1.

Record Nr.

UNINA9910298380803321

Autore

Fricke Katharina

Titolo

Analysis and Modelling of Water Supply and Demand Under Climate Change, Land Use Transformation and Socio-Economic Development : The Water Resource Challenge and Adaptation Measures for Urumqi Region, Northwest China / / by Katharina Fricke

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014

ISBN

3-319-01610-5

Edizione

[1st ed. 2014.]

Descrizione fisica

1 online resource (258 p.)

Collana

Springer Theses, Recognizing Outstanding Ph.D. Research, , 2190-5053

Disciplina

551.48

Soggetti

Physical geography

Hydrology

Climate change

Physical Geography

Hydrology/Water Resources

Climate Change/Climate Change Impacts

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Description based upon print version of record.

Nota di bibliografia

Includes bibliographical references.

Nota di contenuto

Introduction -- Research area -- Water balance model -- Scenarios -- Simulation results -- Projection of water consumption -- Discussion -- Outlook.

Sommario/riassunto

Located in a narrow grassland corridor between the semi-desert and a mountain range in Northwest China, the research area Urumqi Region is despite its semi-arid climate in a relatively favourable hydrological situation. The nearby mountains provide water for settlements and agriculture, making human development possible in the first place. Due to the development of agriculture, population and economy during the last sixty years and the increasing water consumption, a demand- and population-driven water scarcity exists today and is expected to aggravate. At the same time, the effects of climate change and land use transformations on the hydrological system and the water availability are uncertain. This study evaluates the recent and future situation by



combining a hydrological water balance model for the simulation of the water supply based on scenarios of climate and land use change with a socio-economic model for projecting the future water demand including predicted growth of population and economy.