Page 44 - Haryana Water Resources Atlas 2025
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District-Wise Rainfall Probability









                  ainfall probability refers to the likelihood or chance of rainfall occurring within a specific area during a particular period
                  or a particular range. It is usually expressed as a percentage or a decimal, and it is based on the analysis of past weather
            Rpatterns, current atmospheric conditions, and other factors that affect precipitation. For instance, if the probability of
            rainfall is 68%, it means that there is a 68% chance of rainfall occurring withinone standard deviation (SD) from the mean
            rainfall. Rainfall probability can provide valuable information for a wide range of stakeholders, helping them make informed
            decisions in response to rainfall patterns like weather forecasting, disaster management, agricultural planning, crop selection,
            and planning rainwater harvesting structures in terms of both site and capacity.
            The rainfall probability of Haryana is presented in Graph 3, which shows the district-wise range of annual average rainfall with a
            68% probability (average annual rainfall ± 1 SD). The probability graph indicates that all districts in Haryana can expect rainfall
            within the range of 168 mm/year to 1346 mm/year with a 68% probability. Based on available data, Yamunanagar experiences the
            highest annual rainfall, ranging from 780 mm to 1346 mm with a 68% probability. However, some studies have identified
            Panchkula district as having the highest average annual rainfall. Since data for Panchkula was unavailable, the nearest station
            data  from  Ambala  was  used  to  create  the  rainfall  probability  graph  (3a).  As  a  result,  the  highest  rainfall  is  observed  in
            Yamunanagar district of Haryana. On the other hand, Sirsa District has the lowest annual average rainfall, ranging from 168
            mm to 396 mm with a 68% probability. Additionally, the Box Plot in Graph 3b illustrates the rainfall probability.




                             The regions with low rainfall probability will require the following interventions:




                                 Implementing Water Conservation Practices: To minimize water consumption, implement
                                 water  conservation  practices  like  fixing  leaky  faucets,  using  low-flow  shower  heads,  cleaning
                                 driveways with a broom instead of a hose, and recycling greywater.







                                 Adopting Drought-Resistant Landscaping: Choose drought-resistant plants that require less
                                 water for landscaping. These plants are well-adapted to dry conditions and need minimal irrigation.
                                 Collecting and Storing Rainwater: Maximize limited rainfall by collecting and storing rainwater. for
                                 irrigation and non-potable uses.








                                 Increasing  Soil  Organic  Matter:  Enhance  soil  structure  and  water-holding  capacity  by
                                 incorporating organic matter like compost or manure into the soil.








                                 Using Efficient Irrigation Systems: Minimize water usage in agriculture with efficient irrigation
                                 systems like drip irrigation or micro-sprinklers.



                                                                                                                                                        Graph 3. District-wise Rainfall Probability (1951 - 2023)
                                                                                                                                                                 (a) Probability graph and (b) Box plot


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