SNDT WOMEN'S UNIVERSITY
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Machine learning-based verification of satellite weather alerts for heavy rainfall in Ladakh (Record no. 132574)
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| fixed length control field | 01396nam a2200145 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250825b |||||||| |||| 00| 0 eng d |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Nita H. Shah1 |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning-based verification of satellite weather alerts for heavy rainfall in Ladakh |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | pp63-69 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. biblio.abstract | The present study investigates heavy rainfall patterns<br/>and their variability in Ladakh by using K-means clustering with the Apriori algorithm, which uncovers<br/>the co-occurrence pattern of heavy rainfall alerts obtained from the ISRO MOSDAC portal. The proposed<br/>algorithms reveal that location (lat.: min. = 32.82,<br/>max. = 35.71; long.: min. = 77.59, max. = 79.91)<br/>and location (lat.: min. = 33.11, max. = 35.76; long.:<br/>min. = 75.82, max. = 77.75) exhibit the highest confidence (79.55%) and frequency (48.61%) among all<br/>patterns, indicating strong interdependencies. This<br/>suggests that the alerts in one location can potentially impact the other, offering actionable guidance<br/>for disaster preparedness. The present study highlights a significant match between predicted alerts and<br/>actual heavy rainfall events, underscoring the utility<br/>of machine learning in refining weather alert systems |
| 654 ## - SUBJECT ADDED ENTRY--FACETED TOPICAL TERMS | |
| Subject | <a href="Apriori algorithm">Apriori algorithm</a> |
| -- | <a href="disaster management">disaster management</a> |
| -- | <a href="heavy rainfall alert">heavy rainfall alert</a> |
| -- | <a href=" K-means clustering."> K-means clustering.</a> |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Jyoti Chahal1 |
| 773 0# - HOST ITEM ENTRY | |
| Host Biblionumber | 125299 |
| Host Itemnumber | 113439 |
| Title | Current Science |
| International Standard Serial Number | 0011-3891 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Journal Article |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Location (home branch) | Sublocation or collection (holding branch) | Date acquired | Koha issues (times borrowed) | Piece designation (barcode) | Koha date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | SNDT Juhu | SNDT Juhu | 25/08/2025 | jp861.5 | 25/08/2025 | 25/08/2025 | Journal Article |