The enzyme spermidine/spermine N1-acetyltransferase (SSAT) is a candidate biomarker for various cancers as its activity in cancerous tissues is significantly increased. An artificial molecule, amantadine, is exclusively acetylated by SSAT to acetylamantadine (AcAm), levels of which in urine can serve as a proxy biomarker for malignancy. Current method of AcAm detection is laborious, time-consuming, and lacks the possibility of transforming to a point-of-care device. In this thesis, two different approaches were applied to detect AcAm in deionized water and in human urine using optical methods. The first one was fluorescence-based indicator displacement assay using cucurbit[7]uril as the receptor molecule. The second was programmed gold nanoparticle disaggregation with cucurbit[7]uril as a molecular linker. / Graduate

Este trabalho apresenta os resultados obtidos no desenvolvimento da pesquisa \"Estudo do potencial expansivo dos sedimentos argilosos da Formação Guabirotuba na região do Alto Iguaçu- PR\". Foram realizados ensaios laboratoriais para a caracterização e previsão do comportamento expansivo dos materiais, tais como: Análises granulométricas, Limites de Consistência e demais Índices Físicos, Difração de Raios - X, Análise Térmico Diferencial, Capacidade de Troca de Cátions, além de Expansão Livre e Pressão de Expansão. Para estas investigações foram utilizadas 51 amostras deformadas e 11 blocos de material indeformado. A análise desses ensaios e de informações básicas do meio físico, permitiram a avaliação de áreas que apresentam diferentes potenciais à expansão, permitindo a elaboração da Carta de Predisposição à Ocorrência de Problemas Expansivos. / This work presents the results obtained in the development of the research \"Study of the swell potential of Guabirotuba Formation clayey sediments in the area of Alto Iguaçu - PR\". Laboratorial tests, such as: Grain Size Analysis, Liquid and Plastic Limits and others Index Tests; X-Ray Diffractometry, Differential Thermal Analysis, Cation Exchange Capacity, besides Free Swelling and Axial Swelling Stress, were executed for the characterization and prediction of the studied material swelling behavior. Fifty - one disturbed samples and eleven blocks of undisturbed material were used for these investigations. The analysis of the test results and the basic information of the environment allowed the evaluation of are as that present different swell potentials, and the elaboration of the Chart of Predisposition to the Occurrence of Swell Problems.

O Estado do Tocantins está localizado entre o domínio do Cerrado e da Floresta Amazônica, o que confere ao mesmo uma diversidade climática importante, especialmente no tocante a ocorrência de chuvas. O conhecimento das chuvas intensas permite o planejamento adequado diante da atuação da precipitação na erosão do solo, inundações em áreas rurais e urbanas, obras hidráulicas, dentre outros. Neste contexto, o objetivo deste estudo foi o mapeamento das chuvas intensas no estado do Tocantins, estruturado em três capítulos com objetivos específicos: (1) com base em 10 estações pluviográficas, determinar constantes de desagregação de chuvas intensas para o Estado do Tocantins; (2) promover o mapeamento de chuvas intensas com durações de 5, 10, 20, 30, 40, 50, 60, 120, 180, 240, 360, 720 e 1440 minutos, associadas com as recorrências de 5, 10, 20, 30, 50, 100, 500 e 1000 anos; e (3) mapear a precipitação máxima provável (PMP) para as durações de 10, 20, 30, 40, 50, 60, 120, 180, 240, 360, 720 e 1440 minutos. Para a modelagem da frequência das chuvas intensas de diferentes durações foi empregada a distribuição de probabilidades de Gumbel para 10 estações pluviográficas. Para o mapeamento das chuvas intensas foram aplicadas séries históricas de 95 postos pluviométricos pertencentes à rede hidrometeorológica da Agência Nacional de Água (ANA), disponibilizadas pelo site Hidroweb, localizados no Tocantins e proximidades, considerando o período de 1983 a 2013, aplicando a geoestatística e avaliando os modelos de semivariograma esférico, exponencial e gaussiano. Para o mapeamento da PMP