Quantitatively analyze the impact of land use/land cover change on annual runoff decrease

2014 ◽  
Vol 74 (2) ◽  
pp. 1191-1207 ◽  
Author(s):  
Jianzhu Li ◽  
Senming Tan ◽  
Fulong Chen ◽  
Ping Feng
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Annual Runoff ◽  
Land Use Land Cover ◽  
Runoff Decrease ◽  
The Impact

scholarly journals The Impact of Land Use/Land Cover Change (LULCC) on Water Resources in a Tropical Catchment in Tanzania under Different Climate Change Scenarios

2019 ◽  
Vol 11 (24) ◽  
pp. 7083 ◽  
Author(s):  
Kristian Näschen ◽  
Bernd Diekkrüger ◽  
Mariele Evers ◽  
Britta Höllermann ◽  
Stefanie Steinbach ◽  
...  
Keyword(s):  
Climate Change ◽  
Land Use ◽  
Water Resources ◽  
Land Cover ◽  
Water Balance ◽  
Land Cover Change ◽  
Sub Saharan Africa ◽  
Climate Change Scenarios ◽  
Land Use Land Cover ◽  
The Impact

Many parts of sub-Saharan Africa (SSA) are prone to land use and land cover change (LULCC). In many cases, natural systems are converted into agricultural land to feed the growing population. However, despite climate change being a major focus nowadays, the impacts of these conversions on water resources, which are essential for agricultural production, is still often neglected, jeopardizing the sustainability of the socio-ecological system. This study investigates historic land use/land cover (LULC) patterns as well as potential future LULCC and its effect on water quantities in a complex tropical catchment in Tanzania. It then compares the results using two climate change scenarios. The Land Change Modeler (LCM) is used to analyze and to project LULC patterns until 2030 and the Soil and Water Assessment Tool (SWAT) is utilized to simulate the water balance under various LULC conditions. Results show decreasing low flows by 6–8% for the LULC scenarios, whereas high flows increase by up to 84% for the combined LULC and climate change scenarios. The effect of climate change is stronger compared to the effect of LULCC, but also contains higher uncertainties. The effects of LULCC are more distinct, although crop specific effects show diverging effects on water balance components. This study develops a methodology for quantifying the impact of land use and climate change and therefore contributes to the sustainable management of the investigated catchment, as it shows the impact of environmental change on hydrological extremes (low flow and floods) and determines hot spots, which are critical for environmental development.

scholarly journals Perkembangan Wilayah dan Perubahan Tutupan Lahan di Kabupaten Purwakarta sebagai Dampak dari Proses Konurbasi Jakarta-Bandung

2018 ◽  
Vol 2 (2) ◽  
pp. 195
Author(s):  
Alfin Murtadho ◽  
Siti Wulandari ◽  
Muhammad Wahid ◽  
Ernan Rustiadi
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Regional Development ◽  
Land Cover Change ◽  
Urban Expansion ◽  
Satellite Image ◽  
Water Bodies ◽  
Urban Region ◽  
Land Use Land Cover ◽  
The Impact

<p class="ISI-Paragraf">Jabodetabek and Bandung Raya metropolitan region experienced an urban expansion phenomenon that caused the two metropolitan regions to become increasingly connected by a corridor and form a mega-urban region caused by the conurbation process. Purwakarta regency is one of the regions in Jakarta-Bandung corridor that experienced the impact of Jakarta-Bandung conurbation process. This study aims to analyze the level of regional development, to analyze land cover change that occurred, and to predict Purwakarta Regency land use/land cover in 2030. Regional development analysis is done by using the Scalogram method based on Potential Village data of year 2003 and 2014. Land cover change analysis is done through spatial analysis by overlaying land cover Landsat Satellite Image of year 2000 and 2015. Land use/land cover prediction in 2030 is conducted through spatial modelling of Cellular Automata Markov method. Purwakarta Regency experienced an increase in regional development within the period of 11 years (2003 to 2014), which is marked by a decrease in the percentage of the number of villages that are in hierarchy III and increase in the percentage of the number of villages that are in hierarchy II and I. In general, within 15 years (2000 to 2015) Purwakarta Regency has increasing number of built-up area and mixed gardens, meanwhile dry land, forest, paddy field, and water bodies tend to decrease. The results of CA Markov analysis show that the built-up area is predicted to continue to increase from 2000 to 2030, meanwhile paddy fields and water bodies will continue to decrease.</p>

scholarly journals The impact of land use/land cover change on ecosystem services in Golestan province

2019 ◽  
Vol 17 (2) ◽  
pp. 43-56
Author(s):  
حمیدرضا کامیاب ◽  
نسیم شعبانی
Keyword(s):  
Land Use ◽  
Ecosystem Services ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
Golestan Province ◽  
The Impact

scholarly journals How many RCM ensemble members provide confidence in the impact of land-use land cover change?

