Control Points Research Articles

Prevalence of antibiotic resistance genes, heavy metal, and bacterial community composition in sea sediments influenced by Eriocheir sinensis breeding aquaculture.

Eriocheir sinensis is the main aquaculture species in China. With the continuous expansion of the aquaculture scale, the demand for E. sinensis seedlings was also increased. The water used in breeding has well-nourished and its discharge into the sea posed significant risks. This study sampled the wastewater discharge points of the E. sinensis seedlings in Sheyang County, Jiangsu Province, and the areas far from the discharge points that were not affected in March and May 2023, respectively. A large number of antibiotic resistance genes (ARGs) were found in the sediment of the wastewater discharge area, and the highest ARG was sulfonamide ARG-sul1 using qPCR analysis, while ARGs were almost undetectable in the areas not affected by wastewater discharge. The 16S rRNA sequence analysis results showed that the main bacterial phyla at the wastewater discharge point were Bacteroidetes, Proteobacteria, and Thermodesulfobacteria. In the control point, the main bacterial phyla were Proteobacteria, Chlorobacterium, and Thermodesulfobacteria. There were significant differences in the composition of microbial communities between the two points, and the samples at the wastewater discharge point were more clustered and had higher similarity. The correlation network and redundancy analysis indicated that the phyla Bacteroidetes, Firmicutes, and Proteobacteria at the wastewater discharge points were positively correlated with most ARGs. The wastewater discharge had no effect on heavy metals from the two points. This study sets a foundation for future research by identifying key microbial taxa as potential ARG carriers and examining the interactions between microbial communities, ARGs, and heavy metals.

Study on Influencing Factors and Control Points of Design Estimate of Landscaping Engineering

In recent years, China’s landscaping projects have developed vigorously, and the growth rate of urban garden green space areas has been maintained at about 5%. Overall, with the development of the national economy and the support of macro policies, people’s demand for close to nature and beautify the environment is gradually increasing, which has brought new growth momentum for the development of the landscaping industry. Simultaneously, from the perspective of future economic development and urban development, the landscaping industry still has a lot of room for development. However, with the rapid development of landscape engineering, the problem of cost control of landscape engineering is becoming more prominent, the phenomenon of budget overestimation is common, and there are many factors affecting the cost of landscape engineering, which brings difficulties and challenges to the analysis of its influencing factors and cost management. How to scientifically analyze the influencing factors and control the cost has become an important link in the landscaping project. To solve the above problems, this paper takes the design stage of landscaping engineering as the background, takes the design estimate of landscaping engineering as the research object, through literature research and data collection, fully excavates the main influencing factors of the design estimate stage of landscaping engineering, analyzes the key points of cost control, and provides reference ideas and directions for the later cost management and control.

Optimizing algorithm for high-precision imaging stitching systems based on spline surfaces

As optical systems continue to advance, non-uniform rational B-spline (NURBS) surfaces increasingly being considered in asymmetric optical systems due to their localized control characteristics. However, the representation of NURBS surfaces has complicated the analysis of these systems, leading to a significant computational burden. To address this challenge, we propose an optimizing algorithm for imaging optical systems based on high-precision ray tracing of NURBS surfaces. This method initiates with getting a knot grid as prior information, in conjunction with the Newton-Raphson algorithm, to obtain high-precision numerical solutions for the intersection of rays with a NURBS surface. Building upon this methodology, we introduce an optimization technique that includes shape evaluation to generate an evaluation function specific to NURBS surfaces. This approach is then applied within a rapid optimization process that accounted for the region of ray influence. Under consistent control point grids and sampling ray conditions, we present an off-axis four-mirror system to showcase that our algorithm has achieved a computational efficiency improvement of approximately 14 times compared to the previous method. This high-precision imaging design based on spline surfaces fulfills the need for efficient and accurate algorithms for NURBS surface applications in various imaging systems, providing guidance for practical applications.