foi adotado o interpolador inverso do quadrado da distância, tendo sido a sua qualidade avaliada pelo procedimento de validação cruzada, a partir do cálculo da tendência (bias) e do erro médio percentual absoluto (EMPA). Na desagregação das chuvas intensas para o Estado do Tocantins, foram obtidas as seguintes constantes: h10min/h30min = 0,46, h20min/h30min = 0,76, h30min/h1h = 0,68, h40min/h1h = 0,83, h50min/h1h = 0,92, h1h/h24h = 0,61, h2h/h24h = 0,72, h3h/h24h = 0,78, h4h/h24h = 0,82, h6h/h24h = 0,86, h12h/h24h = 0,93. Para o mapeamento das chuvas intensas, o modelo que apresentou o menor erro médio obtido por validação cruzada foi aplicado ao processo de mapeamento por krigagem ordinária, tendo sido observado bom desempenho do modelo esférico para precipitação máxima diária anual e do gaussiano para chuvas desagregadas e associadas a um tempo de retorno. As regiões do Bico do Papagaio (extremo norte), Ilha do Bananal (extremo sudoeste) e noroeste, sob ocorrência de clima Amazônico, respondem pelos valores críticos de chuvas intensas no Estado do Tocantins. Para a maior duração de PMP avaliada (24h), encontraram-se lâminas variando de 410,8 a 768,2 mm, enquanto que, para a menor duração avaliada (10’) as lâminas variaram de 62,5 a 104,6 mm, com padrão de distribuição espacial semelhante às chuvas intensas mapeadas. / The State of Tocantins is located between the area of the Cerrado and the Amazon rainforest, which gives the same an important climatic diversity, especially with regard to rainfall. Knowledge of heavy rainfall allows proper planning considering the action of rainfall on soil erosion, floods in rural and urban areas, waterworks, among others. In this context, the objective of this study was the heavy rainfall mapping in the State of Tocantins, divided into three chapters with specific objectives: (1) based on 10 pluviograph stations, to determine disaggregation constants of heavy rainfall for the State of Tocantins; (2) promote heavy rainfall mapping at durations of 5, 10, 20, 30, 40, 50, 60, 120, 180, 240, 360, 720 to 1440 minutes associated with recurrences of 5, 10, 20, 30, 50, 100, 500 and 1000 years; and (3) to map the probable maximum precipitation for the state of Tocantins based on Hershfield methodology for durations of 10, 20, 30, 40, 50, 60, 120, 180, 240, 360, 720 and 1440 minutes. For modeling the frequency of intense rainfalls of different durations, was used the Gumbel distribution of probabilities for 10 pluviograph stations. For the mapping of heavy rainfall were applied historical series of 95 rain gauge stations belonging to the hydrometeorological network of the National Water Agency (NWA), provided by Hidroweb site, located on the Tocantins and nearby, considering the period 1983-2013, applying geostatistics and evaluating models of semivariogram spherical, exponential and gaussian. For the PMP mapping, was adopted the inverse-square-distance interpolator (ISD), being their quality assessed by cross-validation procedure from the calculation of the trend (bias) and the mean absolute percentage error. In the heavy rainfall disaggregation for the State of Tocantins, the constants were obtained: h10min/h30min = 0.46, h20min/h30min = 0.76, h30min/h1h = 0.68, h40min/h1h = 0.83, h50min/h1h = 0.92, h1h/h24h = 0.61, h2h/h24h = 0.72, h3h/h24h = 0.78, h4h/h24h = 0.82, h6h/h24h = 0.86, h12h/h24h = 0.93. For the heavy rainfall mapping, the model had the lowest average error obtained by cross-validation was applied to mapping by ordinary kriging process, having been observed good performance of the spherical model for maximum annual daily rainfall and gaussian to disaggregate and associated rains a return time. The regions of the Bico do Papagaio (north end), Bananal Island (extreme southwest) and northwest, under occurrence of Amazonian climate account for the critical values of heavy rainfall in the State of Tocantins. For longer duration evaluated PMP (24h), met blades ranging from 410.8 - 768.2 mm, while for the lowest measured duration (10') slides ranged from 62.5 - 104.6 mm with spatial distribution pattern similar to heavy rains mapped.

