VARIABILIDADE ESPACIAL E CORRELAÇÃO DOS ATRIBUTOS DO SOLO COM PRODUTIVIDADE DO MILHO E DA SOJA

O emprego de técnicas de agricultura de precisão, associadas a análises geoestatísticas, possibilita mapear a variabilidade espacial existente em um campo de produção. O conhecimento da variabilidade é importante ferramenta na tomada de decisões quanto ao manejo da área, uma vez que possibilita que este seja realizado de forma localizada. O estudo foi realizado em um talhão da Fazenda Planalto, localizada no município de Maracaju – MS, com o objetivo de avaliar a variabilidade espacial e correlação entre os atributos químicos e granulométricos do solo e a produtividade do milho e da soja. Foi utilizada uma grade amostral contendo 187 pontos, utilizando-se 10 amostras simples de solo por ponto amostral. Não foi detectado dependência espacial para o cálcio, alumínio, acidez potencial, soma de bases, ferro e zinco. As melhores estimativas em locais não amostrados foram obtidos para a areia e argila. A produtividade da soja apresentou forte dependência espacial e se correlacionou positivamente de forma forte com o fósforo e moderada com o magnésio. Palavras-chave: Latossolo; dependência espacial; Glycine max; Zea mays. Spatial variability and correlation of chemicals and physical soil attributes with corn and soybean yield ABSTRACT: The use of precision farming techniques, associated with geostatistical analysis, makes it possible to map the spatial variability in a production field. The knowledge of variability is an important tool in decision making regarding the management of the area, since it allows it to be carried out in a localized manner. The study was carried out in a plot of Fazenda Planalto, located in the municipality of Maracaju - MS, with the objective of evaluating the spatial variability and correlation between the chemical and granulometric attributes of the soil and the corn and soybeans yield. A sampling grid containing 187 points was used, using 10 simple soil samples per sample point. No spatial dependence was detected for calcium, aluminum, potential acidity, sum of bases, iron and zinc. The best estimates in unsampled locations were obtained for sand and clay. The soybeans yield showed strong spatial dependence and was positively correlated strongly with phosphorus and moderately with magnesium. Keywords: Oxisol; spatial dependence; Glycine max; Zea mays.

Estimation of Total Suspended Sediment Solid in Porong River Waters Using Multitemporal Satellite Imagery

Monitoring the concentration of Total Suspended Solid (TSS) is one method to determine water quality, because a high TSS value indicates a high level of pollution. Remote sensing data can be used effectively in generating suspended sediment concentrations. Nowdays, Google Earth Engine platform has provided a large collection of remote sensing data. Therefore, this study uses Google Earth Engine which is processed for free and aims to calculate the TSS value in the Kali Porong area. This research was conducted multitemporal in the last ten years, namely from 2013-2021 using multitemporal satellite imagery landsat-8 and sentinel-2 by applying empirical algorithms for calculating TSS. The results of this study are the value of TSS concentration at each sample point and a multitemporal TSS concentration distribution map. The year 2016, 2017, and 2021, the distribution of TSS concentration values was higher than in other years. At the sample point, the lowest TSS concentration value was 16.55 mg/L in 2013. Meanwhile, the highest TSS concentration value of 266.33 mg/L occurred in 2014 precisely in the Porong River estuary area which is the border area between land and water. the sea so that a lot of TSS material is concentrated in the area due to waves and ocean currents.

Modelling the effects of optical vibrations on photon beam parameters using ray-tracing software

A method to simulate beam properties observed at the beamline sample-point in the presence of motion of optical components has been developed at Diamond Light Source. A series of stationary ray-tracing simulations are used to model the impact on the beam stability caused by dynamic motion of optical elements. Ray-tracing simulations using SHADOW3 in OASYS, completed over multiple iterations and stitched together, permit the modelling of a pseudo-dynamic beamline. As beamline detectors operating at higher frequencies become more common, beam stability is crucial. Synchrotron ring upgrades to low-emittance lattices require increased stability of beamlines in order to conserve beam brightness. By simulating the change in beam size and position, an estimate of the impact the motion of various components have on stability is possible. The results presented in this paper focus on modelling the physical vibration of optical elements. Multiple beam parameters can be analysed in succession without manual input. The simulation code is described and the initial results obtained are presented. This method can be applied during beamline design and operation for the identification of optical elements that may introduce large errors in the beam properties at the sample-point.

