testing all

Numerical Modelling of Ice Floods in the Ning-Meng Reach of the Yellow River Basin (Record no. 2152)

MARC details
000 -LEADER
fixed length control field 03107 a2200313 4500
001 - CONTROL NUMBER
control field 1138487015
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250317100409.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250312042018xx eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781138487017
037 ## - SOURCE OF ACQUISITION
Source of stock number/acquisition Taylor & Francis
Terms of availability GBP 57.99
Form of issue BB
040 ## - CATALOGING SOURCE
Original cataloging agency 01
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
072 7# - SUBJECT CATEGORY CODE
Subject category code RBK
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code KNB
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code TN
Source thema
072 7# - SUBJECT CATEGORY CODE
Subject category code RBK
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code KNBW
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code TN
Source bic
072 7# - SUBJECT CATEGORY CODE
Subject category code SCI026000
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code TEC009020
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code TEC010030
Source bisac
072 7# - SUBJECT CATEGORY CODE
Subject category code 363.349
Source bisac
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Chunqing Wang
245 10 - TITLE STATEMENT
Title Numerical Modelling of Ice Floods in the Ning-Meng Reach of the Yellow River Basin
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. CRC Press
Date of publication, distribution, etc. 20180123
300 ## - PHYSICAL DESCRIPTION
Extent 190 p
520 ## - SUMMARY, ETC.
Expansion of summary note The Ning-Meng reach of the Yellow River basin is located in the Inner Mongolia region at the Northern part of the Yellow River. Due to the special geographical conditions, the river flow direction is towards the North causing the Ning-Meng reach to freeze up every year in wintertime. Both during the freeze-up and break-up period, unfavourable conditions occur which may cause ice jamming and ice dam formation leading to dike breaching and overtopping of the embankment. Throughout history this has often led to considerable casualties and property loss. Enhanced economic development and human activities in the region have altered the characteristics of the ice regime in recent decades, leading to several ice disasters during freezing or breaking-up periods. The integrated water resources management plan developed by the Yellow River Conservancy Commission (YRCC) outlines the requirements for water regulation in the upper Yellow River during ice flood periods. YRCC is developing measures that not only safeguard against ice floods, but also assure the availability of adequate water resources. These provide the overall requirements for developing an ice regime forecasting system including lead-time prediction and required accuracy. In order to develop such a system, numerical modelling of ice floods is an essential component of current research at the YRCC, together with field observations and laboratory experiments. In order to properly model river ice processes it is necessary to adjust the hydrodynamic equations to account for thermodynamic effects. In this research, hydrological and meteorological data from 1950 to 2010 were used to analyse the characteristics of ice regimes in the past. Also, additional field observations were carried out for ice flood model calibration and validation. By combining meteorological forecasting models with statistical models, a medium to short range air temperature forecasting model for the Ning-Meng reach was established. These results were used to improve ice formation modelling and prolong lead-time prediction. The numerical ice flood model developed in this thesis for the Ning-Meng reach allows better forecasting of the ice regime and improved decision support for upstream reservoir regulation and taking appropriate measures for disaster risk reduction.

No items available.