Current SDN controllers have been designed based on a monolithic approach that integrates all of services and applications into one single, huge program. The monolithic design of SDN controllers restricts programmers who build management applications to specific programming interfaces and services that a given SDN controller provides, making application development dependent on the controller, and thereby restricting portability of management applications across controllers. Furthermore, the monolithic approach means an SDN controller must be recompiled whenever a change is made, and does not provide an easy way to add new functionality or scale to handle large networks. To overcome the weaknesses inherent in the monolithic approach, the next generation of SDN controllers must use a distributed, microservice architecture that disaggregates the control plane by dividing the monolithic controller into a set of cooperative microservices. Disaggregation allows a programmer to choose a programming language that is appropriate for each microservice. In this dissertation, we describe steps taken towards disaggregating the SDN control plane, consider potential ways to achieve the goal, and discuss the advantages and disadvantages of each. We propose a distributed architecture that disaggregates controller software into a small controller core and a set of cooperative microservices. In addition, we present a software defined network programming framework called Umbrella that provides a set of abstractions that programmers can use for writing of SDN management applications independent of NB APIs that SDN controllers provide. Finally, we present an intent-based network programming framework called OSDF to provide a high-level policy based API for programming of network devices using SDN. <br>

<p>The purpose of this thesis is to provide a detailed description of recent methods and scientific basis for characterizing earthquake sources within a certain region with distinct tectonic environments. The focus will be on those characteristics that are most significant to the ground-shaking hazard and on how we can incorporate our current knowledge into hazard analyses for engineering design purposes. I treat two particular geographical areas where I think current hazard analysis methods are in need of significant improvement, and suggest some approaches that have proven to be effective in past applications elsewhere. A combined hazard procedure is used to estimate seismicity in <i>northern Central America</i>, where there appear to be four tectonic environments for modeling the seismogenic sources and in <i>Iran</i>, where the large earthquakes usually occur on known faults. A preferred seismic hazard model for northern Central America and the western Caribbean plate based on earthquake catalogs, geodetic measurements, and geological information is presented. I used the widely practiced method of relating seismicity data to geological data to assess the various seismic hazard parameters and test parameter sensitivities. </p><p>The sensitivity and overall uncertainty in peak ground acceleration (PGA) estimates are calculated for northwestern Iran by using a <i>specific randomized blocks design</i>. A Monte Carlo approach is utilized to evaluate the ground motion hazard and its uncertainties in northern Central America. A set of new seismic hazard maps, exhibiting probabilistic values of peak ground acceleration (PGA) with 50%, 10%, and 5% probabilities of exceedance (PE) in 50 years, is presented for the area of relevance. <i>Disaggregation of seismic hazard</i> is carried out for cities of San Salvador and Guatemala by using a spatial distribution of epicenters around these sites to select design ground motion for seismic risk decisions. </p><p>In conclusion, consideration of the effect of parameters such as seismic moment, fault rupture, rupture directivity and stress drop are strongly recommended in estimating the near field ground motions. The rupture process of the 2002 Changureh earthquake (<i>M</i><i>w</i> = 6.5), Iran, was analyzed by using the<i> empirical Green’s function (EGF) method</i>. This method simulates strong ground motions for future large earthquakes at particular sites where no empirical data are available.</p>

La humedad del suelo es la variable que regula los intercambios de agua, energía, y carbono entre la tierra y la atmósfera. Mediciones precisas de humedad son necesarias para una gestión sostenible de los recursos hídricos, para mejorar las predicciones meteorológicas y climáticas, y para la detección y monitorización de sequías e inundaciones. Esta tesis se centra en la medición de la humedad superficial de la Tierra desde el espacio, a escalas global y regional. Estudios teóricos y experimentales han demostrado que la teledetección pasiva de microondas en banda L es optima para la medición de humedad del suelo, debido a que la atmósfera es transparente a estas frecuencias, y a la relación directa de la emisividad del suelo con su contenido de agua. Sin embargo, el uso de la teledetección pasiva en banda L ha sido cuestionado en las últimas décadas, pues para conseguir la resolución temporal y espacial requeridas, un radiómetro convencional necesitaría una gran antena rotatoria, difícil de implementar en un satélite. Actualmente, hay tres principales propuestas para abordar este problema: (i) el uso de un radiómetro de apertura sintética, que es la solución implementada en la misión Soil Moisture and Ocean Salinity (SMOS) de la ESA, en órbita desde noviembre del 2009; (ii) el uso de un radiómetro ligero de grandes dimensiones y un rádar operando en banda L, que es la solución que ha adoptado la misión Soil Moisture Active Passive (SMAP) de la NASA, con lanzamiento previsto en 2014; (iii) el desarrollo de técnicas de desagregación de píxel que permitan mejorar la resolución espacial de las observaciones. La primera parte de la tesis se centra en el estudio del algoritmo de recuperación de humedad del suelo a partir de datos SMOS, que es esencial para obtener estimaciones de humedad