Driving Factors of Karst Wetland Degradation from the Perspective of Hydrogeology: A Case Study in SW China

Author(s):  
Liankai Zhang ◽  
Shengzhang Zou ◽  
Lina Shen ◽  
Yi Zhao
2019 ◽  
Vol 4 (1) ◽  
pp. 34-44
Author(s):  
Indah Ahdiah

AbstrakThis study aims to determine the background and motivating factors for survivors to become local volunteers in the earthquake, tsunami and liquefaction natural disasters that occurred on September 28 in the city of Palu. The method used is a qualitative method with a case study approach. The results of the study showed that being a survivor's background in volunteering was a position as a board or member of Muhammadiyah, and there was also an interest in MDMC work. The driving factors (1) imply the meaning of Al Maun, be useful human beings, (2) as an act of gratitude, (3) an expression of gratitude for the opportunity of life given by God, (4) working as a volunteer becomes one of the ways to restore emotions.Keywords : survivor, volunteer, humanitarian organizations


2018 ◽  
Vol 137 (1-2) ◽  
pp. 239-254
Author(s):  
Marioara Costea ◽  
Ecaterina Lengyel ◽  
Diana Stegăruş ◽  
Nicolae Rusan ◽  
Ioan Tăuşan

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2757 ◽  
Author(s):  
Kongming Li ◽  
Mingming Feng ◽  
Asim Biswas ◽  
Haohai Su ◽  
Yalin Niu ◽  
...  

Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local conditions, thus supporting local socioeconomic development and global environmental protection. In this study, taking Gansu Province as a case study example, we explored the LUCC pattern and its driving mechanism from 1980 to 2018, and predicted land use and cover in 2030 using the integrated LCM (Logistic-Cellular Automata-Markov chain) model and data from satellite remote sensing. The results suggest that the LUCC pattern was more reasonable in the second stage (2005 to 2018) compared with that in the first stage (1980 to 2005). This was because a large area of green lands was protected by ecological engineering in the second stage. From 1980 to 2018, in general, natural factors were the main force influencing changes in land use and cover in Gansu, while the effects of socioeconomic factors were not significant because of the slow development of economy. Landscape indices analysis indicated that predicted land use and cover in 2030 under the ecological protection scenario would be more favorable than under the historical trend scenario. Besides, results from the present study suggested that LUCC in arid and semiarid area could be well detected by the LCM model. This study would hopefully provide theoretical instructions for future land use planning and management, as well as a new methodology reference for LUCC analysis in arid and semiarid regions.


2020 ◽  
Vol 269 ◽  
pp. 105529 ◽  
Author(s):  
Feng Shangxin ◽  
Zhao Yufei ◽  
Wang Yujie ◽  
Wang Shanyong ◽  
Cao Ruilang

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