scholarly journals Time Series Analysis and Modeling of Monthly Rainfall in Saudi Arabia

Managing of water resources is an important future issue. Modeling is fundamental in preparation and organization of water resource system. Forecasting of occasions request identify proper models to be used in this process. Water is the main living source on earth. The most common and fundamental source of water on earth supporting the survival of the majority of life forms is Rainfall. Time arrangement investigation which incorporates modeling and estimating constitutes a instrument of foremost significance with reference to a wide extend of logical purposes in meteorology (e.g. precipitation, stickiness, temperature, sun powered radiation, surges and drafts). The show work applies the Box-Jenkins approach, utilizing SARIMA (Regular Autoregressive Coordinates Moving Normal) demonstrate is utilized to perform brief term estimates of month to month time arrangement such as precipitation. Modeling the past watched precipitation time arrangement values which result in utilized to anticipate long run amounts in agreement to the past. The demonstrate is tried by confirming the past precipitation information. In turn, the research produces a solid future figure. This show is assessed by implies of the AIC-, BIC-, and SBC- demonstrate.

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0248743
Author(s):  
Md Mazharul Islam ◽  
Majed Alharthi ◽  
Md Wahid Murad

Objective While macroeconomic and environmental events affect the overall economic performance of nations, there has not been much research on the effects of important macroeconomic and environmental variables and how these can influence progress. Saudi Arabia’s economy relies heavily on its vast reserves of petroleum, natural gas, iron ore, gold, and copper, but its economic growth trajectory has been uneven since the 1990s. This study examines the effects of carbon emissions, rainfall, temperature, inflation, population, and unemployment on economic growth in Saudi Arabia. Methods Annual time series dataset covering the period 1990–2019 has been extracted from the World Bank and General Authority of Meteorology and Environmental Protection, Saudi Arabia. The Autoregressive Distributed Lag (ARDL) approach to cointegration has served to investigate the long-run relationships among the variables. Several time-series diagnostic tests have been conducted on the long-term ARDL model to check its robustness. Results Saudi Arabia can still achieve higher economic growth without effectively addressing its unemployment problem as both the variables are found to be highly significantly but positively cointegrated in the long-run ARDL model. While the variable of carbon emissions demonstrated a negative effect on the nation’s economic growth, the variables of rainfall and temperate were to some extent cointegrated into the nation’s economic growth in negative and positive ways, respectively. Like most other nations the short-run effects of inflation and population on economic growth do vary, but their long-term effects on the same are found to be positive. Conclusions Saudi Arabia can achieve both higher economic growth and lower carbon emissions simultaneously even without effectively addressing the unemployment problem. The nation should utilize modern scientific technologies to annual rainfall losses and to reduce annual temperature in some parts of the country in order to achieve higher economic growth.


2015 ◽  
Vol 15 (3) ◽  
pp. 656-666
Author(s):  
Nazila Sedaei ◽  
Abolghasem Akbari ◽  
Leila Sedaei ◽  
Jonathan Peter Cox

There are several principal driving forces behind the damaging coastal water resources depletion in many countries, including: high population growth, degrading water resources due to overexploitation and contamination, lack of awareness among local beneficiaries regarding sustainable management, and deficient government support and enforcement of conservation programs. To ensure a water resource system is productive in coastal areas, holistic and comprehensive management approaches are required. To address the aforementioned issues, a combined methodology which considers anthropogenic activities, together with environmental problems defined as the Overall Susceptibility Socio-Ecological System Environmental Management (OSSEM) has been investigated. The OSSEM model has been applied successfully in Spain based upon daily time series data. This research is ground breaking in that it integrates the OSSEM model in a geographic information system (GIS) environment to assess the groundwater contamination based on annual time series data and the assessment of system management by means of an overall susceptibility index (OSI). Centered on OSI indicators, the renewal, salinization and water deficit potentials in the Talar aquifer were estimated to be 4.89%, 4.61%, and 3.99%, respectively. This data demonstrates a high susceptibility in terms of environmental pollution, salinization, and water deficit.


2013 ◽  
Vol 316-317 ◽  
pp. 665-669
Author(s):  
Chao Yang Du ◽  
Hu Ping Zhong ◽  
Ya Dong Shi ◽  
Feng Xu ◽  
Li Juan Mo

Based on the studies on water resource system, we discuss the connotation of sustainable water resource system and explore the operating mechanisms of sustainable water resource system, including dynamic, resistance and coordination for three mechanisms, which control the evolution of sustainable water resource system. Then, after the establishment of the indicator system of sustainable water resource system evaluation, the regional sustainable water resource system evaluation model is set up by using set pair analysis theory. The evaluation results are obtained by calculating connection degree of each indicator. Finally, taking Shanghai as an example, it analyzes the water resource sustainability in Shanghai by using this model. The calculating results indicate that the situation of sustainable water resources system was better, which is in accordance with the actual situation in Shanghai.


