排序方式: 共有32条查询结果,搜索用时 15 毫秒
1.
Nawaz Muhammad Atif Hussain Muhammed Sajjad Kamran Hafiz Waqas Ehsanullah Syed Maheen Rida Shair Faluk 《Environmental science and pollution research international》2021,28(13):16014-16028
Environmental Science and Pollution Research - Recent research has shown a huge impact of non-renewable energy (NRE) production on environmental health. In this context, this work analyzes the... 相似文献
2.
Khan Sajjad Nawaz Mubushar Muhammad Khan Ikram Ullah Rehman Hafiz Mudassir Khan Safeer Ullah 《Environment, Development and Sustainability》2021,23(9):13707-13730
Environment, Development and Sustainability - Economic, environmental, and social imperatives make sustainability-oriented entrepreneurship an indispensable phenomenon of the day, yet only sparse... 相似文献
3.
Sajjad Aqsa Asmi Fahad Chu Jianxun Anwar Muhammad Azfar 《Environmental science and pollution research international》2020,27(32):39774-39785
Environmental Science and Pollution Research - Smog pollution deteriorates environmental quality and has severe health risks. This affects the daily lives of people in China, particularly in urban... 相似文献
4.
Tahir MW Mumtaz MW Tauseef S Sajjad M Nazeer A Farheen N Iqbal M 《Environmental monitoring and assessment》2012,184(8):4879-4888
The present study describes the estimation of particulate matter (cotton dust) with different sizes, i.e., PM(1.0), PM(2.5), PM(4.0), and PM(10.0 μm) in small-scale weaving industry (power looms) situated in district Hafizabad, Punjab, Pakistan, and the assessment of health problems of workers associated with these pollutants. A significant difference was found in PM(1.0), PM(2.5), PM(4.0), and PM(10.0) with reference to nine different sampling stations with p values <0.05. Multiple comparisons of particulate matter with respect to size, i.e. PM(1.0), PM(2.5), PM(4.0), and PM(10.0), depict that PM(1.0) differs significantly from PM(2.5), PM(4.0), and PM(10.0), with p values <0.05 and that PM(2.5) differs significantly from PM(1.0) and PM(10.0), with p values <0.05, whereas PM(2.5) differs non-significantly from PM(4.0), with a p value >0.05 in defined sampling stations on an average basis. Majority of the workers were facing several diseases due to interaction with particulate matter (cotton dust) during working hours. Flue, cough, eye, and skin infections were the most common diseases among workers caused by particulate matter (cotton dust). 相似文献
5.
Alibeigi-Beni Sajjad Habibi Zare Masoud Pourafshari Chenar Mahdi Sadeghi Morteza Shirazian Saeed 《Environmental science and pollution research international》2021,28(7):8235-8245
Environmental Science and Pollution Research - Treatment of textile wastewater using ultrafiltration membranes was carried out in this study. Since membrane fouling is a major operational problem... 相似文献
6.
Using Paleo Reconstructions to Improve Streamflow Forecast Lead Time in the Western United States 总被引:2,自引:0,他引:2
Christopher Carrier Ajay Kalra Sajjad Ahmad 《Journal of the American Water Resources Association》2013,49(6):1351-1366
In water stressed regions, water managers are exploring new horizons that would help in long‐range streamflow forecasts. Oceanic‐atmospheric oscillations have been shown to influence streamflow variability. In this study, long‐lead time streamflow forecasts are made using a multiclass kernel‐based data‐driven support vector machine (SVM) model. The extended streamflow records based on tree ring reconstructions were used to provide a longer time series data. Reconstructed data were used from 1658 to 1952 and the instrumental record was used from 1953 to 2007. Reconstructions for oceanic‐atmospheric oscillations included the El Niño‐Southern Oscillation, Pacific Decadal Oscillation, Atlantic Multidecadal Oscillation, and North Atlantic Oscillation. Streamflow forecasts using all four oscillations were made with one‐year to five‐year lead times for 21 gages in the western United States. This is the first study that uses both instrumental and reconstructed data of oscillations in SVM model to improve streamflow forecast lead time. SVM model was able to provide “satisfactory” to “very good” forecasts with one‐ to five‐year lead time for the selected gages. The use of all the oscillation indices helped in achieving better predictability compared to using individual oscillations. The SVM modeling results are better when compared with multiple linear regression model forecasts. The findings are statistical in nature and are expected to be useful for long‐term water resources planning and management. 相似文献
7.
