Revealing changes in precipitation in Kermanshah province using statistical models

Number of pages: 121 File Format: word File Code: 30117
Year: 2014 University Degree: Master's degree Category: Geography - Urban Planning
  • Part of the Content
  • Contents & Resources
  • Summary of Revealing changes in precipitation in Kermanshah province using statistical models

    Dissertation for obtaining a master degree

    in the field of natural geography

    Climatic change trend

    Abstract:

    With the process of global warming and water resources becoming more valuable due to population growth and the needs of industries and agriculture, numerous surveys have been conducted in line with water conservation and protection programs in order to investigate changes in precipitation and planning in the field of facing the consequences of positive and negative changes. The purpose of this research is to study the possible deviation of the climatic element of precipitation in Kermanshah province from the normal state.  In order to investigate climate changes and precipitation change, statistical tests of Man Kendal and Arima were used in the synoptic stations of Kermanshah province (Kermanshah, Islamabad Gharb, Kangavar, Ravansar and Sar Pol Zahab) during the statistical period (1988 to 2012) based on rainfall indicators. The results of this research show that: the Mann-Kendall test was carried out at NORMAL-Z level and P-VALUE level in Kermanshah, Islamabad, Kangavar, Ravansar and Sarpol Zahab stations, and this test shows and confirms the existence of rainfall changes during the 25-year statistical period.  Based on the amount of T statistic obtained from the table as well as the significance levels and estimated error, it can be concluded that based on four ARIMA models, SARIMA(1,1,1)(1,1,1)12 and SARIMA(1,1,0)(0,1,1)12 models with the lowest significance level close to the error level of 0.01 and the amount of T statistic at the most acceptable level can provide the best fit. As a result, in Kermanshah province, the total annual rainfall has the most changes.

    Keywords: Kermanshah province - precipitation - trend - Man Kendal - ARIMA

    Recently, one of the most important topics in the discussion of climate in different regions is the topic of climate and its change as an irreversible situation, and many researchers have addressed the various dimensions of this issue. One of the manifestations and consequences of this phenomenon is the change in climatic elements, especially the temperature and precipitation of different regions. A slight disruption of the global climate balance has caused the average global temperature to show a tendency to increase (Hejazizadeh, 2018: 43)

    In Iran, rainfall is one of the basic variables for evaluating potential water resources, but its temporal and spatial distribution is very heterogeneous, and for this reason, the distribution of water resources in the country is not uniform. Maintenance and management of water resources is a function of received rainfall and rainfall variability. The smaller the spatial changes of rainfall, the more stable the water sources will be, and the permanent supply of water will be more possible. For this reason, the temporal variability of precipitation is very important in the evaluation of available water resources of watersheds and the relative study of available water resources on a local and regional scale. (Massoudian, 2010: 121)

    Controlling and guiding the amount of precipitation changes as the main element in climatic drought is of great importance. Since the location of Iran is between 25 and 39 degrees north latitude, the most important factors controlling its climate should be sought both in the subtropical and extratropical regions. Iran is located in the presence of two regimes, Hadley and Rozbay, and due to the wave nature of the air orbital movements in this region, based on the strength and weakness of the Rozbay regime in spring, it is subject to cold and warm air waves alternately. Since the synoptic systems responsible for Iran's spring frosts are repeated every year with alternating frequency and intensity, they should be considered as part of the definite characteristics of Iran's climate. Therefore, due to the fact that Iran is exposed to the invasion of these systems, most of the country's regions (including Kermanshah province) have a rainy regime. Therefore, long-term forecasting and monitoring of climatic conditions in each region can be a good solution to deal with the adverse effects of climate change (freezing, drought, floods, etc.). (Shakiba, 51:1389)

    1-2- Statement of the problem:

