Simulation of River Flow for Downstream Water Allocation in the Heihe River Watershed, Northwest China - Landscape Ecology for Sustainable Environment and Culture - page 171

Table 9.1 Input Variables for the DLBRM, sourced from CAREERI

Variables Databases

Elevation Digital elevation model (DEM)

Flow direction DEM

Slope DEM

Land use Land use database

Depth of upper soil zone (USZ) Compiled soil database

Depth of lower soil zone (LSZ) Compiled soil database

Available water capacity (%) of USZ Compiled soil database

Available water capacity of LSZ Compiled soil database

Permeability of USZ Compiled soil database

Permeability of LSZ Compiled soil database

Soil texture Compiled soil database

Manning's coefficient value Land use, slope, and soil texture

Table 9.2 Time series
meteorological and flow
variables for the DLBRM,
sourced from CAREERI

Variables Databases

Daily precipitation Gansu Bureau of Meteorology

Daily air temperature Gansu Bureau of Meteorology

Daily solar isolation Gansu Bureau of Meteorology

Daily flows Gansu Bureau of Hydrology

hydrography are used by the interface through the draw-down menu to derive input
variables for the DLBRM (He et al. 2001 ;He 2003 ; He and Croley 2007b ). The
derived variables for each of the cells include: elevation, flow direction, slope, land
use, Manning's coefficient (n) values, soil texture, USZ and LSZ depths, available
water capacity, and, permeability, as well as daily precipitation, air temperature,
and solar isolation. DLBRM outputs include, for every cell, surface runoff, ET,
infiltration, percolation, interflow, deep percolation, groundwater flow, USZ, LSZ
groundwater, and surface moisture storages, and lateral flows between USZ, LSZ,
groundwater, and the surface (Tables 9.1 and 9.2 ). The outputs can be examined
either in tabular or map format using the interface.

9.2.3 DLBRM Input Data

The combined upper and middle reaches of the Heihe River Watershed were
discretized into a grid network of 9,790 cells at 4 km 2 resolution. Multiple dat-
abases of DEM (at 100 m resolution), land use/cover for the year 2000, meteo-
rological and hydrological databases for 1978-2000 were provided by The
Chinese Academy of Sciences (CAS) Cold and Arid Regions Environmental and
Engineering Research Institute (CAREERI). These databases were used to derive
relevant input variables for the DLBRM using the AVDLBRM interface for each