Fifteen soil profiles were taken from Ar-Ramtha wastewater treatment plant, 65 km north of Amman. Twelve of them represent soil planted with barley and irrigated with wastewater for the past 2, 5, and 15 years. The remaining three profiles represented a control area that has been only rainfed. Soil samples were collected in four replicates from each depth in each soil profile. Field and laboratory experiments were conducted to study the effect of irrigation with treated wastewater on hydraulic properties of surface and subsurface vertisols. Soil infiltration rate (IR), hydraulic conductivity (HC), and water retention (at 33 kPa and 1.5 MPa) were measured. The application of wastewater for 2, 5, and 15 years reduced soil hydraulic conductivity, whereas the infiltration rate decreased for 2 and 5 years, compared with non-irrigated area. Sites irrigated for 15 years with treated wastewater are characterized by higher percentages of large cracks, therefore revealed the highest infiltration rate. Soil available water changed due to wastewater application in decreasing order of: control (rainfed), 15, 5, 2 years of wastewater application.

The behavior and possible contamination risk due to the presence of potentially harmful metals (PHM) were studied based on 2250 soil samples that were collected in a 5-year period (2013–2017) from the plain of Thessaly (prefectures of Karditsa, Trikala, and Larissa). The vertical distribution of metals was also investigated from sample profiles at three depths 0–30, 30–60, and 60–90cm. The soils of the sampling belong to four taxonomy soil orders that are dominant in the studied area (Alfisols, Inceptisols, Endisols, and Vertisols). In a novel approach, robust quadratic regression analysis on multiple variables was used to define prediction models of the concentrations of two metals: Fe which is an essential metal and the toxic Cd. Linear and quadratic regression formulae were estimated based on the iteratively reweighted least squares robust regression approach in an effort to eliminate the impact of the outliers. These formulae define how several soil properties affect the distribution of the considered metals in each soil order. The evaluation of the estimated regression equations based on the R² metric indicates that they constitute a useful, reliable, and valuable tool for managing, describing, and predicting the pollution in the studied area.

The effects of six phosphate (P) fertilizers in mobilizing and immobilizing water-soluble lead (Pb) were determined in a contaminated soil (Alfisol from Shaoxing) from China and four Australian soils (an Oxisol from Twonsville Queensland and three South Australian soils from Cooke Plains (Typic Palexeralf)), Inman Valley (Vertisol), and Two Wells (Natric Palexeralf). The fertilizers tested were single superphosphate (SSP), triple superphosphate (TSP), monoammonium phosphate (MAP), diammonium phosphate (DAP), monocalcium phosphate (MCP), and dicalcium phosphate (DCP) to produce an initial P concentration of 1,000 mg/L. The Chinese soil contained 16,397 mg/kg total Pb, but the Australian soils were uncontaminated. The four Australian soils were each spiked with 1,000 mg Pb/kg soil (as Pb(NO3)2) and incubated for a month. Single superphosphate treatments decreased total soluble Pb in soil solution to 2-14 % of those of the nil-P (0P) treatment in the four Pb-spiked soils and to 48 % in the Chinese Pb-contaminated soil. The DAP treatment followed by the MAP treatment greatly increased the total soluble Pb in soil solution up to 135-500 % of the 0P treatment, except in the Two Wells soil. MCP could decrease the total soluble Pb in Cooke Plains, Inman Valley, Shaoxing, and Two Wells soils while increase it in the Queensland soil; DCP decreased the total soluble Pb in Cooke Plains and Queensland soils while increased it in the Shaoxing and Inman Valley soils. There were close relationships between the total soluble Pb, total soluble Al, and total soluble Fe in the water extracts of each. Soluble Al and Fe ions in soil solution increased soluble Pb concentrations. We conclude that not all phosphate fertilizers immobilize Pb in soils equally well. SSP and TSP are excellent Pb-immobilizing fertilizers, while MAP and DAP are strong Pb-mobilizing fertilizers. MCP and DCP are either Pb-immobilizing fertilizers or Pb-mobilizing fertilizers depending on their reactions with individual soils. © 2013 Springer Science+Business Media Dordrecht.