Herbage biomass predictions from UAV data using a derived digital terrain model and machine learning

AbstractMore than 70% of Switzerland's agricultural area is covered by grasslands that often exhibit highly diverse species compositions and heterogeneous growth patterns. An essential requirement for efficient and effective pasture management is the regular estimation of herbage biomass. While various methods exist for estimating herbage biomass, they are often time‐consuming and may not accurately capture the variability within pastures. This highlights the need for more efficient, accurate estimation techniques. To help improve herbage biomass estimation, we present estiGrass3D+, a Random Forest model. This model predicts pasture biomass using a digital terrain model (DTM) derived from a digital surface model (DSM) for sward height modelling, along with vegetation indices and agronomic variables from UAV images only. The model was successfully evaluated with independent test data from different sites on the Swiss central plateau, including both grazed and mown areas. Model performance on an independent validation dataset achieved a NRMSE of 20.3%, while the training dataset had an NRMSE of 21.5%. These consistent results confirm that estiGrass3D+ is both transferable and applicable to unseen data while maintaining accuracy and reliability across different datasets. The wide applicability of our method demonstrates its practicality for predicting herbage biomass under different pasture management scenarios. Additionally, our method of deriving a DTM directly from a DSM simplifies the measurement of grass sward height by UAVs, eliminating the need for prior ground control point (GCP) marking and subsequent aligning, enhancing the efficiency of herbage biomass estimation.

Accuracy assessment of UAV-based documentation of archaeological site: Kültepe-Kaneš

High quality 2D/3D metric documentation of archaeological sites is used in many different applications such as archaeological-heritage management, digital archaeological excavation planning, orthophotographic documentation, and ancient Digital Surfaces Models (DSM) research. Structure-from-Motion based photogrammetry (SfM) is an indirect geodesic measurement technique based on multiple view image processing using high-level automation techniques. Using SfM to generate the high accuracy 2D/3D data needed for digital documentation of archaeological cultural heritage is relatively practical, economical, and fast. Factors such as the number of ground control points and their distribution to the study area, the robustness of the camera system model parameters, and the analytical model of the photogrammetric triangulation method used affect the accuracy of the data produced using SfM-photogrammetry. Kültepe-Kaneš, the center of the ancient Kingdom of Kaneš, which is located in central-Anatolia, was an Assyrian Trade Colony active between ca. 2000 BC and 1700 BC. The site, which was the center of the Old Assyrian trade colonies in Anatolia and one of the most important sites in ancient history, has been under excavation for the last 75 years. In this paper, high accuracy digital documentation of the Kültepe-Kaneš archaeological excavation area was made using different SfM methods. Statistical analysis revealed no significant difference in accuracy between Real-Time Kinematic (RTK) and Post-Process Kinematic (PPK) methods for the study area. This suggests that either PPK, RTK, or aerial triangulation with Ground Control Points (GCPs) can be employed to generate orthophotos and DSMs for archaeological sites with relatively flat surface areas, as long as a sufficient number of uniformly distributed GCPs are used.

Microbial profiling of oysters from a processing plant and retail products: Analysis based on culture-dependent methods and 16S rRNA gene sequencing

Oysters (Crassostrea gigas) are one of the most consumed shellfish globally. However, there is a lack of comprehensive microbiome studies that include the processing and distribution stages of oysters. The present study used both culture-based methods and 16S rRNA sequencing to produce comprehensive microbial profiles of oysters in two parts: (1) an oyster processing plant that processes raw and frozen oysters (n = 57) and (2) retail oyster products across two seasons (winter and spring) (n = 112). In the processing plant, shucking increased the aerobic plate count (APC) from 1.86 log CFU/g in freshly harvested oysters to 3.95 log CFU/g in shucked oysters. Controlling the washing process is important, as the APCs decreased after washing and remained level until the final products, raw and frozen oysters (2.54 and 2.34 log CFU/g, respectively). After desalting in the frozen oyster plant, the bacterial community shifted to be dominated by the family Spirochaetaceae, Mycoplasma, and Shigella taxa, indicating a need to control problematic bacteria in the desalting process. SourceTracker analysis revealed that raw materials contributed more to the microbiota of final products than environmental samples. In retail oyster products, APCs were marginally higher in spring (3.58 log CFU/g) than in winter (3.05 log CFU/g) samples. While bacterial count differences were not dramatic, the proportions of taxa in the microbial community differed by season. In winter retail products, Photobacterium (27.91 %) and Aliivibrio (20.42 %) dominated, while spring samples showed a diverse distribution of the family Vibrionaceae (19.90 %), Photobacterium (14.20 %), Psychromonas (11.84 %), and Aliivibrio (7.20 %). These findings contributed to our understanding of oyster microorganisms and identified food safety control points and cross-contamination sources. This in-depth understanding is expected to inform the development of fishery and seafood safety management measures.

