LIVIVO - The Search Portal for Life Sciences

zur deutschen Oberfläche wechseln
Advanced search

Search results

Result 1 - 10 of total 27

Search options

  1. Book ; Online: Integrated drought management

    Singh, Vijay P. / Jhajharia, Deepak / Mirabbasi, Rasoul / Kumar, Rohitashw

    2024  

    Abstract: The first volume of this comprehensive global perspective on Integrated Drought Management is focused on understanding drought, causes, and the assessment of drought impacts. It explains different types of drought: agricultural, meteorological, ... ...

    Author's details edited by Vijay P. Singh, Deepak Jhajharia, Rasoul Mirabbasi, Rohitashw Kumar
    Abstract "The first volume of this comprehensive global perspective on Integrated Drought Management is focused on understanding drought, causes, and the assessment of drought impacts. It explains different types of drought: agricultural, meteorological, hydrological, and socio-economic droughts, their indices and the impact of climate change on drought. The volume also examines spatio-temporal analysis of drought, variability and patterns, assessment, and drought evaluation. With numerous case studies from India, Mexico, Turkey, Brazil, US, and other countries, this volume serves as a valuable resource for all readers who want to advance their knowledge on drought and risk management"--
    Keywords Droughts ; Drought management ; Drought forecasting ; Climatic changes ; Meteorology, Agricultural
    Subject code 363.34/9295
    Language English
    Size 2 Online-Ressourcen
    Edition First edition
    Publisher CRC Press
    Publishing place Boca Raton
    Publishing country United States
    Document type Book ; Online
    Note Includes bibliographical references and indexes
    HBZ-ID HT030340985
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  2. Book ; Online ; E-Book: Handbook of conservation agriculture / v. 1

    Kumar, Rohitashw / Singh, Vijay P. / Jhajharia, Deepak / Mirabbasi, Rasoul

    2020  

    Author's details edited by Rohitashw Kumar, Vijay P. Singh, Deepak Jhajharia, and Rasoul Mirabbasi
    Collection Handbook of conservation agriculture
    Keywords Landwirtschaft ; Klimaänderung
    Subject Agrarwirtschaft ; Agrarsektor ; Landwirtschaftlicher Sektor ; Klima ; Klimawandel ; Klimaveränderung ; Klimawechsel
    Language English
    Size 1 Online-Ressource (xviii, 303 Seiten), Illustrationen
    Publisher CRC Press
    Publishing place Boca Raton ; London ; New York
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020338408
    ISBN 9781000700008 ; 978-0-429-32634-9 ; 9780367345235 ; 1000700003 ; 0-429-32634-3 ; 0367345234
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  3. Book ; Online ; E-Book: Handbook of conservation agriculture / v. 2

    Kumar, Rohitashw / Singh, Vijay P. / Jhajharia, Deepak / Mirabbasi, Rasoul

    2020  

    Author's details edited by Rohitashw Kumar, Vijay P. Singh, Deepak Jhajharia, and Rasoul Mirabbasi
    Collection Handbook of conservation agriculture
    Keywords Landwirtschaft ; Klimaänderung
    Subject Klima ; Klimawandel ; Klimaveränderung ; Klimawechsel ; Agrarwirtschaft ; Agrarsektor ; Landwirtschaftlicher Sektor
    Language English
    Size 1 Online-Ressource (xviii, 281 Seiten), Illustrationen
    Publisher CRC Press
    Publishing place Boca Raton ; London ; New York
    Publishing country United States
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020338424
    ISBN 9781000700015 ; 978-0-429-32640-0 ; 9780367345297 ; 1000700011 ; 0-429-32640-8 ; 0367345293
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Full text online

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  4. Book ; Online: Handbook of conservation agriculture

