Evaluation of land use change and groundwater use impact on stream drying phenomena using a grid-based continuous hydrologic model

2016 ◽  
Vol 15 (1) ◽  
pp. 111-122 ◽  
Author(s):  
Chung Gil Jung ◽  
Seong Joon Kim
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Hydrologic Model ◽  
Groundwater Use ◽  
Stream Drying ◽  
Grid Based

scholarly journals Effects of Urbanization on Watershed Evapotranspiration and Its Components in Southern China

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 645 ◽  
Author(s):  
Qingzhou Zheng ◽  
Lu Hao ◽  
Xiaolin Huang ◽  
Lei Sun ◽  
Ge Sun
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Land Surface ◽  
Southern China ◽  
Hydrologic Model ◽  
Water Evaporation ◽  
Water Yield ◽  
Positive Trend ◽  
Significant Downward Trend ◽  
Effects Of Land Use

Understanding the effects of land use change on evapotranspiration (ET) and its partitioning to transpiration and evaporation is important for accurately evaluating the likely environmental impacts on watershed water supply, climate moderation, and other ecosystem services (e.g., carbon sequestration and biodiversity). This study used a distributed hydrologic model, MIKE SHE, to partition evapotranspiration into soil evaporation, transpiration, ponded water evaporation, and interception, and examined how the ET partitions affected the water balance in the Qinhuai River Basin from 2000 to 2013. Simulated daily ET was compared to measurements at an eddy flux research site during 2016–2017 (R2 = 0.72). Degradation in rice-wheat rotation fields and expansion of impervious surfaces impacted not only total watershed evapotranspiration, which showed a significant downward trend (p < 0.05), but also its partitioning. A significant (p < 0.01) decrease in transpiration was detected. Ponded water evaporation was the only ET partition that exhibited a significant positive trend (p < 0.05). We concluded that the reduced transpiration as a result of land use and land cover change was the primary factor driving the variation of watershed scale evapotranspiration. In addition, there was an increase in annual water yield (23%) as a response to significant reduction in ET (7%) due to a 175% expansion of urban area in the study watershed. Our study provided insights to the mechanisms of land surface–water cycle interaction and better understanding of the effects of land use change on urban micro-climate such as “urban dry island” and “urban heat island” effects.

Impacts of incorporating dominant crop rotation patterns as primary land use change on hydrologic model performance

2017 ◽  
Vol 247 ◽  
pp. 33-42 ◽  
Author(s):  
Jungang Gao ◽  
Aleksey Y. Sheshukov ◽  
Haw Yen ◽  
Jude H. Kastens ◽  
Dana L. Peterson
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Crop Rotation ◽  
Model Performance ◽  
Hydrologic Model

scholarly journals An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

2013 ◽  
Vol 17 (6) ◽  
pp. 2233-2246 ◽  
Author(s):  
P. D. Wagner ◽  
S. Kumar ◽  
K. Schneider
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
Water Balance ◽  
Assessment Tool ◽  
Land Use Changes ◽  
Hydrologic Model ◽  
Water Yield ◽  
Catchment Scale ◽  
Basin Scale

Abstract. Land use changes are altering the hydrologic system and have potentially large impacts on water resources. Rapid socio-economic development drives land use change. This is particularly true in the case of the rapidly developing city of Pune, India. The present study aims at analyzing past land use changes between 1989 and 2009 and their impacts on the water balance in the Mula and Mutha Rivers catchment upstream of Pune. Land use changes were identified from three Rivers catchment multitemporal land use classifications for the cropping years 1989/1990, 2000/2001, and 2009/2010. The hydrologic model SWAT (Soil and Water Assessment Tool) was used to assess impacts on runoff and evapotranspiration. Two model runs were performed and compared using the land use classifications of 1989/1990 and 2009/2010. The main land use changes were identified as an increase of urban area from 5.1% to 10.1% and cropland from 9.7% to 13.5% of the catchment area during the 20 yr period. Urbanization was mainly observed in the eastern part and conversion to cropland in the mid-northern part of the catchment. At the catchment scale we found that the impacts of these land use changes on the water balance cancel each other out. However, at the sub-basin scale urbanization led to an increase of the water yield by up to 7.6%, and a similar decrease of evapotranspiration, whereas the increase of cropland resulted in an increase of evapotranspiration by up to 5.9%.

Modelling the hydrologic effects of dynamic land-use change using a distributed hydrologic model and a spatial land-use allocation model

2010 ◽  
Vol 24 (18) ◽  
pp. 2538-2554 ◽  
Author(s):  
Hone-Jay Chu ◽  
Yu-Pin Lin ◽  
Chun-Wei Huang ◽  
Cheng-Yu Hsu ◽  
Horng-Yng Chen
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Hydrologic Model ◽  
Allocation Model ◽  
Distributed Hydrologic Model ◽  
Land Use Allocation

scholarly journals An assessment of land use change impacts on the water resources of the Mula and Mutha Rivers catchment upstream of Pune, India

2013 ◽  
Vol 10 (2) ◽  
pp. 1943-1985 ◽  
Author(s):  
P. D. Wagner ◽  
S. Kumar ◽  
K. Schneider
Keyword(s):  
Land Use ◽  
Water Resources ◽  
Land Use Change ◽  
Water Balance ◽  
Assessment Tool ◽  
Land Use Changes ◽  
Hydrologic Model ◽  
Water Yield ◽  
Catchment Scale ◽  
Basin Scale