Dynamic decoupling and compensation based on the inverted network technique and experiment research for multi-axis hydraulic road simulator

This paper presents a dynamic decoupling and compensation approach to eliminate channel interaction for a multi-axis hydraulic road simulator. Misalignment of the concentrated moving mass centroid on the entire test bench with the control point and inconsistencies in actuator dynamics leads to dynamic coupling, which deteriorates the motion performance of the system. To solve the problem, an inverted decoupling and compensation network based on an identification model is proposed. Firstly, the system is modeled using the recursive extended least square (RELS) identification method. In the feedforward compensation modeling process, the steady-state inverse is obtained using zero-magnitude error technology control (ZMETC). In addition, a finite impulse response (FIR) filter with an adaptive algorithm is employed to reduce the adverse impact of the modeling error. The proposed decoupling strategy is validated by conducting experiments using a multi-axis hydraulic road simulator. The experimental results indicate that the designed compensator can effectively decrease the cross-coupling of multi-input and multi-output (MIMO) systems. The suggested approach is also applicable to applications that necessitate the elimination of interactions between different control variables.

Development and Application of a Liquid Sampling Device with Timing, Quantitative and Depth Determination

This thesis describes the development process of a liquid sampling device that can be timed, quantitative, and deep. The structural composition, working principle, and innovative features of the liquid sampling device are introduced, and the application prospects are analyzed. The device has the function of controllable and adjustable sampling point depth and sampling volume, and adopts quantitative collection and collection methods without contact with accessories. The device has a silent function in the sample body, which can realize pre-booking of collection time points and multi-point synchronous collection. Wireless remote control automatic mode is adopted for sending and stopping collection instructions, which can be sent one-to-one or one-to-many at the same time. It provides automation links for water quality monitoring projects and meets the requirements of modern scientific and technological development.

Artificial neural network-based control of powered knee exoskeletons for lifting tasks: design and experimental validation

Abstract This study introduces a hybrid model that utilizes a model-based optimization method to generate training data and an artificial neural network (ANN)-based learning method to offer real-time exoskeleton support in lifting activities. For the model-based optimization method, the torque of the knee exoskeleton and the optimal lifting motion are predicted utilizing a two-dimensional (2D) human–exoskeleton model. The control points for exoskeleton motor current profiles and human joint angle profiles from cubic B-spline interpolation represent the design variables. Minimizing the square of the normalized human joint torque is considered as the cost function. Subsequently, the lifting optimization problem is tackled using a sequential quadratic programming (SQP) algorithm in sparse nonlinear optimizer (SNOPT). For the learning-based approach, the learning-based control model is trained using the general regression neural network (GRNN). The anthropometric parameters of the human subjects and lifting boundary postures are used as input parameters, while the control points for exoskeleton torque are treated as output parameters. Once trained, the learning-based control model can provide exoskeleton assistive torque in real time for lifting tasks. Two test subjects’ joint angles and ground reaction forces (GRFs) comparisons are presented between the experimental and simulation results. Furthermore, the utilization of exoskeletons significantly reduces activations of the four knee extensor and flexor muscles compared to lifting without the exoskeletons for both subjects. Overall, the learning-based control method can generate assistive torque profiles in real time and faster than the model-based optimal control approach.

Salmonella in black pepper (Piper nigrum): From farm to processing

Contamination of black pepper (Piper nigrum) with Salmonella is a frequent problem in retail and imported shipments. However, there is scarce information about the prevalence of the pathogen in the initial stages of black pepper production chain. This study sought to bridge this gap in research by determining the prevalence, as well as quantifying, and identifying the main Salmonella serovars present during black pepper primary production and processing. Black pepper (233) and environmental (175) samples were collected from farms (354) and processing plants (54) in Espirito Santo, Brazil. The pathogen was detected in soil (16.7 %), drying waste (20.4 %), fallen berries (3.7 %), threshed berries (14.3 %), and dried peppercorns (22.2 %) collected from farms. Salmonella was also detected in samples of raw material (11.1 %), export products (16.7 %), and processing waste (16.7 %) collected from processing plants. A total of 12 serotypes were identified, and Salmonella Javiana showed the highest prevalence (38.8 %). According to the results, contamination occurring in the post-harvest phase is not eliminated or reduced during processing. Therefore, the adoption of good agricultural and manufacturing practices, supported by hazard analysis and critical control points (HACCP), is crucial to mitigate this kind of contamination. These practices should be combined with decontamination treatments to ensure the safety of the final product.