con alta precisión. Se analizan diferentes configuraciones con datos simulados, considerando (i) la opción de añadir información a priori de los parámetros que dominan la emisión del suelo en banda L —humedad, rugosidad, temperatura del suelo, albedo y opacidad de la vegetación— con diferentes incertidumbres asociadas, y (ii) el uso de la polarización vertical y horizontal por separado, o del primer parámetro de Stokes. Se propone una configuración de recuperación de humedad óptima para SMOS. La resolución espacial de los radiómetros de SMOS y SMAP (40-50 km) es adecuada para aplicaciones globales, pero limita la aplicación de los datos en estudios regionales, donde se requiere una resolución de 1-10 km. La segunda parte de esta tesis contiene tres novedosas propuestas de mejora de resolución espacial de estos datos: • Se ha desarrollado un algoritmo basado en la deconvolución de los datos SMOS que permite mejorar la resolución espacial de las medidas. Los resultados de su aplicación a datos simulados y a datos obtenidos con un radiómetro aerotransportado muestran que es posible mejorar el producto de resolución espacial y resolución radiométrica de los datos. • Se presenta un algoritmo para mejorar la resolución espacial de las estimaciones de humedad de SMOS utilizando datos MODIS en el visible/infrarrojo. Los resultados de su aplicación a algunas de las primeras imágenes de SMOS indican que la variabilidad espacial de la humedad del suelo se puede capturar a 32, 16 y 8 km. • Un algoritmo basado en detección de cambios para combinar los datos del radiómetro y el rádar de SMAP en un producto de humedad a 10 km ha sido desarrollado y validado utilizando datos simulados y datos experimentales aerotransportados. Este trabajo se ha desarrollado en el marco de las actividades preparatorias de SMOS y SMAP, los dos primeros satélites dedicados a la monitorización de la variación temporal y espacial de la humedad de la Tierra. Los resultados presentados contribuyen a la obtención de estimaciones de humedad del suelo con la precisión y la resolución espacial necesarias para un mejor conocimiento del ciclo del agua y una mejor gestión de los recursos hídricos. / Soil moisture is a key state variable of the Earth's system; it is the main variable that links the Earth's water, energy and carbon cycles. Accurate observations of the Earth's changing soil moisture are needed to achieve sustainable land and water management, and to enhance weather and climate forecasting skill, flood prediction and drought monitoring. This Thesis focuses on measuring the Earth's surface soil moisture from space at global and regional scales. Theoretical and experimental studies have proven that L-band passive remote sensing is optimal for soil moisture sensing due to its all-weather capabilities and the direct relationship between soil emissivity and soil water content under most vegetation covers. However, achieving a temporal and spatial resolution that could satisfy land applications has been a challenge to passive microwave remote sensing in the last decades, since real aperture radiometers would need a large rotating antenna, which is difficult to implement on a spacecraft. Currently, there are three main approaches to solving this problem: (i) the use of an L-band synthetic aperture radiometer, which is the solution implemented in the ESA Soil Moisture and Ocean Salinity (SMOS) mission, launched in November 2009; (ii) the use of a large lightweight radiometer and a radar operating at L-band, which is the solution adopted by the NASA Soil Moisture Active Passive (SMAP) mission, scheduled for launch in 2014; (iii) the development of pixel disaggregation techniques that could enhance the spatial resolution of the radiometric observations. The first part of this work focuses on the analysis of the SMOS soil moisture inversion algorithm, which is crucial to retrieve accurate soil moisture estimations from SMOS measurements. Different retrieval configurations have been examined using simulated SMOS data, considering (i) the option of adding a priori information from parameters dominating the land emission at L-band —soil moisture, roughness, and temperature, vegetation albedo and opacity— with different associated uncertainties and (ii) the use of vertical and horizontal polarizations separately, or the first Stokes parameter. An optimal retrieval configuration for SMOS is suggested. The spatial resolution of SMOS and SMAP radiometers (~ 40-50 km) is adequate for global applications, but is a limiting factor to its application in regional studies, where a resolution of 1-10 km is needed. The second part of this Thesis contains three novel downscaling approaches for SMOS and SMAP: • A deconvolution scheme for the improvement of the spatial resolution of SMOS observations has been developed, and results of its application to simulated SMOS data and airborne field experimental data show that it is feasible to improve the product of the spatial resolution and the radiometric sensitivity of the observations by 49% over land pixels and by 30% over sea pixels. • A downscaling algorithm for improving the spatial resolution of SMOS-derived soil moisture estimates using higher resolution MODIS visible/infrared data is presented. Results of its application to some of the first SMOS images show the spatial variability of SMOS-derived soil moisture observations is effectively captured at the spatial resolutions of 32, 16, and 8 km. • A change detection approach for combining SMAP radar and radiometer observations into a 10 km soil moisture product has been developed and validated using SMAP-like observations and airborne field experimental data. This work has been developed within the preparatory activities of SMOS and SMAP, the two first-ever satellites dedicated to monitoring the temporal and spatial variation on the Earth's soil moisture. The results presented contribute to get the most out of these vital observations, that will further our understanding of the Earth's water cycle, and will lead to a better water resources management.