    Kumar, Rohitashw / Singh, Vijay P. / Jhajharia, Deepak / Mirabbasi, Rasoul

    2020  

    Author's details edited by Rohitashw Kumar, Vijay P. Singh, Deepak Jhajharia, and Rasoul Mirabbasi
    Language English
    Dates of publication 2020-9999
    Size 2 Bände
    Publisher CRC Press
    Publishing place Boca Raton ; London ; New York
    Publishing country United States
    Document type Book ; Online
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    HBZ-ID HT020340126
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

    Kategorien

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

  5. Article ; Online: Investigating the variation pattern and erosivity power of precipitation in the Sindh river basin of India during last 120 years

    Ahmadi, Farshad / Mirabbasi, Rasoul / Gajbhiye, Sarita / Kumar, Rohitashw

    Stoch Environ Res Risk Assess. 2022 Oct., v. 36, no. 10 p.3265-3279

    2022  

    Abstract: In recent years, due to global warming, precipitation fluctuations in different areas have increased and it is a burning researchable issue. Therefore, in the present study, the trend and abrupt changes of precipitation time series in Sindh river basin, ... ...

    Abstract In recent years, due to global warming, precipitation fluctuations in different areas have increased and it is a burning researchable issue. Therefore, in the present study, the trend and abrupt changes of precipitation time series in Sindh river basin, India was investigated using the modified Mann–Kendall tests, Pettitt test and the precipitation concentration index (PCI) during the period 1901–2020. In addition, the erosivity power of precipitation is analyzed using the modified Fourier index. The results of the Pettitt test showed that the significant abrupt change occurred in 37 series out of 136 studied series in monthly, seasonal and annual time scales. Among these, 67% of the occurred shifts were negative and the remaining 33% were upward. Also, the highest number of failure points was detected in 1941. Therefore, the study period is divided into two sub-periods: baseline (1901–1941) and variation (1941–2020) and further analysis were performed on these two sub-periods. The results of MMK test showed that, there was no significant increasing trend in precipitation over the basic period, and a non-significant increasing trend was found in 64% of the investigated series. But on the other hand, in the variation period, the precipitation trend was decreasing at 74% of the studied series. According to the PCI index, the precipitation distribution in all studied stations on an annual scale was classified in a very irregular class and the irregularity was increased during the variation period. Due to the increase in precipitation irregularities, the values of MFI index have increased in the variation period.
    Keywords risk ; time series analysis ; watersheds ; India
    Language English
    Dates of publication 2022-10
    Size p. 3265-3279.
    Publishing place Springer Berlin Heidelberg
    Document type Article ; Online
    ZDB-ID 1481263-0
    ISSN 1436-3259 ; 1435-151X ; 1436-3240 ; 0931-1955
    ISSN (online) 1436-3259 ; 1435-151X
    ISSN 1436-3240 ; 0931-1955
    DOI 10.1007/s00477-022-02193-3
    Database NAL-Catalogue (AGRICOLA)

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  6. Article ; Online: Application of copula-based and ARCH-based models in storm prediction

    Ramezani, Yousef / Nazeri Tahroudi, Mohammad / De Michele, Carlo / Mirabbasi, Rasoul

    Theor Appl Climatol. 2023 Feb., v. 151, no. 3-4 p.1239-1255

    2023  

    Abstract: In this study, Vector Autoregressive-Generalized Autoregressive Conditional Heteroskedasticity (VAR-GARCH), copula, and copula-GARCH models were used for joint frequency analysis of storms in the Aras river basin in northwestern Iran in period of 1998– ... ...

