Vol. 03 (01), December, 2022, pp. 44-53
COMPARISON OF EXTREME WIND DRIVEN RAIN EXPOSURE MAP OF INDIA BY INVERSE DISTANCE WEIGHTED METHOD(IDW) AND KRINGING INTERPOLATION METHOD
Abstract
Wind Driven Rain (WDR) is referred to as the most important source of moisture intrusion in the vertical building facades. It has been a major source of concern from the durability aspects of a building as adequate information about it is required for a good hygrothermal performance of a building. Rain with simultaneous occurrence of wind gives rise to an oblique intensity rain vector which is referred to as WDR. The exposure of the facades of a building to WDR is significantly important to calculate the wet load and adopt suitable measures to protect the building. The WDR distribution on the vertical building fa ade depends on wind speed and rainfall intensity. It is also affected by climatic conditions as per geographical location, components of building and materials used for construction of wall surface. India is a large country with complex geographical features and varied climates in various regions. Hence to promote the construction of sustainable building construction and facilitate the renovation of existing buildings in India, it is necessary to calculate the amount of WDR in various regions of India to draw WDR map of India. In this paper WDR map using data of 61 years (1951-2010) has been used to calculate the Driving Rain Index (DRI) values. Then by using the Inverse Distance Weighted (IDW) method and Kringing method of ArcGIS the WDR map is prepared and then comparison has been done. It is found that the Kringing method of interpolation to prepare WDR map gives more accurate results.
