* ᇡᔑݡ⦺Ʊ ၶᔍŝᱶ ([email protected])
Received April 18 2012, Revised July 15 2012, Accepted February 13 2013
Copyright ⵑ 2013 by the Korean Society of Civil Engineers
ǣǣȀȀǤǤȀͳͲǤͳʹͷʹȀ ǤʹͲͳ͵Ǥ͵͵Ǥ͵ǤͳͲ Ǥ ǤǤ
ᦂ⢪ⴖ#⛢㬲㎦⬻⽾⮫#⛞ⷓ#⇍#Ⳃ㮖ᦂ#㦇ᆾ⮎#ኾ㬚#⮮ጪ 0#⌾♮ዏ⮫⢚#⽾㯓#㡷⛯ⴂ#⻏⢪⳺Ḛ#0
֜କন ȵଲন ȵ୨சశ
Koo, Yoo Seung*, Lee, Sung Ho**, Jung, Juchul***
Selecting and Assessing Vulnerable Zones of Snow Damage in Urban Areas
- the case of City of Busan
ABSTRACT
Recent huge losses of both life and property have occurred by unexpected natural disasters. We studied snow damages, an important natural disaster issue because it happens more frequently in recent years. This study tries to select vulnerable areas of snowfall in advance and then establish climate change adaptation policy for minimizing unexpected snowfall damage. Busan, where is our study area, has hilly in downtown areas so that topography characteristics of the roads such as slope, elevation and aspect are vulnerable to snowfall. The sudden snowfall in Busan causes traffic jam and causes some schools in hilly to close some schools. At this moment, the adaptation policy has to be established for infrastructure (such as roads) in advance, because prediction of anomaly climate due to global warming is so difficult beside the damage of natural disaster is huge. Therefore, the purpose of this study is contribute to selecting and assessing vulnerable zones of snow damage focusing topography characteristics of the roads and then evaluating the degree of risk of vulnerable zones.
Key words : Snow Damage, GIS Overlay Analysis, Risk Assessment
Ⅹಾ
↽ɝḡǍ۵ᯕᔢʑ⬥ෝᬱᯙᮝಽ⦽ᯱᩑᰍӽၽᔾᨱ᮹⧕Ğᱽᱢᗱᝅၰᯙ⦝⧕aኩჩ⦹íၽᔾ⦹Łᯩ݅. ᅙᩑǍ᮹༊ᱢᮡᯱᩑᰍӽ᮹
⦹ӹᯙᖅ⧕ᱢ᮲ᨱš⦽äᮝಽࠥಽa᭥⊹⦽ḡᩎ᮹ḡ⩶ᱢ✚ᖒᮥᵲᝍᮝಽᖅ⧕≉᧞ḡᩎᮥᖁᱶ⦹Łə᭥⨹ᱶࠥෝᱽ⦹۵äᯕ݅. ᩑǍ ḡᩎᯙᇡᔑŲᩎ᮹ĞᬑࠥᝍԕǍ෪ᖒᔑḡaฯᯕᇥ⡍⦹Łᯩᨕࠥಽ᮹Ğᔍaɪ⦹Łฯᮡᔑᅖࠥಽa⩶ᖒࡹᨕᯩᨕ⡎ᖅᨱ≉᧞⦽Ǎ᳑
ಽࡹᨕᯩ݅. ↽ɝᨱ۵⡎ᖅᯕ⧁ᙹᨧ۵ᱢᮡᱢᖅపᨱࠥࠥಽƱ☖ᯕษእࡹŁ⦺Ʊa⮕Ʊ⦹۵॒ⓑ⪝ᯕၽᔾ⦹ᩡ݅. ḡǍ᪉ӽ⪵ᨱ᮹
⦽ᯕᔢʑ⬥۵ᩩ⊂ᯕᨕಖŁə⦝⧕۵ๅᬑⓝᮝಽšಉᔍ⫭ʑၹᖅᨱݡ⦽ᱢ᮲ᱶ₦ᯕษಉࡹᨕ⦽݅. ᕽᅙᩑǍ۵ᩑǍḡᩎ᮹ࠥಽ a᭥⊹⦽ḡ⩶ᱢ✚ᖒॅᮥᵲᝍᮝಽᖅ⧕≉᧞ḡᩎᮥᖁᱶ⦹Ł⧪ᱶ࠺݉᭥᭥⨹ࠥ⠪aෝ☖⦽᭥⨹ᱶࠥෝӹ┡ԥᮝಽᖅ⧕ᱢ᮲ᱶ₦ᙹพ
ʑⅩᯱഭಽᕽ⪽ᬊࢁᙹᯩࠥಾ⦹ᩡ݅.
