Application of Flow Persistence Metric as an Indication of Watershed Health Under Changing Land Use and Land Cover; a Case of Maybar Watershed, South Wollo Zone, North-East Ethiopia

2021 ◽  
Author(s):  
Seid Mohammed Mussa ◽  
Daniel Wayu
2020 ◽  
Vol 39 (2) ◽  
pp. 159-173
Author(s):  
Rastislav Skalský ◽  
Štefan Koco ◽  
Gabriela Barančíková ◽  
Zuzana Tarasovičová ◽  
Ján Halas ◽  
...  

AbstractSoil organic carbon (SOC) in agricultural land forms part of the global terrestrial carbon cycle and it affects atmospheric carbon dioxide balance. SOC is sensitive to local agricultural management practices that sum up into regional SOC storage dynamics. Understanding regional carbon emission and sequestration trends is, therefore, important in formulating and implementing climate change adaptation and mitigation policies. In this study, the estimation of SOC stock and regional storage dynamics in the Ondavská Vrchovina region (North-Eastern Slovakia) cropland and grassland topsoil between 1970 and 2013 was performed with the RothC model and gridded spatial data on weather, initial SOC stock and historical land cover and land use changes. Initial SOC stock in the 0.3-m topsoil layer was estimated at 38.4 t ha−1 in 1970. The 2013 simulated value was 49.2 t ha−1, and the 1993–2013 simulated SOC stock values were within the measured data range. The total SOC storage in the study area, cropland and grassland areas, was 4.21 Mt in 1970 and 5.16 Mt in 2013, and this 0.95 Mt net SOC gain was attributed to inter-conversions of cropland and grassland areas between 1970 and 2013, which caused different organic carbon inputs to the soil during the simulation period with a strong effect on SOC stock temporal dynamics.


Elem Sci Anth ◽  
2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Rimal Abeed ◽  
Cathy Clerbaux ◽  
Lieven Clarisse ◽  
Martin Van Damme ◽  
Pierre-François Coheur ◽  
...  

The agricultural sector in Syria was heavily affected by the civil war that started in 2011. We investigate the war’s impact on the country’s atmospheric ammonia (NH3) from 2008 to 2019, using measurements from the infrared atmospheric sounding interferometer instrument on board the Metop satellites. We examine the changes in NH3 close to a fertilizer industry, whose activities were suspended due to conflict-related events. We also explore the effect of war-induced land use/land cover changes on agriculture-emitted ammonia in north-east Syria that has witnessed battles between different groups. The interpretation of the changes in NH3 is supported by different datasets: visible satellite imagery to assess the effect on industrial activity, reanalysis data from the European center for medium-range weather forecasts to look at the effect of meteorology (temperature, wind speed, and precipitation), and land cover and burned area products from the moderate resolution imaging spectroradiometer (MODIS) to examine land use/land cover changes and fire events during the study period. We show that the NH3 columns are directly affected by the war. Periods of intense conflict are reflected in lower values over the industry reaching –17%, –47%, and –32% in 2013, 2014, and 2016, respectively, compared to the [2008–2012] average, and a decrease reaching –14% and –15% in the croplands’ area in northeast Syria during 2017 and 2018 (compared to 2011), respectively. Toward the end of the control of Islamic State in Iraq and Syria, an increase in atmospheric NH3 was accompanied by an increase in croplands’ area that reached up to +35% in 2019 as compared to prewar (2011). This study shows the relevance of remote-sensing data of atmospheric composition in studying societal changes at a local and regional scale.


2013 ◽  
Vol 44 (2s) ◽  
Author(s):  
Massimo Prosdocimi ◽  
Giulia Sofia ◽  
Giancarlo Dalla Fontana ◽  
Paolo Tarolli

Anthropic pressure has been proven to be one of the most evident forces able to alter landscapes. Its impact on the surroundings can be easily detectable especially in a high-density populated country such as Italy. Among the most evident anthropic alterations, the most important are the urbanization processes but also changes in cultural techniques that have been occurring in rural areas. These modifications influence the hydrologic regimes in two ways: by modifying the direct runoff production and by having a strong impact on the drainage system itself. The main objectives of this work are to evaluate the impact of land cover changes in the Veneto region (north-east Italy) on the minor drainage network system, and to analyze changes in the direct runoff in the last 50 years. The study area is a typical agrarian landscape and it has been chosen considering its involvement in the major flood of 2010 and considering also the availability of data, including historical aerial photographs, historical information, and a high resolution LiDAR DTM. The results underline how land cover variations over the last 50 years have strongly increased the propension of the soil to produce direct runoff (increase of the Curve Number value) and they have also reduced the extent of the minor network system to the detriment of urbanized areas and changes of plots of land boundaries. As a consequence, the capacity of the minor network to attenuate and eventually laminate a flood event is decreased as well. These analysis can be considered useful tools for a suitable land use planning in flood prone areas.


Author(s):  
K. Venkatesh ◽  
H. Ramesh

<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>


Author(s):  
N. Hiese ◽  
Z. Hiese ◽  
D. Katiry ◽  
T. Medo ◽  
M. Hiese

Abstract. Land use is a dynamic phenomenon, changing with time and space. Land use/land cover (LULC) information and its periodic changes has become crucial to carry out the prediction to the dynamical change of land use. This study analyzed the spatial and temporal changes in land use that has taken place in Nagaland over the last 10 years (2005–2016). It has been observed that the dynamic change in land use and land cover has been mainly caused by the traditional practice of jhum cultivation, also known as shifting cultivation in Nagaland, which constitute about 81% of the total agricultural land. As a result, there is a decline in forest area by 593.87 km2 (5.66%) from 2005–2006 to 2015–2016. Concurrently, abandoned jhum land and scrubland has increased by 11.72% and 24.89%, demonstrating the decreased in jhum/ shifting cultivation cycle. The loss of forest in the last decade was attributed to ever increasing population, putting pressure on demand of jhum/ shifting cultivation and other anthropogenic activities. The degradation of forest is ever increasing, which calls for intervention of appropriate technology and holistic approach to address this issue.


2017 ◽  
Vol 10 (22) ◽  
pp. 1-18 ◽  
Author(s):  
Jatan Debnath ◽  
Nibedita Das ◽  
Istak Ahmed ◽  
Moujuri Bhowmik ◽  
◽  
...  

Author(s):  
Gopala Areendran ◽  
Kanchan Puri ◽  
Krishna Raj ◽  
Sraboni Mazumdar ◽  
Ritesh Joshi

There is inadequate knowledge of the natural resources in the remote inaccessible protected areas of North East Region (NER) of India. Arunachal Pradesh, which is one of the state in NER is extremely rich in biodiversity and forms a part of the biodiversity hotspots in the Eastern Himalayas. However its biodiversity is under threat due to various factors like infrastructure development, changing socio-economic pattern and other external pressures. Therefore the need of the hour is to map the current biodiversity of the area as well as potential threats in order to conserve the natural resources and create detailed spatial databases. The objective of the present study is to map the land use land cover (LULC) of Mehao Wildlife Sanctuary (WLS) situated in Arunachal Pradesh using Remote Sensing and GIS technology. IRS LISS III satellite image has been used to extract LULC, vegetation maps using hybrid classification. Further a spatial database of the WLS was created which includes contour, drainage, spot height and elevation distribution maps.


Sign in / Sign up

Export Citation Format

Share Document