ArcGIS Program Research Articles

Risk factors associated with the severity of COVID-19 in a region of the Brazilian Amazon

The Brazilian Northern region registered a high incidence of COVID-19 cases, particularly in the state of Pará. The present study investigated the risk factors associated with the severity of COVID-19 in a Brazilian Amazon region of 100,819 cases. An epidemiological, cross-sectional, analytical and demographic study, analyzing data on confirmed cases for COVID-19 available at the Brazilian Ministry of Health's surveillance platform, was conducted. Variables such as, municipalities of residence, age, gender, signs and symptoms, comorbidities were included and associated with COVID-19 cases and outcomes. The spatial distribution was performed using the ArcGIS program. A total of 100,819 cases were evaluated. Overall, patients had the mean age of 42.3 years, were female (51.2%) and with lethality reaching 4.79% of cases. Main symptoms included fever (66.5%), cough (61.9%) and sore throat (39.8%). Regarding comorbidities, most of the patients presented cardiovascular disease (5.1%) and diabetes (4.2%). Neurological disease increased risk of death by nearly 15 times, followed by obesity (5.16 times) and immunodeficiency (5.09 time). The municipalities with the highest incidence rate were Parauapebas, Canaã dos Carajás and Jacareacanga. Similarity between the Lower Amazon, Marajó and Southwest mesoregions of Pará state were observed concerning the highest morbidity rates. The obtained data demonstrated that the majority of cases occurred among young adults, females, with the classic influenza symptoms and chronic diseases. Finally, data suggest that the highest incidences were no longer in the metropolitan region of the state. The higher lethality rate than in Brazil may be associated with the greater impacts of the disease in this Amazonian population, or factors associated with fragile epidemiological surveillance in the notification of cases of cure.

DETERMINATION OF SINGLE LAYER WALL DEFORMATION BY USING IMAGE PROCESSING TECHNIQUES

Image processing technique has been used frequently in the solution of engineering problems recently. In engineering studies, photographs are taken at certain intervals between the initial state of the material and the state after the change, and changes during the study are observed with the Image processing technique. Based on these photos, the change is transferred to numerical data and the change of the material is observed thanks to these data. Package program systems are used in Image processing technique applications. But these systems are quite expensive systems. In this study, a simpler and feasible system has been developed. The initial sliding test was carried out on 9 single-layer wall systems with natural stones in 20 * 30 * 10 cm dimensions. The displacement values formed on the walls under load during the experiments were measured with the help of potentiometric linear rulers. At the same time, photographs were taken at certain intervals from the baseline to the conclusion of the experiment. The photographs were digitized in the ArcGIS program and the changes on the wall were converted into numerical data. Experimental data and data obtained by photographs were compared. As a result of this comparison, 84% similarity is observed between experimental values and analytical values. It is observed that the image digitization application performed as a result of the study yielded very successful results. In this context, it is believed that the use of this system will be both fast and economically beneficial in larger scale experiments and the number of data.

Determining the Location of The Urban Transport Interchanges Based on the Geographic Information System: the Case Study for Istanbul

Interchange location problem is a problem that depends on different criteria such as population density of the region, transportation facilities, infrastructure services, integration of different transportation modes used in the region. One of the important points to be taken into consideration in the choice of location is the idle areas that the Istanbul Metropolitan Municipality has foreseen. A solution approach that includes the Geographic Information Systems (GIS) method has been proposed in order to determine the most suitable location for the interchanges planned to be carried out in this study. First of all, military lands that could be a interchange places were examined in line with the zoning plan. In line with this review, it was seen that these lands were not enough to integrate with different transportation modes. Locations found by calculating line scores according to constraints were determined by using ArcGIS program. Accordingly, the aim of the study is the arrangement of the interchanges planned to be established in Istanbul by means of GIS and finding the locations of the primary 3 interchanges of top priority in Anatolian part and 3 interchange of top priority in European part.