    Climate change can be studied by tracking characteristics such as quantity and time-spatial pattern of climatic elements. Meanwhile, the study of precipitation is very popular. Precipitation, as one of the fundamental elements of climate, has increased by about 1% during the 20th century especially in the middle and upper latitudes of the Northern Hemisphere. On the other hand, in the tropical drylands (latitude 10-30 degrees north), the rainfall trend has decreased by about 3%, and in the tropical areas, the relative increase in rainfall has been around 2-3%. (Masman[1] et al.(Masman[1] et al., 2004:43) Looking for the effects of the climate change phenomenon on the climatic elements of the world, Iranian thinkers have also been trying to investigate the effects of the phenomenon on the climatic elements of Iran in recent decades. In this regard, some researchers have focused their attention on long-term changes in rainfall. (Asakreh et al., 2011: 62) In Iran, precipitation is one of the most important vital parameters and important factors in climate structure. Although rainfall in Iran has a periodic nature, its spatial and temporal distribution is extremely uneven. (Masoudian, 1390:132) For this reason, open or hidden dependence on rainfall has caused uneven distribution in water resources, animal life, etc. The unevenness in the spatial and temporal distribution of rainfall is related to the unevenness and their arrangement and the geographical location of Iran, respectively. It is on this basis that the geographical arrangement of the rainfall areas in Iran shows the dependence of the amount of rainfall on the unevenness and the time of rainfall on the latitude. (Same source: 79) In general, based on simulation models and several scenarios, the average water evaporation density in the world and the amount of precipitation will increase during the 21st century in the middle and high latitudes of the Earth in winter, but on the other hand, we will expect an increase and a decrease in the low latitudes. Also, in areas where the average increase in rainfall is expected, the annual rainfall changes will be greater. (Yildirim Yildirim [2] et al., 43:4004) in every year, there is a certain relationship and stable order between the rainfall of that year and other phenomena. However, the state of dispersion of phenomena varies from year to year, and as a result, the amount of precipitation or the intensity of the relationship also changes. Therefore, statistical models and methods and the law of probabilities are used to reach a stable and dominant result. For example, statistical and mathematical models are used for the zoning of Iran's rainfall, to know the prevailing order in the spatial slope of rainfall between east and west of Iran. (Alijani, 1371: 12) Analyzing Mann-Kendall's statistical-graphical test and predicting the behavior of a variable using the ARIMA model are among the most important statistical methods used in the study of rainfall changes. Based on this, this study is carried out in order to fill the void of studies with the title of revealing changes in rainfall in Kermanshah province. 1-3- The main questions of the research: 1- What pattern does the trend of rainfall changes in Kermanshah province follow?

    1-4- Research assumptions:

    1- It seems that changes in precipitation in Kermanshah province have slow increasing and decreasing trends.

    2- In Kermanshah province, the total annual rainfall has the most changes.

    1-5- The purpose of the research:

    The general purpose of this study is to reveal the trend of changes. Precipitation and also the changing behavior of precipitation in Kermanshah province, which will be discussed and investigated using Kendall's statistical-graphical test as well as the time series method. 1-6- Necessity and importance of the research: Rain is one of the most variable elements of the climate, whose changes can have negative environmental, social, economic and even cultural consequences for human societies. It is, especially the increase of change and variability is of considerable importance, it can play an important role in climate forecasts and as a result in water resource management and optimal environmental, economic and agricultural planning. The assumption of precipitation changes in the global climate has occupied the minds of researchers and human societies. And the changes in precipitation, even in a small way, will have significant and significant effects on all the elements of human life and natural life. The scientific approach to this phenomenon is often carried out by earth science researchers, especially water and meteorology, meteorology, hydrology, environment, physics and agriculture. Each of them has investigated the issue with different methods such as statistical analysis, synoptic analysis, remote sensing and with laboratory equipment and complex scientific models. Climatologists, through a special research method, often statistically or synoptically, using the measured data of weather stations and maps of the earth's surface and the upper levels of the atmosphere, analyze the changing behavior patterns of precipitation.

  • Contents & References of Revealing changes in precipitation in Kermanshah province using statistical models

    List:

     

