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311.
He Yahui Jiao Xu Zhang Tangwei Wang Mengqiang Khan Majid Khan Muhammad Rafiullah She Yongxin 《Environmental science and pollution research international》2021,28(4):4245-4252
Environmental Science and Pollution Research - Herein, field experiment trials were conducted at two different sites (Heilongjiang and Hubei Province) in China to determine the residual levels and... 相似文献
312.
Saulat Hammad Khan Muhammad Masood Aslam Muhammad Chawla Muhammad Rafiq Sikander Zafar Faisal Khan Muhammad Mahmood Bokhari Awais Jamil Farrukh Bhutto Abdul Waheed Bazmi Aqeel Ahmed 《Environmental science and pollution research international》2021,28(26):34051-34073
Environmental Science and Pollution Research - Energy is an essential parameter for the economic growth and sustainable development of any country. Due to the rapid increase in energy demand,... 相似文献
313.
Paul R. Amyotte Michael J. Pegg Faisal I. Khan 《Process Safety and Environmental Protection》2009,87(1):35-39
The aim of the current work is to explicitly link the inherent safety principles of minimization, substitution, moderation and simplification with strategies for dust explosion prevention and mitigation. A brief review of inherent safety and its basic principles is first given. This is followed by a discussion of various ways in which the dust explosion hazard can be minimized, substituted, moderated and simplified. Particular attention is paid to the relationship between each inherent safety principle and (i) various dust explosibility parameters, (ii) alternate methods of processing, (iii) selection of process equipment, and (iv) development and implementation of safe-work procedures. Original research results are presented, along with industrial case studies and previously published results that have been reinterpreted in terms of inherent safety and its basic principles. It is anticipated that this research will be of value to industry as a complement to the relatively well-established suite of engineered and procedural dust explosion risk reduction measures. 相似文献
314.
Muhammad Farooq Saleem Khan Jing Wu Cheng Cheng Mona Akbar Chuanyang Liu Bo Liu Jian Shen Yu Xin 《Frontiers of Environmental Science & Engineering》2020,14(3):42
315.
The Thar Desert of North-west India has sprung into prominence recently because of nuclear testing in 1998. It occupies about 3 million km2 of diverse habitat. Each of the various habitats and landforms in the desert supports distinctive plants. 682 plant species have been identified including 107 grasses. Plants are removed for fuel, fodder, fencing and other farming, domestic and commercial purposes. There are about 200 species of plants with recognised medicinal uses in the desert. The medicinal usefulness of others is yet to be established.
Commiphora wightii, Withania somnifera and Urginia indica have high glycoside content and are valued for gums and used in ayurvedic medicines for enhancing mental retention and memory enhancement. Such plants are being indiscriminately exploited for fuelwood. 相似文献
316.
Xiang Yujia Zhou Yuzhou Yao Bin Sun Yuqing Khan Eakalak Li Wei Zeng Guihua Yang Jian Zhou Yaoyu 《Environmental science and pollution research international》2023,30(4):8916-8927
Environmental Science and Pollution Research - Highly efficient and cost-effective adsorbents for antibiotic removal are the key to mitigate pollution by industrial wastewaters. Pyrolyzing low-cost... 相似文献
317.
Robert Bogucki Marek Cygan Christin Brangwynne Khan Maciej Klimek Jan Kanty Milczek Marcin Mucha 《Conservation biology》2019,33(3):676-684
Photo identification is an important tool for estimating abundance and monitoring population trends over time. However, manually matching photographs to known individuals is time-consuming. Motivated by recent developments in image recognition, we hosted a data science challenge on the crowdsourcing platform Kaggle to automate the identification of endangered North Atlantic right whales (Eubalaena glacialis). The winning solution automatically identified individual whales with 87% accuracy with a series of convolutional neural networks to identify the region of interest on an image, rotate, crop, and create standardized photographs of uniform size and orientation and then identify the correct individual whale from these passport-like photographs. Recent advances in deep learning coupled with this fully automated workflow have yielded impressive results and have the potential to revolutionize traditional methods for the collection of data on the abundance and distribution of wild populations. Presenting these results to a broad audience should further bridge the gap between the data science and conservation science communities. 相似文献
318.
Jehan Shah Ullah Ihsan Khan Sardar Muhammad Said Khattak Seema Anjum Khan Tariq 《Environmental science and pollution research international》2020,27(31):38545-38558
Environmental Science and Pollution Research - This study evaluates the characteristics of water along the Swat River, Northern Pakistan. For this purpose, water samples (n = 30) were... 相似文献
319.
Khan Imran Lei Hongdou Khan Ahmad Muhammad Ihsan Javeed Tehseen Khan Asif Huo Xuexi 《Environmental science and pollution research international》2021,28(7):7994-8011
Environmental Science and Pollution Research - The concept of yield gap analysis can be used to meet the growing demands for agricultural products. Sustainable development goals (e.g. SDG1 and... 相似文献
320.