閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2019, Vol. 34 鈥衡�� Issue (1): 90-100.DOI: 10.11873/j.issn.1004-0323.2019.1.0090

鈥� 鍦熷湴鍒╃敤/瑕嗚涓撴爮 鈥� 涓婁竴绡�    涓嬩竴绡�

杩�30 a鏉ヨ挋鍙ゅ浗涔屽叞宸存墭甯傚煄闀囨墿寮犲強鍏堕┍鍔ㄥ姏鍒嗘瀽

绋嬪嚡1锛�2锛岀帇鍗蜂箰1锛�4锛孞aahanaa Davaadorj3锛岄煩闆崕1锛�2顎�   

  1. 锛�1.涓浗绉戝闄㈠湴鐞嗙瀛︿笌璧勬簮鐮旂┒鎵�璧勬簮涓庣幆澧冧俊鎭郴缁熷浗瀹堕噸鐐瑰疄楠屽锛屽寳浜� 100101锛涱��
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  • 鏀剁鏃ユ湡:2018-01-31 鍑虹増鏃ユ湡:2019-02-20 鍙戝竷鏃ユ湡:2019-04-02
  • 浣滆�呯畝浠�:绋嬪嚡锛�1991-锛夛紝鐢凤紝杈藉畞鍑屾簮浜猴紝鍗氬+鐮旂┒鐢燂紝涓昏浠庝簨閬ユ劅淇℃伅鎻愬彇鐮旂┒銆侲-mail锛歝hengk@lreis.ac.cn銆�
  • 鍩洪噾璧勫姪:
    涓浗绉戝闄㈡垬鐣ユ�у厛瀵肩鎶�涓撻」锛圓绫伙級锛圶DA2003020302锛夛紝涓浗绉戝闄⑩�滃崄涓変簲鈥濅俊鎭寲涓撻」绉戝澶ф暟鎹伐绋嬮」鐩紙XXH13505-07锛夛紝涓浗宸ョ▼绉戞妧鐭ヨ瘑涓績寤鸿椤圭洰锛圕KCEST-2018-2-8锛�.

Urban Expansion and Driving Force Analysis of Ulaanbaatar in Mongolia in Recent Thirty Years

Cheng Kai1锛�2锛學ang Juanle1锛�4锛孞aahanaa Davaadorj3锛孒an Xuehua1锛�2顎�   

  1. (1.State Key Laboratory of Resources and Environmental Information System锛孖nstitute of Geographic顎僑ciences and Natural Resources Research锛孋hinese Academy of Sciences锛孊eijing 100101锛孋hina; 2.University of Chinese Academy of Sciences锛孊eijing 100049锛孋hina; 顎�
    3.School of Art & Sciences锛孴he National University of Mongolia锛孶laanbaatar 14201锛孧ongolia; 4.Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application锛孨anjing 210023锛孋hina)
  • Received:2018-01-31 Online:2019-02-20 Published:2019-04-02

