DEM and GIS based morphometric and topographic- profile analyses of Danxia landforms

نویسندگان

  • Wen Zhang
  • Yuichi S. Hayakawa
  • Takashi Oguchi
چکیده

“Danxia landform” is a landform type originally defined in China, characterized by red-colored sandstones and steep cliffs, and developed through long-term erosion. In recent years, Danxia landforms have been receiving international attention, and six examples in China became a UNESCO World Natural Heritage in 2010. However, morphometric studies of Danxia landforms in China have been very limited. We conducted DEM-based geomorphometric analyses for 45 watersheds and 319 second-order subwatersheds of Mt. Danxia, a typical Danxia landform in China. Investigated properties include drainage basin area, basin relief, relief ratio, slope, and hypsometry. Mountains and hilly lands dissected by fluvial processes including Danxia landforms can also be characterized by stream longitudinal profiles and valley transverse profiles. Therefore, both profiles for the watersheds in Mt. Danxia were extracted from a DEM and the former was used to analyze the stream length gradient index (SL index), the stream concavity index, and the slope–area relationship. A series of morphometric analyses were conducted to infer lithologic and tectonic influences on the landforms. The results indicate that localized erosion has enhanced deepening of existing fractures rather than lateral erosion to form deep and narrow valleys, while long-term erosion provided large and gentle watersheds. Anomalously higher SL values often occur with knickpoints where bedrock incision is affected by lithology and faults. The results indicate that studied watersheds exhibits high spatial variations in the morphometric properties and some of them resulted from lithologic control.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Morphometric Analyses of Danxia Landforms in Relation to Bedrock Geology: A Case of Mt. Danxia, Guangdong Province, China

The “Danxia landform” is an erosional landform type originally defined in China. It is characterized by redcolored sandstones and steep cliffs, and developed via long-term erosion. Detailed quantitative geomorphometric studies of the characteristics of Danxia landforms in China have not yet been conducted. Using GIS, we conducted DEM-based geomorphometric analyses of 42 watersheds on Mt. Danxia...

متن کامل

Landforms identification using neural network-self organizing map and SRTM data

During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...

متن کامل

DEM-based analysis of morphometric features in humid and hyper-arid environments using artificial neural network

Abstract This paper presents a robust approach using artificial neural networks in the form of a Self Organizing Map (SOM) as a semi-automatic method for analysis and identification of morphometric features in two completely different environments, the Man and Biosphere Reserve “Eastern Carpathians” (Central Europe) in a complex mountainous humid area and Yardangs in Lut Desert, Iran, a hyper...

متن کامل

Significance of combining SRTM DEM and satellite 1 images for generating automated micro - landform map

17 Abstract—This study outlines a method for generating an 18 automated micro-landform map of an alluvial plain for 19 further flood hazard assessment by combining Shuttle Radar 20 Topographic Mission Digital Elevation Model (SRTM DEM) 21 and satellite images. Average elevation and channel features 22 extracted from DEM are associated with soil moist condition 23 (thresholds of Modified Normali...

متن کامل

Cognition-Based Extraction and Modelling of Topographic Eminences

Terrain is generally stored in GIS as an elevation field, whereas human cognition of the landscape is usually object based. To address this mismatch of terrain data models, we propose object-based terrain representation, using topographic eminences, which are landforms that rise up conspicuously from the ground to visibly dominate the landscape, to illustrate our case. We propose a cognition ba...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011