Concept of Soil Moisture Ratio for Determining the Spatial Distribution of Soil Moisture Using Physiographic Parameters of a Basin and Artificial Neural Networks (ANNs)

The results of investigations on shaping the soil moisture ratio in the mountain basin of the Mątny stream located in the Gorce region, Poland, are presented. A soil moisture ratio was defined as a ratio of soil moisture in a given point in a basin to the one located in a base point located on a watershed. Investigations were carried out, using a TDR device, for 379 measuring points located in an irregular network, in the 0–25 cm soil layer. Values of the soil moisture ratio fluctuated between 0.75 and 1.85. Based on measurements, an artificial neural network (ANN) model of the MLP type was constructed, with nine neurons in the input layer, four neurons in the hidden layer and one neuron in the output layer. Input parameters influencing the soil moisture ratio were chosen based on physiographic parameters: altitude, flow direction, height a.s.l., clay content, land use, exposition, slope shape, soil hydrologic group and place on a slope. The ANN model was generated in the module data mining in the program Statistica 12. Physiographic parameters were generated using a database, digital elevation model and the program ArcGIS. The value of the network learning parameter obtained, 0.722, was satisfactory. Comparison of experimental data with values obtained using the ANN model showed a good fit; the determination coefficient was 0.581. The ANN model showed a minimal tendency to overestimate values. Global network sensitivity analysis showed that the highest influence on the wetness coefficient were provided by the parameters place on slope, exposition, and land use, while the parameters with the lowest influence were slope, clay fraction and hydrological group. The chosen physiographic parameters explained the values of the relative wetness ratio a satisfactory degree.

THE USE OF AHP WITHIN GIS FOR DESTRUCTED AREAS IN DAMASCUS, SYRIA

Abstract. War This is a word that everyone fears as a result of the violence and devastation it leaves, as there have been many wars around the world that have greatly affected the lives of civilians. Infrastructure, homes, hospitals, and other public facilities have been damaged and partially or largely destroyed. Syria is a country in south-western Asia, located near the Mediterranean Sea, between Lebanon and Turkey. Syria is which suffered from war for more than 10 years and still. This is a study on the city of Damascus, the capital of the Syrian Arab Republic, many of its areas were destroyed by this war. throughout the war, more than 55% of the Syrian population in urban areas and rural areas were affected by the massive aerial bombardment and fighting inside towns, cities, and old neighbourhoods. This study aims to identify the most affected areas in the Syrian capital, Damascus, by analysing two satellite images from the satellite Sentinel using a program SNAP and determining the most appropriate areas for reconstruction in Damascus through the AHP analysis method using a program ArcGIS. Where 6 basic criteria were set to carry out the analysis it's elevation, slope, soil, water network, road network, and land use, land cover. The results were classified into five classes in terms of suitability for reconstruction, not suitability, low suitability, moderate suitability, high suitability, very high suitability, and to determine the percentage of each classification.

Spatial distribution of genetic values of Nelore breed in Brazil

This aim of this study was to analyze the influence of socieoconomic, environmental and farm variables on the existing genetic values (Expected Progeny Differences - EPDs) of the different clusters of Nelore animals in Brazil. The data evaluated included EPDs of 1,462,485 animals, males and females born between 2000 to 2011, same period of the compiled variables used (socieoconomic, environmental and farm), distributed in 171 municipality from 15 Brazilian states by GENEPLUS (Genotype Breeding Program of Embrapa Beef Cattle). The municipality averages of sixteen variables were used for weight traits (maternal and direct genetic effects for weight at 120 days, maternal and direct genetic effects at birth and weaning weight, post-yearling weight and average daily gain post-weaning), carcass quality (carcass conformation at weaning, carcass conformation at post-yearling, eye muscle area, subcutaneous fat thickness and marbling) and reproductive traits (scrotal perimeter at weaning, scrotal perimeter at post-yearling, age at first calving and cow weight at weaning) as well as their respective accuracies. The data were spatialized in the ArcGIS program along with environmental factors and human development indicators. The statistics included clustering, discriminant and canonical analyzes using the SAS® program. Three clusters for weight traits, five for carcass quality, four for reproductive traits and five for accuracy were formed. The clusters showed good distribution across the country, highlighting the clusters with highest genetic values for each trait type. Discrimination was seen among environments for beef cattle at pasture, depending on climatic conditions. The spatial distribution of the Nelore cattle breed may provide a better understanding of the real situation of the breed in different Brazilian climates and environments. The results of this study can be used to correct possible errors of genetic selection programs that use the same breeders and females for different environments.

