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HKUST-1 is a copper-based metal–organic framework (MOF). The HKUST-1/PMS/Vis system can effectively degrade RhB and MB but accomplish poor removal of AO7 and MR, which is attributed to the repulsion between surface charges.
Jianyu Zhang; Chunli Su; Xianjun Xie; Peng Liu; Enamul Huq. Enhanced visible light photocatalytic degradation of dyes in aqueous solution activated by HKUST-1: performance and mechanism. RSC Advances 2020, 10, 37028 -37034.
AMA StyleJianyu Zhang, Chunli Su, Xianjun Xie, Peng Liu, Enamul Huq. Enhanced visible light photocatalytic degradation of dyes in aqueous solution activated by HKUST-1: performance and mechanism. RSC Advances. 2020; 10 (61):37028-37034.
Chicago/Turabian StyleJianyu Zhang; Chunli Su; Xianjun Xie; Peng Liu; Enamul Huq. 2020. "Enhanced visible light photocatalytic degradation of dyes in aqueous solution activated by HKUST-1: performance and mechanism." RSC Advances 10, no. 61: 37028-37034.
Recently environmental hazards are occurring very frequently over the globe and a great concern for the society owing to its high rate of vulnerability. Measuring vulnerability to environmental hazards poses an immense challenge for disaster risk relief efforts in the world. For the effective application of vulnerability reduction as well as mitigation actions, it is necessary to quantify the level of vulnerability. Using multiple dimensions of vulnerability is correspondingly important to identify the vulnerable community and places. In this study a framework is proposed for measuring vulnerability to environmental hazards quantitatively. The proposed framework measures vulnerability by identifying and evaluating the respective dimensions of vulnerability with numeric scoring technique. The vulnerability dimensions cover all the factors (exposure, susceptibility and resilience) of vulnerability to environmental hazards. It defines vulnerability in a quantitative scale yclept vulnerability score of each dimensions of vulnerability. Considering the features of the previous qualitative vulnerability frameworks, the present framework has been developed. Moreover, this quantitative vulnerability measuring framework for environmental hazards is introduced on the basis of numeric score. Thus, the proposed framework might be applied for assessing vulnerability within a community, regional and national level. It can also be exploited as a supporting tool in decision-making process, planning, crisis management, disaster reduction and mitigation to environmental hazards.
Enamul Huq; A. Z. M. Shoeb; Mallik Akram Hossain; Shah Fahad; M. M. Kamruzzaman; Akib Javed; Nayyer Saleem; K. M. Mehedi Adnan; Swati Anindita Sarker; Yeamin Ali; Most. Sinthia Sarven. Measuring Vulnerability to Environmental Hazards: Qualitative to Quantitative. Environment, Climate, Plant and Vegetation Growth 2020, 421 -452.
AMA StyleEnamul Huq, A. Z. M. Shoeb, Mallik Akram Hossain, Shah Fahad, M. M. Kamruzzaman, Akib Javed, Nayyer Saleem, K. M. Mehedi Adnan, Swati Anindita Sarker, Yeamin Ali, Most. Sinthia Sarven. Measuring Vulnerability to Environmental Hazards: Qualitative to Quantitative. Environment, Climate, Plant and Vegetation Growth. 2020; ():421-452.
Chicago/Turabian StyleEnamul Huq; A. Z. M. Shoeb; Mallik Akram Hossain; Shah Fahad; M. M. Kamruzzaman; Akib Javed; Nayyer Saleem; K. M. Mehedi Adnan; Swati Anindita Sarker; Yeamin Ali; Most. Sinthia Sarven. 2020. "Measuring Vulnerability to Environmental Hazards: Qualitative to Quantitative." Environment, Climate, Plant and Vegetation Growth , no. : 421-452.
