Comparison of the climate indices based on the relationship between yield loss of rain-fed winter wheat and changes of climate indices using GEE model

Zarei, Amin; Shabani, Ali; Mahmoudi, Mohammad Reza

doi:10.1016/j.scitotenv.2019.01.204

Cited by 58 publications

(14 citation statements)

References 36 publications

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“…To achieve this goal, it is necessary to define climatic, drought, and water scarcity indicators. In the study of climate, the United Nations Environmental Program (UNEP) index has been one of the most widely used indicators in different parts of the world (Kimura & Moriyama 2019;Zarei et al 2019aZarei et al , 2019b. It has been adopted to determine the climatic situation in various studies (Meslier & DiRuggiero 2019;Moghimi & Zarei 2019;Yang et al 2019;Bahrami et al 2020;Zarei & Mahmoudi 2021c).…”

Section: Introductionmentioning

confidence: 99%

Investigating the effects of climate change, drought, and agricultural sector policies on the trend of the water poverty index in Iran

Yazdi

Mousavi

Zarei

et al. 2022

Journal of Water Supply: Research and Technology-Aqua

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Since climate change, intermittent droughts with various severities, poor management and uncontrolled abstraction of water resources, and inattention to the balance of these resources have caused the water crisis in recent decades, it is vitally important to study the water scarcity, its changes in the future, and the effect of climate change and drought on the scarcity through appropriate management policies in the agricultural sector. To achieve this goal, the present study selected the Fasa plain in Iran and calculated its water poverty index (WPI) from 2008 to 2018 using parametric and non-parametric statistical tests. Also, the study calculated the correlation coefficient between the WPI and climate change and drought in the study area. It then evaluated the effects of water resources management policies in the agricultural sector on the poverty index. The results showed that water consumption had the greatest weight in calculating the WPI. The WPI has fluctuated between 0.297 and 0.678 in the Fasa plain, and the worst situation of water poverty was experienced in 2014. Despite its insignificance, the downward trend in the WPI showed that water resources management has become more unfavorable over time. Finally, it was concluded that the WPI in the Fasa plain was more dependent on drought than on climate change in the short term. Therefore, managing water resource consumption in this plain is vitally important, especially in drought conditions. The results also showed that reducing water consumption in the agricultural sector can significantly improve the WPI. Therefore, solving the water crisis in this plain, given the drought conditions and its future trend, requires policies improving water-use efficiency in the agricultural sector.

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Section: Introductionmentioning

confidence: 99%

Investigating the effects of climate change, drought, and agricultural sector policies on the trend of the water poverty index in Iran

Yazdi

Mousavi

Zarei

et al. 2022

Journal of Water Supply: Research and Technology-Aqua

Self Cite

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“…Many research studies have been conducting on Covid-19, for example, Yousaf et al [1] studies the forecasting of the infections, deaths, and recoveries using Auto-Regressive Integrated Moving Average Model (ARIMA), Fong et al [2] discussed the accurate early forecasting model using small data, Petropoulos and Makridakis [3] also discussed the forecasting model, Chen et al [4] worked on the reconstruction and prediction algorithm for Covid-19, Nayak et al [5] presented the statistical analysis of Covid-19 using the probabilistic model, Wolkewitz [6] discussed the statistical analysis of the clinical Covid-19 data, Yue et al [7] worked out the Size of a COVID-19 Epidemic from Surveillance Systems, Syed and Sibgatullah [8] discussed the estimation of the final size of the COVID-19 epidemic in Pakistan using the SIR model, Mizumot et al [9] estimates the asymptomatic proportion of COVID-19. Many other research studies have been conducted where the investigator applied various statistical tools for data analysis, For example, zeri et al [10] discussed the comparison of the climate indices using GEE model, Mahmoudi et al [11] worked on the estimation of the simple harmonizable processes, Maleki and Mahmoudi [12] studied the Two-piece locationscale distribution, Mahmoudi et al [13] explored the large sample inference in two independent populations, and Pan et al [14] worked on classifying and comparing several linear and non-linear regression models with a symmetric error.…”

Section: Introductionmentioning

confidence: 99%

A new approach for modeling COVID-19 death data

Farooq

2022

IFS

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The Covid-19 infections outbreak is increasing day by day and the mortality rate is increasing exponentially both in underdeveloped and developed countries. It becomes inevitable for mathematicians to develop some models that could define the rate of infections and deaths in a population. Although there exist a lot of probability models but they fail to model different structures (non-monotonic) of the hazard rate functions and also do not provide an adequate fit to lifetime data. In this paper, a new probability model (FEW) is suggested which is designed to evaluate the death rates in a Population. Various statistical properties of FEW have been screened out in addition to the parameter estimation by using the maximum likelihood method (MLE). Furthermore, to delineate the significance of the parameters, a simulation study is conducted. Using death data from Pakistan due to Covid-19 outbreak, the proposed model applications is studied and compared to that of other existing probability models such as Ex-W, W, Ex, AIFW, and GAPW. The results show that the proposed model FEW provides a much better fit while modeling these data sets rather than Ex-W, W, Ex, AIFW, and GAPW.

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“…The expanding aridity in North African countries and in some South European countries such as Italy, Greece and Spain is a major issue limiting agriculture and thus adequate and reliable production of food [1]. Additionally, global warming, a worldwide phenomenon that could cut world economy by $23 trillion in 2050 [2], is creating concern among academics and politicians as the Mediterranean might be a region especially vulnerable global change [3][4][5][6]. In fact, in North African countries, precipitation events are expected to become rarer in the future, but characterized by larger rain events [7].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Performance of a Subsurface Water Retention System (SWRS) Prototype: First Evaluation of Work Productivity and Costs

Pari¹,

Stefanoni²,

Palmieri³

et al. 2022

Inventions

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The potential to use Subsurface Water Retention Systems (SWRSs) to combat desertification and improve agriculture in arid and semiarid areas has already been investigated and proved promising. Nevertheless, a lack of specific machinery has prevented this technology from demonstrating its effectiveness on vast areas. In the present study, a specific prototype is presented along with the results obtained from a preliminary study conducted to assess effectiveness, performance and associated cost. During the test, the machinery permitted the construction of a SWRS 100 cm belowground using a 140 kW tractor. The effective field capacity (EFC) averaged at 0.19 ha h–1 whilst total cost was estimated to be as high as 4800.00 € ha–1. However, 93% of the cost was associated with the purchase cost of the removable impermeable film. A removal operation was also investigated using a 42 kw excavator for evaluating the EFC and cost which averaged at 0.2 ha h–1 and 655.79 € ha–1, respectively.

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Comparison of the climate indices based on the relationship between yield loss of rain-fed winter wheat and changes of climate indices using GEE model

Cited by 58 publications

References 36 publications

Investigating the effects of climate change, drought, and agricultural sector policies on the trend of the water poverty index in Iran

Investigating the effects of climate change, drought, and agricultural sector policies on the trend of the water poverty index in Iran

A new approach for modeling COVID-19 death data

Assessing the Performance of a Subsurface Water Retention System (SWRS) Prototype: First Evaluation of Work Productivity and Costs

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