Soil nutrient management is a key component contributing to the greenhouse gas (GHG) flux and mitigation potential of agricultural production systems. However, the effect of soil nutrient management practices on GHG flux and global warming potential (GWP) is less understood in agricultural soils of India. The present study was conducted to compare three nutrient management systems practiced for nine consecutive years in a soybean–wheat cropping system in the Vertisols of India, in terms of GHG flux and GWP. The treatments were composed of 100% organic (ONM), 100% inorganic (NPK), and integrated nutrient management (INM) with 50% organic + 50% inorganic inputs. The gas samples for GHGs (CO₂, CH₄, and N₂O) were collected by static chamber method at about 15-day interval during 2012–13 growing season. The change in soil organic carbon (SOC) content was estimated in terms of the changes in SOC stock in the 0–15 cm soil over the 9-year period covering 2004 to 2013. There was a net uptake of CH₄ in all the treatments in both soybean and wheat crop seasons. The cumulative N₂O and CO₂ emissions were in the order of INM > ONM > NPK with significant difference between treatments (p < 0.05) in both the crop seasons. The annual GWP, expressed in terms of CH₄ and N₂O emission, also followed the same trend and was estimated to be 1126, 1002, and 896 kg CO₂ eq ha⁻¹ year⁻¹ under INM, ONM, and NPK treatments, respectively. However, the change in SOC stock was significantly higher under ONM (1250 kg ha⁻¹ year⁻¹) followed by INM (417 kg ha⁻¹ year⁻¹) and least under NPK (198 kg ha⁻¹ year⁻¹) treatment. The wheat equivalent yield was similar under ONM and INM treatments and was significantly lower under NPK treatment. Thus, the GWP per unit grain yield was lower under ONM followed by NPK and INM treatments and varied from 250, 261, and 307 kg CO₂ eq Mg⁻¹ grain yield under ONM, NPK, and INM treatments, respectively.

PURPOSE: Degradation of 2,4-dichlorophenoxyacetic acid (2,4-D) in soils by Fe3O4 nanoparticles combined with soil indigenous microbes was investigated, and the effects of Fe3O4 nanoparticles on soil microbial populations and enzyme activities were also studied. METHODS: The soils contaminated with 2,4-D were treated with Fe3O4 nanoparticles. The microbial populations and enzyme activities were analyzed by dilution plate method and chemical assay, respectively, and the concentration of 2,4-D in soil was determined by high-performance liquid chromatography (HPLC). RESULTS: The results indicated that Fe3O4 nanoparticles combined with soil indigenous microbes led to a higher degradation efficiency of 2,4-D than the treatments with Fe3O4 nanoparticles or indigenous microbes alone. The degradation of 2,4-D in soils followed the pseudo first-order kinetic. The half-lives of 2,4-D degradation (DT50) of the combined treatments were 0.9, 1.9 and 3.1 days in a Red soil, Vertisol and Alfisol, respectively, which implied that the DT50 of the combination treatments were significantly shorter than that of the treatments Fe3O4 nanoparticles or indigenous microbes alone. The effects of Fe3O4 nanoparticles on soil microbial populations and enzyme activities were also investigated and compared with the α-Fe2O3 nanoparticles. The results suggested that the α-Fe2O3 nanoparticles had only comparatively small effects on degradation of 2,4-D in soils, while the Fe3O4 nanoparticles not only degraded 2,4-D in soils but also increased the soil microbial populations and enzyme activities; the maximum increase in enzyme activities were 67.8% (amylase), 53.8% (acid phosphatase), 26.5% (catalase) and 38.0% (urease), compared with the untreated soil. Moreover, the introduction of Fe3O4 nanoparticles at the different dosage resulted in a variable degradation efficiency of 2,4-D in soil. CONCLUSION: The method of combining Fe3O4 nanoparticles with indigenous soil microbes may offer great benefits for the application of nanotechnology in remediation of herbicide contaminated soil.

Unbalanced fertilization lacking nitrogen (N), phosphorus (P), or potassium (K) is a worldwide phenomenon; however, whether they affect bacterial community composition and intraspecific interactions in a similar pattern and how they affect bacterial activity are not systematically compared. Soils under different kinds of unbalanced fertilization in a 21-year field experiment were collected to investigate the variation in dehydrogenase activity (DHA), bacterial community diversity, structure, composition, and possible interactions. Compared to the balanced fertilization of NPK, the DHA from unbalanced fertilization of NP, PK, and NK was 8.70, 11.59, and 14.17% lower, respectively, and from the unfertilized treatment (Nil) was 13.41% lower; however, the Shannon index from NP, PK, and Nil was 4.48–7.21% higher and from NK was 3.95% lower. Based on principal coordinate analyses (PCoA), bacterial community structure was separated by N application or not along PCo1 and was further separated by P application or not along PCo2, indicating a more influence by N deficiency. Moreover, the structure was mainly determined by soil pH, soil organic carbon (SOC), and total phosphorus (TP). The network complexity using co-occurrence analysis followed the order NP > NPK > PK > NK > Nil, indicating a more influence by P deficiency on intraspecific interactions. Structural equation modeling (SEM) revealed that the reduced DHA in NP was mainly regulated by the decreased SOC and increased Shannon index, in PK by the decreased SOC and increased Shannon index and pH, and in NK by the decreased SOC and TP and increased PCo2. The significantly lower abundance of Bacteroidetes and Chitinophagaceae in NK may also contribute to the reduced DHA. Our results imply that N deficiency had the greatest impact on bacterial community structure and composition, P deficiency had the greatest impact on network construction and bacterial activity, and K deficiency has minimal effect. Our results also suggest that main factors regulating the variation in soil functions may vary among different nutrient deficiencies.