Impact assessment of land use/land cover and climate change on streamflow regionalization in an ungauged catchment

2018 ◽  
Vol 10 (3) ◽  
pp. 554-568 ◽  
Author(s):  
Janaki Ballav Swain ◽  
Kanhu Charan Patra
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Climate Variability ◽  
Assessment Tool ◽  
Land Use Land Cover ◽  
Ungauged Catchment ◽  
Distance Weighted ◽  
Two Factors ◽  
Hydrological Prediction ◽  
Set Up

Abstract The variation in land use/land cover (LULC) and climate have a direct impact on the accuracy of any hydrological prediction. However, quantification of the effect of these two factors in an ungauged catchment setting is less discussed. Soil and Water Assessment Tool (SWAT) in combination with two regionalization techniques, i.e., Inverse Distance Weighted (IDW) and Kriging were applied on 32 catchments in India where each catchment was considered as ungauged at least once. The combined and isolated impacts of LULC change (LULCC) and climate variability on streamflow for the period of 1990–2011 were quantified at an annual scale through four different cases. Satisfactory results were obtained from SWAT for the analysis of both the gauged and ungauged set-up. The overall outcomes suggest that, due to the influence of the combined effects of LULCC and climate variability, there was a decrease in the annual streamflow volume by more than 21% from the first period (1990–2000) to the second period (2001–2011) in the selected catchment treated as ungauged. The variable climate factor overshadowed the effect of LULCC. The result may be correlated with the increase in temperature and the decrease in rainfall volume, which is distinctive in a monsoon-dominated country like India.

scholarly journals Developing Land Use Land Cover Maps for the Lower Mekong Basin to Aid Hydrologic Modeling and Basin Planning

2018 ◽  
Vol 10 (12) ◽  
pp. 1910 ◽  
Author(s):  
Joseph Spruce ◽  
John Bolten ◽  
Raghavan Srinivasan ◽  
Venkat Lakshmi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Satellite Data ◽  
Reference Data ◽  
Assessment Tool ◽  
Deciduous Forest ◽  
Land Use Land Cover ◽  
Modis Ndvi ◽  
Mekong Basin ◽  
Lower Mekong Basin

This paper discusses research methodology to develop Land Use Land Cover (LULC) maps for the Lower Mekong Basin (LMB) for basin planning, using both MODIS and Landsat satellite data. The 2010 MODIS MOD09 and MYD09 8-day reflectance data was processed into monthly NDVI maps with the Time Series Product Tool software package and then used to classify regionally common forest and agricultural LULC types. Dry season circa 2010 Landsat top of atmosphere reflectance mosaics were classified to map locally common LULC types. Unsupervised ISODATA clustering was used to derive most LULC classifications. MODIS and Landsat classifications were combined with GIS methods to derive final 250-m LULC maps for Sub-basins (SBs) 1–8 of the LMB. The SB 7 LULC map with 14 classes was assessed for accuracy. This assessment compared random locations for sampled types on the SB 7 LULC map to geospatial reference data such as Landsat RGBs, MODIS NDVI phenologic profiles, high resolution satellite data, and Mekong River Commission data (e.g., crop calendars). The SB 7 LULC map showed an overall agreement to reference data of ~81%. By grouping three deciduous forest classes into one, the overall agreement improved to ~87%. The project enabled updated regional LULC maps that included more detailed agriculture LULC types. LULC maps were supplied to project partners to improve use of Soil and Water Assessment Tool for modeling hydrology and water use, plus enhance LMB water and disaster management in a region vulnerable to flooding, droughts, and anthropogenic change as part of basin planning and assessment.

scholarly journals Evolution de l’occupation des sols dans la partie Nord du Dallol Bosso, départements de Filingué et Balleyara, région de Tillabéri-Niger

2018 ◽  
Vol 14 (30) ◽  
pp. 391
Author(s):  
Issoufou Maigary ◽  
Boureïma Ousmane ◽  
Ado Dankarami
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Climate Variability ◽  
Surface Area ◽  
Satellite Image ◽  
Total Surface Area ◽  
Land Use Land Cover ◽  
Climate Variability And Change ◽  
Natural Plant ◽  
Balanced Development

The departments of Filingué and Balleyara, which are our study area, are located in the northern part of Dallol Bosso, Tillabéri region in western Niger. This study area is circumscribed between 13 ° 35 'and 14 ° 40' north latitudes and 2 ° 50 'and 3 ° 30' East longitude. The effects of climate variability and change in the region since the 1970s have had significant impacts on ecosystems. This paper focuses on analyzing the dynamics of land use land cover in that area. The methodology based on the interpretation of the satellite image for 1972, 1987 and 2016 has led to important results. Thus, there is a notable decline in areas covered by natural plant formations (tiger bush and steppe). Indeed, they range from 28.79% in 1972 to 12.15% in 2016 of the total surface area of the study area. However, farmland increased from 164772 ha in 1972 to 200 697 ha in 2016, an increase of 22%. In addition, the bare spaces which were only 666 ha in 1972 moved to 4189 ha, an increase of more than 500%. Finally, the number of semi-permanent pools rose from 219 to 833 from 1972 to 2016, while the number of Koris increased from 280 to 1573 during the same period, an increase of more than 400%. It seems necessary to take urgent measures to safeguard the ecosystems of the region to allow a more balanced development of the area.

scholarly journals Partitioning the impacts of land use/land cover change and climate variability on water supply over the source region of the Blue Nile Basin

2020 ◽  
Vol 31 (15) ◽  
pp. 2168-2184
Author(s):  
Marye Belete ◽  
Jinsong Deng ◽  
Ghali A. Abubakar ◽  
Menberu Teshome ◽  
Ke Wang ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Climate Variability ◽  
Water Supply ◽  
Land Cover Change ◽  
Source Region ◽  
Land Use Land Cover ◽  
Nile Basin ◽  
Blue Nile ◽  
Blue Nile Basin

scholarly journals Analysis of Changes in Land Use/Land Cover and Hydrological Processes Caused by Earthquakes in the Atsuma River Basin in Japan

2021 ◽  
Vol 13 (23) ◽  
pp. 13041
Author(s):  
Yuechao Chen ◽  
Makoto Nakatsugawa
Keyword(s):  
Land Use ◽  
Sediment Transport ◽  
Land Cover ◽  
River Basin ◽  
Assessment Tool ◽  
Swat Model ◽  
Land Use Land Cover ◽  
Sediment Transportation ◽  
Bare Land ◽  
Safety And Stability

The 2018 Hokkaido Eastern Iburi earthquake and its landslides threaten the safety and stability of the Atsuma River basin. This study investigates land use and land cover (LULC) change by analyzing the 2015 and 2020 LULC maps of the basin, and its impact on runoff and sediment transport in the basin by using the soil and water assessment tool (SWAT) model to accurately simulate the runoff and sediment transport process. This study finds that the earthquake and landslide transformed nearly 10% of the forest into bare land in the basin. The simulation results showed that the runoff, which was simulated based on the 2020 LULC data, was slightly higher than that based on the 2015 LULC data, and the sediment transport after the earthquake is significantly higher than before. The rate of sediment transportation after the earthquake, adjusted according to the runoff, was about 3.42 times more than before. This shows that as the forest land decreased, the bare land increased. Conversely, the runoff increased slightly, whereas the sediment transport rate increased significantly in the Atsuma River basin after the earthquake. In future, active governance activities performed by humans can reduce the amount of sediment transport in the basin.

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