áᔪᨕ ᖅ⧕, GIS ᵲℊᇥᕾ, ᭥⨹ࠥᇥᕾ
İࣀėॡ
1. ᕽು
ḡǍ᪉ӽ⪵ෝəᬱᯙᮝಽ⦹Łᯩ۵ʑ⬥ᄡ⪵۵݉ᙽ᪉ࠥᔢ
ᐱอᦥܩ⧕ᙹ໕ᔢ, ┽⣮, ǎḡᱢḲᵲ⪙ᬑ, aྥ, ⪮ᙹəญŁ
⡎ᖅ॒݅᧲⦹í᳕ᰍ⦹໑, əᔍᔢॅ᮹vࠥ᪡ኩࠥaᱱ₉᷾a⦹
Łᯩ݅. ੱ⦽IPCC(Intergovernmental Panel on Climate Change :ʑ⬥ᄡ⪵ᨱš⦽ᱶᇡe⩲᮹ℕ)ᨱᕽ2007֥ࠥᨱၽe⦽ⷢᱽ4₉
ʑ⬥ᄡ⪵⠪aᅕŁᕽⷣᨱ໕᪉ᝅaᜅ႑⇽q⇶ŝzᮡיಆ ᮝಽʑ⬥ᄡ⪵⩥ᔢᮥ᪥⪵┅۵äอⓝᯕӹʑ⬥ᄡ⪵ᨱᱢ᮲⦹
۵äᯕᵲ⦹݅Łᨙɪ⦹Łᯩ݅. əᯕᮁ۵᪉ᝅaᜅ႑⇽ᱡq
יಆᯕ ᖒŖ⦹ᩍࠥ ᯕၙ ႑⇽ࡽ äᮝಽ ᯙ⧕ ʑ⬥ᄡ⪵۵ ĥᗮ
ၽᔾ⧁äᯕ໑ḡᗮᱢᮝಽ ʑ⬥ᄡ⪵ෝĞ⨹⧕⦽݅۵ᔍᝅᮥ
ั⧕ᵝŁᯩ݅. ᯕ్⦽šᱱᨱᕽʑ⬥ᄡ⪵ᱢ᮲(adaptation)ᮡʑ⬥
ᄡ⪵᪥⪵(mitigation)᪡⧉̹ʑ⬥ᄡ⪵ݡ᮲ᨱᯩᨕᕽ⦥ᙹᱢᯙ
ᗭ⧁äᯕ݅. ভྙᨱʑ⬥ᄡ⪵ಽᯙ⧕ၽᔾ⧁ᙹᯩ۵᭥ʑᔢ⫊
ᨱݡእ⦹ʑ᭥⧕ᕽ۵ḡᩎᄥʑ⬥ᄡ⪵ᱢ᮲ᩎపᮥv⪵⧕⦽݅.
✚⯩, ᔍ⫭ʑၹᖅᮡ ʑ⬥ᄡ⪵ᨱ ᱢ᮲⧁ ᙹ ᯩ۵ ࠥǍಽᕽ
əᱢ᮲ᩎపᮥv⪵⦹۵äᮡʑ⬥ᄡ⪵ᨱݡ᮲⦽ᳬᮡᱲɝႊჶᯕ
ࢁᙹᯩ݅. ᯙǍaḲᵲࡹᨕᯩ۵ࠥ۵ᔍ⫭ʑၹᖅ᮹ᩎ⧁ᯕ
ๅᬑᵲ⦹໑əʑ܆ᯕษእࢁĞᬑⓑ⪝ᮥⅩ௹⦹íࡽ݅.
ᩑǍḡᩎᯙᇡᔑŲᩎ۵ࠥᝍԕǍ෪ᖒᔑḡaฯᯕᇥ⡍⦹Ł
ᯩ۵ᯕᮁಽࠥಽ᮹ḡ⩶ᱢ✚ᖒᯕ⡎ᖅᨱ≉᧞⦽Ǎ᳑ಽ⩶ᖒࡹᨕ
ᯩ݅. ᝅᔍಡಽ2005֥3ᬵၽᔾ⦽⡎ᖅಽ٩ʙၙҥ్ḱᨱ᮹⦽
Ʊ☖ᔍŁa ᯨ ၽᔾ⦹ᩍ ᯝၹ ၝ, ǎᯙ šŲ~ əญŁ
ᗭႊݡᬱ॒6ᯕᇡᔢᮥݚ⦹ᩡ݅. 2010֥3ᬵ10ᯝᨱ۵⡎ᖅᯕ
⧁ᙹࠥᨧ۵᧞5cm᮹٩ভྙᨱŁḡݡෝᵲᝍᮝಽ⇽ɝʙ
݅. ᇡᔑ᪡Ğₑᮡ࠺Ǎᦩษᮥ, qŁ}, ྜྷอʼnษᮥ, ᕽݡᝁ
࠺Τษᮥ᯦Ǎ॒ԕŁḡݡ᪡ᔑᅖࠥಽ۵ྜྷುᇡᔑ⧎4ᇡࢱ
ᦿ᪶ᅖ8₉ᖁࠥෝእ⧕ԕ37Ŕᨱᕽ₉పᬕ⧪ᮥ☖ᱽ⧩݅.
