scholarly journals THE GROWTH OF LOCAL TREE SPECIES ON POST-COAL MINING AREAS IN EAST KALIMANTAN

2020 ◽  
Vol 7 (2) ◽  
pp. 83-97
Author(s):  
Burhanuddin Adman ◽  
Ardiyanto Wahyu Nugroho ◽  
Ishak Yassir

Post-coal mining areas need rehabilitation to restore its functionality. Not all plants could grow well on bare ex-coal mining area because of the excessive light intensity and extreme temperature fluctuations. This study is aimed to determine suitable local tree species for rehabilitating mined areas. Planting was carried out in November 2012, and observations were made in November 2015. The study site was in the district of Samboja, Kutai Kartanegara, East Kalimantan Province, Indonesia. Research results revealed that seven tree species survived well in the ex-coal mining land, i.e., Vitex pinnata L., Syzygium scortechinii (Merr.) Merr. & Perry, Syzygium polyanthum (Wight) Walp., Shorea balangeran (Korth.) Burck, Macaranga motleyana (Mull.Arg.) Mull.Arg., Cleistanthus myrianthus (Hassk.) Kurz and Syzygium lineatum (DC.) Merr. & L.M. Perry. From the seven species V. pinnata, Sy. scortechinii and Sy. polyanthum performed best in both survival and growth rates. This study suggests those three species are excellent local tree species for ex-coal mining rehabilitation, not only because of their high survival rate (≥80%) and fast-growing but also they produce favourable fruits and flowers for wildlife.

2013 ◽  
Vol 726-731 ◽  
pp. 1115-1120 ◽  
Author(s):  
Li Zhang

In order to unravel the correlation and causality between multi-stressor sources, multi-risk receptors and multi-type ecological effects of the Yulin Coal Mining Area. Through qualitative evaluation, this study preliminarily described the main stressor sources, risk receptors and the largest ecological effect over the Yulin coal mining area and progressive and conductive relation among the stressor sources, risk receptors and ecological effects using the Procedure for Ecological Tiered Assessment of Risk method (PETAR). The PETAR method seems to be operable and effective in evaluating coal mining areas ecological risks with multiple risk sources, risk receptors and multi-type ecological effects.


Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Jiaqi Jin ◽  
Chicheng Yan ◽  
Yixuan Tang ◽  
Yilong Yin

Along with the accelerated shift of coal mining to the ecologically fragile west, the contradiction between coal resource development and ecological protection in the western arid and semiarid coal mining areas is rapidly intensifying. Based on the above background, this thesis takes the coal mining area in the arid and semiarid regions as an example; applies the theories of ecology, coal mining subsidence, geodesy, and ecological restoration; uses remote sensing in synthetic aperture radar (SAR), geographic information system (GIS), and mathematical modelling to reveal the ecological evolution law of the mining area; measures the ecological damage of the mining area; and then proposes a reasonable ecological restoration strategy. The surface deformation monitoring study in the study area shows that on the whole, some areas in the study area have different degrees of surface subsidence disasters, and the maximum surface subsidence value exceeds 800 mm. From the distribution of surface subsidence in the study area, surface subsidence disasters mainly occur in the eastern and central mountainous areas rich in coal resources, as well as in the mining areas west of the Yellow River, and the subsidence basins are distributed in a series of irregular concentric ovals. In terms of the scale of surface subsidence in the study area, a total of 230.03 km2 of land in the study area showed surface subsidence hazards during the monitoring period, accounting for 13.78% of the total area of the study area, of which the area of severe subsidence was 44.98 km2 (2.69%). The area of more serious subsidence area is 101.33 km2 (6.07%), and the area affected by subsidence is 83.72 km2 (5.01%).


2021 ◽  
Vol 4 (2) ◽  
pp. 98
Author(s):  
Liza Niningsih ◽  
Sri Suci Utami Atmoko ◽  
Hadi S Alikodra ◽  
Yeni A Mulyani

Coal mining changed forest structure and composition, it caused large negative impacts on the orangutan. In order to mitigate those negative effects, it is crucial to understand their nesting behavior adaptation in mining area. We investigated 74 times nested event in coal mining rehabilition area (CMRA) in East Kutai and 123 times in the Kutai National Park (Prevab) from October 2013 to September 2014 and include only night nests. We compared both habitats. Orangutans in CMRA built the nest later than in Prevab and used 15 species of trees as nests sites intensively on Senna siamea and Gmelina arborea. In Prevab, 35 species with the higher frequencies on Eusideroxylon zwageri and Dracontomelon dao. The average diameter of nest trees in CMRA smaller than Prevab. The height of nest trees in CMRA with the highest frequency was in 10.1-15 m, while in Prevab was as in 20.1-25 m. Orangutans in CMRA nested at the height of <15 m, lower than in Prevab was >20 m. Reused nest in CMRA was higher than in Prevab. Orangutans in CMRA more often built nests at the peak and limb, while in Prevab at the limb and peak. Orangutans in CMRA had learned to utilize various species and dimensions of trees as the place to build nests.


