The Bogowonto Hulu sub-watershed has high flooding potential, especially during the rainy season. This flooding causes physical, social, and economic losses for the local community and so the Bener Dam was built to reduce the volume of flooding in the area. This research aims to find out the effectiveness of the Bener Dam in overcoming the problem of flooding around the Bogowonto Hulu sub-watershed. The effectiveness of dams can be analysed by comparing the volume of the dam reservoir with the peak discharge amount generated. The value of peak discharge can be obtained using remote-sensing data and mathematical calculations following the rational method. Using this method, the estimated peak discharge value obtained for the watershed was 302.3 m3/s while the value of dam capacity was only 210 m3/s, giving 92.3 m3/s of flooding potential. It is necessary to reduce the potential for flooding by building an IR reservoir in the catchment area, so that rainwater is accommodated rather than being immediately depleted, and to reduce concentration time.
The coastal area of Purworejo Regency has the potential to be hit by a mega-tsunami disaster because it includes the southern coast of Java Island which is faced with seismic gaps that may produce large earthquakes in the future. This study aims to simulate tsunami disaster mitigation in the coastal area of Purworejo Regency in an effort to raise awareness and increase the community capacity for dealing with potential tsunamis so that the level of loss can be minimized. The tsunami risk analysis is based on the Disaster Crunch model, which is a combination of vulnerability analysis based on the weighted overlay quantitative method and tsunami hazard analysis based on tsunami inundation reduction modeling and cost distance analysis. The planning of the tsunami evacuation route is based on the network analysis method. The tsunami-risk area with a run-up scenario of three meters in the coastal area of Purworejo Regency 126,29 square kilometers or about 72,52% of the total coastal area. There are five tsunami evacuation plan points, with five main tsunami evacuation routes that lead directly to each of these points.
Remote sensing data for analyzing and evaluating trophic state ecosystem problems seen in Batur Lake isan approach that is suitable for water parameters that cannot be observed terrestrially. As the multitemporal spatial data used in this study were extensive, it was necessary to consider the effectiveness and efficiency of the processing and analysis, therefore R Studio was used as a data processing tool. Theresearch aims to(1) map the trophic state of Batur Lake multitemporally usingPlanetScope Imagery;(2) assess the accuracy of the trophic state model and applyitto anothertemporal data as a SpatialBigData;and (3) understand the trophic state impacton the water quality of Batur Lake based on physical factors andthelake’s chemical concentration (sulfur concentration). Theresearch showsthatthetrophic state of Batur Lake isin good condition,with an ultraoligotrophic state as the majority class,based on the mean Trophic State Index (TSI) value of9.49. The standard errorsof each trophic state parameter were0.010 for total phosphor, 0.609 for chlorophyll-a, and 0.225 for Secchi Disk Transparency (SDT). The multitemporal model demonstratesthat the correlation between the increase oftrophic state and mass fish death cases in Batur Lake is existent.
Abstract. Puspanti A, Kusumandari A, Faida LRW, Sudaryatno. 2021. Impact of rehabilitation and status area change on land cover and carbon storage in Paliyan Wildlife Reserve, Gunung Kidul, Indonesia. Biodiversitas 22: 3964-3971. This study analyzed the land cover change and carbon storage after the rehabilitation of Paliyan forest. This study mainly focused on the forest status during 1999-2019, especially after establishing a wildlife reserve forest and after rehabilitation activity. We used a combination of canopy density model, carbon conversion, and changes of management-related data to analyze land cover classes in two decades of 1999-2009 and 2009-2019 representing the change in status of the area, rehabilitation, and management dynamics through the time. The result shows that at baseline (1999), the status was still production plantation forest dominated by non-forest/open land with the most carbon storage in plantation forest of 5463.04 tons of carbon. In the first decade, important events occurred such as continuing illegal logging until 2001; change of area status to wildlife reserve forest; and initiation of rehabilitation in 2003. There was an increase in non-forest areas during the first decade, and carbon storage decreased mostly in plantation forests with only 867.71 tons of carbon remaining. In the second decade, rehabilitation has shown a positive impact in increasing forested areas, and altered non-forest to the forested area dominated by open forest/mixed agriculture area, followed by plantation forest, and secondary forest. In this decade, the legality of the area status and rehabilitation activity underwent to be more advance. The carbon storage also shows the positive result with the most increase of storage in plantation forest of 4072.932 tons carbon, or almost 4.7 times higher than that in 2009. Total carbon storage in 2019 was 13257.50 tons, or almost three times higher than that in 2009. The rehabilitation required a longer period to achieve a more dense forest condition as in 2019 the area was still dominated by open forest or agriculture. The smallholder farmers and high dependency of the surrounding community manage the land to feed their livestock, impede the rehabilitation and restoration process, and de-escalate the transition from non-forest to forest resulted in the more vegetated area. This result is important for stakeholders for designing appropriate forest-related policies and supporting further rehabilitation strategies.
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