2011֥2ᬵ14ᯝᇡᔑᗭႊᅙᇡᨱ໕٩ʙƱ☖ᔍŁ8Õᯕ
᪅ᱥ 6 30ᇥĞ Ḳᵲ ၽᔾ⦹ᩍ 9ᮥ ʕɪ ᯕᘂ⦹ᩡ݅. ੱ⦽
ḡӽ20֥࠺ᦩᇡᔑŲᩎ᮹ᱢᖅప⇵ᯕෝᔕ⠕ᅕ໕əኩࠥ᪡
᧲ᯕᱱ₉᷾a⦹Łᯩ݅. ᯕ۵ᇡᔑŲᩎaᯕᔢ⡎ᖅ᮹ᦩᱥḡ ݡaࢁᙹᨧᮭᮥ᮹ၙ⦹Ł࠺ᨱᖅ⧕⦝⧕ᱡq⪽࠺ၰᱢ᮲܆ಆ
⨆ᔢᮥ ᭥⦽ ݡ᮲ႊᦩ᮹ ⦥ᖒᯕ ݡࢱࡹŁ ᯩᮭᮥ ᮹ၙ⦽݅.
ᅙ ᩑǍ۵ ɚ⦽ʑ⬥ ᵲ ⡎ᖅᨱ ᮹⦽ ࠥ᮹ ᖅ⧕≉᧞ḡᩎᮥ
ᖁᱶ⦹ʑ᭥⧕ᔍ⫭ʑၹᖅᵲᵝ⦝⧕ᖅᯙࠥಽ, ✚⯩Łḡݡ ᨱ᭥⊹⦽ǎḡࠥಽၰᔑᅖࠥಽ᮹ḡ⩶ᱢ✚ᖒᮥᵲᝍᮝಽᩑǍෝ
ḥ⧪⦹ᩡ݅. Ʊ☖ᔍŁၽᔾኩࠥa׳ᮡḡᩎࠥಽ᮹ḡ⩶ᱢ✚ᖒᮥ
☖⧕ᩩᔢ᭥⨹ḡᩎᮥ⇵ᱶ⦹Łࠥ⇽ࡽḡᩎॅᮥݡᔢᮝಽ᭥⨹ࠥ
⠪aෝᝅ⦹ᩡ݅. ᖅ⧕≉᧞ḡᩎॅ᮹᭥⨹ࠥḡᙹᨱᬑᖁ
᳑⊹ࡹᨕ⧁᭥⨹ḡᩎᮥᱽᦩ⦹Łᔍ⫭ʑၹᖅᱢ᮲܆ಆv⪵
ᱶ₦ᙹพ ə ʑⅩᯱഭᕽ ⪽ᬊࡹʑෝ ʑݡ⦽݅.
2. ʑ᳕ᩑǍŁₑၰႊჶು
2.1 ׆֜ճఝ
ʑ⬥ᄡ⪵ᨱݡ⦽ᔍ⫭ʑၹᖅ᮹ᱢ᮲ᩎపv⪵ᨱš⦽ʑ᳕ᩑ Ǎॅಽ۵ʑ⬥ᄡ⪵ᱢ᮲ݡ₦ᙹพᮥ᭥⦽aᯕऽᯙ}ၽᨱš⦽
ᩑǍ(ǎพ⪹Ğŝ⦺ᬱ,2008)aḥ⧪ࡽၵᯩᮝ໑, ʑ⬥ᄡ⪵ᨱ
ᝍ⪵ࢁäᮝಽᩩᔢࡹ۵ᵝᔍᔢ(events)ᄥᔍ⫭ʑၹᖅ᮹≉᧞
əญŁ ᬑญӹ᮹ ḡᩎᄥ ʑ⬥ᄡ⪵ ≉᧞ᖒᮥ ⠪a⧁ ᙹ ᯩ۵
ḡ⢽}ၽŝə⪽ᬊႊᦩᨱݡ⦽ᩑǍ(ᮁaᩢŝʡᯙᧁ, 2008) ॒ᯕ
ᯩ݅. ੱ⦽⪮ᙹᰍ⧕ෝᵲᝍᮝಽ✚ᱶḡᩎ(ᕽᬙ)᮹ḡᩎᦩᱥࠥෝ
⠪a⦽ᩑǍ(ᯕᕾၝ, 2006)aᯩᮝ໑, ᯕᔢʑ⬥ᨱݡእ⦹ᩍGIS ʑၹ᮹ᖁ┾ᱢ⪮ᙹႊᨕෝ᭥⦽᮹ᔍđᱶᜅ▽ }ၽᮥḥ⧪⦽
ᩑǍ(ʡᄲ, ᰆݡᬱ, 2009) ॒ᯕ ḥ⧪ࡽ ၵ ᯩ݅.
