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

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.

2020 ◽  
Vol 31 (15) ◽  
pp. 2168-2184
Author(s):  
Marye Belete ◽  
Jinsong Deng ◽  
Ghali A. Abubakar ◽  
Menberu Teshome ◽  
Ke Wang ◽  
...  

2018 ◽  
Vol 10 (3) ◽  
pp. 554-568 ◽  
Author(s):  
Janaki Ballav Swain ◽  
Kanhu Charan Patra

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.


2018 ◽  
Vol 2 (2) ◽  
pp. 195
Author(s):  
Alfin Murtadho ◽  
Siti Wulandari ◽  
Muhammad Wahid ◽  
Ernan Rustiadi

<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>


Author(s):  
D. Akyürek ◽  
Ö. Koç ◽  
E. M. Akbaba ◽  
F. Sunar

<p><strong>Abstract.</strong> In recent years, especially in metropolitan cities such as Istanbul, the emerging needs of the increasing population and demand for better air transportation capacity have led to big environmental changes. One of them is originated due to the construction of the new airport (Istanbul Grand Airport &amp;ndash; IGA), located on the Black Sea coast on the European side of Turkey and expected as “The biggest hub in Europe” by the early 2020s. The construction has five phases and first construction phase is scheduled to finish up by the end of 2018. With an advanced space technologies including remote sensing, environmental consequences due to Land Use/Land Cover changes (LULC) can be monitored and determined efficiently. The aim of this paper is to analyse LULC changes especially in the forest areas and water bodies by using two different satellite image dataset. In this context, supervised classification method and different spectral indices are applied to both Landsat-8 (2013&amp;ndash;2017) and Sentinel 2A (2015&amp;ndash;2017) image datasets to demonstrate the total and annual changes during the construction of the first phase. The efficiency of two datasets is outlined by comparison of the output thematic map accuracies.</p>


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