In Shanxi Province, China, groundwater is a major problem and exploration of groundwater potential zones (GWPZs) is a great necessity. This paper contributed to integrate RS-GIS to delineate GWPZ and applied Fuzzy-AHP method in a single platform. The main objective includes delineation GWPZs with RS and geo-environmental factors using Fuzzy-AHP method. Fuzzy-AHP method was employed to calculate weight of factors. RS-GIS was used to create maps and discover groundwater availability. GWPZs were classified in five separate classes. Results indicated that 13.26%, 27.02%, 26.35%, 23.64%, and 9.71% area classified as very good, good, moderate, poor, and very poor GWPZs. The validated analytical results revealed 82.5%, 12.3%, 3.5%, and 1.7% existing water wells exhibited in very good, good, moderate, and poor/very poor GWPZs. This indicates Fuzzy-AHP model generated findings were in very good agreement with ground-truth data. This RS-GIS based Fuzzy-AHP method is proficient and efficient in identification and delineation of GWPZs.
Zhenfeng Shao; Enamul Huq; Bowen Cai; Orhan Altan; Yan Li. Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China. Environmental Modelling & Software 2020, 134, 104868 .
AMA StyleZhenfeng Shao, Enamul Huq, Bowen Cai, Orhan Altan, Yan Li. Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China. Environmental Modelling & Software. 2020; 134 ():104868.
Chicago/Turabian StyleZhenfeng Shao; Enamul Huq; Bowen Cai; Orhan Altan; Yan Li. 2020. "Integrated remote sensing and GIS approach using Fuzzy-AHP to delineate and identify groundwater potential zones in semi-arid Shanxi Province, China." Environmental Modelling & Software 134, no. : 104868.
With the rapid urban development in China, urbanization has brought more and more pressure on the ecological environment. As one of the most dynamic, open, and innovative regions in China, the eco-environmental issues in the Yangtze River Delta have attracted much attention. This paper takes the central region of the Yangtze River Delta as the research object, through building the index system of urbanization and ecological environment based on statistical data and two new indicators (fraction of vegetation coverage and surface urban heat island intensity) extracted from remote sensing images, uses the Entropy-TOPSIS method to complete the comprehensive assessment, and then analyzes the coupling coordination degree between the urbanization and ecological environment and main obstacle factors. The results showed that the coupling coordination degree in the study region generally shows an upward trend from 0.604 in 2008 to 0.753 in 2017, generally changing from an imbalanced state towards a basically balanced state. However, regional imbalance of urbanization and ecological environment always exists, which is mainly affected by social urbanization, economic urbanization, landscape urbanization, pollution loading and resource consumption. Finally, on the basis of the obstacle factor analysis, some specific suggestions for promoting the coordinated development of the Yangtze River Delta are put forward.
Zhenfeng Shao; Lin Ding; Deren Li; Orhan Altan; Enamul Huq; Congmin Li. Exploring the Relationship between Urbanization and Ecological Environment Using Remote Sensing Images and Statistical Data: A Case Study in the Yangtze River Delta, China. Sustainability 2020, 12, 5620 .
AMA StyleZhenfeng Shao, Lin Ding, Deren Li, Orhan Altan, Enamul Huq, Congmin Li. Exploring the Relationship between Urbanization and Ecological Environment Using Remote Sensing Images and Statistical Data: A Case Study in the Yangtze River Delta, China. Sustainability. 2020; 12 (14):5620.
Chicago/Turabian StyleZhenfeng Shao; Lin Ding; Deren Li; Orhan Altan; Enamul Huq; Congmin Li. 2020. "Exploring the Relationship between Urbanization and Ecological Environment Using Remote Sensing Images and Statistical Data: A Case Study in the Yangtze River Delta, China." Sustainability 12, no. 14: 5620.