Distribution of hospitals through Baghdad province using Geographic Information System

This research study the distribution of hospitals in the province of Baghdad
 Using geographic information system to focus on the shortage of hospitals in specific regions in comparison with other regions. In the distribution of hospitals in the city of Baghdad using Arc GIS program, we noticed that there is a shortage in the number of hospitals in the city of Kadhimiya, Sadr city and other areas compared to the increase in the population in these areas. There are enough hospitals in the area of Andalus square.

Weed Species Composition of Agrophytocenoses in Altai Krai

The article reviews the weed species composition of oat, sunflower, wheat, buckwheat, rapeseed and flax agrophytocenoses on 390 fields in 21 districts of Altai Krai: Aleyskiy, Bistroistokskiy, Baevskiy, Burlinskiy, Kamenskiy, Kosikhinskiy, Krutikhinskiy, Kytmanovskiy, Loktevskiy, Mamontovskiy, Novichikhinskiy, Pankrushikhinskiy, Rebrikhinskiy, Rubtsovskiy, Shipunovskiy, Sovetskiy, Tretyakovskiy, Troitskiy, Tyumentsevskiy, Zarinskiy, and Zonalniy. The studied fields were surveyed by the route method, which involved the study of the plot by examining it along two diagonals and four sides, when the area did not exceed 20.0 hectares. Larger fields were divided into plots of 20.0 hectares before the survey. The areas adjacent to roads were examined most carefully, since it is often from the road that the field becomes infested. We used the ArcGis program to compile original maps for the main weed plant species. It was found that out of 45 species encountered, only 10 play a significant role in weed infestation and have a high frequency rate: aboriginal Convolvulus arvensis, Amaranthus retroflexus, Euphorbia virgata, Lathyrus tuberosus, Chenopodium album, as well as such adventive species as Fallopia convolvulus, Setaria pumila, Panicum miliaceum subsp. ruderale, Avena fatua and Echinochloa crusgalli. The largest number of species accounts for the Poaceae family (33.3%). The Brassicaceae family is characterized by a slightly lower percentage of participation in the adventitious flora (27.7%). Other families are not so well represented (by 1-2 species each).

Analysis of Sedimentation for The Optimization of Lempake Dam Operations for Flood Control for The City of Samarinda, Province of East Kalimantan

The Lempake Dam currently functions as a dam that provides raw water for irrigation and clean water, besides its indirect functioning as the only flood control dam in the Karangmumus sub-watershed. Current conditions indicate that the Lempake Reservoir has experienced decreased capacity from year to year. At the normal water level, the reservoir capacity of Lempake Reservoir in 2013 was 0.76 million m3 and in 2018 was 0.39 million m3. Therefore, efforts are needed to control reservoir sedimentation and reservoir operations to allow the Lempake Dam to continue to function as a flood control reservoir. This study was carried out by analyzing the volume of sedimentation in the reservoir using the ArcGIS program and analyzing the flood hydrograph at the site by flood routing at the Pasar Segiri River, optimizing reservoir operations, and mapping flood inundation using the RAS Mapping program (HEC-RAS). The results showed that the storage volume in 2020 is predicted to be 0.241 million m3 with an annual sediment rate of 0.074 million m3. From the flood routing analysis and optimization of reservoir operations, the cross-sectional capacity of the river in Pasar Segiri (safe limit elevation +3.30 m) is insufficient for a flood discharge of a return period of more than 2 years (more than 222.14 m3/sec) for Scenario 1, and of more than 5 years (more than 320.48 m3/sec) for Scenario 2

