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A case study of hydrocarbon prospect evaluation in north Exito field by using seismic attribute and seismic inversion AIP Conference Proceedings 1862, 030193 (2017) There are two factors land management intervention: 1) land with agriculture, and 2) land with cultivation. These factors selected in accordance with the regulations of spatial plan area. Application of the SWAT demonstrated that the model can predict surface runoff, soil erosion loss and sediment yield. The erosion risk for each watershed can be classified and predicted its changes based on the scenarios which arranged. In this paper, we also discussed the relationship between the distribution of erosion risk and watershed's characteristics in a spatial perspective.

The mountainous region provides ecosystem services for the surrounding area and its lowland area. Patuha Mountain Region located in Ciwidey, Rancabali and Pasirjambu district of Bandung Regency. Fast population growth causing the need for water to increase drastically. The water yield from an ecosystem or watershed can be estimated using a hydrological model. This study aimed to estimate water yield, both the magnitude and their spatial distribution of the Patuha Mountain catchment areas. The water yield from the study area was calculated using the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) water yield model, which based on the water balance approach. The results indicated that the volume of water yield in Patuha Mountain for 2018 has a value between 21.429 to 31.857 m3/ha/year and approximately 1.202 million m3 per year. Spatially, sub-watersheds with a high volume of Water yield located in the southeast of Patuha Mountain, which is a mountainous area with an elevation of more than 1.500 m above sea level and rainfall average of 2.500 to 3300 mm per year. The water yield area also shows the same pattern with the distribution of the rainfall area.

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Sirimau District has the largest population in Ambon City which has an impact on the need for higher residential land, this will certainly affect uncontrolled land cover changes and have an impact on land conversion and environmental damage. This study aims to analyze land cover changes in Sirimau District in 2012, 2017, and 2022, and predict land cover in 2031. This study uses the Cellular Automata Markov Chains (CA-MC) method. The results showed that in the period 2012-2031 the area of residential land cover and open land continued to increase along with the increase in population and the high need for built-up land. In contrast to the land cover of agricultural areas and non-agricultural areas, which experienced a decrease in area. The results of the research are expected to be used as a basis for making policies related to the arrangement and good use of space in the future