiment featured very low P contents, the results were due to the contents of the element in the biosolid.

Figure 3
P and K (mg dm^-3) contents in RLd with biosolid application.

Maluf et al. (2015) insist results for P may be related to biological, such as microbial immobilization, and/or chemical processes, represented by P precipitation with ion forms, such as Fe, Al, and Ca, and by specific adsorption.

Organically applied P, present in the biosolid composition, may show high resiliency due to the decomposition of the residue’s organic matter and the consequent adsorption of the nutrient to the soil’s mineral phase. Transition causes partial or total unavailability of P for plants (Vendruscolo et al., 2016). This has also been underlined by Martins et al. (2015) in their study on the effect of the application of sewage sludge in soil conditioning. According to these authors, a part of P in the sludge consists in the organic form, and increase in available P occurs, as a rule, a year after the application with mineralization.

K contents (Figure 3) increased according to the applied dose in depth, revealing the leaching of the element as shown in Mg. The highest available contents of K occurred in doses 120 and 180 m³ ha^-1, albeit low according to classification by Sousa & Lobato (2004). In this case, K contents above 2 mg dm^-3 were reported only at layer 0-0.10 m with dose 120 m³ ha^-1 and at layer 0.20-0.30 m with dose 60 m³ ha^-1.

Low K contents may be related to higher Mg contents since they are antagonistic elements. They may also be related to the element’s content in the biosolid (Table 2). When the material is employed as substrate for seedling production, it has to be supplemented with a mineral K source.

3.1.4. SB and TpH 7.0

Average SB (Figure 4) increased up to dose 120 m³ ha^-1 at the 0-0.10 m layer, reaching 6.3 cmol_c dm^-3, with a later decrease at higher doses. Increase was linear at the 0.10-0.20 m layer, probably due to the leaching of K and Mg in the greatest doses of biosolid used when SB is obtained. Similar results have been reported for TpH 7.0 (Figure 4), with the greatest average for dose 240 m³ ha^-1 at the 0.30-0.40 m layer, without any difference in the other layers. Stability was verified for results at dose 0 m³ ha^-1, with an increase at dose 120 m³ ha^-1 as from layer 0.20-0.30 m when dose 240 m³ ha^-1 was applied. In this case, TpH 7.0 is classified as low up to layer 0.20 m and adequate for layers lower than 0.20 mm. These results were mainly affected by contents of Mg through leaching. Results were corroborated by Oliveira et al. (2016) when analyzed the disposal of solid wastes in Humaitá soils and water.

Figure 4
Sum of bases (SB, in cmol_c dm^-3) and total cation exchange capacity (TpH 7.0, in cmol_c dm^-3) in RLd after application of biosolid.

3.1.5. Effective t and V%

Effective t increased up to dose 120 m³ ha^-1 of biosolid due to SB rates. In fact, Al contents were zeroed in all treatments under analysis. Consequently, only the bases were considered when true t was obtained (Figure 5), whereas, at layer 0.30-0.40 cm, increase was linear with regard to biosolid doses due to leaching of bases at high doses of the residue.

Figure 5
Effective cation exchange capacity (effective t, in cmol_c dm^-3) and base saturation (V, in %) in RLd with biosolid application.

Rates of effective t remained lower than 3.0 cmol_c dm^-3 only at dose 0 m³ ha^-1 at layer 0.30-0.40 m and at dose 180 m³ ha^-1 at 0.20-0.30 m. Consequently, the highest rates for effective t were reported at dose 240 m³ ha^-1 at layer 0.30-0.40 m, corroborating results for SB and CTC pH 7.0 and related to Ca, Mg, and K contents in these conditions. Further, Nascimento et al. (2014) state - when one takes into account that SB and V% are directly related to Ca, Mg, and K in the soil - one may note a greater addition content of Ca, Mg, and K in the treatment of limed sewage sludge provided higher SB and V% rates.

V% featured rates lower than 40% only at dose 0 m³ ha^-1 at layer 0.30-0.40 m, where stability existed between rates up to layer 0.20-0.30 m, with a later decrease. V rates increased with regard to depth for dose 60 m³ ha^-1, due to increase of SB and CTC. V decreased in depth when 120 m³ ha^-1 and 180 m³ ha^-1 were applied. However, at dose 240 m³ ha^-1 there was stability between V rates up to 0.30-0.40 m layer. The highest V rates were verified at layer 0.10-0.20 m, at dose 120 m³ ha^-1. Results were obtained with adjustment of quadratic equations due to the variation in base rates because of an increase in the biosolid dose and consequent leaching throughout the soil profile.