Author(s):  
Hasriani Muis ◽  
I Nengah Surati Jaya ◽  
Muhammad Buce Saleh ◽  
Kukuh Murtilakono

<p>This paper describes how the information of the key indicators for assessing the degree of forest reclamation success in ex coal-mining area was identified. Those indicators were analyzed using the descriptive statistic as well as the discriminant analysis on the basis of biophysical data representing age class of vegetation after reclamation. The main objective of the study was to find out the predominant key indicator that determines the success of forest reclamation in ex coal-mining areas. This study found that the variance of basal area, green biomass and increment was relatively high between young plantation and old plantation. The study confirmed that the variation of the success of reclamation was strongly influenced by site quality. . The study concluded that the best indicators to be used for assessing the success of forest reclamation was the increment providing accuracy more than 79.6% either for indicator five or three classes.</p>


2021 ◽  
Vol 13 (24) ◽  
pp. 5040
Author(s):  
Xinhui Li ◽  
Shaogang Lei ◽  
Ying Liu ◽  
Hang Chen ◽  
Yibo Zhao ◽  
...  

Open-pit coal mining plays an important role in supporting national economic development; however, it has caused ecological problems and even seriously impacted regional ecological stability. Given the importance of maintaining ecological stability in semi-arid coal mining areas, this study used a coupling coordination degree approach based on the structural and functional state transition model (SFSTM) to evaluate the spatio–temporal variation of ecological stability from 2002 to 2017 by using MODIS and Landsat datasets in the semi-arid open-pit coal mining area. Besides, random points were created for different ecological stability levels (containing natural areas, coal mining areas, and reclamation areas) and segment linear regression was conducted to determine the structural change threshold for negative state transitions based on mining and positive state transitions based on reclamation. Furthermore, the impact factors of ecological stability were analyzed. Results showed that ecological stability fluctuated significantly over 16 years, showing a trend of first increasing and then decreasing. It was found that precipitation and temperature were the key natural factors affecting ecological stability, and mining activities constituted the dominant factor. The average perturbation distances to ecological stability from mining activities in the west, southwest, and east mining groups were 7500, 5500, and 8000 m, respectively. SFSTM is appliable to the coal mining ecosystem. Quantitative models of ecological stability response can help resolve ambiguity about management efficacy and the ecological stability results facilitate iterative updating of knowledge by using monitoring data from coal mining areas. Moreover, the proposed ecological structural threshold provides a useful early warning tool, which can aid in the reduction of ecosystem uncertainty and avoid reverse transformations of the positive state in the coal mining areas.


2021 ◽  
Vol 6 (2) ◽  
Author(s):  
Melisyah Melisyah ◽  
Eddy Ibrahim ◽  
Laila Hanum ◽  
Nabila Aprianti ◽  
Ratih Wijayanti

Coal mining activities have affected the soil and vegetation conditions on the mined land. Revegetation of ex-mining land is a must to balance environmental functions. The choice of plants must be adapted to the conditions of the ex-mining land so that growth continues. The use of local plants for revegetation is fascinating to study. This study aimed to investigate the soil characteristics of ex-coal mining land and bamboo growth as a plant used for revegetation. Bamboo is collected from around the former coal mining area. Bamboo growth is observed through its branching for 12 weeks of measurement. Soil is analyzed based on its physical and chemical properties. The Schmidt-Ferguson method was used to analyze the climate type in the study area. The results of the soil analysis show that the plants can still grow for revegetation. Of the three types of bamboo observed (Schizostachyum brachycladum kurz, Dendrocalamus asper, and Gigantochloa robusta), Schizostachyum brachycladum kurz is the best growing bamboo in ex-coal mining land with a branch length of 42 cm in 12 weeks of measurement. The climate in the ex-coal mining area studied is a wet type (Q = 0.184). Bamboo is a suitable plant for revegetation, especially in coal mining areas in South Sumatra, Indonesia.


Author(s):  
V. V. Karabyn

The essence of subsidence and flooding of the territories was exa­mined. Using the route observation method, the phenomenon of subsidence and flooding within the Chervonohrad industrial mining region of the Lviv-Volyn coal basin was evaluated. The obtained results were compared with the data of geodetic monitoring and aerial photographs decoding. The intensity of subsidence and flooding of the surface was compared with the natural and technogenic factors. The classification of factors of subsidence and flooding of the coal mining area within the Chervonohrad industrial mining region of the Lviv-Volyn coal basin was carried out. Geological, climatic, and landscape factors were distinguished and grouped together as natural factors, while mining and residential factors were combined into a technogenic group. The selection of each factor is justified by the results of field and experimental explorations within the area of research. Relationships between factors of subsidence and flooding were established.


Sign in / Sign up

Export Citation Format

Share Document