scholarly journals An Analysis of the Morphological Changes of Surma River in Sylhet District Using Multitemporal Remote Sensing Images

Author(s):  
Md Muyeed Hasan ◽  
Md Bahuddin Sikder ◽  
Sushanta Gupta ◽  
Md Inzamul Haque ◽  
Md Najmul Kabir Kabir ◽  
...  

The Surma River is one of the most important rivers in the northeastern part of Bangladesh, which has changed significantly throughout history. Very few studies have taken place to understand this river's complex behavior, which characterizes its morphology. The core objective of this research is to analyze the river dynamics to understand the morphological changes of the river from 1978 to 2021. Remotely sensed satellite images of 1978, 1989, 1999, 2011, and 2021 were secondary data. The whole working procedure is the correction of satellite images, application of normalized difference water index (NDWI), demarcation of the river bank line using bank line methods, quantification of the erosion-deposition using an overlapping method, demarcation of central line shifting, measurement of the river width and finally the sinuosity index metering for 43 years. The river has changed significantly in several locations within the period in Sylhet District. Ten bends, three segments, and 200 points were taken to quantify the change dynamics. The overall analysis found that the left bank shifted more than the right bank. According to the findings, the deposition rate (80.98m/year) of river Surma is almost double the erosion rate (42.11m/year), which causes a significant decline in river width from 163m in 1978 to 123m in 2011. After counting 200 sample points, the result concluded that the average central line shifted more than average (79.50m) at 38 points indicates three major locations- Kanaighat, Dakshin Banigram, and Lalargaon. Finally, the sinuosity index found that the river became more meander following its shifting movement except the ninth bend near Kandigaon. The riverine people indicated several anthropogenic factors, e.g., encroachment, illegal construction, pollution, illegal sand extraction, as the key issues which should be intervened and take necessary action.  

Author(s):  
Ibrahim Faruk Gaya ◽  
Mu’azu Audu Zanuwa ◽  
Kamaludeen Adamu Muhammad ◽  
Mashkurah Ahmed Usman ◽  
Shehu Muhammad

Urban growth concept has dragged the attention of several scholars of different fields of study for decades. Urban growth refers to expansion of urban centres in size due population growth, which hiked the number of buildings in urban centres around the world. The finding of the paper indicate that Gombe Metropolis expanded by (85 hectares) each year from 2000 to 2010 and the expansion of Gombe Metropolis occur in all direction. The rate at which Gombe Metropolis expand grown to (203 hectares) each year from 2010 up to date. Therefore, the rate at which Gombe metropolis expanded increases by 138% from 2010 to date and how number of markets increases to 16 currently from 12 in the year 2010. This paper study the Impact of urban growth on market in Gombe Metropolis. Coordinate of markets of existing markets was collected. For second set of data used in this paper i.e. secondary data which include map of Gombe metropolis, related journals, text books, published and unpublished document, and Newspaper were consulted. The data generated from questionnaire administration were analysed using tables, graphs and charts. Satellite images showing how urban growth is taken place in Gombe Metropolis were also analysed. The study examines the impact of urban growth on Gombe Metropolis markets activities over the period of study. The findings of the study indicate emergence of new markets in the study area over the years of study as a result of urban expansion that occur in Gombe Metropolis. It also indicated that the new established markets were located in areas where urban growth take place in study area and these new markets are patronized by people within the environment or vicinity of the markets. Most of the newly emerged markets are located at the periphery of the town where urban expansions occur rapidly.


2020 ◽  
Vol 42 (2) ◽  
pp. 176-186
Author(s):  
Cham Dao Dinh

In recent years, accretion-erosion processes are frequently recorded in the estuary of Cua Dai, Quang Nam province. Most recently, however, sand bars are formed in the estuary not far from the place where the Inland Waterways Authority of Vietnam had previously dredged. The estuary continues to be accreted by sand. These have been drawing special attention of national and international scientists. While there is accretion at the estuary, eroded processes are strongly recorded along the coastlines of Quang Nam province. Therefore, it is necessary to carry out a study in the effects of the hydrodynamic regime on morphological changes in the Cua Dai estuary and coastlines of Quang Nam province. The goal of this paper is to fully interpret the causes, regimes of accretion and erosion processes over the study area. In this study, satellite images and hydrodynamic models of Delft3D and MIKE 11 are applied. The results show a strong accretion process in the estuary of Cua Dai. Sandbar formation across the Cua Dai estuary comes from the interaction of flood, wave, and current conditions during the northeast monsoon. This mainly affects the changes in morphology in the estuary of Cua Dai, Quang Nam.


2003 ◽  
Vol 48 (10) ◽  
pp. 135-142 ◽  
Author(s):  
D.Z. Seker ◽  
C. Goksel ◽  
S. Kabdasli ◽  
N. Musaoglu ◽  
S. Kaya

The Riva River is located on the Anatolian (Asian) side of Istanbul by the Black Sea coast, with a wonderful sandy beach and delta formation which has been selected as the study area. The Riva is the largest river in this region, which flows into the Black Sea and also gives its’ name to the area. The river carries some amount of sediments to the Black Sea. These particles cause considerable changes not only in the bed bathymetry and coastal boundaries of the river but also along the coastline of the Black Sea. The aim of this study is to determine these variations by means of satellite data and GIS. In the study, satellite images dated 1975, 1984, 1992 and 2001 have been used. At the end of the study, the possibility of observing bathymetric changes in front of the coastline by means of satellite data has been investigated and results were evaluated and visualised by means of GIS.