Modeling and forecasting of the unemployment rate of a country is very important to be able to take precautions on the governmental policies. The available unemployment rate data of Turkey provided by the Turkish Statistical Institute (TURKSTAT) are not in suitable format to have a time series model. The unemployment rate data between 1988 and 2009 create a problem of building a reliable time series model due to the insufficient number and irregular form of observations. The application of disaggregation methods to some parts of the unemployment rate data enables us to fit an appropriate time series model and to have forecasts as a result of the suggested model.

The ability of typical utility meters and advanced meters including sub-circuit metering to disaggregate residential electric loads and determine what appliances a homeowner is using at a given time in investigated. The basics of residential electricity systems, instrumentation options, and characteristics of selected residential loads are presented. This information informs a discussion on present and future disaggregation algorithms. The conclusions highlight the importance of reactive power and current harmonics in determining power consumed and identifying modern electrical devices, and raise concerns related to the ability of typical 15 minute interval utility smart meters to disaggregate loads. / text

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior / The design of hydraulic structures to curb the excessive rain, dams, containment basins, terraces, and others are designed with a rainfall that can define the maximum flow of the construction project, satisfying the desired security and is a project economically rational. The lack of precipitation stations with long historical series (20 years) has led to designers from those used in hydraulic relationships that enable the estimation of rain from the project using data from rain gauge stations with greater availability and longer historical series. This study aimed to establish the relationship between intensity, duration and frequency of maximum rainfall in catchment areas of Rio Grande do Sul, from the breakdown of rain 24 hours in duration and aimed at verifying the adherence of the rainfall data theoretical models of probability distribution, to compare different methods of disaggregation of heavy rainfall with durations less than 24 hours and to analyze the variability of the coefficients of the equations of rainfall of different basins of the state. The performance of different methods of disaggregation (Bell, Pfafstetter, Chen, Hernandez and CETESB) employed in the estimation of maximum rainfall for durations shorter than 24 hours with the use of historical series of rainfall stations in watersheds of the RS were compared with values of relations durations obtained in a study by Beltrame et al (1991) on rainfall in the RS. Performance evaluation of different models of breakdown was performed using the coefficient Willmot that allows the analysis of deviations between the estimated values and those obtained by the relationship of duration with adjusted data pluviograms and thereby indicate the methodology which shows better performance. The results allowed the determination of the equations of rainfall for basins of RS by an alternative approach to traditional methodology which presents great difficulties, due to the scarcity of rain gauge records, the difficulties in its production, the low density of the network and pluviographs the short observation period available combined with a thorough job of tabulating, analyzing and interpreting a large amount of rainfalls. / O projeto de estruturas hidráulicas destinadas à contenção do excesso de chuva, como barragens, bacias de contenção, terraços e outras, são projetadas com uma precipitação que possa definir a vazão máxima de projeto da obra, satisfazendo a segurança desejada e que seja um projeto economicamente racional. A falta de estações pluviográficas com séries históricas (20 anos) tem levado a projetistas daquelas obras hidráulicas a utilizaram relações que permitam a estimativa da chuva de projeto a partir de dados oriundos de pluviômetros com maior disponibilidade de estações e séries históricas mais longas. Este trabalho teve como objetivo geral estabelecer a relação entre intensidade, duração e frequência da precipitação máxima, em bacias hidrográficas do Rio Grande Sul, a partir da desagregação de chuvas de 24 horas de duração e como objetivos específicos verificar a aderência dos dados de chuvas a modelos teóricos de distribuição de probabilidade, comparar diferentes metodologias de desagregação de chuvas intensas com durações menores do que 24 horas e analisar a variabilidade dos coeficientes das equações de chuvas intensas das diferentes bacias hidrográficas do RS. O desempenho das diferentes metodologias de desagregação (Bell, Pfafstetter, Chen, Hernandez e CETESB) empregadas nas estimativas das precipitações máximas de durações menores que 24 horas com o uso de séries históricas em estações pluviométricas das bacias hidrográficas do RS foram comparadas com os valores das relações de durações obtidas num trabalho realizado por Beltrame et al (1991) sobre chuvas intensas no RS. A avaliação do desempenho dos diferentes modelos de desagregação será feita através do coeficiente de Willmot que permite a análise dos desvios entre os valores estimados e os obtidos pelas relações de duração ajustadas com dados de pluviogramas e desse modo indicar a metodologia que apresentou melhor desempenho. Os resultados obtidos permitirão a determinação das equações de chuvas intensas para bacias hidrográficas do RS através uma metodologia alternativa a metodologia tradicional que apresenta grandes dificuldades, em função da escassez de registros pluviográficos, de dificuldades para sua obtenção, da baixa densidade da rede de pluviógrafos e do pequeno período de observação disponível aliados a um exaustivo trabalho de tabulação, análise e interpretação de uma grande quantidade de pluviogramas.