PERGESERAN POSISI DATA SURVEY GPS TIPE GARMIN 78s TERHADAP PETA DASAR NASIONAL DI LOKASI LEMBAR TOPOGRAFI MARTAPURA NOMOR 1712-52

The position displacement in this study is the distance measured from the position on the national base map to the position measured in the field using the Garmin 78s type GPS. This study aims to analyze the magnitude of the position displacement between the Garmin 78s type GPS data against the National Base Map at the Martapura (1712-52) sheet location. The sampling method used was purposive sampling as many as 180 sample points. The analytical method used is descriptive statistical analysis, so that the magnitude of the position displacement to the national base map can be seen through the use of arcGIS software. The distance error is the difference between the coordinates of the database and the coordinates obtained in the field using a Garmin 78s type GPS device. The magnitude of the position displacement is calculated from the coordinates of each sample point. The results showed that there were variations in the magnitude of the position displacement between the database and the different fields at each sample point. The range of the magnitude of the position displacement in distance is generally under 14 meters, while the position displacement of more than 14.00 meters is only 5%, the farthest position displacement is 17.09 meters. The most position displacement from the coordinates of the sample points due to the use of the 78s Garmin GPS, which is less than 2 meters, as much as 32% or as many as 57 samples. The average value of the position displacement in the distance between the Garmin type 78s is 6.20 m and the weighted average value is 7.02 m for the position displacement between the database and the coordinates in the field.Pergeseran posisi dalam penelitian ini merupakan jarak yang diukur dari posisi pada peta dasar nasional terhadap posisi hasil pengukuran dilapangan menggunakan GPS tipe Garmin 78s. Penelitian ini bertujuan untuk menganalisis besarnya jarak pergeseran posisi antara data GPS tipe Garmin 78s terhadap Peta Dasar Nasional pada lokasi lembar Martapura (1712-52). Metode pengambilan sample dilakukan secara putposif (purposive sampling) sebanyak180 titik sampel. Metode analisis yang digunakan adalah analisis statistik deskriptif, agar besarnya jarak pergeseran terhadap peta dasar nasional dapat diketahui melalui pemanfaatan software arcGIS. Jarak pergeseran merupakan perbedaan antara titik koordinat dari database dengan titik koordinat yang didapatkan di lapangan menggunakan alat GPS type Garmin 78s. Besarnya pergeseran dihitung dari koordinat setiap titik sampel. Hasil penelitian menunjukkan adanya variasi besarnya pergeseran posisi antara database dengan lapangan yang berbeda di setiap titik sampel. Rentang besarnya jarak pergeseran umumnya di bawah 14 meter, sedangkan yang lebih dari 14,00 meter pergeserannya hanya 5%, jarak pergeseran terjauh adalah 17,09 meter. Jarak pergeseran yang paling banyak dari koordinat titik sampel akibat penggunaan GPS Garmin tipe 78s yaitu kurang 2 meter sebanyak 32% atau sebanyak 57 sampel. Nilai rata-rata hitung jarak pergeseran GPS Garmin tipe 78s adalah sebesar 6,20 m dan nilai rata-rata terbobot sebesar 7,02 m terhadap jarak pergeseran antara database dengan koordinat dilapangan.

Kajian Sifat Fisika-Kimia Air Bahang dan Indeks Pencemaran di Perairan PLTU Sumbawa Barat

This research examines the physical and chemical properties of the potential contamination of condenser cooling water (heat water) at the 2x7 MW West Sumbawa Steam Power Plant. Method’s this research is direct observation in the field. The determination of the sample point was done by purposive sampling. The results showed that the hot water had met the predetermined quality standards, namely a pH of 8.21, a temperature of 38.50C and a content of free chlorine (Cl2) of 0.03 mg / L. There was an increase in sea water temperature in a radius of 17 meters east and west by 80C from 280C to 360C. Direct discharge of hot water has the potential to pollute the marine prawn environment around the 2x7 MW West Sumbawa PLTU. From the results of the study, it was found that the temperature of the hot water had met the specified quality standard, which was 40oC, but direct disposal caused the sea water temperature to rise, exceeding the set sea water temperature quality standard of 320C and the temperature increase should not be more than 20C from the temperature. at first. The status of sea water quality due to the entry of hot water is determined using a pollution index. From the calculation results obtained PIj of 1.125 at the sample point Outfall 2, meaning that the sea water conditions at a radius of 17 meters are lightly polluted. As a form of control and prevention of pollution due to the entry of high temperature hot water, continuous monitoring is necessary and it is necessary to create a mixing pool between sea water and hot water before the heat is discharged into the sea.