ᅙ ᩑǍ᮹ ᵝšᝍ ʑ⬥ᔍᔢᯙ ⡎ᖅᨱ ݡ⦽ ʑ᳕ ᩑǍॅᮡ
ᕾÕŝᯕ᳦ᬱ, 2005; ʡḥᩢ, 2001) ॒ᯕᯩᮝ໑, ⡎ᖅᨱݡእ⦹ʑ
᭥⦹ᩍŲᩎࠥಽ᮹ᱽᖅℕᱽǍ⇶ႊᦩၰᱽᖅ}ᖁႊ⨆ᮥ(ᝍʑ᪅, 2003) ᱽᨙ⦹ʑࠥ⦹ᩡ݅. ǎพႊᰍᩑǍᗭ(2003)۵ᱽᖅႊჶ᮹
ີە᯲ᖒ, ᱽᖅᱽᖁᱶၰᔍᬊႊჶ, ᱽᖅᰆእǍእ, Ʊ☖☖ᱽʑ ᵡᱶพəญŁࠥᔢ༉᮹⬩ಉၰᱽᖅℕᱽǍ⇶ᨱݡ⦹ᩍᱽ⦹ᩡ
݅. ᯕᔢ᮹ ᩑǍॅᮡ ᵝಽ ʑ⬥ᄡ⪵ᨱ ݡ⦹ᩍ ᱥǎᮥ ݡᔢᮝಽ
⦽ᔍ⫭ʑၹᖅᱥၹᨱÙ⊽≉᧞ᖒ⠪aੱ۵ᱢ᮲ݡ₦ᙹพᮥ
᭥⦽aᯕऽᯙၰ≉᧞ᖒḡ⢽}ၽᮥᝅ⦹ᩡ݅. ᯕ۵✚ᱶ
ḡᩎᮥݡᔢᮝಽᇥᕾ⦹ᩡ݅⦹ࠥʑ⬥ᄡ⪵}ᄥᔍᔢᨱݡ⦹
ᩍ✚ᱶᔍ⫭ʑၹᖅ᮹≉᧞ᖒᇥᕾᮥ⦽ᔍಡ۵ᦥḢʭḡḥ⧪ࡽ
ᱢ᮲᮹ }ֱᅕ݅۵ ᔍ⬥ญᨱ aʭᬕ ᩑǍॅᯕ ݡ݅ᙹᯕ݅.
2.2 ডැ౫ઊલট୨
ᖅ⧕≉᧞ḡᩎ ᖁᱶᮥ ᭥⧕ ᝅᱽ ၽᔾ⦽ ᖅ⧕ ᔍಡෝ ᳑ᔍ⦽
đŝŁḡݡᨱ᭥⊹⦽ǎḡࠥಽ(ᯕ໕ࠥಽ) ੱ۵ᔑᅖࠥಽᨱᕽᵝಽ
ၽᔾ⦹ᩡ݅. ੱ⦽ࠥಽ᮹י໕đኺᨱ᮹⦽ၙҥ్ḱᨱ᮹⦽Ʊ☖ᔍ Ł᪡Ӻᔢᯕݡᇡᇥᯕᨩ݅. ᇡᔑŲᩎ۵ࠥᝍᨱ᭥⊹⦽Ǎ෪ᖒ
ᔑḡॅಽᯙ⧕ ┡ ࠥ᪡እƱ⦹ᩍ ࠥಽ᮹ ĞᔍaⓍŁ Łḡݡ
ᔑᅖࠥಽa⩶ᖒࡹᨕᯩᮝ໑ᯝ᳑పᯕᱢᮡᮭḡᨱࠥฯᮡࠥಽa
᭥⊹⦹Ł ᯩ۵ äᯕ ✚Ḷᯕ݅. ᕽ ᖅ⧕ ၽᔾḡᩎᨱ ᭥⊹⦽
ࠥಽ᮹ḡ⩶ᱢ✚ᖒॅᯙĞᔍࠥ, ⨆, ⢽Ł॒ᮥGIS ᵲℊᇥᕾᮥ
☖⦹ᩍ ᩩᔢ᭥⨹ḡᩎᮥ ᬑᖁ ᖁᱶ⦹ᩡ݅.
Fig. 1. Spacial analysis of the roads(slope) ᵲℊ(overlay)᮹}ֱᮡ⦹ӹ᮹⍅ქญḡ᭥ᨱ݅ෙ⍅ქญḡෝ
ಅ״Ł ࢱ ⍅ქญḡᨱ ӹ┡ӽ ⩶ᔢॅ e᮹ šĥෝ ᇥᕾ⦹۵
äᯕ݅. ᵲℊ᮹ʑ܆ᮡⓍíᖙaḡಽӹ٥ᨕᅝᙹᯩ݅. ℌṙ, ᵲℊᮥ☖⧕⩶ᔢॅe᮹Ŗešĥෝ❭ᦦ⧁ᙹᯩ݅. ࢹṙ, ݅᧲⦽
ߑᯕ░ᄁᯕᜅಽᇡ░ᇥᕾᱢᯙᱶᅕෝ⇵⇽⧁ᙹᯩ݅. ᖬṙ, ᔩಽᬕ
aᖅᯕӹᯕುၰဍ౩ᯕᖹᮥ☖⧕อᯝᨕਅᔍÕᯕᯝᨕӽ݅໕
əđŝaᨕਜíࢁäᯙaᨱݡ⦽ᱶᅕෝ⇵⇽⦹۵༉ߙย᯲ᨦᮥ
ᙹ⧪⧁ᙹᯩ݅. ᅙᩑǍᨱᕽ۵ᵲℊ᮹ʑ܆ᵲᖙჩṙʑ܆ᮥ
⪽ᬊ⦽ äᮝಽ ⡎ᖅᨱ ≉᧞⦹Ł ๅᬑ ၝq⦽ ḡᩎᮥ ᖁᱶ⦹ʑ
᭥⦽ၝqࠥ༉ߙยᮥᖅᱶ⦹Łᵲℊʑ܆ᮥ⪽ᬊ⦹ᩍᇥᕾ⦽݅.