HYDROLOGICAL ANALYSIS OF THE WATERSHED OF AN NAJAF PROVINCE BY GIS

The analysis of the watershed gives the surface area of land that rain streamed arrived in the river. The modern method to analyze the catchment is the ArcGIS program based on the Digital Elevation Model (DEM). The study area is An Najaf province, which area equaled about 27675 square kilometers. The HECGeoHMS (Hydrologic Engineering Center's Hydrologic Modeling System) is the link program on the ArcMap software that abled by serious steps to analyze the specific watershed. The auto analysis of the watershed area gives four basins for each outlet points located on the distributary Euphrates river. These four basins consisted of multi sub-basins and streams of rain flow. Basin 4 has the most significant volume, about 11.4% of the total case area of the basin, and the average slope is 3.2%. According to the amount of accumulative rainwater, basin 4 is essential when any obstruction is constructed at the end of the outlet point in the stream. This location of the construct is used to prevent the sediment in the Euphrates river and to avoid surface soil degradation. The arrangement of importance basin based on the advantage of water using to give maximum discharge and low evaporation is basin four at the first, basin two at the second.

Оценка горизонтальной и вертикальной эрозионной расчлененности водоохранной зоны Цимлянского водохранилища (на примере Дубовского района)

The nature and intensity of erosion processes are an important parameter for monitoring water protection area of water body. A technique, based on field and office studies, which were carried out with the use of unmanned aerial vehicles (UAVs) (Phantom 4 Pro and Phantom 4 Advanced), was worked out and the intensity of the manifestation of erosion processes in the water protection area of the Tsimlyansk reservoir was assessed (on the example of Dubovsky district). In our research, the comparative-geographic method was used. That allowed us very accurately to identify erosional objects on the ground, and to determine their morphological and morphometric characteristics. Cameral works processed the data obtained by using UAVs. The tools of the Agisoft Metashape Professional program and the tools of the ArcGIS program were used during the work. These programs make it possible, without labor-intensive instrumental field research, to draw up orthophotoplans for gullies and determine their areas, steepness of slopes, length and width of slopes, depth of gullies, make longitudinal and transverse profiles of gullies, measure the volume of gullies and a number of other parameters. This method gives us a complete picture of the gullying network within the water protection area. In addition, a comparison of survey materials for different periods makes it possible to identify trends in the development of individual erosional forms, as well as the entire gullying network within the water protection area as a whole.

Modeling the amounts of rain and their environmental effects for some areas of Salah al-Din, using satellite data

The research focuses on the use of satellite images in climate studies, as these visuals reflect the measurement of the amount of rain on the surface of the land cover. This study can also be considered the beginning of the development of climate studies, specifically the local climate and at the site and site levels. The study area is located within the semi-mountainous region with a transitional climate that is characterized by extremism in its climatic elements. The study was able to build a model of precipitation quantities based on the JAXA satellite visuals in the Arc Gis program. This is done by using the GPM model, which is an acronym for Global Perception Measure, which is affiliated with the JAXA satellite, whose function is to measure rain in the world in a format that the Arc Gis program converts to the Raster format. The study led to a statistically test of the model’s accuracy by matching their data with the ground stations. The station’s position was taken and the pixel value on which the station is located was extracted in the designed models. The study reached a very large percentage of data convergence in most of them (99%). This was reflected in the region’s environment in terms of drought, which were tested in models based on satellite visuals such as NDWI Water Cover Models, NDVI Vegetation Index, and CL of Biocortex adopted for extraction on Landsat 8 visuals.

A New Smart Approach for Best Location Determination Based on Internet of Things

Finding the best location among several alternatives require more effort, time, and devices in the usual cases, especially if these locations in another city or governorate. This study pursuit using a smart approach to select the best new primary school site with an accurate result in a short time and low cost. The presented approach utilizes a smartphone as an internet of things (IoT) device that has an internal Global Positioning System (GPS) unit to collect and send the location (GPS coordinates) via Google maps application to urban planners (decision-makers) to give their opinion in each site sent to them after making a spatial analysis for these site using the Arc GIS program to assess every advised site with each criterion. Then, the fuzzy TOPSIS method aggregates urban planners’ opinions to determine the more suitable site for a new primary school. The Fuzzy TOPSIS method was implemented using python code to reduce the time required for manual computation. All the Fuzzy TOPSIS steps executed time does not exceed 1 minute, and it just needs to enter the number of (criteria, decision-makers, and alternative sites). The importance weight of the criteria for each decision-maker and the ratings of alternative sites by the decision-makers’ chosen criteria. So with this smart approach, with a few hours, we can find a more fitting new site, although it took more than a week in the normal way.

The burden of disease and the cost of illness attributable to tuberculosis and HIV/aids associated to massive migration between colombia and venezuela

Aims & objectives: The Venezuelan socio-political crisis has boosted massive exodus of Venezuelan citizens due to the shortage of medicines and spread of some preventable infectious diseases. We aimed to assess the impact of tuberculosis (TB) and HIV burden, health expenditure and the cost of illness under the framework of Colombian-Venezuelan migration flow focused on Norte de Santander, Santander, and La Guajira provinces. Methods: A retrospective study was conducted including TB and HIV data between 2009-2018. A database was made based on the records from the Colombian Surveillance System (SIVIGILA), official reports of the World Health Organization, Indexmundi, Global Health Observatory, IHME HIV Atlas and UNAIDS. Disability metrics in terms of DALYs (Disability Adjusted Life Years) and YLDs (Years Lived with Disability), were compared between both countries. Interactive maps were carried out by using ArcGIS program and the official migration data of Venezuelan citizens. We performed a phylogenetic analysis by retrieving pol sequences based in HIV cases from Venezuela and Colombia by using MEGA X and HIV Alamos database. Results: TB country profiles from Colombia and Venezuela were identical in terms of disease burden in 2017 and 2018. However, the Colombian public health settings reported an increase in the TB incidence above national average (22.1 cases per 100,000 inhabitants) in Santander, Norte de Santander and La Guajira provinces during the last years. Similar situation was observed regarding TB multidrug-resistant, prolonged hospital stays (150 days) and low-testing rates for cases of multidrug-resistant TB (67%) and HIV/AIDS (60%). We identified an underfunding for HIV/AIDS control programs and patient care. Our DALY analysis showed an increased disability in HIV/AIDS patients (362.35 for 2017). Moreover, our phylogenetic analysis shows three defined clusters, which indicate specific linages through specific areas, and shared cluster in the Colombo-Venezuela border. Conclusions: This study suggests that the massive migration and program underfunding in Venezuela might exacerbate the dual burden of TB and HIV in Colombia, especially towards the Colombo-Venezuelan border.

Environmental Risk Assessment in the Masrik River Basin

The purpose of this study is to assess the environmental risks of water pollutionin the Masrik River catchment area. The risk assessment studies are based on the results of thehydrochemical monitoring of the Masrik River Basin water quality in 2012‒2014. The main riskfactors for pollution of the river basin area are mining, agriculture, uncontrolled utility flows.Zoning was performed and areas of zones were calculated using a digital elevation model (DEM)in the ArcGIS software environment and taking into account sampling points and river basins. Atthe same time, the territory was ranked by population density. Then a geodatabase (GDB) wascompiled. GDB presents the point assessments of the state of river waters according to the level ofthe pollutant concentration factor and population density. The thematic layers based on the resultsof the indicators in the ArcGIS program were compiled. A map was obtained according to a pointassessment of environmental risk. An integrated assessment of river water pollution was carriedout in different parts of the basin. The population density and total risk index were calculated. Thethree risk zones were identified in the river basin: high, medium and low. In addition to presentingtheoretical value, the conclusions are also of practical importance and can be used in the developmentof river basin risk management programs, measures for quality management and control ofpollution sources in the aread.