2016 ◽  
Vol 37 (4) ◽  
pp. 2080-2100 ◽  
Author(s):  
Patrick Laux ◽  
Phuong N. B. Nguyen ◽  
Johannes Cullmann ◽  
Tan Phan Van ◽  
Harald Kunstmann
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Land Use Land Cover ◽  
The Impact

A study of decadal Land use-land cover change in Dehradun city.

2021 ◽  
Author(s):  
Gayatri Singh
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Change Detection ◽  
Land Cover Change ◽  
Water Levels ◽  
Physical Factors ◽  
Infrastructure Development ◽  
Land Use Land Cover ◽  
Detection Analysis ◽  
The Impact

&lt;p&gt;The present study is to quantify the spatial-temporal pattern of the Land Use/ Land Cover Change (LULCC) during a decade (i.e., 2010 to 2020) in the Dehradun city which is situated in the foothills of the Himalaya, using Landsat data. The study helps in identifying the major bio-physical factors governing LULCC through modern geospatial techniques. Change detection shows that the study area experienced an increase in its urban area from 2010 to 2020 and a comparatively decrease in cropland and forest area. This was due to an increase in its urban population, rapid increase in industrialization and tourism during the same period. The change detection analysis further shows that 2010-2020, associated with change in croplands, change in built-up, forest lands, change in water-bodies, water levels, and rainfall. With comparison of above results and collected socio-economic data in this region, the impact of changing land use &amp; bio-physical/ economic factors on agricultural profitability were analyzed. The result of this study could thus lead to a detailed and lucid spatiotemporal assessment of the major bio-physical factors. It is expected that the study will help in facilitating better policy making and infrastructure development for industries and urbanization.&lt;br&gt;&lt;br&gt;&lt;/p&gt;

scholarly journals IMPACT OF LAND USE LAND COVER CHANGE ON RUN OFF GENERATION IN TUNGABHADRA RIVER BASIN

2018 ◽  
Vol IV-5 ◽  
pp. 367-374 ◽  
Author(s):  
K. Venkatesh ◽  
H. Ramesh
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
River Basin ◽  
Stream Flow ◽  
Swat Model ◽  
Coefficient Of Determination ◽  
Land Use Land Cover ◽  
North East ◽  
The Impact

<p><strong>Abstract.</strong> Streamflow can be affected by a number of aspects related to land use and can vary promptly as those factors change. Urbanization, deforestation, mining, agricultural practices and economic growth are some of the factors related to these land use changes which alter the stream flow. In the present study, the impact of land use land cover change (LULC) on stream flow is studied by using SWAT model for Tungabhadra river basin, located in the state of Karnataka, India. Tungabhadra river originates in the Western Ghats of Karnataka and flows towards north-east and joins the river Krishna. The land use maps of 1993, 2003 and 2018 are used for assessing the stream flow changes with respect to LULC. Calibration and validation of the model for streamflow was carried out using the SUFI-2 algorithm in SWAT-CUP for the years 1983&amp;ndash;1993 and 1994&amp;ndash;2000 respectively. Statistical parameters namely Coefficient of Determination (R<sup>2</sup>) &amp;amp; Nash–Sutcliffe (N-S) were used to assess the efficiency and performance of the SWAT model. It was found that the observed and simulated streamflow values are closely matching, which in turn projects that the model results are acceptable. The calibrated model was used for simulation of future dynamic land use scenario to assess the impact on streamflow. The results can be used for conservation of water and soil management.</p>

scholarly journals Assessing the Impact of Land-Use Land-Cover Change on Stream Water and Sediment Yields at a Watershed Level Using SWAT

2015 ◽  
Vol 05 (03) ◽  
pp. 68-85 ◽  
Author(s):  
Wubishet Tadesse ◽  
Stephanie Whitaker ◽  
William Crosson ◽  
Constance Wilson
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Land Cover Change ◽  
Stream Water ◽  
Land Use Land Cover ◽  
Sediment Yields ◽  
Water And Sediment ◽  
The Impact
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