2.3 ౫ઊલܑඌԧ
ᖅ⧕≉᧞ḡᩎᨱݡ⦽᭥⨹ࠥ⠪aෝ᭥⧕᭥⨹ᯙᮥݡᄡ⦹۵
⠪aᯙᯱෝᖁᱶ⦹Łᯙᯱᄥ✚ᖒᨱ(⾆, ⾈) ʑ⪙ෝᇡᩍ⦽݅.
ᯕ۵ḡᩎᦩᱥࠥ}ֱ᮹᭥⨹ᖒḡᙹෝᄡᬊ⦽äᮝಽ⠪aᯙᯱॅ
᮹᭥⨹ࠥ᪡ᱡqᖒᮥӹ┡ԙ݅. ḡᩎᦩᱥࠥ}ֱᮡǎԕᗭႊႊᰍ ℎ(2005), ᯱᩑᰍ⧕ݡ₦ჶ॒ᨱᕽ ᯕᬊࡹŁ ᯩᮝ໑, ᯕ⯍ (2006)۵ᦩᱥࠥ᪡᭥⨹ࠥ۵ᕽಽᩑšࡹᨕᯩᮝ໑, ᭥⨹ࠥa׳ᮝ ໕ᦩᱥࠥaԏᦥḡŁ, ᭥⨹ࠥaԏᮝ໕ᦩᱥࠥa׳ᦥḱᮝಽḡᩎ ᦩᱥࠥ⠪aෝ᭥⧕ḡᩎ᭥⨹ࠥ⠪aaᯕᬊࢁᙹᯩ݅Ł⦹ᩡ݅.
ੱ⦽ḡᩎᦩᱥࠥ⠪a᭥⨹ ⧎༊ᄥᯙॅᮥ᳑⧊⦽᭥⨹ࠥᨱ
ᱡqᖒᮥ Łಅ⦽ äᯕŁ ᱶ᮹⦹ᩡ݅.
⠪aᯙᯱᄥaᵲ⊹ᔑᱶᮡĥ⊖ᇥᕾʑჶ(AHP)ᮥᔍᬊ⦹ᩡ݅.
AHP۵݅ᙹݡᦩᨱݡ⦽݅໕ᱢ⠪aʑᵡᮥ☖⦽᮹ᔍđᱶḡᬱ
ႊჶ᮹⦹ӹಽ, Thomas L. SaatyƱᙹa1980֥ᨱၽ⢽⦽םྙ
“The Analytic Hierarchy Process”ᨱᕽᮭᱽࡹᨩ݅. ᯕʑჶ
ᮡᖙĥbǎ᮹ᱶᇡʑšŝʑᨦᨱᕽᮁᬊ⦹í⪽ᬊࡹŁᯩᮝ໑, bݡᦩ᮹ᵲࠥෝᔑ⇽⦹۵ႊჶᮝಽᕽə⊂ᱶࠥa݅᧲⦽
݅ʑᵡ(Multiple-criteria)᮹᮹ᔍđᱶྙᱽෝĥ⊖⪵⦹ᩍ⧕đ⦹
۵ߑᱢ⧊⦹݅. ᅙᩑǍᨱᕽ۵⠪aᯙᯱᄥaᵲ⊹ෝᔑᱶ⦹ʑ᭥⦽
ᙹ݉ᮝಽ ᔍᬊࡹᨩ݅.
3. ᖅ⧕᭥⨹ḡᩎ: ǎḡࠥಽ᮹ḡ⩶ᱢ✚ᖒᨱݡ⦽ᵲℊᇥᕾ
ᩑǍḡᩎᯙ ᇡᔑŲᩎ۵ Łࠥ 500m ԕ᮹ Ǎ෪ᖒ ᔑḡa
ࠦพᱢᮝಽᇥ⡍⦹Łᩍʑᕽጸᨕӹ᪉ᔑbᮡ᪥อ⦽Ğᔍಽᕽ
⧕ᦩᨱ༑᯦⦹Łᯩ۵ḡ⩶ᱢ✚ᖒᮥaḡŁᯩ݅. ভྙᨱࠥᝍ
ᗮᵝ┾ၰ⦺ƱəญŁࠥಽ॒ᯕᯱᩑᱢᮝಽĞᔍḡ᭥ᨱ᭥⊹⦹í
ࡹᨩŁᯕ۵ʑ⬥ᄡ⪵ᨱ᮹⧕ᝍ⪵ࡹŁᯩ۵ᯕᔢʑ⬥ॅᵲ⪚⦽ŝ
⡎ᖅಽ ᯙ⦽ ᖅ⧕ᨱ ≉᧞⧁ ᙹၷᨱ ᨧ݅.