Determination of suitable areas for organic production in Kelkit basin and mapping by geographical information systems

Kelkit Basin contains 17 districts within the boundaries of Tokat, Amasya, Gümüşhane, Giresun, and Sivas provinces. The Basin is located in the Middle Black Sea Region of Anatolia, at 40.9968 North, 30.8491 East, 36.0482 South, and 36.6943 West coordinates. The total area of the basin is 16.244,45 hectares. The altitude of the basin surrounded by high mountains ranged from 200 m (base of the valley) to 1200 m (high plain). The height of the mountains gradually increased from west to east until 2400 m. There is not any major industry establishment limiting the level of organic agriculture in the basin. The main livelihood of the people in the region is agriculture. Our study aimed to determine and mapping the suitable areas for organic agriculture in the basin. For this purpose, land surveys were conducted, point data were collected with GPS and the 1230-point value are calculated. On the calculation of point value, Land Use Capability, land pollution situation, erosion risk groups, and soil groups are used as criteria. In line with the regulation of organic farming practices, in the calculation the amount of pollution; intense agricultural activity, the impact of roads, settlement influence, water resources, the effects of soil pollution, and industrial-mining areas were taken into account. By using these calculated values, maps were created in the program ArcGIS (9.3) by analysis of IDW (Inverse Distance Weighted). According to the generated maps, the organic agricultural potential of the region was put forward.

Integral Transport Accessibility in the Far North of Krasnoyarsk Krai

The article briefly describes the transport system of the Far North of Krasnoyarsk krai and identifies the most important types of transport for the population and functioning of industry in this territory. The areal distribution of the integral transport accessibility indicator for the study area was obtained by the natural neighbor and fuzzy overlay methods in the ESRI ArcGIS program using spatial analyst tools for interpolating the indicator. The resulting indicator combines the characteristics of physical (time) and economic (costs) distances for freight and passenger transport by various modes. A brief description of each of the designated areas of transport accessibility explains the features of how transport functions within its limits. This indicator makes it possible to further study the scale and distribution of transport costs for the development of a number of industries and vital activity of the population in the Far North of Krasnoyarsk krai.

Basics of Atlas Mapping Optimization in the Fergana Valley

Thematic maps reflecting the negative or positive impact of natural and anthropogenic environmental factors on human living conditions are of particular importance in modern world ecological and cartographic research. To optimize the ecological situation in the region, including the river regions and oases of Uzbekistan, such ecological mapping involves the creation of atlases of a systematic collection of analytical and synthetic maps. In the world, environmental mapping gives preference to synchronization methods where specific atlas maps are systematically created by interconnecting environmental characteristics, that is, several maps that interactively interact with their didactic texts in GIS software are deployed on a computer screen at the same time. These research programs ArcGIS, QGIS, and SWAT model software focus on database creation, electronic map visualization, modeling, and analytical mapping.

Bulanık mantık analitik hiyerarşik süreç (BAHS) ile Sinop İli erozyon duyarlılığının mekansal dağılımının belirlenmesi