    Abstract In this study, Vector Autoregressive-Generalized Autoregressive Conditional Heteroskedasticity (VAR-GARCH), copula, and copula-GARCH models were used for joint frequency analysis of storms in the Aras river basin in northwestern Iran in period of 1998–2018. The heteroskedasticity in the series was considered using the vector autoregressive model. Two-dimensional copulas were also used for bivariate analysis. After confirming the correlation between the pair variables of storm with one event lag (S1) and storm with no lag (S0), bivariate frequency analysis was performed. In the simulation step, the residual series of the VAR model was extracted and fitted to the GARCH model. Then, the residual series of the GARCH model was modeled using the copula model. Finally, storm with no lag (S0) affected by storm with one event lag (S1) was simulated by VAR-GARCH, copula, and copula-GARCH models. According to the coefficient of determination (R²) and Nash–Sutcliffe Efficiency coefficient (NSE) and root mean square error (RMSE), the VAR-GARCH model had higher accuracy than copula and copula-GARCH models. The RMSE in the simulation of storm height using the VAR-GARCH model was estimated to be 18% and 11% less than copula and copula-GARCH models, respectively. The VAR-GARCH model provided higher accuracy in the simulations due to the consideration of different lags in the simulations and modeling the variance of the residual series. According to the Taylor diagram, the certainty of all three models in simulating storm height are acceptable. Finally, by two-dimensional analysis of pair variables of storm height and storm duration, typical curve was produced that can estimate the storm duration with different probabilities. In fact, having the storm information that has happened in the present can accurately predict the next storm information. It can be very useful in flood management and the generated curves can be used as a flood warning system in the basin.
    Keywords basins ; bivariate analysis ; flood control ; heteroskedasticity ; models ; prediction ; storms ; variance ; watersheds ; Iran
    Language English
    Dates of publication 2023-02
    Size p. 1239-1255.
    Publishing place Springer Vienna
    Document type Article ; Online
    ZDB-ID 1463177-5
    ISSN 1434-4483 ; 0177-798X
    ISSN (online) 1434-4483
    ISSN 0177-798X
    DOI 10.1007/s00704-022-04333-9
    Database NAL-Catalogue (AGRICOLA)

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  7. Article: Evaluation of FAO’s WaPOR product in estimating the reference evapotranspiration for stream flow modeling

    Geshnigani, Fatemeh Sohrabi / Mirabbasi, Rasoul / Golabi, Mohammad Reza

    Theoretical and applied climatology. 2021 Apr., v. 144, no. 1-2

    2021  

    Abstract: The evapotranspiration is a key factor in the modeling of water supply, rainfall-runoff process, crop water demand, and drought. In the present study, the reference evapotranspiration (RET) data obtained from the FAO’s WaPOR product (FWP) are compared ... ...

    Abstract The evapotranspiration is a key factor in the modeling of water supply, rainfall-runoff process, crop water demand, and drought. In the present study, the reference evapotranspiration (RET) data obtained from the FAO’s WaPOR product (FWP) are compared with the corresponding values estimated by the Modified Hargreaves-Samani (MHS) and Penman-Monteith (PM) methods. Then, the effect of using each of these RET estimations as the input of HBV hydrological model for simulating the runoff was evaluated based on the root mean square error (RMSE), correlation coefficient (R), Nash-Sutcliffe efficiency coefficient (NSE), and one-way variance (ANOVA). The results showed that the validation of the remote sensing (RS) product in estimating the RET was acceptable. Also, the performance assessment of the HBV model showed that the model was well in simulating the runoff, as the NSE coefficient obtained 0.713, 0.763, and 0.760 during the validation period for the PM and MHS methods and FWP, respectively. Also, there was no significant difference between runoff simulation results using different methods of estimating RET. These results suggested that the FAO’s WaPOR product can be used as a good alternative to the PM and MHS methods where there is a shortage or lack of meteorological data.
    Keywords climatology ; drought ; evapotranspiration ; hydrologic models ; meteorological data ; runoff ; stream flow ; variance ; water supply
    Language English
    Dates of publication 2021-04
    Size p. 191-201.
    Publishing place Springer Vienna
    Document type Article
    Note NAL-AP-2-clean
    ZDB-ID 1463177-5
    ISSN 1434-4483 ; 0177-798X
    ISSN (online) 1434-4483
    ISSN 0177-798X
    DOI 10.1007/s00704-021-03534-y
    Database NAL-Catalogue (AGRICOLA)

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  8. Article: Trivariate joint frequency analysis of water resources deficiency signatures using vine copulas

    Nazeri Tahroudi, Mohammad / Ramezani, Yousef / De Michele, Carlo / Mirabbasi, Rasoul

    Applied water science. 2022 Apr., v. 12, no. 4

    2022  

    Abstract: Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin. In this study, using the rainfall, river flow and groundwater level deficiency signatures ... ...