3.1 լॷܑंজ
࠺ᱩʑ᮹ԏᮡʑ᪉ᨱ⡎ᖅᯕၽᔾ⦽݅໕ᬑญ۵ᬑᖁᱢᮝಽ
ࠥಽđኺ᭥⨹ᨱݡ⦹ᩍᬑಅ⧁äᯕ݅. ᬒᯕי໕ᯕᨕᯩ۵
ᔢ┽ᨱĞᔍࠥaⓍ݅໕ə᭥⨹ᖒᮡ႑aࢁäᯕ݅. ⦹ḡอࠥಽ᮹
י໕đኺŝ‘Ğᔍࠥ’᪡᮹ᔢššĥᨱš⦽ᩑǍ۵ᦥᛞíࠥᦥ
ᅝᙹᨧᨩ݅. ভྙᨱ“ࠥಽ᮹ᝁᖅੱ۵}ప⦹Ñӹᯱ࠺₉ᱥᬊࠥ
ಽෝḡᱶ⦹۵Ğᬑəࠥಽ᮹Ǎ᳑ၰᖅᨱᱢᬊࡹ۵↽ᗭ⦽᮹
š⦽Ƚ⊺ⷣ᮹᳦݉Ğᔍእᮉᮥᖅ⧕᭥⨹ḡᩎᖁᱶᨱᯩᨕ
Ğᔍࠥ᭥⨹ʑᵡᮝಽᱢᬊ⦹ᩡ݅. Łḡݡ᮹ǎḡࠥಽ᪡ᔑᅖࠥಽ ǎḡࠥಽ(ᔑḡ)᮹Ğᬑᖅĥᗮࠥ60(km/H), ↽ݡ᳦݉Ğᔍෝ14%
ᱽ⦽⦹Ł ᯩ݅.
Ğᔍࠥᇥᕾᗭ⩶₉ࠥ᮹ǎḡࠥಽ(ᔑḡ)ෝʑᵡᮝಽ⦽᳦݉
Ğᔍእᮉ14%ෝ᭥⨹ʑᵡᮝಽᔍᬊ⦹ᩡ݅. əᯕᮁ۵ᇡᔑŲᩎ
᮹ࠥᝍᇡᨱ᭥⊹⦽Ǎ෪ᖒᔑḡಽᩑđࡹ۵ݡᇡᇥ᮹ࠥಽॅᮡ
ǎḡࠥಽಽᩑđࡹᨕᯩŁᝅᱽ⡎ᖅಽᯙ⦽ᖅ⧕ၽᔾ⦝⧕ḡᩎᯕ
Łḡݡᨱ ᭥⊹⦽ ǎḡࠥಽ ၰ ᔑᅖࠥಽᯕʑ ভྙᯕ݅.
Fig. 1ᮡ᳦݉Ğᔍ14%ෝʑᵡᮝಽᩑǍḡᩎ᮹ࠥಽa᭥⊹⦽
໕(Raster Data)ᮥ Reclassify(14%Ⅹŝ:1, 14%ᯕ⦹:0)⦹Ł, Raster Calculator᮹“*” Œ⦹ʑᩑᔑᯱෝᔍᬊ⦹ᩍᇡᔑŲᩎ
ࠥಽᱥℕ᮹௹ᜅ░ߑᯕ░᪡ᇥᕾ⦽đŝᯕ݅. əฝ1ᨱᕽዉeᔪ ᮝಽ⢽⩥ࡽᇡᇥᯕࠥಽa᭥⊹⦽ḡᩎ᮹⠪ɁĞᔍࠥa14%ෝ
Ⅹŝ⦽ ᇡᇥᯕ໑, ə ᇥ⡍ෝ ᔕ⠕ᅕ໕ ᇡᔑ᮹ ࠥᝍᨱ ᔑᰍ⦹Ł
ᯩ۵Ǎ෪ᖒᔑḡᵝᄡᮥᵲᝍᮝಽᇥ⡍⦹Łᯩᮭᮥ⪶ᯙ⧁ᙹ
ᯩ݅.
3.2 ේࢫඝճंজ
י໕ᯕđኺࡹ۵⩥ᔢᨱᩢ⨆ᮥၙ⊹۵ᗭॅಽ۵᪉ࠥ, ࠥ,
Fig. 3. overlay analysis of the roads(slope, aspect, elevation) Fig. 2. spacial analysis of the roads(aspect, elevation)
ၵ௭, ԁᦉəญŁࠥಽ᮹ᰍḩ॒ᯕᨱࠥฯᮡᄡᙹॅᯕᝅᰍ⦹Ł
ᯩ݅. ᖅ⧕≉᧞ḡᩎᮥᖁᱶ⧉ᨱᯩᨕəᗭॅŝၡᱲ⦽šಉᯕ
ᯩ۵‘⨆’ŝ‘⢽Ł’ෝᇥᕾ⦽đŝFig. 2᪡zᮡđŝෝᨩ݅.
