Anil KumarYogesh Kumar2019-01-312019-01-312018-06http://krishikosh.egranth.ac.in/handle/1/5810093064The trend is one of the deterministic components of a time series. The trend component is described as long term or regular fluctuation in a time series, on an average basis, which could either be increasing or decreasing in nature. The anthropogenic and climatic activities influence many hydrometeorological processes in a persistent manner, whose effect emerges in form of trends in rainfall, temperature, evapo-transpiration, stream flows, etc. These trends may be with respect to time (temporal trend) and space (spatial trend). These trends in rainfall are of paramount importance for carrying out studies related to climate change aspects. The knowledge of trends in rainfall is extremely important for agricultural engineers, hydrologists, water scientists etc. Without studying trends it may sometimes lead to overestimation or underestimation of the parameters for the design and operation of water infrastructures, water stresses, water shortages and agricultural failures. Rajasthan is a state which covers north-western and western parts of Indian sub-continent. The state has always been under the threat of droughts and planning and management of water resources and agriculture becomes a crucial issue in the state. There should be proper management of water resources and agricultural operations to prevent such extreme events. Hence it is very important to study the nature of rainfall in form of trends both temporally and spatially. This study was conducted to analyze the temporal and spatial trends of annual and monsoonal rainfall, and annual rainy days in Jodhpur and Kota zones of Rajasthan. Non- Parametric statistical methods namely Mann-Kendall (MK) and Modified Mann-Kendall (MMK) test were employed for detection of temporal trends. The magnitude of the identified trends was assessed by using Theil-Sen slope estimator test. A recently proposed Innovative trend analysis (ITA) method was also used for detection of temporal trends. The turning point of potential trends was identified using Sequential Mann-Kendall (SQMK) test. The spatial analysis of trends was done using Inverse Distance Weighing (IDW) technique in GIS environment. On the basis of application of above methods, fluctuating trends of different magnitudes in both Jodhpur and Kota zones were identified, which could be possible due to climatic and anthropogenic activities taking place in the study area over the years. This could be a sign of climate change in the study area.ennullThesis