• 研究简报 •

### 基于地学信息图谱的深圳湾湿地景观变化分析

1. 1. 华南师范大学地理科学学院 广州 510631;
2. 嘉应学院地理科学与旅游学院 梅州 514015
• 收稿日期:2016-06-14 修回日期:2016-09-14 出版日期:2018-03-25 发布日期:2018-04-13
• 基金资助:
国家自然科学基金面上项目（41271060）。

### Analysis of Wetland Landscape Changes in the Shenzhen Bay Based on Geo-Information TUPU

Chen Zhiyun1,2, Niu Anyi1, Xu Songjun1, Ma Jiaojiao1

1. 1. School of Geography, South China Normal University Guangzhou 510631;
2. School of Geography Science and Tourism, Jiaying University Meizhou 514015
• Received:2016-06-14 Revised:2016-09-14 Online:2018-03-25 Published:2018-04-13

Abstract: [Objective] Geo-information TUPU can express spatial structure feature and temporal dynamics function. With this theory and method, we can construct wetland landscape change TUPU, and analyze the characteristics and laws of the study area, to provide decision support for the rational use and sustainable development of ecological environment.[Method] In this paper, the research is conducted based on the geo-information TUPU analytic method. By using the ENVI software to do supervised classification and ArcGIS software to do data format conversion and map algebra, the authors have compounded a series of varying TUPU of the wetland landscape by using spatial data covering three periods(1987, 1999 and 2015)in the Shenzhen Bay. We can comprehend the changes of wetland landscape in the Shenzhen Bay.[Result] The result shows that great changes have taken place on the wetland landscape in this bay during the past 26 years. 1) From the table which was TUPU unit order of wetland landscape change from 1987 to 1999 in the Shenzhen Bay, water area and base around the pond were declining most and significantly. The area of water being changed to tidal flats was 257.22 hm2 and 12.9% of all changes in the area. The area of bare land being changed to built-up was 192.69 hm2 and 9.6% of all changes in the area. Both tow landscapes were mainly in the northwest and northeast of the Shenzhen Bay. From the table which was conversion matrix of wetland landscape from 1987 to 1999 in the Shenzhen Bay, the increasing area of built-up area and bare land were 573.66 hm2 and 296.01 hm2, and the rate of change were 148.34% and 133.27%, which mainly became from base around the pond, water area and tidal flats and so on. 2) From the table which was TUPU unit order of wetland landscape change from 1999 to 2015 in the Shenzhen Bay, tidal flats, water area and bare land were declining significantly. The tidal flats became water area and water area became built-up area were most obvious, their change area both were about 407 hm2 and 18.9% of all changes in the area. Secondary, the area of bare land became built-up area was 357 hm2 and 16.6% of all changes in the area. These changes were mainly located in the Futian Mangrove Nature Reserve, Nanyou Area and Shenzhen Overseas Chinese Town(OCT)Area and other places. From the table which was conversion matrix of wetland landscape from 1999 to 2015 in the Shenzhen Bay, the increasing area of mangrove and green land were 59.4 hm2 and 371.25 hm2, and the rate of change were 80.88% and 92.99%. Mangrove mainly became from built-up areas, base around the pond and green land, while green land mainly became from built-up area, water area and bare land. 3) From 1987 to 2015, the arising area of built-up area, bare land, green land and mangrove were obvious. The most of increasing TUPU units was built-up area, which area was 1 471 hm2 and 55.2% of the total area of arising. The area of other landscape types had decreased such as tidal flats, water area, and base around the pond. Totally, the area of transfer was 2 104.65 hm2 and 79.00% of the total area of declining. The increase parts of mangrove were two times about the stable part, meaning the area of mangrove was increasing faster, which was distributed at Futian Mangrove Nature Reserve in Shenzhen Bay.[Conclusion] Geo-information TUPU method has been adopted to form the maps like changing, arising and declining, which contain various landscape types of change, increase or decrease. It is more conducive to explore the cause of the landscape change, process and predict the future trends.