Recently, floods and natural disasters are occurring over the world frequently. It is not possible to avoid the natural occurrence of floods, but it could be managed effectively or minimize the losses and damages with the appropriate technique. The purpose of this study is to measure household vulnerability to flood hazard quantitatively as a tool for mitigation aspects. The study was conducted based on primary data. Therefore, 300 households (150 from slum and 150 from non-slum) were surveyed with a structured questionnaire on responsible factors (social, economic, institutional, structural, and environmental) of household vulnerability to flooding. The relative weight of each variable and indicators were assigned with the Analytical Hierarchy Process (AHP) to obtain household vulnerability scores. All the vulnerability scores of households were standardized to get uniform scale (ranges from 1–100). The results indicated that most (63.06%) of the slum households while only 20.02% non-slum households were highly vulnerable to flood. The present study also identified and evaluated the responsible factors that create people’s vulnerability to flooding hazards in Dhaka megacity. The key feature of this paper is to provide a unique method and model to calculate numeric household vulnerability to flooding hazards, and this practical approach is useful to quantify hazard-induced vulnerabilities not only for Dhaka but also for other cities especially for developing countries.
Enamul Huq; A. Z. M. Shoeb; Akib Javed; Zhenfeng Shao; Mallik Akram Hossain; Most. Sinthia Sarven. Measuring Vulnerability for City Dwellers Exposed to Flood Hazard: A Case Study of Dhaka City, Bangladesh. Studies in Distributed Intelligence 2020, 207 -215.
AMA StyleEnamul Huq, A. Z. M. Shoeb, Akib Javed, Zhenfeng Shao, Mallik Akram Hossain, Most. Sinthia Sarven. Measuring Vulnerability for City Dwellers Exposed to Flood Hazard: A Case Study of Dhaka City, Bangladesh. Studies in Distributed Intelligence. 2020; ():207-215.
Chicago/Turabian StyleEnamul Huq; A. Z. M. Shoeb; Akib Javed; Zhenfeng Shao; Mallik Akram Hossain; Most. Sinthia Sarven. 2020. "Measuring Vulnerability for City Dwellers Exposed to Flood Hazard: A Case Study of Dhaka City, Bangladesh." Studies in Distributed Intelligence , no. : 207-215.
Risk and uncertainty are distinctive features of agricultural cultivation, which significantly affect the production and income. Risk management is an important way for farmers to reduce uncertainty. But little literature is available on simultaneous adoption of different risk management strategies and the possible correlations and impact. This study surveyed 350 maize farmers in four different agro-ecological districts in Bangladesh through stratified random sampling and explored the impacts of social and farm features, farmers’ perceptions about catastrophic risk and their attitude towards risk sources, and the possible correlations among contract farming, diversification and agricultural credit as for risk management strategies by employing multivariate probit model. The results confirmed the correlation among the adoptions of different risk management strategies and revealed that a single risk management strategy could encourage farmers to adopt another one or two risk management strategies simultaneously. Furthermore, the findings explored that age, educational status, extension contact, monthly family income, farm size, farmland ownership, and farmers’ risk-averse nature were the most influencing factors for risk management strategies adopted. Also, the findings from the multivariate probit model provided further interpretations and information which will help in a better understanding of farmer’s behavior about managing different catastrophic risks and will give a platform for policymakers to anticipate suitable risk management strategies for farmers.
K. M. Mehedi Adnan; Liu Ying; Swati Anindita Sarker; Man Yu; Moataz Eliw; Reza Sultanuzzaman; Enamul Huq. Simultaneous adoption of risk management strategies to manage the catastrophic risk of maize farmers in Bangladesh. GeoJournal 2020, 86, 1981 -1998.
AMA StyleK. M. Mehedi Adnan, Liu Ying, Swati Anindita Sarker, Man Yu, Moataz Eliw, Reza Sultanuzzaman, Enamul Huq. Simultaneous adoption of risk management strategies to manage the catastrophic risk of maize farmers in Bangladesh. GeoJournal. 2020; 86 (4):1981-1998.
Chicago/Turabian StyleK. M. Mehedi Adnan; Liu Ying; Swati Anindita Sarker; Man Yu; Moataz Eliw; Reza Sultanuzzaman; Enamul Huq. 2020. "Simultaneous adoption of risk management strategies to manage the catastrophic risk of maize farmers in Bangladesh." GeoJournal 86, no. 4: 1981-1998.