鎽樿锛� 钂欏彜鍥借嚜20涓栫邯90骞翠唬鏀夸綋鏀归潻浠ユ潵锛屽煄闀囧寲鍙戝睍杩呴�燂紝璁よ瘑鍏跺尯鍩熷彂灞曠壒寰佷笌鍩庨晣鍖栫壒鐐瑰浜庢垜鍥解�滀竴甯︿竴璺�濆�¤瀹炴柦鍙娾�滀腑钂欎縿缁忔祹璧板粖鈥濆缓璁惧叿鏈夐噸瑕佹剰涔夈�傚熀浜庨仴鎰熷奖鍍忥紝閲囩敤闈㈠悜瀵硅薄鐨勫垎绫绘柟娉曪紝鑾峰彇浜嗚挋鍙ゅ浗涔屽叞宸存墭甯�1990銆�2001銆�2010銆�2017骞村湡鍦拌鐩栨暟鎹泦锛屾�讳綋鍒嗙被绮惧害鍒嗗埆涓�86.00%銆�89.00%銆�91.6%銆�94.80%銆傚埄鐢ㄨ浆绉荤煩闃靛鍏跺湡鍦拌鐩栧彉鍖栦俊鎭繘琛屼簡鎸栨帢锛岀粨鏋滆〃鏄庯細鑽夊湴鈥旀灄鍦般�佽崏鍦扳�斿缓绛戠敤鍦般�佹灄鍦扳�旇崏鍦颁箣闂寸殑杞Щ鍗犵粷瀵逛紭鍔裤�傚缓绛戠敤鍦板骞呮渶澶э紝鎵╁紶瓒嬪娍鏄捐憲锛岄潰绉粠99.87 km2澧炲姞鍒颁簡216.16 km2锛屽骞呰揪鍒颁簡216.44%锛屾墿寮犻�熺巼8.01 km2/a锛屽睘浜庡揩閫熸墿灞曟ā寮忋�傛墿寮犳柟鍚戜互涓寳閮ㄣ�佷笢鍖楅儴鍜岃タ閮ㄤ负涓汇�傚叾涓紝涓寳閮ㄤ富瑕佹槸鈥渟ummer house鈥濆害鍋囨埧灞嬪缓璁句负涓伙紝涓滃寳閮ㄤ互浼犵粺鐨勫鈥旀埛鈥旈櫌鐨勬埧灞嬩负涓伙紙钂欏彜鍖呬笌浣庡眰寤虹瓚娣锋惌锛夛紝瑗块儴浠ュ伐涓氱敤鍦颁笌灞呮皯鐢ㄥ湴涓轰富銆備箤鍏板反鎵樺競鍩庨晣鐢ㄥ湴鎵╁紶鏄閮ㄧぞ浼氱粡娴庡彂灞曞拰鍥藉鍒跺害鏀跨瓥鍏卞悓浣滅敤鍙戠敓鐨勶紝鍏朵腑锛屽湡鍦扮鏈夊寲銆佸競鍦虹粡娴庡寲涓庝汉鍙f暟閲忔槸鍩庨晣鐢ㄥ湴鎵╁紶鏈�涓昏鐨勯┍鍔ㄥ洜绱犮��

鍏抽敭璇�: 鍦熷湴瑕嗙洊鍙樺寲, 寤虹瓚鐢ㄥ湴鎵╁紶, 闈㈠悜瀵硅薄, 鐏拌壊鍏宠仈鍒嗘瀽, 涔屽叞宸存墭

Abstract: Since the reform of the regime in the 1990s锛孧ongolian urban experienced a rapid development.Understanding the characteristics of urbanization and development in Mongolia is much of significance to China鈥檚 implementation of the 鈥淏elt and Road鈥� strategy and 鈥淐hina-Mongolia-Russia Economic Corridor鈥�.This study was based on theLandsat TM/OLI remote sensing image锛寀sing object-oriented classification method锛宎nd obtained 1990锛�2001锛�2010锛�2017 land cover data set锛宼he overall classification accuracy were 86%锛�89%锛�91.6%锛�94.80% respectively锛孠appa coefficient were 0.83锛�0.869锛�0锛�898锛�0锛�935.based on the transfer matrix锛宼he information of land cover change from 1990 to 2017 in Ulaanbaatar was mined锛宼he results showed that锛氣憼 the areas of built area锛宐arren锛宎nd water showed an increasing trend锛宎nd the built area was increased most.On the contrary锛宼he area of forest锛宑ropland锛宎nd grassland showed a tendency to decrease锛宎nd the forest area decreased most.鈶� the transfer between grassland and forest锛実rassland and built area锛宖orest and grassland played a major role in land cover change of Ulaanbaatar.The change area from 1990 to 2001锛�2001 to 2010 and 2010 to 2017 accounted for nearly 71%锛�74%锛宎nd 79% of the total change area.鈶� the expansion trend of built area was significant锛宼he area has increased from 99.87 km顎嬵��2顎塼o 216.16 km顎嬵��2顎夛紝the growth rate has reached 216%锛宼he expansion rate was 8.01 km顎嬵��2顎�/a锛寃hich belonged to the rapid expansion mode.The middle-north with the type of summer house锛宯ortheast with the types of traditional houses based on the structure of home-household-yard锛宮ixture of Mongolian yurts and low buildings锛寃est with the types of industrial land and residential land.The urbanization in Ulaanbaatar caused by the interaction of external social economic development and national policies锛宎mong of which锛宭and privatization and market economic were the main policy driving forces of urbanization

Key words: Land cover change, Built area expansion, Object-oriented classification, Grey correlation analysis

涓浘鍒嗙被鍙�: