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The Mexican environmental flow standard: scope, application and implementation
MARIA ANTONIETA GOMEZ BALANDRA MARIA DEL PILAR SALDAÑA FABELA MARICELA MARTINEZ JIMENEZ (2014, [Artículo])
With the implementation of the Official Mexican Standard NOM-011-CONAGUA-2000, the water balance of 730 basins has been calculated and its water availability agreement is published. This rule points out to allocate water for the environment only as an annual volume since methods for estimating environmental flows were not standardized in the country. In this paper, an analysis of the environmental flow standard and examples of the suggested hydrological methods are presented. For its implementation, some steps are taking place, mainly establishing environmental water reserves and building capacities. In addition, environmental allocations are becoming a common practice for all water projects, as well as setting limits to hydrological alterations by hydroelectric dams. The standard promotes the use of technical integration tools to analyze the responses of ecosystems to changes in the flow regime and adaptive management under different scenarios of water use. Although the main steps have been taken, its implementation as mandatory rule will take time.
Flujos ambientales Modelos hidrológicos Normas técnicas BIOLOGÍA Y QUÍMICA
Current variability by wave propagation in Todos Santos Bay, Baja California
Variabilidad de corrientes por propagación de ondas en bahía Todos Santos, Baja California, México
EFRAIN MATEOS FARFAN SILVIO GUIDO LORENZO MARINONE MOSCHETTO (2017, [Artículo])
The temperature, velocity, and sea level fields for a summer climatological month (August) were analyzed using tridimensional and baroclinic model outputs in Todos Santos Bay (TSB), Baja California, Mexico. The numerical model was forced with wind (nonstationary), heat flux, and California Current System climatology on the open boundary. The 3- to 5-day current variability is related to a baroclinic wave traveling towards the northwest of the bay. Wave travel periodicity was due to the release of accumulated water from the Ensenada–Punta Banda Estuary (E–PBE) region. Local wind stress causes southeastward water flow and, given the TSB geometry, water accumulates in the E–PBE region. Weakening wind stress was the main cause of water release. In addition, complex empirical ortogonal function analysis found that outer TSB disturbances cause sea level variability.
Ondas subinerciales Modelos matemáticos Bahía Todos Santos CIENCIAS FÍSICO MATEMÁTICAS Y CIENCIAS DE LA TIERRA
Decaimiento del cloro por reacción con el agua en redes de distribución
Velitchko Tzatchkov VICTOR HUGO ALCOCER YAMANAKA Felipe Arreguin (2004, [Artículo])
Se analiza la ecuación cinética de la reacción del cloro residual libre con el agua, separada de la reacción con la pared de las tuberías, con base en muestras tomadas en 64 puntos de la red de agua potable de una ciudad. Se obtiene que la ecuación cinética de primer orden no describe adecuadamente el decaimiento real y, en su lugar, se propone una ecuación cinética de orden mixto, caracterizada por dos parámetros k1 y k2, cuyos valores dependen de la concentración en el inicio de la reacción. Se muestran ecuaciones de regresión que expresan los parámetros k1 y k2 en términos de la concentración inicial para los casos de agua superficial tratada en planta potabilizadora y agua subterránea clorada, válidas para el sitio de medición. El valor de k1 es positivo y disminuye ligeramente con el incremento de la concentración inicial. El valor de k2 es negativo para concentraciones iniciales medianas y altas (mayores de 80 mg/I), y positivo para las concentraciones iniciales menores. La magnitud de k1/k2 muestra una tendencia estable, disminuyendo ligeramente (en valor absoluto) con el incremento de la concentración inicial. La tasa de decaimiento del cloro es marcadamente más alta cuando la concentración inicial es baja. La ecuación cinética obtenida puede ser usada en modelos matemáticos de la calidad del agua en redes de distribución, calibrando los coeficientes k1 y k2 por mediciones de campo similares a las presentadas.
Calidad del agua Redes de agua potable Decaimiento del cloro Modelos matemáticos INGENIERÍA Y TECNOLOGÍA
Algorithmic differentiation of linear mixed models with variance-covariance structures
Fernando Henrique Toledo Jose Crossa Juan Burgueño Keith Gardner Rosa Angela Pacheco Gil (2023, [Objeto de congreso])
CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MATHEMATICAL MODELS ALGORITHMS LINEAR MODELS
Junjie Fu XUECAI ZHANG (2023, [Artículo])
Genomic Prediction Prediction Model Genetic Effects Hybrid Performance CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA MAIZE GENETICS HYBRIDS PERFORMANCE ASSESSMENT
Hari Sankar Nayak C.M. Parihar Shankar Lal Jat ML JAT Ahmed Abdallah (2022, [Artículo])
Non-Linear Growth Model Nitrogen Remobilization Right Placement Precision Nitrogen Management CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA GROWTH MODELS NITROGEN NUTRIENT MANAGEMENT
C.M. Parihar Dipaka Ranjan Sena Prakash Chand Ghasal Shankar Lal Jat Yashpal Singh Saharawat Mahesh Gathala Upendra Singh Hari Sankar Nayak (2024, [Artículo])
Context: Agricultural field experiments are costly and time-consuming, and their site-specific nature limits their ability to capture spatial and temporal variability. This hinders the transfer of crop management information across different locations, impeding effective agricultural decision-making. Further, accurate estimates of the benefits and risks of alternative crop and nutrient management options are crucial for effective decision-making in agriculture. Objective: The objective of this study was to utilize the Crop Environment Resource Synthesis CERES-Wheat model to simulate crop growth, yield, and nitrogen dynamics in a long-term conservation agriculture (CA) based wheat system. The study aimed to calibrate the model using data from a field experiment conducted during the 2019-20-2020-21 growing seasons and evaluation it with independent data from the year 2021–22. Method: Crop simulation models, such as the Crop Environment Resource Synthesis CERES-Wheat (DSSAT v 4.8), may provide valuable insights into crop growth and nitrogen dynamics, enabling decision makers to understand and manage production risk more effectively. Therefore, the present study employed the CERES-Wheat (DSSAT v 4.8) model and calibrated it using field data, including plant phenological phases, leaf area index, aboveground biomass, and grain yield from the 2019-20-2020-21 growing seasons. An independent dataset from the year 2021–22 was used for model evaluation. The model was used to investigate the relationship between growing degree days (GDD), temperature, nitrate and ammonical concentration in soil, and nitrogen uptake by the crop. Additionally, the study explored the impact of contrasting tillage practices and fertilizer nitrogen management options on wheat yields. The experimental site is situated at ICAR-Indian Agricultural Research Institute (IARI), New Delhi, representing Indian Trans-Gangetic Plains Zone (28o 40’N latitude, 77o 11’E longitude and an altitude of 228 m above sea level). The treatments consist of four nitrogen management options, viz., N0 (zero nitrogen), N150 (150 kg N ha−1 through urea), GS (Green seeker based urea application) and USG (urea super granules @150 kg N ha−1) in two contrasting tillage systems, i.e., CA-based zero tillage (ZT) and conventional tillage (CT). Result: The outcomes exhibited favorable agreement between the model’s simulations and the observed data for crop phenology (With less than 2 days variation in 50% onset of flowering), grain and biomass yield (Root mean square error; RMSE 336 kg ha−1 and 649 kg ha−1, respectively), and leaf area index (LAI) (RMSE 0.28 & normalized RMSE; nRMSE 6.69%). The model effectively captured the nitrate-N (NO3−-N) dynamics in the soil profile, exhibiting a remarkable concordance with observed data, as evident from its low RMSE = 12.39 kg ha−1 and nRMSE = 13.69%. Moreover, as it successfully simulated the N balance in the production system, the nitrate leaching and ammonia volatilization pattern as described by the model are highly useful to understand these critical phenomena under both conventional tillage (CT) and CA-based Zero Tillage (ZT) treatments. Conclusion: The study concludes that the DSSAT-CERES-Wheat model has significant potential to assess the impacts of tillage and nitrogen management practices on crop growth, yield, and soil nitrogen dynamics in the western Indo-Gangetic Plains (IGP) region. By providing reliable forecasts within the growing season, this modeling approach can facilitate better planning and more efficient resource management. Future implications: The successful implementation of the DSSAT-CERES-Wheat model in this study highlights its applicability in assessing crop performance and soil dynamics. Future research should focus on expanding the model’s capabilities by reducing its sensitivity to initial soil nitrogen levels to refine its predictions further. Moreover, the model’s integration with decision support systems and real-time data can enhance its usefulness in aiding agricultural decision-making and supporting sustainable crop management practices.