Digital elevation models (DEMs) are considered an imperative tool for many 3D visualization applications; however, for applications related to topography, they are exploited mostly as a basic source of information. In the study of landslide susceptibility mapping, parameters or landslide conditioning factors are deduced from the information related to DEMs, especially elevation. In this paper conditioning factors related with topography are analyzed and the impact of resolution and accuracy of DEMs on these factors is discussed. Previously conducted research on landslide susceptibility mapping using these factors or parameters through exploiting different methods or models in the last two decades is reviewed, and modern trends in this field are presented in a tabulated form. Two factors or parameters are proposed for inclusion in landslide inventory list as a conditioning factor and a risk assessment parameter for future studies.
Nayyer Saleem; Enamul Huq; Nana Yaw Danquah Twumasi; Akib Javed; Asif Sajjad. Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review. ISPRS International Journal of Geo-Information 2019, 8, 545 .
AMA StyleNayyer Saleem, Enamul Huq, Nana Yaw Danquah Twumasi, Akib Javed, Asif Sajjad. Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review. ISPRS International Journal of Geo-Information. 2019; 8 (12):545.
Chicago/Turabian StyleNayyer Saleem; Enamul Huq; Nana Yaw Danquah Twumasi; Akib Javed; Asif Sajjad. 2019. "Parameters Derived from and/or Used with Digital Elevation Models (DEMs) for Landslide Susceptibility Mapping and Landslide Risk Assessment: A Review." ISPRS International Journal of Geo-Information 8, no. 12: 545.
The efficacy of various doses of Purpureocillium lilacinum PLSAU-1 (P. lilacinum PLSAU-1) was evaluated against brinjal root-knot pathogen, Meloidogyne incognita (M. incognita) at different inoculum levels. Experimental pot soil was treated by four doses (0, 1 × 105, 5 × 105, and 1 × 106 CFU/g soil) of P. lilacinum PLSAU-1 before transplanting, and 5 inoculum levels of M. incognita (0, 100, 400, 800, 1600, and 3200 eggs per 100 cm3 soil) were used after 3 days of brinjal transplantation. A significant correlation was observed between doses of P. lilacinum PLSAU-1 and inoculum densities of M. incognita. Among the doses, the rate of P. lilacinum PLSAU-1 of 1 × 106 CFU/g soil enhanced highly plant growth parameters. Inoculation of M. incognita reduced plant growth significantly, and the reduction increased with the increase of inoculum density of M. incognita. The application of P. lilacinum PLSAU-1 at 1 × 106 CFU/g soil reduced a maximum of 72% gall index and 84% egg masses when the crop was challenged by 800 and 400 eggs/100 cm3 soil, respectively. The dose of 1 × 106 CFU/g soil of P. lilacinum PLSAU-1 showed effectiveness to reduce reproduction factor of M. incognita up to 81% when the crop was inoculated by 800 eggs of the pest/100 cm3 soil. The study demonstrated that P. lilacinum PLSAU-1 is an effective bio-agent for controlling of root-knot nematode on brinjal and can be a key component of environment-friendly management approach.
Most. Sinthia Sarven; F. M. Aminuzzaman; Enamul Huq. Dose-response relations between Purpureocillium lilacinum PLSAU-1 and Meloidogyne incognita infecting brinjal plant on plant growth and nematode management: a greenhouse study. Egyptian Journal of Biological Pest Control 2019, 29, 26 .
AMA StyleMost. Sinthia Sarven, F. M. Aminuzzaman, Enamul Huq. Dose-response relations between Purpureocillium lilacinum PLSAU-1 and Meloidogyne incognita infecting brinjal plant on plant growth and nematode management: a greenhouse study. Egyptian Journal of Biological Pest Control. 2019; 29 (1):26.
Chicago/Turabian StyleMost. Sinthia Sarven; F. M. Aminuzzaman; Enamul Huq. 2019. "Dose-response relations between Purpureocillium lilacinum PLSAU-1 and Meloidogyne incognita infecting brinjal plant on plant growth and nematode management: a greenhouse study." Egyptian Journal of Biological Pest Control 29, no. 1: 26.