Abstract. Land use changes are altering the hydrologic system and have potentially large impacts on water resources. Rapid socio-economic development drives land use change. This is particularly true in the case of the rapidly developing city of Pune, India. The present study aims at analyzing past land use changes between 1989 and 2009 and their impacts on the water balance in the Mula and Mutha Rivers catchment upstream of Pune. Land use changes were identified from three multitemporal land use classifications for the cropping years 1989/1990, 2000/2001, and 2009/2010. The hydrologic model SWAT (Soil and Water Assessment Tool) was used to assess impacts on runoff and evapotranspiration. Two model runs were performed and compared using the land use classifications of 1989/1990 and 2009/2010. The main land use changes were identified as an increase of urban area from 5.1% to 10.1% and cropland from 9.7% to 13.5% of the catchment area during the 20 yr period. Urbanization was mainly observed in the eastern part and conversion to cropland in the mid-northern part of the catchment. At the catchment scale we found that the impacts of these land use changes on the water balance cancel each other. However, at the sub-basin scale urbanization led to an increase of the water yield by up to 7.6%, and a similar decrease of evapotranspiration, whereas the increase of cropland resulted in an increase of evapotranspiration by up to 5.9%.

scholarly journals Study on Hydrologic Effects of Land Use Change Using a Distributed Hydrologic Model in the Dynamic Land Use Mode

Water ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 447
Author(s):  
Qingyan Sun ◽  
Chuiyu Lu ◽  
Hui Guo ◽  
Lingjia Yan ◽  
Xin He ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Hydrologic Model ◽  
Sanjiang Plain ◽  
Hydrologic Cycle ◽  
Dynamic Mode ◽  
The Sanjiang Plain ◽  
Distributed Hydrologic Model ◽  
Cycle Simulation ◽  
Effects Of Land Use

It is reasonable to simulate the hydrologic cycle in regions with drastic land use change using a distributed hydrologic model in the dynamic land use mode (dynamic mode). A new dynamic mode is introduced into an object-oriented modularized model for basin-scale water cycle simulation (MODCYCLE), a distributed hydrologic model based on sub-watersheds, and the hydrological response unit (HRU). The new mode can linearly interpolate data for the years without land use data and consistently transfer HRU water storage between two adjacent years after a land use data update. The hydrologic cycle simulation of the Sanjiang Plain in China was carried out from 2000 to 2014 in the dynamic mode using land use maps of 2000, 2005, 2010, and 2014. Through calibration and validation, the performance of the model reached a satisfactory level. Replacing the land use data of the calibrated model using that of the year 2000, a comparison model in the static land use mode (static mode) was built (i.e., land use unchanged since 2000). The hydrologic effects of land use change were analyzed using the two models. If the land use pattern remained unchanged from 2000, despite the average annual runoff increasing by 4% and the average annual evapotranspiration decreasing by 4% in this region only, the groundwater storage of the plain areas in 2014 would increase by 4.6 bil. m3 compared to that in 2000, rather than the actual decrease of 4.7 bil. m3. The results show that the fluxes associated with groundwater are obviously more disturbed by land use change in the Sanjiang Plain. This study suggests that the dynamic mode should be used to simulate the hydrologic cycle in regions with drastic land use change, and the consistent transfer of HRU water storage may be considered in the dynamic mode.

scholarly journals Application of a Macroscale Hydrologic Model to Estimate Streamflow across Southeast Australia

2012 ◽  
Vol 13 (4) ◽  
pp. 1233-1250 ◽  
Author(s):  
Fangfang Zhao ◽  
Francis H. S. Chiew ◽  
Lu Zhang ◽  
Jai Vaze ◽  
Jean-Michel Perraud ◽  
...  
Keyword(s):  
Land Use ◽  
Land Use Change ◽  
Water Availability ◽  
Hydrologic Model ◽  
Estimation Methods ◽  
Spatial Proximity ◽  
Ungauged Catchments ◽  
Southeast Australia ◽  
Parameter Values ◽  
The Impact

Abstract Reliable predictions of water availability and streamflow characteristics, and the impact of climate and land use change on water availability, are central to water resources planning and management. This paper assesses the application of the widely used macroscale hydrologic model, the three-layer Variable Infiltration Capacity model (VIC-3L), to estimate daily streamflow in 191 unregulated catchments across southeast Australia and evaluates the regionalization of model parameters to predict streamflow in ungauged catchments. The parameter values in the VIC-3L model are estimated using three methods: default values, optimized values based on model calibration, and regionalized values based on spatial proximity method. The modeled streamflows from VIC-3L are assessed against the observed streamflows from the catchments. The authors discuss the model performance based on different parameter estimation methods and the effects of rainfall regimes on streamflow prediction. Also the implication of using a priori estimates of parameter values versus optimizing parameter values against observed streamflow to predict the impact of climate and land use change on streamflow is discussed. The VIC-3L model can simulate the streamflow in the catchments across southeast Australia reasonably well, with comparable results to those reported for the same region using conceptual rainfall-runoff models. The model performed better in summer-dominant rainfall catchments and wet catchments than in other catchments. The regionalization based on spatial proximity method performed reasonably well, which demonstrated the potential of VIC-3L model to predict streamflow in ungauged catchments in Australia.

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