SPLINE FUNCTION INTERPOLATION TECHNIQUES FOR GENERATING SMOOTH CURVE

The Present paper deals with a special type of interpolation problem, in which we have prescribed the values of the function at Ki and Ki+1 and the whole interval is divided into n equal sub-intervals of width.. We will derive a spline function of Degree 3 which will be able to interpolate this polynomial function, we name it three point spline (TPS). We have shown here how to change the next control point during further interpolation. We have also discussed the case, of whether this spline can be used for evaluating curvature.

Transcriptome profiling reveals insight into the cold response of perennial ryegrass genotypes with contrasting freezing tolerance

Low freezing tolerance threatens the survival and productivity of perennial ryegrass under northern climate. In this study, we aimed to identify transcriptional changes in plants subjected to low and freezing temperatures as well as to elucidate differences between tolerant and sensitive genotypes. Response to freezing stress was evaluated in a panel of 160 perennial ryegrass genotypes by measuring electrolyte leakage after exposure to -12 °C and -14 °C for 24 h. Two tolerant and two sensitive genotypes were selected for the transcriptome analysis. Crown tissue samples were collected at six treatments: before the start of cold acclimation (control point), at the start of acclimation, after one week of acclimation, after three weeks of acclimation, after freezing at -5 °C and freezing at -10 °C. A total of 11,125 differentially expressed genes (DEGs) were identified in the sensitive and 12,937 DEGs in the tolerant genotypes, when comparing the control vs. each of the acclimation and freezing treatments, as well as the end of acclimation vs. freezing treatments. Among the identified DEGs 3323 were unique to the sensitive genotypes, 5135 were unique to the tolerant genotypes and 7802 were shared. Genes upregulated during cold acclimation and freezing stress were linked to the MAPK signalling pathway, circadian rhythm, starch and sucrose metabolism, plant-pathogen interaction, carbon fixation, alpha-linoleic acid metabolism, carotenoid metabolism, glyoxylate and dicarboxylate metabolism pathways. Downregulated genes were linked to ATP-dependent chromatin remodelling, fatty acid elongation and DNA replication. The downregulation of fatty acid elongation and glutathione metabolism DEGs could indicate that the studied genotypes respond to cold stress in a novel or not yet well-characterized manner.

Failure mechanism of a tunnel in a soil–rock mixture based on a new combined finite–discrete element method

The mechanical properties and failure characteristics of soil–rock mixtures (SRMs) directly affect the stability of tunnels constructed in SRMs. A new SRM modelling method based on the combined finite–discrete element method (FDEM) was proposed. Using this new SRM modelling method based on the FDEM, the mechanical characteristics and failure behaviour of SRM samples under uniaxial compression, as well as the failure mechanism of SRMs around a tunnel, were further investigated. The study results support the following findings: (1) The modelling of SRM samples can be achieved using a heterogeneous rock modelling method based on the Weibull distribution. By adjusting the relevant parameters, such as the soil–rock boundaries, element sizes and modelling control points, SRM models with different rock contents and morphologies can be obtained. (2) The simulation results of uniaxial compression tests of SRM samples with different element sizes and morphologies validate the reliability and robustness of the new modelling method. In addition, with increasing rock content, VBP (volumetric block proportion), the uniaxial compressive strength and Young’s modulus increase exponentially, but the samples all undergo single shear failure within the soil or along the soil–rock interfaces, and the shear failure angles are all close to the theoretical values. (3) Tunnels in SRMs with different rock contents all exhibit X-shaped conjugate shear failure, but the fracture network propagation depth, the maximum displacement around the tunnel, and the failure degree of the tunnel in the SRM roughly decreases via a power function as the rock content increases. In addition, as the rock content increases, such as when VBP = 40%, large rocks have a significant blocking effect on fracture propagation, resulting in an asymmetric fracture network around the tunnel. (4) The comparisons of uniaxial compression and tunnel excavation simulation results with previous theoretical results, laboratory test results, and numerical simulation results verify the correctness of the new modelling method proposed in this paper.

Mobile intrinsic point defects for conductive neutral domain walls in LiNbO3.