3.2. Alterations in the soil’s physical attributes

3.2.1. Macroporosity and microporosity

Although there was no difference in macroporosity (Figure 6) at layer 0-0.20 m, a decreasing trend occurred as biosolid dose increased. A reduction occurred at layer 0.20-0.40 m up to dose 180 m³ ha^-1, with a later increase in the highest biosolid dose. In fact, the biosolid is an organic residue and may enhance effects similar to the soil’s organic matter and increase in its porosity. Consequently, higher rates occurred at layer 0-0.20 m when compared to layer 0.20-0.40 m. Further, Bonini et al. (2015) reported soil macroporosity was affected by the addition of sewage sludge due to an increase of a greater amount of organic matter to the soil.

Figure 6
Macroporosity and microporosity (%) in RLd with biosolid application.

Figure 6 shows increase in microporosity was due to depth and biosolid doses, since macroporosity decreased and the retention capacity in such conditions increased. According to Bonini et al. (2015), microporosity is only slightly affected by soil management. Whereas macroporosity is directly affected by the degradation of soil structure, only slight changes occur in microporosity.

Decrease in macroporosity and increase in microporosity show the soil’s compacting capacity (Oliveira et al., 2015), due to the great volume of micropores which may be an advantage for water retention. However, losses in aeration and gas circulation occur, characterizing compacting and loss of the soil’s physical quality (Rossetti & Centurion, 2013), with negative effects in plant growth.

Thus, to observe the effects of biosolid applications to the soil throughout the period is greatly relevant. Depending on the applied dose, it may cause the emergence of compacted layers below 0.20 m.

3.2.2. Porosity and density

The highest total porosity rate (Figure 7) has been reported at doses 180 and 240 m³ ha^-1, whilst the lowest lay at 60 m³ ha^-1, at layer 0-0.20 m, with adjustment of linear equation at this layer. There was a decrease between layers, with an increasing trend according to biosolid doses.

Figure 7
Total porosity (%) and density (t m^-3) in RLd with application of biosolids.

Total porosity is an important index for the soils’ physical quality. In fact, a greater volume of pores reveals conditions where soil did not undergo deep alterations due to movement and churning pressure (Oliveira et al., 2015). Considering the depths analyzed, similarity between rates indicates the effects of the biosolid were the same at depth 0.40 m. Since there was no sheer reduction of porosity, applications did not affect soil compacting and successive application should be attempted.

We found no sheer changes in density (Figure 7) between layers 0-0.20 m and 0.20-0.40 m. It is thus possible to adjust linear equation for this feature at the surface layer (0-0.20 m). Whereas a greater density was reported at dose 60 m³ ha^-1, reduction occurred in higher doses, perhaps related to a smaller porosity in the treatment. According to Stone et al. (2002), an increase in soil density is due to the reduction of total porosity and macroporosity, without any changes in microporosity.

3.3. Dispersed clay in water (DCW)

Adjustment of the regression equation to DCW rates was impossible (Figure 8) in the case of depth and in the case of doses of the biosolid applied. However, there was a decrease trend when the biosolid dose increased, due to the activity of the residue that acts as an organic matter and increases the soil’s microporosity. DCW rates at deeper layers were similar to those at the surface, indicating a translocation of material, especially at dose 240 m³ ha^-1, in which there was an 81% DCW reduction between layers 0-0.20 m and 0.20-0.40 m.

Figure 8
Dispersed clay in water (DCW) in RLd with application of biosolids.

In fact, biosolid triggered decrease of DCW through an increase of applied doses that, in turn, may directly affect the soil’s compact capacity. According to Santiago et al. (2018), increase in MOS provided a better soil structure, a decrease in DCW, and an increase of flocculation degree.

Several soil physical variables may be changed by the dispersion of clay, such as decrease in infiltration and permeability rates due to the obstruction of pores within the surface layer. Consequently, application of biosolid may be an alternative to increase particle structuring and reducing clay dispersion.

4. CONCLUSIONS

Since biosolids revealed an acidifying trend, further studies on the theme should be undertaken with more than two application of the residue.

K and P contents in the biosolid may be very low and should be supplemented with the elements prior to their employment in seedling production.

High doses of biosolid enhance Mg leaching and increase microporosity.

Biosolid affected the soil’s physical characteristics and increased the substrate’s retention capacity. It may also form layers with high density throughout the soil’s profile Further studies should be undertaken to verify the effects of the application over the years.

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  » https://doi.org/10.4322/rca.2161

Edited by

Associate editor: Marcos Gervásio Pereira 0000-0002-1402-3612

Publication Dates

• Publication in this collection
  06 July 2020
• Date of issue
  2020

History

• Received
  28 June 2018
• Accepted
  24 Nov 2018