AI SearchAnalysis and forecasting of snow cover using ANN in Kaligandaki Basin, Nepal (Record no. 4507)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05342nas a2200469 a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20260817162253.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 110221s2010 th uu|m rtt 0| a1eng d |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | .b12112501 |
| 099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | AIT Thesis no.RS-11-04 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Mishra, Bhogendra |
| 245 10 - TITLE STATEMENT | |
| Title | Analysis and forecasting of snow cover using ANN in Kaligandaki Basin, Nepal |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Pathum Thani, Thailand : |
| Name of publisher, distributor, etc. | Asian Institute of Technology, |
| Date of publication, distribution, etc. | 2011 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 75 leaves : |
| Other physical details | ill. |
| 490 1# - SERIES STATEMENT | |
| Series statement | Thesis ; |
| Volume/sequential designation | no. RS-11-04 |
| 500 ## - GENERAL NOTE | |
| General note | A thesis submitted in partial fulfillment of the requirements fo r the degree of Master of Science in Remote Sensing and Geographic lnfonnation Systems, School of Engineering and Technology |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M. Sci.) - Asian Institute of Technology, 2011 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | As Himalayas has been considered as one of the most vulnerable region in the world from the climate change point of view, it is very important to study about the trends of climate variability and snow cover area in higher mountainous regions. On the other hand, timely and accurate data are always a big problem in this kind of study. Hence, this study aims primarily to access the usability of various remote sensing data, and identifying the bias and calibration based on the observed dataset. Secondarily, trend analysis using nonparametric techniques was carried out. Finally, snow cover area has been forecasted using an artificial neural network based on HadCM A2 scenario. It is shown that remote sensing technology can detect the spatial-temporal pattern of temperature and snow cover in an inaccessible terrain of Himalayas but the precipitation data obtained from remote sensing do not seem reliable. Similarly, the MODIS products have already been ensuring in different region of the world in different ways, but the accuracy of MODIS snow products have still not ensured in the Himalayas. Therefore, MODlOAl snow product was also related with ASTER snow cover area in this study by assuming that the ASTER has 1003 accuracy. And it was found that MODlOAl has approximately 813 accuracy with respect to ASTER snow cover. Nonparametric-methods (ie. Mann-Kendall and Sens) were used to identify the trend. Increasing trends of temperature, approximately 0.03°Cyr-1 was obtained from the test whereas the mixed seasonal trend of precipitation was obtained. In general, we can conclude that, there is the increasing trend in summer and spring and decreasing trend in winter. Therefore, the flash floods and winter droughts are also increasing in the region. While talking about snow cover area, a significant negative winter and spring snow cover trend was identified. Consequently the glacier retreatment was also noticed significantly. From the analysis, it is concluded that there is clear indications that the regional warming is affecting the precipitation and snow cover area in the Himalayas. Similarly in another study, Artificial Neural Network (ANN) models were developed to predict monthly snow cover area in higher Himalayas based on the selected GCM as input. Two types of models were used to forecast, one was time series and another war normal. The accuracy of both models obviously depends on the accuracy of input climatic variables. But, the accuracy gradually goes down on increasing the lead time in NARX time series network. Whereas the accuracy remains same for GRNN till the indefinite time, but it solely depends with the accuracy of input variables. While comparing the performance of two networks NARX gives the better result for the short lead time where as GRNN, the second network, seems better for the longer lead time. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Snow |
| General subdivision | Forecasting |
| Geographic subdivision | Nepal |
| -- | Kaligandaki Basin |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Tripathi, Nitin Kumar, |
| Relator term | Chairperson |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Babel, Mukand Singh, |
| Relator term | Examination Committee |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Taravudh Tipdecho, |
| Relator term | Examination committee |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Government of Japan, |
| Relator term | Scholarship donor |
| 810 2# - SERIES ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Asian Institute of Technology. |
| Title of a work | Thesis ; |
| Volume/sequential designation | no. RS-11-04 |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Full-Text |
| Uniform Resource Identifier | <a href="http://203.159.5.9/ait-thesis/detail.php?q=B11312">http://203.159.5.9/ait-thesis/detail.php?q=B11312</a> |
| 907 ## - LOCAL DATA ELEMENT G, LDG (RLIN) | |
| a | .b12112501 |
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| 998 ## - LOCAL CONTROL INFORMATION (RLIN) | |
| Operator's initials, OID (RLIN) | 0 |
| Cataloger's initials, CIN (RLIN) | 130909 |
| First date, FD (RLIN) | m |
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| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | 20-AIT Publication |
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| Koha item type | 40-Archives |
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| Withdrawn status | Lost status | Damaged status | Not for loan | Home library | Current library | Shelving location | Date acquired | Cost, normal purchase price | Total checkouts | Full call number | Barcode | Date last seen | Copy number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | 50.00 | AIT Thesis no.RS-11-04 | 30050120590020 | 17/08/2026 | 1 | 17/08/2026 | 20-AIT Publication | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | AIT Publications | 17/08/2026 | 50.00 | AIT Thesis no.RS-11-04 | 30050120589899 | 17/08/2026 | 2 | 17/08/2026 | 20-AIT Publication | ||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.RS-11-04 | 30050160016787 | 17/08/2026 | 17/08/2026 | 40-Archives | ||||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | AIT Thesis no.RS-11-04 | 30050120993265 | 17/08/2026 | 3 | 17/08/2026 | 20-AIT Publication | |||||
| Available for Loans | Asian Institute of Technology Library | Asian Institute of Technology Library | Archives | 17/08/2026 | 50.00 | AIT Thesis no.RS-11-04 | 30050211017073 | 17/08/2026 | 4 | 17/08/2026 | 20-AIT Publication |