ࠥಽa᭥⊹⦽ ḡ⩶ŝ ႊ⨆ᨱ ᮭḡ᮹ ⪹Ğᯕ⩶ᖒࡹ໑, ᯕ۵ᯝ᳑ᨱ᮹⧕ᩕᨱթḡෝ۵ᗮࠥᅕ݅ݡʑᵲᮝಽᩕᨱթḡ
ෝዝᦸʑ۵ᗮࠥaʑভྙᨱ٩ᯕ᪵ᮥভי໕đኺᯕၽᔾ⧁
⪶ශᯕ ׳ᮡ äᯕ ᔍᝅᯕ݅. ᩑǍḡᩎ᮹ ࠥಽ᮹ ⨆ᮥ ᇥᕾ⦹ʑ
᭥⧕ᕽ Ğᔍࠥ᪡ ษ₍aḡಽ Reclassify᪡ Raster calculatorෝ
ᯕᬊ⦹ᩡ݅. ⨆᮹᭥⨹ʑᵡᮝಽ۵ᔍႊ᭥ᵲᇢ⨆ŝəӹນḡෝ
ᱽ⦹۵ႊჶᮝಽᇥᕾ⦹ᩡ݅. Fig. 2(᳭)ᨱᕽࠥಽ᮹⨆ᇥᕾđŝ
ෝᔕ⠕ᅕ໕, Ğᔍࠥ᪡ษ₍aḡಽǍ෪ᖒᔑḡෝᵲᝍᮝಽࠥಽ᮹
׳ᯕaɪĊ⯩ᄡ⪵⦹Ł⨆ᨱෙᮭḡa⩶ᖒࡹᨕᯩᮭᮥ⪶ᯙ
⧁ ᙹ ᯩ݅.
⢽Ł᮹Ğᬑ, ࠥಽ᮹׳ᯕᄡ⪵ᨱ᪉ࠥaݍḡ۵ߑ, ʑ᪉ qශ(air temperature lapse rate)ᮡ ݡʑǭ ԕᨱᕽ ḡǍಽᇡ░
ມᨕḩᙹಾʑ᪉ᯕਉᨕḡ۵እᮉᮥั⦹໑ݡඹǭᦩᨱᕽ۵⠪Ɂ
100mݚ0.50.6ⳃԏᦥḥ݅. ⦽⠙, ḡ⩶ᯕ׳ᮡŔᨱ᳕ᰍ⦽݅Ł
⧕ᕽΎי໕đኺᯕၽᔾ⦹۵äᮡᦥܩ݅. ࠺ᱩʑᨱḡ⩶ᯕԏᮡ
ᰆᗭᨱᕽ۵Ԫʑ᪉ࠥaᱶℕࢉᮝಽđኺᯕíᯝᨕԁᙹࠥ
ᯩ݅. ⦹ᩍ࠺ᱩʑ⪚⦽ੱ۵⡎ᖅၽᔾࠥಽ᮹⢽Łᨱ
᭥⨹ʑᵡᮥᔑᱶ⦹۵äᮡྕญaෙ݅. ⦹ḡอᇡᔑŲᩎ᮹
ḡ⩶ᱢ ✚ᖒᮝಽᕽ ⢽Łෝ ᔕ⠕ᅕ໕ 100m ၙอ᮹ Ǎᖒእa
43.9%, 100ⴇ200m ᔍᯕ᮹Ǎᖒእa16.2%, əญŁ200m Ⅹŝ᮹
Ǎᖒእa39.9%ෝ₉ḡ⦹Łᯩ݅. GISෝ⪽ᬊ⦹ᩍ⪶ᯙ⦽đŝ,
ࠥᝍ᮹ᵝeᖁࠥಽᨱᕽbḡᩎ᮹ᩑđࡹ۵ᅕ᳑eᖁࠥಽၰǎḡ
ࠥಽa᭥⊹⦽⢽Ł۵100ⴇ200m ᔍᯕᨱݡᇡᇥ⡍⧉ࡹ۵äᮝಽ
⪶ᯙ⦹ᩡ݅. ࠺ᱩʑ ⪚⦽ ၰ ⡎ᖅಽ ᯙ⦽ ᖅ⧕᭥⨹ḡᩎ ᇥᕾᮥ
᭥⦹ᩍᅙᩑǍᨱᕽ۵ ⢽Ł᮹᭥⨹ʑᵡᮝಽǎḡࠥಽෝݡᇡᇥ
⡍⧉⦹Ł ᯩ۵ ⢽Łჵ᭥(100ⴇ200m)ෝ ə ʑᵡᮝಽ ᖅᱶ⦹ᩍ
ᇥᕾ⦹ᩡ݅. Fig. 2(ᬑ).