Geosciences ◽  
2018 ◽  
Vol 8 (7) ◽  
pp. 265 ◽  
Author(s):  
Thiago Marinho ◽  
Naziano Filizola ◽  
Jean-Michel Martinez ◽  
Elisa Armijos ◽  
André Nascimento

This study focuses on the confluence of two major rivers of the world, the Solimões River (white waters) and Negro River (black waters). Surface suspended sediment samples (SSC) and spectroradiometer taken along transverse profiles at 500 m intervals over a distance of 10 km, as well as satellite images (MODIS) during the hydrological year, were used to follow suspended sediment variability. In January and February, the confluence is dominated by white waters from the Solimões River in the two banks, and in June and July in the right bank by black waters from the Negro River and in the left bank by clear waters from the Solimões River. We found that indirect tools, such as reflectance obtained by spectrometer or MODIS images, can be used to determine surface suspended sediments in a contrasting zone.


2019 ◽  
Vol 11 (1) ◽  
pp. 152-171 ◽  
Author(s):  
Nikhom Chaiwongsaen ◽  
Parisa Nimnate ◽  
Montri Choowong

Abstract The Chao Phraya River flows in the largest river basin of Thailand and represents one of the important agricultural and industrial areas in Southeast Asia. The Ping River is one major upstream branch flowing down slope southwardly, joining the Chao Phraya River in the low-lying central plain and ending its course at the Gulf of Thailand. Surprisingly, the overflow occurs frequently and rapidly at the Lower Ping River where channel slope is high, and in particular area, sand-choked is extensively observed, even in normal rainfall condition. In contrary, at the downstream part, the erosion of river bank and shoreline around the mouth of Chao Phraya River has been spatially increasing in place where there should be a massive sediment supply to form a delta. Here we use Landsat imageries taken in 1987, 1997, 2007 and 2017 to analyze geomorphological changes of rivers. Results show that both rivers have undergone the rapid decreasing of water storage capacity and increasing of sand bar areas in river embayment. The total emerged sand bar area in the Lower Ping River increases from 1987 to 2017 up to 28.8 km2. The excessive trapped bed sediments deposition along the upper reaches is responsible for the shallower of river embankment leading to rapid overflow during flooding. At the Chao Phraya River mouth, a total of 18.8 km2 of the coastal area has been eroded from 1987 to 2017.This is caused by the reducing of sediment supply leading to non-equilibrium in the deltaic zone of the upper Gulf of Thailand. There are several possibility implications from this study involving construction of weir, in-channel sand mining, reservoir sedimentation and coastal erosion management.


2019 ◽  
Vol 8 (1) ◽  
pp. 9 ◽  
Author(s):  
Sara Zollini ◽  
Maria Alicandro ◽  
María Cuevas-González ◽  
Valerio Baiocchi ◽  
Donatella Dominici ◽  
...  

Coastal environments are facing constant changes over time due to their dynamic nature and geological, geomorphological, hydrodynamic, biological, climatic and anthropogenic factors. For these reasons, the monitoring of these areas is crucial for the safeguarding of the cultural heritage and the populations living there. The focus of this paper is shoreline extraction by means of an experimental algorithm, called J-Net Dynamic (Semeion Research Center of Sciences of Communication, Rome, Italy). It was tested on two types of image: a very high resolution (VHR) multispectral image (WorldView-2) and a high resolution (HR) radar synthetic aperture radar (SAR) image (Sentinel-1). The extracted shorelines were compared with those manually digitized for both images independently. The results obtained with the J-Net Dynamic algorithm were also compared with common algorithms, widely used in the literature, including the WorldView water index and the Canny edge detector. The results show that the experimental algorithm is more effective than the others, as it improves shoreline extraction accuracy both in the optical and SAR images.


2018 ◽  
Vol 10 (2) ◽  
pp. 56 ◽  
Author(s):  
Marie Caroline Solefack Momo ◽  
Andre Ledoux Njouonkou ◽  
Lucie Felicite Temgoua ◽  
Romuald Djouda Zangmene ◽  
Junior Baudoin Wouokoue Taffo ◽  
...  

This study assesses land cover change of the Koupa Matapit forest gallery, West Cameroon, in relation to anthropogenic factors. Ethnobotanical surveys were conducted to investigate the relationships between the local population and the gallery forest; the spatio-temporal dynamics of the landscapes around the gallery forest were studied from the diachronic analysis of three Landsat TM satellite images of 1984, Landsat ETM + 1999 and Landsat OLI_TIRS of 2016, supplemented by verification missions on field. The satellite images were processed using ArcGIS and Erdas Imagine software. According to surveys, it should be noted that agriculture and livestock are the main economic activities of the population of Koupa Matapit, agriculture and fuel wood collection for energy were the main anthropogenic activities responsible for deforestation and degradation of the forest gallery. The collection of non-timber forest products (NTFPs) would have a significant implication in land use and cover changes. The results indicate that the extension of savannah/agricultural land (from 6989 ha in 1984 to 7604 ha in 2016) and bare soil/built up area (from 71 ha in 1984 to 342 ha in 2016) would have led to the disappearance of much of the forest area (1465 ha in 1984 to 580 ha in 2016). The rapid population growth of Koupa Matapit would be responsible for these pressures. There is an urgent need to implement appropriate land use policy in this area.


2013 ◽  
Vol 304 ◽  
pp. 142-155 ◽  
Author(s):  
Md Altaf Hossain ◽  
Thian Yew Gan ◽  
Abul Basar M. Baki

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