Dünya nüfusunun artmasıyla arazi üzerindeki baskı artmaktadır. Doğal bir süreç olan erozyon bu artan baskı ile problem haline gelmiştir. Türkiye’de birçok arazi özellikle tarım arazileri erozyon etkisi altında bulunmaktadır. Bu nedenle erozyon etkisini azaltmak için birçok yöntem ve yaklaşımlar geliştirilmiş ve geliştirilmeye devam etmektedir. Bu çalışma ile Bulanık Mantık Analitik Hiyerarşik Süreç (BAHS) yaklaşımı kullanılarak, 586200 ha alan kaplayan Sinop ili arazilerinin erozyon duyarlılık sınıflarının belirlemesi ve haritalanması amaçlanmıştır. Sinop ili Karadeniz Bölgesi’nde yer almaktadır. İlin kuzeyinde Karadeniz, güneydoğusunda Samsun, güneyinde Çorum, batısında Kastamonu illeri bulunmaktadır. Çalışmada erozyon risk sınıfları belirlenirken hem toplam veri seti (TVS) hem de minimum veri seti (MVS) oluşturulmuş ve sonuçları karşılaştırılmıştır. Erozyon sınıfları oluştururken TVS için jeoloji, bitki örtüsü, arazi kullanımı, eğim, derinlik, yağış ve erodobilite parametreleri kullanılmıştır. MVS oluşturulmasında ise temel bileşenler analizi sonucunda, bitki örtüsü, derinlik ve erodobilite parametreleri ele alınmıştır. TVS ve MVS için yapılan sonuç haritasında doğrusal kombinasyon yöntemi uygulanmış ve bu yöntem uygulanırken ArcGIS coğrafi bilgi sistemi programından yararlanılmıştır. Elde edilen sonuçlara göre, TVS’de çalışma alanının % 33’ü yüksek ve çok yüksek, %36’sı ise düşük düzeyde erozyona duyarlı olduğu belirlenirken, MVS’ye göre ise çalışma alanının % 33’ü yüksek ve çok yüksek ve % 35’i düşük erozyona duyarlı olduğu belirlenmiştir. Böylece TVS ve MVS ile elde edilen sonuçların oldukça birbirine yakın değerler gösterdiği tespit edilmiştir. TVS ve MVS ile yapılmış her iki erozyon duyarlılık haritası da, özellikle bitki örtüsünün zayıf ve eğimin yüksek olduğu alanlar ile işlemeli tarımın yapıldığı araziler erozyona çok yüksek duyarlı oldukları görülmektedir.

Vulnerabilidade atual e natural à erosão do solo na sub-bacia hidrográfica do Ribeirão Floresta, no município de Cachoeiro de Itapemirim, Espírito Santo, Brasil

Estudos voltados à erosão dos solos de uma bacia hidrográfica são de extrema importância, principalmente em áreas onde há carência de pesquisas com essa temática, pois auxiliam em diversas tomadas de decisões ambientais. O objetivo deste trabalho foi verificar a erosão atual e potencial na sub-bacia hidrográfica do Ribeirão Floresta (ES), a fim de subsidiar melhorias quanto à conservação dos solos associada a produção econômica. Os procedimentos foram realizados no programa ArcGIS, considerando uma base de dados geográficos. Inicialmente, foi delimitada a sub-bacia. O modelo matemático considerado foi a Equação Universal de Perda de Solos, estimando-se os seguintes dados: erosividade, erodibilidade, comprimento de rampa, declividade e fatores uso e manejo do solo e práticas conservacionistas. Foram estimadas, classificadas e mapeadas as erosões atual e potencial. Quanto à erosão potencial, as classes compreendidas de moderada a muito forte somam 73,98%, sendo um valor muito expressivo. Há maior tendência natural à erosão na porção norte da BHRF, ao passo que, nas regiões central e sul, predominam intensidades menores. Isso pode ser justificado pelas irregularidades do relevo. Quando somadas, as classes compreendidas de “moderada a alta” a “extremamente alta” correspondem a 48,33%. Portanto, quase metade está susceptível à perda de solo atual considerando o uso e manejo do solo e práticas conservacionistas, o que pode ser atribuído às formas de ocupação das terras. As áreas naturalmente menos vulneráveis estão ocupadas por atividades que agravam a ocorrência de erosão, ao passo que as áreas potencialmente mais susceptíveis possuem formas de ocupação capazes de proteger o solo. Há necessidade de um melhor planejamento de ocupação da terra através da integração de comitês e gestores públicos com os moradores da sub-bacia. Espera-se que este trabalho contribua para diversas melhorias acerca da conservação dos solos na região.