Lusi Ces A1是亚麻纤维素生物合成途径中的关键基因。在已报道部分序列的基础上,采用特异引物的设计进行高保真PCR扩增并测序,获得亚麻Lusi Ces A1基因的全长序列,该基因序列长3 225bp,并通过交错延伸PCR技术进行了验证。该研究为亚麻Lu...Lusi Ces A1是亚麻纤维素生物合成途径中的关键基因。在已报道部分序列的基础上,采用特异引物的设计进行高保真PCR扩增并测序,获得亚麻Lusi Ces A1基因的全长序列,该基因序列长3 225bp,并通过交错延伸PCR技术进行了验证。该研究为亚麻Lusi Ces A1基因的结构和功能分析奠定了基础。展开更多
A sedimentation issue in the estuary of Porong induced by Lapindo hot mud discharge had caused a significant morphological alteration.This study aims to determine the geomorphological evolution in the Porong Estuary a...A sedimentation issue in the estuary of Porong induced by Lapindo hot mud discharge had caused a significant morphological alteration.This study aims to determine the geomorphological evolution in the Porong Estuary and the geochronological formation of Lusi Island.This study employed a numerical modeling approach,consisting of flow and sediment transport modeling modules(Delft3D-FLOW and Delft3D-SED),with a curvilinear grid resolution of 25-50 m over a 5×6 km domain.A satellite imagery processing was also performed using multitemporal Landsat data(2000-2024)analyzed using the Modified Normalized Difference Water Index(MNDWI),followed by binary classification and vector digitization.The results show that sediment accumulation of±0.06 m in 15 days,increasing to over 1 m after four years(MORFAC 96),with land expansion confirmed by satellite data from 6.29 hectares in 2000 to 147.86 hectares in 2024.Of particular concern,the increasing sediment thickness from 0.0026 m to 0.38 m over a 14-year equivalent simulation suggests a sustained process of geomorphological development.The findings of this study emphasize significant sedimentation trends and the dynamics of the estuarine environment in the Porong Estuary.It is,therefore,crucial to implement coastal hazard mitigation strategies,effective land use planning,and environmental monitoring to minimize further environmental degradation resulting from excessive sedimentation.展开更多
Remotely sensed data are capable of providing spatial and temporal information on land use land cover(LULC)over a large extent of land.The Sidoarjo District in East Java Province has recently been extensively explored...Remotely sensed data are capable of providing spatial and temporal information on land use land cover(LULC)over a large extent of land.The Sidoarjo District in East Java Province has recently been extensively explored for economic development opportunities.This paper examines the use of multi-temporal Landsat images in deriving information for LULC maps,changes of land development and natural ecosystems such as mangrove forest within particular economic reform areas.Results suggest a minimum accuracy(baseline)for LULC mapping using Landsat multispectral reflectance data of 74% for the overall accuracy(OA)and 0.70 for the kappa coefficient of agreement(kappa).On average an acceptable accuracy(OA=88% and kappa=0.86)can be achieved by integrating multispectral reflectance and green normalized difference vegetation index(GNDVI)to support vector machine classification.The economic reform in the Sidoarjo District made a significant change to LULC and mangrove distribution.From 1995 to 2015,25% of crop land and 15% of bare land changed to become built-up areas,and 8% of wetland and 22% of mangroves changed to crop land.A remarkable decrease of mangrove forest occurred in the interior land along the river systems over the whole district.Fortunately,the coastal mangroves areas saw a significant increase due to the Lumpur Sidoarjo(LUSI)-caused mud flow sediments near the estuary of the river.The impact of extensive economic activities and development on the natural mangrove forests was partially compensated for by the LUSI events and also newly developed local community oriented conservative management.展开更多
文摘Lusi Ces A1是亚麻纤维素生物合成途径中的关键基因。在已报道部分序列的基础上,采用特异引物的设计进行高保真PCR扩增并测序,获得亚麻Lusi Ces A1基因的全长序列,该基因序列长3 225bp,并通过交错延伸PCR技术进行了验证。该研究为亚麻Lusi Ces A1基因的结构和功能分析奠定了基础。
文摘A sedimentation issue in the estuary of Porong induced by Lapindo hot mud discharge had caused a significant morphological alteration.This study aims to determine the geomorphological evolution in the Porong Estuary and the geochronological formation of Lusi Island.This study employed a numerical modeling approach,consisting of flow and sediment transport modeling modules(Delft3D-FLOW and Delft3D-SED),with a curvilinear grid resolution of 25-50 m over a 5×6 km domain.A satellite imagery processing was also performed using multitemporal Landsat data(2000-2024)analyzed using the Modified Normalized Difference Water Index(MNDWI),followed by binary classification and vector digitization.The results show that sediment accumulation of±0.06 m in 15 days,increasing to over 1 m after four years(MORFAC 96),with land expansion confirmed by satellite data from 6.29 hectares in 2000 to 147.86 hectares in 2024.Of particular concern,the increasing sediment thickness from 0.0026 m to 0.38 m over a 14-year equivalent simulation suggests a sustained process of geomorphological development.The findings of this study emphasize significant sedimentation trends and the dynamics of the estuarine environment in the Porong Estuary.It is,therefore,crucial to implement coastal hazard mitigation strategies,effective land use planning,and environmental monitoring to minimize further environmental degradation resulting from excessive sedimentation.
文摘Remotely sensed data are capable of providing spatial and temporal information on land use land cover(LULC)over a large extent of land.The Sidoarjo District in East Java Province has recently been extensively explored for economic development opportunities.This paper examines the use of multi-temporal Landsat images in deriving information for LULC maps,changes of land development and natural ecosystems such as mangrove forest within particular economic reform areas.Results suggest a minimum accuracy(baseline)for LULC mapping using Landsat multispectral reflectance data of 74% for the overall accuracy(OA)and 0.70 for the kappa coefficient of agreement(kappa).On average an acceptable accuracy(OA=88% and kappa=0.86)can be achieved by integrating multispectral reflectance and green normalized difference vegetation index(GNDVI)to support vector machine classification.The economic reform in the Sidoarjo District made a significant change to LULC and mangrove distribution.From 1995 to 2015,25% of crop land and 15% of bare land changed to become built-up areas,and 8% of wetland and 22% of mangroves changed to crop land.A remarkable decrease of mangrove forest occurred in the interior land along the river systems over the whole district.Fortunately,the coastal mangroves areas saw a significant increase due to the Lumpur Sidoarjo(LUSI)-caused mud flow sediments near the estuary of the river.The impact of extensive economic activities and development on the natural mangrove forests was partially compensated for by the LUSI events and also newly developed local community oriented conservative management.
