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:
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