    Abstract Investigating the interaction of water resources such as rainfall, river flow and groundwater level can be useful to know the behavior of water balance in a basin. In this study, using the rainfall, river flow and groundwater level deficiency signatures for a 60-day duration, accuracy of vine copulas was investigated by joint frequency analysis. First, while investigating correlation of pair-variables, tree sequences of C-, D- and R-vine copulas were investigated. The results were evaluated using AIC, Log likelihood and BIC statistics. Finally, according to the physics of the problem and evaluation criteria, D-vine copula was selected as the best copula and the relevant tree sequence was introduced. Kendall’s tau test was used to evaluate the correlation of pair-signatures. The results of the Kendall’s tau test showed that pair-signatures studied have a good correlation. Using D-vine copula and its conditional structure, the joint return period of groundwater deficiency signature affected by rainfall and river flow deficiency signatures was investigated. The results showed that the main changes in the groundwater level deficiency is between 0.3 and 2 m, which due to the rainfall and the corresponding river flow deficiency, return periods will be less than 5 years. Copula-based simulations were used to investigate the best copula accuracy in joint frequency analysis of the studied signatures. Using copula data of the studied signatures, the groundwater deficiency signature was simulated using D-vine copula and a selected tree sequence. The results showed acceptable accuracy of D-vine copula in simulating the copula values of the groundwater deficiency signature. After confirming the accuracy of D-vine copula, the probability of occurrence of groundwater deficiency signature was obtained from the joint probability of occurrence of other signatures. This method can be used as a general drought monitoring system for better water resources management in the basin.
    Keywords basins ; drought ; groundwater ; physics ; probability ; rain ; river flow ; water analysis ; water table
    Language English
    Dates of publication 2022-04
    Size p. 67.
    Publishing place Springer International Publishing
    Document type Article
    ZDB-ID 2594789-8
    ISSN 2190-5495 ; 2190-5487
    ISSN (online) 2190-5495
    ISSN 2190-5487
    DOI 10.1007/s13201-022-01589-4
    Database NAL-Catalogue (AGRICOLA)

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  9. Article: Spatiotemporal analysis of precipitation and temperature concentration using PCI and TCI: a case study of Khuzestan Province, Iran

    Ahmadi, Farshad / Nazeri Tahroudi, Mohammad / Mirabbasi, Rasoul / Kumar, Rohitashw

    Theoretical and applied climatology. 2022 July, v. 149, no. 1-2

    2022  

    Abstract: Temperature and precipitation are the basic elements of climate, and their variation can change the water demands of different uses. In this study, the trend of temperature and precipitation of Iran’s largest agricultural products hub (i.e., Khuzestan ... ...