Research on ARKFCM Algorithm Based on Membership Constraint and Bias Field Correction in Neonatal HIE Image Segmentation Method

First, this paper presents the algorithm of adaptively regularized kernel-based fuzzy C-means based on membership constraint (G-ARKFCM). Under the idea of competitive learning based on penalizing opponents, a new membership constraint function penalty item is introduced for each sample point in the segmented image, so that the ARKFCM algorithm is no longer limited to the fuzzy index m = 2. Secondly, the multiplicative intrinsic component optimization (MICO) is introduced into G-ARKFCM to obtain the GM-ARKFCM algorithm, which can correct the bias field when segmenting neonatal HIE images. Compared with other algorithms, the GM-ARKFCM algorithm has better segmentation quality and robustness. The GM-ARKFCM algorithm can more completely segment the neonatal ventricles and surrounding white matter and can retain more information of the original image.

Bayesian Surrogate Learning for Uncertainty Analysis of Coupled Multidisciplinary Systems

Engineering systems are often composed of many subsystems that interact with each other. These subsystems, referred to as disciplines, contain many types of uncertainty and in many cases are feedback-coupled with each other. In designing these complex systems, one needs to assess the stationary behavior of these systems for the sake of stability and reliability. This requires the system level uncertainty analysis of the multidisciplinary systems, which is often computationally intractable. To overcome this issue, techniques have been developed for capturing the stationary behavior of the coupled multidisciplinary systems through available data of individual disciplines. The accuracy and convergence of the existing techniques depend on a large amount of data from all disciplines, which are not available in many practical problems. Toward this, we have developed an adaptive methodology that adds the minimum possible number of samples from individual disciplines to achieve an accurate and reliable uncertainty propagation in coupled multidisciplinary systems. The proposed method models each discipline function via Gaussian process (GP) regression to derive a closed-form policy. This policy sequentially selects a new sample point that results in the highest uncertainty reduction over the distribution of the coupling design variables. The effectiveness of the proposed method is demonstrated in the uncertainty analysis of an aerostructural system and a coupled numerical example.

Effects of Biodegradable Insecticides on Biofilter Bacteria: Implications for Aquaponics

Even though aquaponics is the production system that is increasingly gaining focus, there is an absence of publications studying the use of pesticides in the aquaponics. Therefore, the aim of this study was to assess negative effects of one synthetic (chlorpyrifos) and two botanical insecticides (azadirachtin and pyrethrin) to matured biofilter in plastic buckets. The effectiveness of biofilter bacteria is determined indirectly, as concentrations of ammonia, nitrites and nitrates in the water were measured at 0h, 5h, 13h, 21h, 29h, 37h, 45h and 53h after insecticides application. The results showed negative effects of azadirachtin on the first step of nitrification, as concentration of ammonia was higher comparing to other groups for almost every sample point. Negative effects on second step of nitrification and higher concentrations of nitrites in the water were also detected, but no statistical differences were observed in the present study, due to the large variation between buckets. Nitrates were lower in water treated with azadirachtin from 29 hours from start to the end of the experiment. Application of other two insecticides to biofilter did not cause any effects and showed no difference comparing to the control group.

Analytical procedures for the determination of estrogen compounds in a surface water reservoir in Southeast Brazil

In this study, an analytical methodology was validated to determine and quantify four estrogen hormones using high-performance liquid chromatography (HPLC) with detections by diode array detector (DAD) and by fluorescence detector (FLD). For validation of the method, the following parameters were evaluated: linearity, selectivity, precision, accuracy, limit of detection (LOD), limit of quantification (LOQ) and robustness. Environmental samples were preconcentrated using solid phase extractions and for that, an experimental design was planned to determine the best recovery conditions by varying cartridge types, flow of eluent, pH of the samples, and eluting solvent. Five surface water sampling campaigns were carried out in five different sites of Furnas Reservoir over the months of December 2015 and May 2016. Sample point 1 was located near the sewage treatment plant of the city of Alfenas - MG, while sample point 5 was the most distant from this location. All estrogens, except for E1, were found in all water samples of at least one of the sampling sites. The concentrations of E3, E2 and EE2 ranged from 11-366, 63-422 and 75-9998 ng L-1, respectively. These results are consistent with several studies published in the scientific literature.