Conductive ferroelectric domain walls (DWs) hold great promise for neuromorphic nanoelectronics as they can contribute to realize multi-level diodes and nanoscale memristors. Point defects accumulating at DWs will change the local electrical transport properties. Hence, local, inter-switchable n- and p-type conductivity at DWs can be achieved through point defect population control. Here, we study the impact of point defects on the electronic structure at neutral domain walls in LiNbO3 by density functional theory (DFT). Segregation of Li and O vacancies was found to be energetically favourable at neutral DWs, implying that charge-compensating electrons or holes can give rise to n- or p-type conductivity. Changes in the electronic band gap and defect transition levels are discussed with respect to local property engineering, opening the pathway for reversible tuning between n- and p-type conduction at neutral ferroelectric DWs. Specifically, the high Curie temperature of LiNbO3 and the significant calculated mobility of O and Li vacancies suggest that thermal annealing and applied electric fields can be used experimentally to control point defect populations, and thus enable rewritable pn-junctions.

Isogeometric topology optimization for maximizing band gap of two-dimensional phononic crystal structures

A smooth and efficient isogeometric topology optimization (ITO) method for maximizing band gaps in two-dimensional phononic crystals is developed in the paper. The band gaps of phononic crystals are computed by the NURBS-based isogeometric analysis, and the material distributions of two-dimensional phononic crystals are represented by the smooth, high-order continuity of the NURBS surface. The densities defined at each control point of the NURBS surface are employed as optimized design variables. The isogeometric analysis optimization using the same spline technique for both geometry and numerical analysis can benefit the optimization procedure and obtain smooth optimized structures, which can be easily used in 3D printing. The maximizing band gaps of phononic crystals for both out-of-plane and in-plane wave modes are obtained here using the present ITO approach. Numerical examples validated the effectiveness and reliability of the ITO method in broadening the band gaps and finding the optimal phononic crystals. And the numerical results show that the smooth optimized structures are obtained with fewer iterations.

Assessment of aerosol radioactivity in the atmospheric air of populated areas

Introduction. Due to the tense situation in the world, which may lead to deliberate emergencies at radiation-hazardous facilities as a result of terrorist or sabotage actions, the availability of methods for operational control of radioactive aerosols in the atmospheric air, as well as knowledge of background levels of α- and β-activity of aerosols in the locations of nuclear power facilities, mining and processing facilities The aim of the study was to assess the radioactivity of aerosols in the atmospheric air according to the indices of α- and β-activity (using the example of the cities of Voronezh, Novovoronezh, Pavlovsk, Lipetsk, Stary Oskol). Materials and methods. Atmospheric air sampling was carried out using a flow meter-sampler of PU-5 aerosol mixtures. The α- and β-activity of the surface of the AFA-RSP-20 filters was measured with the MKS-AT1117M dosimeter-radiometer with interchangeable detection units BDPA-01 and BDPB-01. Results. The results of measurements of aerosols α- and β-activity in the atmospheric air in all control points in the territories of populated places established the α-activity of the aerosols to vary from 1.10 • 10–3 to 6.75 • 10–3 Bq/m3, total (total) β-activity – from 3. 49 • 10–3 to 2.12 • 10–2 Bq/m3. The maximum indices values took place at control points near the open-pit mining of the Shkurlatovsky granite deposit (near Pavlovsk, Voronezh region). Limitations. The limitations of the study are related to possible errors of the proposed and tested methodology, single (one-time) measurements, variable meteorological conditions affecting a specific result. Conclusion. The maximum values of aerosols α- and β-activity in the atmospheric air of populated areas are determined by the results of one-time measurements (6.75 • 10–3 Bq/m3 and 2.12 • 10–2 Bq/m3) do not cause concerns for the health of the living population.

Distributed Embedded System for Multiparametric Assessment of Infrastructure Durability Using Electrochemical Techniques.

We present an autonomous system that remotely monitors the state of reinforced concrete structures. This system performs real-time follow-up of the corrosion rate of rebars (iCORR), along with other relevant parameters such as temperature, corrosion potential (ECORR), and electrical resistance of concrete (RE), at many of a structure's control points by using embedded sensors. iCORR is obtained by applying a novel low-stress electrochemical polarization technique to corrosion sensors. The custom electronic system manages the sensor network, consisting of a measurement board per control point connected to a central single-board computer in charge of processing measurement data and uploading results to a server via 4G connection. In this work, we report the results obtained after implementing the sensor system into a reinforced concrete wall, where two well-differentiated representative areas were monitored. The obtained corrosion parameters showed consistent values. Similar conclusions are obtained with ECORR recorded in rebars. With the iCORR follow-up, the corrosion penetration damage diagram is built. This diagram is particularly useful for identifying critical events during the corrosion propagation period and to be able to estimate structures' service life. Hence, the system is presented as a useful tool for the structural maintenance and service life predictions of new structures.