Nitrogen Dynamics Mechanistic Crop Growth Models Crop Simulation CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA NITROGEN CONSERVATION AGRICULTURE WHEAT MAIZE CROP GROWTH RATE SIMULATION MODELS
Vida de un muerto. Entre nuestro universo y el otro
Nicolás Amoroso Boelcke (2023, [Capítulo de libro])
Capítulo número 3 de la Sección Imágenes y representaciones.
Se analiza el film Raymond & Ray, desde la construcción de la vida de Harris, personaje muerto desde el principio del film, y esto se hace mediante las palabras, no con escenas de la infancia que mencionan Raymond y Ray ni tampoco en las acciones que participa con los otros perso¬najes que hablan de él. Harris habita el filme desde las palabras.
Semiotics and motion pictures. Culture--Semiotic models. Dialogue analysis. Semiótica y cine. Análisis del diálogo. NX180.S46 HUMANIDADES Y CIENCIAS DE LA CONDUCTA CIENCIAS DE LAS ARTES Y LAS LETRAS TEORÍA, ANÁLISIS Y CRÍTICA DE LAS BELLAS ARTES CINEMATOGRAFÍA
Calibrated multi-model ensemble seasonal prediction of Bangladesh summer monsoon rainfall
Nachiketa Acharya Carlo Montes Timothy Joseph Krupnik (2023, [Artículo])
Bangladesh summer monsoon rainfall (BSMR), typically from June through September (JJAS), represents the main source of water for multiple sectors. However, its high spatial and interannual variability makes the seasonal prediction of BSMR crucial for building resilience to natural disasters and for food security in a climate-risk-prone country. This study describes the development and implementation of an objective system for the seasonal forecasting of BSMR, recently adopted by the Bangladesh Meteorological Department (BMD). The approach is based on the use of a calibrated multi-model ensemble (CMME) of seven state-of-the-art general circulation models (GCMs) from the North American Multi-Model Ensemble project. The lead-1 (initial conditions of May for forecasting JJAS total rainfall) hindcasts (spanning 1982–2010) and forecasts (spanning 2011–2018) of seasonal total rainfall for the JJAS season from these seven GCMs were used. A canonical correlation analysis (CCA) regression is used to calibrate the raw GCMs outputs against observations, which are then combined with equal weight to generate final CMME predictions. Results show, compared to individual calibrated GCMs and uncalibrated MME, that the CCA-based calibration generates significant improvements over individual raw GCM in terms of the magnitude of systematic errors, Spearman's correlation coefficients, and generalised discrimination scores over most of Bangladesh areas, especially in the northern part of the country. Since October 2019, the BMD has been issuing real-time seasonal rainfall forecasts using this new forecast system.
Multi-Model Ensemble Seasonal Forecasting CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA CLIMATE SERVICES FORECASTING MONSOONS
Lovemore Chipindu Walter Mupangwa Isaiah Nyagumbo Mainassara Zaman-Allah (2023, [Artículo])
Autoregressive Integrated Moving Average Facebook Prophet Hidden Markov Model Regression Regression with Hidden Logistic Process CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA COASTAL AREAS SEMIARID ZONES SUBHUMID ZONES RAINFALL CLIMATE CHANGE