    Abstract Temperature and precipitation are the basic elements of climate, and their variation can change the water demands of different uses. In this study, the trend of temperature and precipitation of Iran’s largest agricultural products hub (i.e., Khuzestan Province) was examined in monthly, seasonal, and annual timescales in the period 1988–2018 (30 years) in six synoptic stations. The effect of long-term persistence was eliminated, considering the effect of the Hurst coefficient using the fourth version of the Mann–Kendall nonparametric test. The time of occurring sudden change in the time series and concentration of precipitation and the temperature of the study area were also analyzed using the Pettitt test, precipitation concentration index (PCI), and temperature concentration index (TCI), respectively. The results showed that there is a direct relationship between increasing temperature and decreasing precipitation in the study area. The annual temperature has experienced a significant increasing trend, while the annual precipitation has decreased significantly in all stations. Due to the significant trend in the studied series, the Pettitt test detected a total of 94 significant failure points (year of failure) and it was found that sudden changes in air temperature time series began in November 1993 at Ramhormoz station and continued to January 2009. The results of investigating the temperature and precipitation trends in the two sub-periods (1988–2000 and 2001–2018) showed that most of the significant increasing trends in temperature time series were experienced in the first period and most of the significant decreasing trends in precipitation time series were experienced in the second period. In addition to the trend and sudden changes in precipitation and temperature series of the study area, PCI and TCI showed that the climate of the study area is changing and the tendency to climatic irregularities is increasing. Therefore, the trend evaluation of temperature and precipitation at different time and space scales has great importance in planning and managing water resources.
    Keywords air temperature ; atmospheric precipitation ; case studies ; climate ; climatology ; time series analysis ; Iran
    Language English
    Dates of publication 2022-07
    Size p. 743-760.
    Publishing place Springer Vienna
    Document type Article
    ZDB-ID 1463177-5
    ISSN 1434-4483 ; 0177-798X
    ISSN (online) 1434-4483
    ISSN 0177-798X
    DOI 10.1007/s00704-022-04077-6
    Database NAL-Catalogue (AGRICOLA)

    Full text online

    More links

    Kategorien

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

  10. Article: Probabilistic Assessment of Monthly River Discharge using Copula and OSVR Approaches

    Nazeri Tahroudi, Mohammad / Mirabbasi, Rasoul / Ramezani, Yousef / Ahmadi, Farshad

    Water resources management. 2022 Apr., v. 36, no. 6

    2022  

    Abstract: In this study, two efficient approaches for bivariate simulation are presented, which include meteorological and hydrological variables. For this purpose, the applicability of support vector regression (SVR) model optimized by Ant colony and Copula-GARCH ...

    Abstract In this study, two efficient approaches for bivariate simulation are presented, which include meteorological and hydrological variables. For this purpose, the applicability of support vector regression (SVR) model optimized by Ant colony and Copula-GARCH (Generalized Autoregressive Conditional Heteroscedasticity) algorithms were investigated and compared in simulating the river discharge based on total monthly rainfall in Talezang Basin, Iran. Entropy theory was used to select a suitable meteorological station corresponding to a hydrometric station. The vector autoregressive model was also used as the base model in Copula-GARCH simulations. According to the 99% confidence intervals of the simulations, the accuracy of both models was confirmed. The simulation results showed that the Copula-GARCH model was more accurate than the optimized SVR (OSVR) model. Considering the 90% efficiency (NSE=0.90) of the Copula-GARCH approach, the results show a 36% improvement of RMSE statistics by the Copula-GARCH model compared to the OSVR model in simulating the river discharge on a monthly scale. The results also showed that by combining nonlinear ARCH models with the copula-based simulations, the reliability of the simulation results increases, which was also confirmed using the violin plot. The results also showed an increase in the accuracy of the Copula-GARCH model at the minimum and maximum values of the data.
    Keywords administrative management ; ant colonies ; basins ; entropy ; heteroskedasticity ; models ; probability analysis ; rain ; regression analysis ; river flow ; water ; Iran
    Language English
    Dates of publication 2022-04
    Size p. 2027-2043.
    Publishing place Springer Netherlands
    Document type Article
    ZDB-ID 59924-4
    ISSN 1573-1650 ; 0920-4741
    ISSN (online) 1573-1650
    ISSN 0920-4741
    DOI 10.1007/s11269-022-03125-0
    Database NAL-Catalogue (AGRICOLA)

    Full text online

    More links

    Kategorien

    In stock of ZB MED Bonn / Germany

    Z 6155: Show issues

    Order via subito

    This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.

    Inter-library loan at ZB MED

    Your chosen title can be delivered directly to ZB MED Cologne location if you are registered as a user at ZB MED Cologne.

To top