2020 ◽  
Vol 69 (3) ◽  
pp. 224-237 ◽  
Author(s):  
Shahmir Janjua ◽  
Ishtiaq Hassan

Abstract A common problem in water resource allocation is to design a stable and feasible mechanism of water sharing in critical scarcity conditions. The task becomes very challenging when the water demand exceeds the available water resources reserves. To address this pervasive allocation problem related to transboundary rivers, the bankruptcy method is used. The bankruptcy method distributes water among riparian states when their total demand exceeds the total available water. This paper describes a new methodology for the allocation of scarce water resources in a complex system using a stochastic game theory which is an extension of bankruptcy theory. The authors have also proposed ‘weighted bankruptcy’ approach that can be used under a stochastic setting. The weighted bankruptcy approach favors agents with ‘high agricultural productivity’. The bankruptcy rules have been applied in the water resource system in four critical scarcity scenarios. The available water is allocated under the simple and weighted bankruptcy rules. The results showed that under all four scenarios, the weighted bankruptcy rules favor the agents which have a high agricultural productivity. The stochastic bankruptcy approach under the simple and the weighted bankruptcy rules can provide important strategic information for better management and sustainable sharing of water resources.


Author(s):  
Talal bin Ibrahim Badawi

This research deals with the statistical analysis of occupational injuries in Saudi Arabia by professions during the period from 1425 to 1435 H using the data available from the Social Insurance (GOSI), which represents the past and the present to extrapolate future values where it is important to plan for the future and watercourses to predict the occurrence of events decisions before they happen at all aspects of the activity, and the research was conducted using a two-component of time series  Seasonal and Cyclical Variationson samples categories of workers by professions All occupations registered the General organization for social Insurance, managers, and the results showed the two high incidence of occupational injuries during the months of Muharram to Shaaban almost with different values in some months, interspersed with the highest increase for the category of total occupations in the Rabe Althani (4), while the least was an increase in the month of Muharram (1) for the category of managers was the highest increase of injuries in the month of Shaaban (8), and the results showed that fewer months a decrease in the incidence of occupational injuries for the two categories are of the month Ramadan, the month of Dhu al-Hijjah, and greater value to decrease the number of injuries for the two categories are in the month of Dhul Hijja (12), and when applying the seasonal guide to predict future injuries for the year 1440 for the two categories they gave values similar to the current results with respect to the increase or decrease in the number of injuries.


Author(s):  
Martina Zeleňáková ◽  
Pavol Purcz ◽  
Helena Hlavatá

Trends and changes in precipitation extremes have been a focus of research over the past decade. Observations show that changes are occurring in the amount, intensity, frequency and type of precipitation. Climate variability has created the need to study subsequent changes in hydroclimatic variables (e.g. rainfall, streamflow and evapotranspira-tion) to understand the regional effects of climate change. Mainly agricultural activities and water management activi-ties – water supply, urban drainage, and hydraulic structures management are patterned according to rainfall seasonality. Trend detection in precipitation time series is crucial for water resources management. Many researchers all over the word have investigated hydrologic variables trends at various temporal scales. In this paper we investigate the trends in precipitation time series in climatic station Košice, Slovakia in the period 1981–2013. We address the topic of trend detection in precipitation time series combining novel and traditional tools in order to simultaneously tackle the issue of seasonality and interannual variability, which usually characterize natural processes. The analysis proves that, in the case study area, statistically significant trends in precipitation have been undergoing in the last decades, although they have no significant impacts on water resources.


2013 ◽  
Vol 405-408 ◽  
pp. 2161-2166
Author(s):  
Ke Peng Feng ◽  
Jun Cang Tian

The decision support system (DSS) developed to support the management of the water resource system of Ningxia are presented. The DSS includes information component system that performs data acquisition, management and visualization. In GIS module, Google Earth and ArcGIS are integrated, through KML (KMZ) files for data exchange, provides integrated services and decision support for the management of water resources. Model component performs simulation and optimization of the water resources. The models, which are the focus of the present work, reorganized into two main parts. The first one is water demand forecast model, which, based on the analysis of historical hydrological data, generates forecasts of the water demand amount. The second one allows the detailed study of the water resources implementing the optimization methodology. The mathematical method performs the allocation of the water resources to the different system components, keeping the number of control variables small, even for complex water resources like the one under study. The DSS is now in the final stage of its development and its results, some of which are summarized in the paper, have been utilized to support the water resources management. This template explains and demonstrates how to prepare your camera-ready paper for Trans Tech Publications. The best is to read these instructions and follow the outline of this text.


Crisis ◽  
2020 ◽  
pp. 1-6
Author(s):  
Mohammed Madadin ◽  
Ritesh G. Menezes ◽  
Maha A. Alassaf ◽  
Abdulaziz M. Almulhim ◽  
Mahdi S. Abumadini ◽  
...  

Abstract. Background: Medical students are at high risk of suicidal ideation. Aim: We aimed to obtain information on suicidal ideation among medical students in Dammam located in the Eastern Province of Saudi Arabia. Method: This cross-sectional study was conducted at the College of Medicine affiliated with Imam Abdulrahman Bin Faisal University in the Eastern Province of Saudi Arabia. Suicidal ideation in the past 12 months was assessed based on responses to four questions in the depression subscale of the General Health Questionnaire 28 (GHQ-28). In addition, data were collected to examine the association of suicidal ideation with various factors. Results: We found that 1 in 3 medical students in the study had suicidal ideation in the past 12 months, while around 40% had lifetime suicidal ideation. Suicidal ideation was associated with feelings of parental neglect, history of physical abuse, and dissatisfaction with academic performance. Limitations: The cross-sectional nature of this study limits its ability to determine causality regarding suicidal ideation. Conclusion: These rates are considerably high when compared with rates from studies in other countries around the world. This study provides a reference in the field of suicidology for this region of Saudi Arabia.


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