Evaluating Water Conservation and Reuse Policies Using a Dynamic Water Balance Model 总被引:4,自引:0,他引:4
Kamal Qaiser Sajjad Ahmad Walter Johnson Jacimaria R. Batista 《Environmental management》2013,51(2):449-458
A dynamic water balance model is created to examine the effects of different water conservation policies and recycled water use on water demand and supply in a region faced with water shortages and significant population growth, the Las Vegas Valley (LVV). The model, developed using system dynamics approach, includes an unusual component of the water system, return flow credits, where credits are accrued for returning treated wastewater to the water supply source. In LVV, Lake Mead serves as, both the drinking water source and the receiving body for treated wastewater. LVV has a consumptive use allocation from Lake Mead but return flow credits allow the water agency to pull out additional water equal to the amount returned as treated wastewater. This backdrop results in a scenario in which conservation may cause a decline in the available water supply. Current water use in LVV is 945 lpcd (250 gpcd), which the water agency aims to reduce to 752 lpcd (199 gpcd) by 2035, mainly through water conservation. Different conservation policies focused on indoor and outdoor water use, along with different population growth scenarios, are modeled for their effects on the water demand and supply. Major contribution of this study is in highlighting the importance of outdoor water conservation and the effectiveness of reducing population growth rate in addressing the future water shortages. The water agency target to decrease consumption, if met completely through outdoor conservation, coupled with lower population growth rate, can potentially satisfy the Valley’s water demands through 2035. 相似文献
8.
Esfanjani Pouya Jahangiri Sajjad Heidarian Ali Valipour Mohammad Sadegh Rashidi Saman 《Environmental science and pollution research international》2022,29(28):42616-42646
Environmental Science and Pollution Research - Solar energy is the most sustainable and free source to manage the world energy demand. One aspect of solar-driven energy supply can be observed in... 相似文献
9.
Sajjad Haider Rab Nawaz Muzammil Anjum Tahir Haneef Vipin Kumar Oad Salah Uddinkhan Rawaiz Khan Muhammad Aqif 《Frontiers of Environmental Science & Engineering》2023,17(9):111
10.
Faiza Sajjad Umara Noreen Khalid Zaman 《Environmental science and pollution research international》2014,21(21):12403-12418
The objective of the study is to examine the long-run and causal relationship between climate change (i.e., greenhouse gas emissions, hydrofluorocarbons, per fluorocarbons, and sulfur hexafluoride), air pollution (i.e., methane emissions, nitrous oxide emissions, and carbon dioxide emissions), and tourism development indicators (i.e., international tourism receipts, international tourism expenditures, natural resource depletion, and net forest depletion) in the World’s largest regions. The aggregate data is used for robust analysis in the South Asia, the Middle East and North Africa, sub-Saharan Africa, and East Asia and the Pacific regions, over a period of 1975–2012. The results show that climatic factors and air pollution have a negative impact on tourism indicators in the form of deforestation and natural resource depletion. The impact is evident, as we have seen the systematic eroding of tourism industry, due to severe changes in climate and increasing strain of air pollution. There are several channels of cause–effect relationship between the climatic factors, air pollution, and tourism indicators in the World’s region. The study confirms the unidirectional, bidirectional, and causality independent relationship between climatic factors, air pollution, and tourism indicators in the World. It is conclusive that tourism industry is facing all time bigger challenges of reduce investment, less resources, and minor importance from the government agencies because of the two broad challenges, i.e., climate change and air pollution, putting them in a dismal state. 相似文献