    Chapter One: Research Overview

    Title ..page

    1-1- Introduction ..2

    1-2- Statement of the problem ..3

    1-3- Main Research Questions ..4

    1-4- Research Assumptions ..4

    1-5- The purpose of the research ..4

    1-6- The necessity and importance of the research ..4

    1-7- The background of the research ..5

    Chapter Two: The theoretical foundations of the research

    2-1- Introduction ..14

    2-2- The role of human factors in climate change and its impact evaluation 14

    2-3- Definition of time series ..15

    2-4- Characteristics of time series ..16

    2-5- Division of time series ..16

    2-6- Main components of time series ..17

    2-6-2- Linear trend ..18

    2-6-3- Short term fluctuations ..18

    2-6-3-1- Seasonal fluctuations ..18

    2-6-3-2- Cyclic fluctuations ..19

    2-6-4- Irregular fluctuations ..20

    2-7- Types of methods for trend analysis ..20

    2-7-1- Merits of non-parametric methods ..20

    2-7-2- Disadvantages of non-parametric methods ..21

    Chapter three: Geographical features of the study area

    3-1- Introduction ..23

    3-2- Selection of stations ..24

    3-3- Location of stations ..24

    3-4- Statistical period and method Data extraction. 25

    3-5- Topographic features of the province..25

    3-5-1- Heights..25

    3-5-1-1- Series of important heights of the province..26

    3-5-1-1-1- Paveh heights..26

    3-5-1-1-2- Heights around the city Kermanshah. 26

    3-5-1-1-3- Altitudes between tropical and cold areas of Siri. 27

    3-5-1-1-5- Altitudes between Sangh, Kangavar and Sanqar. 27

    3-5-2- Topographical units in Kermanshah province. 28

    3-5-2-1- Foothills. ..28

    3-5-2-2- Plains ..28

    3-6- Climate ..29

    3-6-1- Precipitation ..29

    3-6-2- Temperature ..31

    3-6-3- Air masses affecting the area ..31

    3-6-3-1- Iceland low pressure ..31

    3-6-3-2- Mediterranean low pressure ..31

    3-6-3-3- Siberian high pressure mass ..32

    3-6-3-4- Sudan low pressure ..32

     

     

     

     

    Chapter Fourth: Research materials and methods

    Title ..page

    4-1- Introduction ..34

    4-2- ARIMA models ..34

    4-2-1- Test model detection ..35

    4-2-1-1- Prediction with ARIMA model ..35

    4-2-2- Composite models (autoregressive) and moving average (ARIMA) ..42

    5-2- Precipitation descriptive statistics of the stations studied. 42

    5-3- Trend analysis.

    5-5- Trend analysis using Mann-Kendall test.57

    5-6- Investigating the precipitation trend based on time series analysis in the studied stations.

    5-6-1- Kermanshah station.

    5-6-2- Islamabad West Station ..66

    5-6-2-1- Precipitation Modeling ..66

    5-6-2-2- Examining the basic assumptions of the model.

    5-6-3-2- Examining the basic assumptions of the model.71

    5-6-4- Sarpol Zahab station..74

    5-6-4-1- Precipitation modeling..74

    5-6-4-2- Examining the basic assumptions of the model.75

    5-6-5- Ravansar station..78 5-6-5-1- Precipitation modeling.

    6-1- Discussion and conclusion ..93

    6-2- Hypothesis test ..96

    6-2-1- First hypothesis ..96

    6-2-2- Second hypothesis ..96

    Sources and references ..97

    Source:

    1- Ashgar Tosi, Shadi; Alizadeh, Amin, Shirmohammadi, Reza,97

    Source:

    1- Ashgar Toosi, Shadi; Alizadeh, Amin, Shirmohammadi, Reza, 2018, SARIMA modeling of seasonal rainfall, a case study of rainfall modeling and forecasting in Khorasan province, Journal of Water Resources Research, vol. 3, pp. 41-51. 2- Ishahi, Mehdi; Saeedabadi, Rashid, 1386, Prediction of dry and wet periods using the relationship between temperature and rainfall in Tabriz region, Newar Journal, Vol. 63 and 62, pp. 67-81.

    3- Bigleri, Jalil, 1386, Evaluation of effective rainfall in rain-fed wheat cultivation (Kermanshah province case study), Master's thesis in Natural Geography, University of Sistan and Balochistan, p. 89. 4- Parvin, Nader, 1380, Drought forecasting in the catchment area of ??Lake Urmia, Master's thesis, Tarbiat Moalem University of Tehran, Faculty of Literature and Humanities. 5- Torabi, Sima, 1380, Survey and forecasting of temperature and precipitation in Iran, PhD thesis, Tabriz University, Faculty of Social Sciences and Humanities. 6- Jabari, Iraj, 1384, Statistical methods in environmental and geographical sciences, first edition, Kermanshah: Razi University Press, pp. 218 and 221.

