Impact of urbanization on land use/ land cover of Dudhganga watershed of Kashmir Valley, India

Haroon Sajjad,Mohd Iqbal 서울시립대학교 도시과학연구원 2012 도시과학국제저널 Vol.16 No.3

The rapid rate of urban expansion due to a rise in population and economic growth is causing land use/land cover changes in fringe areas of Srinagar city especially in the Dudhganga watershed. This paper analyzes land use/land cover changes that occurred due to urban expansion and points out the major impact of urbanization on landscape through multi-temporal Landsat satellite data (1991and 2010) of the Dudhganga watershed. In order to assess the pattern of urbanization, land consumption ratio (LCR) and land absorption coefficient (LAC) have been estimated. The results revealed that throughout the period of 1991–2010, the amount of built up area has increased dramatically whereas the area under agriculture has decreased drastically. The built-up area has experienced an increase of 5056 hectares while the area under agriculture has witnessed a decrease of 3241 hectares. The values of land consumption ratio and land absorption coefficient reveal remarkable changes at both spatial and temporal scales. The lower reaches of the watershed are becoming urbanized due to the outer growth of Srinagar city at the cost of prime agricultural land. Serious environmental problems have cropped up as a result of rapid urban development. If the present trend continues it will lead to severe degradation of natural resources of the watershed, hence it calls for a proper land use policy.

A systematic review for assessing the impact of climate change on landslides: research gaps and directions for future research

Aastha Sharma,Haroon Sajjad,Roshani,Md Hibjur Rahaman 대한공간정보학회 2024 Spatial Information Research Vol.32 No.2

The magnitude and intensity of landslides due to changing climate have created environmental and socio-economic implications for society. Through an in-depth analysis of the existing research on landslides in a changing climate from 1996 to 2021, this paper aims to carry out bibliometric and thematic analyses, identify the research gaps in the existing literature, and suggest a future framework for climate change-induced landslide risk assessment and mitigation. The data for review was collected from the Web of Science and Scopus platforms using a set of relevant keywords. After meeting the exclusion and inclusion criteria, 200 studies were finally selected to analyze the current state of research. The findings revealed that most of the reviewed studies focused on economic vulnerability to landslides, while social and ecological aspects of vulnerability at the micro-scale were scant in the past literature. Uncertainty in landslide-climate modeling, lack of advanced models for predicting landslide risk, and lack of early warning systems were identified as the major research gaps. A holistic methodological approach is proposed for assessing landslide risk and devising landslide mitigation strategies. The identified research gaps and the proposed framework may help in the future progression of climate change-induced landslide research in spatial information science.

Assessing land transformation and its relation with land surface temperature in Mumbai city, India using geospatial techniques

Mehebub Sahana,Shyamal Dutta,Haroon Sajjad 서울시립대학교 도시과학연구원 2019 도시과학국제저널 Vol.23 No.2

Land transformation as a result of unprecedented urbanization has introduced changes in local climate and surface energy budget. Land surface temperature (LST) is an important factor influencing local climate and ecology. Mumbai being second largest populated city is experiencing significant changes in land use/land cover (LULC) and surface energy fluxes. Hence, the main objective of the study is to assess the spatial variation in land surface temperature due to land use/land cover change. Several indices like; Normalized difference vegetation index (NDVI), normalized difference moisture index (NDMI), modified normalized difference water index (MNDWI) and normalized difference built up index (NDBI) were derived to validate the spatial variability of LST in different land use/land cover classes. The study utilized Landsat5/TM and Landsat8/TIRS data for assessing land transformation and its relation with LST in Mumbai city. January, June and October months of three time series 1990, 2000 and 2015 were chosen as representative of three seasons to analyze variation in LST. Pixel to pixel overlay analysis for different indices and LST was carried out to examine the relation of LST with different indices. The study revealed the maximum change in LST was recorded during the month of June over the study period. Land transformation from vegetation and agricultural land to urban built up has been found to be the main cause of increased LST in the study area. The finding of the study may help in promulgating sustainable urban land use policies and avoiding the effect of urban heat island.