Effect of larval instar and post‐harvest treatments on heavy metals in BSFL and frass reared on commercial food waste streams

SummaryThe use of black soldier fly larvae (BSFL) to valorise different organic waste streams and the subsequent use of resulting larvae as a feedstock ingredient is increasing rapidly in several regions across the globe. The lack of knowledge about several safety issues including chemical contaminants (e.g. heavy metals) seems to affect the upscaling and commercialisation of this product. This study evaluates the safety of the BSFL against chemical contaminants including heavy metals and mycotoxins in both BSFL and frass samples reared with different food waste streams (e.g. soy waste, customised bread‐vegetable diet, food waste mixture, supermarket and childcare centre) from two commercial production facilities. The effect of larval instars and post‐harvest treatments (e.g. blanching and drying) on the safety of the BSFL was also investigated. The concentration of heavy metals was primarily influenced by the concentration in the food waste streams. The concentration was also higher in 6th instar compared to 5th instar larvae. The effect of blanching and drying have a varied effect on the concentration of heavy metals. Mycotoxins were found to be below the limit of quantification for all samples. The outcomes of this study indicated that BSFL grown on food waste streams and the resulting frass is safe against different heavy metals analysed. The findings of this study will assist the commercial BSFL manufacturers with the identification of relevant control points to ensure the chemical safety of their products. Therefore, encourage the use of different food waste streams as feedstock for rearing BSFL.

Assessment of Ground Control Points Positional Shift and Management Practices: Evidences from Assosa Town, Western Ethiopia

This study assesses the positional shift of existing control points and management practices found in and around Assosa town. The static GPS measurement technique was used as an independent source and a point wise method were used to assess the positional shift and accuracy level evaluation. Due to unavailability of local CORS station, two first order GCPs were used as a reference during static GPS measurement. After measurement was conducted depending on the baseline length between control point marks, the STC desktop software and online CSRS-PPP post processing technique was used. Thus, the positional accuracy of selected GCPs of STC Post processing technique has a mean error of 0.324 m and whereas the GCPs of CSRS-PPP has a mean error of 0.571 m. Horizontal distance error obtained with the STC differential technique is ranging from 0 to 0.83 m which is inconsistent relative to the range 0.437 m to 0.815 m obtained from online CSRS-PPP solution. The positional accuracy of GCPs was also assessed using horizontal distance error of both processed techniques. The positional accuracy of GCPs at 95% confidence level is between -0.117 m and 0.765 m with STC and between 0.395 m and 0.747 m in online CSRS-PPP solution. Based on the result, the accuracy level of existing GCPs found in Assosa town, does not meet the FGDC accuracy. This was mainly associated with perception of communities on ground control point management activities. The study revealed almost low communities practice and control point management responsiveness. Finally, study suggested that there should be participatory guidance to establish and manage the ground control points.

Contamination by potentially toxic metals from urban rivers located in an area covered by the Guarani Aquifer in Southern Brazil

The present study aimed to evaluate the concentration of heavy metals considered globally alarming, such as cadmium (Cd), chromium (Cr), copper (Cu), lead (Pb) and zinc (Zn), in the surface water and in the sediment of urban rivers located in an area covered by the Guarani Aquifer, in Lages, southern Brazil. The water and sediment samples were collected in September and October 2016 in three urban rivers. The quantification of the metals was performed through an atomic absorption spectrometer. The levels of Cd, Cr, Cu, Pb and Zn in the control points (P1 and P7) presented a concentration below the level I proposed by Brazilian legislation 344/2004 of the National Environment Council (CONAMA), while the other points presented concentrations higher and above level I, evidencing an increase of metals in the rivers from upstream to downstream of the urban area of ​​Lages. Cr concentrations above level II proposed by Brazilian legislation at the mouth of the Carahá River were also found, and this value may have adverse effects on aquatic biota. The results show that urban rivers in the area covered by the Guarani Aquifer in Lages have been contaminated by toxic elements associated with anthropogenic activities.