and 2000 were analyzed to track land use change of Taihu basin by TM/ETM image explanation. A cell-based non-point source pollution model is developed by combining the distributed hydrological model with the runoff concentration parameters of different land use types
and nitrogen utputs response of land use change are estimated by simulating the runoff volume and nitrogen fluxes usinglong-term rain records from 1980 to 2000. The results express that the modeled runoff volume and nitrogen outputs match well with the observed ones. For the entire basin between 1985 and 2000
the urban area increased about 40.38%
about 3.88% of the whole basin area. The land use changes result in runoff volume increase of 4.11% on average. Total nitrogen outputs increase 5.35% on average and 21.26% on maximum respectively. Nutrient output response varies according to the extent of land use changes in different parts of the basin and rain feature. In Suxichang and Pudongpuxi sub-regions
with more extent of land use changes
total nitrogen outputs increase 17. 11% and 10.72% on average respectively
Simulation of Nutrient Fluxes Response of Land Use Change in Taihu Basin
Spatiotemporal Evolution and Prediction of Water Conservation Capacity in Kuye River Basin Based on InVEST and CA-Markov Models
Distribution Characteristics of Soil Organic Carbon Density in Beijing-Tianjin Sandstorm Source Control Project Area
Temporal and Spatial Characteristics of Water Quality in the Taihu Basin Jiangsu Section Linkage with Landscape Patterns
Spatial and Temporal Correlation Analysis and Prediction of Land Use Ecological Risk and Carbon Stock in Yunnan Province
Related Author
LI Heng-peng
YANG Gui-shan
LI Yan
GAO Haosong
QIN Fucang
WU Yihan
DONG Xiaoyu
ZHOU Yongqin
Related Institution
College of Desert Management, Inner Mongolia Agricultural University
Inner Mongolia Academy of Forestry Sciences
Ecological Protection and Development Coordination Service Center of Dongsheng District
State Key Laboratory of Earth Surface Processes and Hazards Risk Governance, MOE Engineering Research Center of Desertification and Blown-Sand Control, Faculty of Geographical Science, Beijing Normal University
Institute of Geographical Sciences, Hebei Academy of Sciences