Driving force for forest fragmentation explored by land use change in Song watershed, India

Mehebub Sahana,Raihan Ahmed,Purva Jain,Haroon Sajjad 대한공간정보학회 2016 Spatial Information Research Vol.24 No.6

This study attempts to assess forest fragmentation and degradation in response to land use/land cover changes in Song watershed, India during 1998–2014. Landsat TM and Landsat 8 OLI satellite data across two dates (1998 and 2014) were used to analyze land use/land cover change and its impact on forest cover. The extent of forest degradation was analyzed using fragmentation model. Four categories of disturbance viz. core, perforated, edge and patch were obtained using 200 meters edge width. The result shows overall decrease of 7% in area under forest over 16 years. Area under open forest, mixed land use/land cover I (agriculture, forest and built up) and mixed land use/land cover III (agriculture and built up) has significantly increased while area under dense forest has decreased during the study period. Fragmentation model revealed lots of disturbance in forest located in mixed land use/land cover areas. Perforated and patch classes of forest have experienced a significant increase in their respective areas while core area has decreased at the expense of other fragmentation classes. Degradation of forest occurred at large scale at Hrishikesh and Thano forest ranges of Dehradun district and Gadol range in Tehri Garhwal district lying in the watershed. Rishikesh city in Dehradun district located in southern part of watershed recorded increase in patches due to developmental activities. Remote sensing and fragmentation model showed their effectiveness in analyzing forest degradation and monitoring the health of the forest in the watershed.

Land suitability assessment for optimal cropping sequences in Katihar district of Bihar, India using GIS and AHP

Vinay Prasad Mandal,Sufia Rehman,Raihan Ahmed,Md. Masroor,Pavan Kumar,Haroon Sajjad 대한공간정보학회 2020 Spatial Information Research Vol.28 No.5

The main objective of the study is to assess land suitability for suggesting suitable crop sequences in Katihar district of Bihar, India. We first selected site-specific factors and assigned their weights using analytical hierarchy process (AHP) for land suitability assessment. The layers of factors were integrated to prepare land suitability map. The findings revealed that of the total area (3.05 million ha), the largest area (48.5%) was marginally suitable for agriculture followed by moderately suitable (30.8%) and highly suitable (2.9%). Nearly 17.8% area was found unsuitable for agriculture. Rice–maize– rice, rice–maize–jute and maize–maize–rice were found suitable crop sequences in all suitability classes. Multilinear regression analysis between land suitability and factors shows that soil texture, nitrogen, phosphorus and potassium, pH and drainage proximity influenced land suitability. The study suggested soil reclamation, application of adequate amount of fertilizers, assured irrigation and flood control for sustainable crop sequences in the study area. Land restoration and soil reclamation measures should be taken to transform unsuitable areas for crop cultivation. Use of integrated geographical information system and AHP approach for analyzing land suitability and crop sequences may add a new dimension in spatial information science.

Effect of Chlorella vulgaris on Liver Function Biomarkers: a Systematic Review and Meta-Analysis

( Samira Yarmohammadi ),( Reza Hosseini-ghatar ),( Sahar Foshati ),( Mojgan Moradi ),( Niloofar Hemati ),( Sajjad Moradi ),( Mohammad Ali Hojjati Kermani ),( Mohammad Hosein Farzaei ),( Haroon Khan ) 한국임상영양학회 2021 Clinical Nutrition Research Vol.10 No.1

This study presents a comprehensive systematic review and meta-analysis of randomized controlled trials (RCTs) on Chlorella vulgaris (C. vulgaris) supplementation and liver function biomarkers. Pertinent studies were identified using Scopus, ISI Web of Science, PubMed, and Cochrane library databases up to August 2020. Mean differences were pooled using a random-effects model. Pooling 7 RCTs together showed that C. vulgaris supplementation led to a significant reduction of serum aspartate aminotransferase (AST) levels (weighted mean difference [WMD], -9.15 U/L; 95% confidence interval [CI], -16.09, -2.21), but not alanine aminotransferase (ALT) or alkaline phosphatase (ALP) levels compared to the placebo consumption. Subgroup-analysis indicated that C. vulgaris supplementation had more effect on AST decreasing among non-alcoholic fatty liver disease patients (WMD, -16.42 U/L; 95% CI, -29.75, -3.09) than others. Furthermore, subgroup analysis based on kind of supplementation showed that C. vulgaris supplementation significantly decreased ALT levels (WMD, -4.65 U/L; 95% CI, -8.88, -0.42) compared with the placebo, but not metformin consumption. It seems that C. vulgaris supplementation mainly affects AST levels rather than ALT and ALP levels, however, as mentioned the effect of C. vulgaris on those enzymes might be context-dependent. Therefore, further investigations with a large number of patients as well as on different disorders are necessary and can provide more definitive evidence.