Para tornar uma estrutura hidrÃulica segura e economicamente viÃvel à preciso que seu projeto seja concebido de forma a suportar eventos extremos, mas sempre seguindo a linha tÃnue entre os custos de execuÃÃo e os riscos calculados pelas consequÃncias da obra nÃo suportar os excessos de chuva. A relaÃÃo Intensidade-DuraÃÃo-FrequÃncia (IDF) da chuva à uma das ferramentas mais comumente utilizadas em engenharia de recursos hÃdricos para definir a vazÃo de projeto. As IDF sÃo determinadas atravÃs de dados pluviogrÃficos, porÃm, muitas vezes estes dados sÃo escassos levando a determinaÃÃo de equaÃÃes atravÃs de dados pluviomÃtricos diÃrios desagregados. Dada a escassez de dados pluviogrÃficos e equaÃÃes IDF no Estado do Cearà foi desenvolvido neste trabalho um programa computacional na linguagem Java que sistematizou a metodologia desenvolvida por Fechine Sobrinho (2011) para elaboraÃÃo de equaÃÃes IDF com base no mÃtodo de desagregaÃÃo de chuva atravÃs de isozonas, possibilitando a elaboraÃÃo das equaÃÃes IDF para os 30 municÃpios que compÃe a mesorregiÃo do Cariri cearense. A ferramenta computacional permite a geraÃÃo das equaÃÃes IDF a partir do processamento dos dados obtidos na base de informaÃÃes da FundaÃÃo Cearense de Meteorologia e Recursos HÃdricos â FUNCEME, apresentando grande potencial para o desdobramento das aplicaÃÃes, como à o caso da espacializaÃÃo dos parÃmetros. A sistematizaÃÃo do mÃtodo foi validada comparando os valores obtidos com os valores de equaÃÃes IDF consagradas na literatura e formuladas atravÃs de dados pluviogrÃficos. Foram obtidas correlaÃÃes acima de 95% para as funÃÃes de distribuiÃÃo empregadas e realizada a espacializaÃÃo dos parÃmetros. / In order to design a safe and economically viable hydraulic structure it is necessary to design a project to withstand extreme events, but always following the fine line between execution costs and calculated risks. The Intensity-Duration-Frequency (IDF) relationship of rainfall is one of the most commonly used tools in water resources engineering to define the design outflow. The IDF is determined by rainfall-duration recorded data, however, these data are often scarce, leading to determination of equations using disaggregated daily rainfall data. Due to insufficient data about rainfall-duration and IDF equations in the state of CearÃ, this work developed a computational program in Java which systematized the methodology developed by Fechine Sobrinho (2011) for IDF equations establishment. This methodology was based on the isozone disaggregation of rain method, allowing the establishment of IDF equations for the 30 municipalities of the Cariri region located in the southern state. The computational tool allows the generation of IDF equations from the data obtained in the FundaÃÃo Cearense de Meteorologia e Recursos HÃdricos - FUNCEME, showing great applications, such as the spatial distribution of the parameters. The systematization of the IDF equations establishment through isozone method was validated by comparison of the obtained values with existing equations on the technical literature. Correlations above 95% were obtained for the distribution functions for the employed and performed the spatial parameters