    7- Jihadi Taroghi, Mahnaz, 1378, Determining the trend of temperature and precipitation in Mashhad during the statistical period of 1944-1951, Geographical Research Quarterly, vol. 55, pp. 151-165.

    8- Jahanbakhsh, Saeed; Sari Saraf, Behrouz, Fakheri Fard, Ahmed, Mir Mousavi, Seyed Hossein, 2016, Application of linear transfer function models in the study of fluctuations of climatic parameters of Tabriz station, Research Journal of Isfahan University, vol. 20, vol. 1, pp. 75-92. 9- Hejazizadeh, Zahra; Parvin, Nader, 1388, investigation of temperature and precipitation changes in Tehran during the last half century, Journal of Geography and Regional Planning, Fall and Winter 1388, pp. 43-56.

    10- Hijam, Sohrab; Yunus, Khoshkho, Shamsuddin Vandi, Reza, 2017, analysis of seasonal and annual rainfall changes in some selected stations in the central region of Iran using non-parametric methods, Journal of Geographical Research, Vol. 64, pp. 157-168. 11- Khalili, Ali; Hijam, Sohrab, Irannejad, Parviz, 1370, Climate knowledge of Iran, climate divisions, volume 4, p. 25. 12- Khalili, Ali; Bazarafshan, Javad, 2013, analysis of annual, seasonal and monthly rainfall trend of five old stations of Iran in the last one hundred and sixteen years, Biyaban magazine, volume 9, vol. 1, p. 25-33. 13- Khurshid Dost, Ali Mohammad; Qavidel Rahimi, Youssef, 2013, study of rainfall fluctuations and prediction and determination of wet and dry winter seasons of East Azarbaijan province, Geographical Research Quarterly, Vol. 72, pp. 25-36.

    14- Douglas, C. Montegrey; Lynod, A., Johnson, John, S. Gardiner, 1373, Forecasting and Analysis of Time Series, Mohammad Taghi Fatemi Qomi, Tehran; Nashardanesh Morooz, pp. 12-316.

    15- Rasouli, Ali Akbar, 1379, preliminary analysis of the air temperature time series of Tabriz city, Newar magazine, Vol. 46 and 47, pp. 7-25.

    16- Raziei, Tayeb, 1384, the relationship between temperature and annual rainfall in arid and semi-arid regions of central and eastern Iran, Isfahan Water and Wastewater Quarterly, no. 54. 17- Roshni, Mahmoud, 1382, investigation of climate changes on the southern shores of the Caspian Sea, master's thesis, University of Tehran. 18- Meteorological yearbook of Kermanshah station, 1387, Kermanshah Governorate, Bureau of Statistics and Information. 19- Shakiba, Haniyeh, 1389, investigation and forecasting of minimum annual and monthly temperature using neural networks. Artificial (case study: Karaj region), Master's Thesis, Faculty of Geography and Environmental Planning, University of Sistan and Balochistan, p. 51. 20- Taheri, Mohammad, 1377, Modeling of temperature and precipitation in 11 meteorological stations in the statistical period of 1951-1977 and its forecast until 2000, National Meteorological Organization. 21- Abdullahzadeh, Kaveh; Abdullahzadeh, Yahya, 1382, applied concepts of statistics and probabilities, second edition, Tehran: Aizh publisher.

    22- Azizi, Qasim; Shamspour, Ali Akbar, Yarahamdi, Dariush, 1387, Recovery of climate change in the western half of the country using multivariate statistical analysis, Journal of Geographical Research, Vol. 66, pp. 19-35.

    23- Asakere, Hossein, 1384, Analyzing the trend of annual rainfall in Isfahan province, Newar magazine, No. 57 and 56.

    24- Asakere, Hossein, 1386, temporal and spatial changes of rainfall during recent decades, Journal of Geography and Development, Vol. 10, pp. 145-164.

    25- Asakere, Hossein; Razmi, Rabab, 2013, analysis of annual rainfall changes in Northwest Iran, Journal of Geography and Environmental Planning, No. 3, pp. 147-162.

Revealing changes in precipitation in Kermanshah province using statistical models