3.3 ডැ౫ઊલট୨
ᦿᕽ ࠥಽa ᭥⊹⦽ ḡᩎ᮹ ḡ⩶ᱢ ✚ᖒॅ Ğᔍ, ⨆ əญŁ
⢽Łᨱݡ⦹ᩍᖅ⧕᭥⨹ʑᵡᮥᖅᱶ⦹ŁGIS᮹Spatial analyst
⚕ᮥᯕᬊ⦹ᩍᇥᕾ⦹ᩡ݅. Fig. 3ᮡᦿᕽḡ⩶ᱢ✚ᖒ(Ğᔍ, ⨆,
⢽Ł)ॅ᮹ᇥᕾđŝsᮥ᯦ಆߑᯕ░ಽ⦹ᩍᵲℊᇥᕾᮥḥ⧪⦽
đŝᯕ݅.
ᵲℊᇥᕾđŝᖅ⧕᭥⨹ḡᩎᮝಽᖁᱶࡽŔᮡⅾ41}ḡᩎᯕ໑, ᵝಽ Ǎ෪ᖒ ᔑḡ ᵝᄡᮥ ᵲᝍᮝಽ ᇥ⡍⦹Ł ᯩᮭ ⪶ᯙ ⧁ ᙹ
ᯩ݅. ੱ⦽ᖁᱶࡽḡᩎॅ᮹☁ḡᯕᬊ⩥⫊ᮥᯙ░֘ḡࠥᔍᯕ✙
(օᯕქḡࠥ)ෝᯕᬊ⦹ᩍ᳑ᔍ⦽đŝݡᇡᇥᯕᵝ┾ŝᦥ❭✙
׳ᮡḡᩎᯥᮥ᮹ၙ⦽݅. Table 1(ᇡಾₙ᳑)۵ᖅ⧕᭥⨹ḡᩎᮝಽ
ᖁᱶࡽ 41} ḡᩎ᮹ ᭥⊹᪡ ⦺Ʊॅᮥ ᱶญ⦽ äᯕ݅.
ᖁᱶࡽ᭥⨹ḡᩎॅᮡݡᇡᇥǍ෪ᖒᔑḡᨱ᭥⊹⦽100m ᯕᔢ ᮹Łḡݡಽ࠺ᱩʑ⡎ᖅᯕၽᔾ⧁ĞᬑḢᰆᯙŝ⦺ᔾॅ᮹ᯕ࠺ᨱ
ᰁᰍᱢ᭥⨹ᮥaḡŁᯩᮭᯕᇥ⦹݅. ᩑǍḡᩎᯙᇡᔑŲᩎ۵
ḡ⩶ᱢ ✚ᖒᮝಽ ᯙ⧕ ᵝ┾ḡᩎ ၰ ⦺Ʊa ᯱᩑᱢᮝಽ Ğᔍḡ
᭥ᨱ᭥⊹⦹íࡹᨩŁ, ᯕ۵ʑ⬥ᄡ⪵ᨱෙᯕᔢʑ⬥, ᷪ⡎ᖅಽ
ᯙ⦽ ᖅ⧕ᨱ ≉᧞⧁ ᙹၷᨱ ᨧ݅.
4. ≉᧞ḡᩎᄥ᭥⨹ࠥ⠪a
ᦿᕽŁḡݡᨱ᭥⊹⦽ࠥಽḡᩎ᮹ḡ⩶ᱢ✚ᖒॅᮥᵲℊᇥᕾ
⦹ᩍ ᖅ⧕ᨱ ≉᧞⧁ äᮝಽ ᩩᔢࡹ۵ ḡᩎॅᮥ ᖁᱶ⦹ᩡ݅. ᅙ
ᰆᨱᕽ۵ᖁᱶࡽḡᩎॅᯕᗮ⧕ᯩ۵⧪ᱶǍᩎ(࠺݉᭥)ᄥಽ᭥⨹ࠥ
⠪aෝᝅ⦹Łəᱶࠥᨱᖅ⧕ݡእᬑᖁᱢᮝಽ᳑⊹ࡹᨕ
⧁ ḡᩎॅᮥ ᱽ⦹Łᯱ ⦽݅.
Table 1. The results of the overlay analysis
No. gu dong facilities inducing population concentration(School-based) 1 Buk-gu Mandeok 1-dong Elementary school(3 places), Middle school(1 places), High school(1 place) 2 Buk-gu Mandeok 3-dong Elementary school(2 places), Middle school(1 places)
3 Buk-gu Deokcheon 3-dong Elementary school(1 places)
4 Buk-gu Gupo 1-dong Elementary school(1 places), Middle school(1 places), High school(1 places), University(1 places)
5 Yeonje-gu Geoje 2-dong Elementary school(1 places), Middle school(1 places)
6 Dongnae-gu Sajik 2-dong Elementary school(2 places), Middle school(1 places), High school(3 places) 7 Dongnae-gu Oncheon 3-dong Elementary school(3 places), Middle school(2 places)
8 Geumjeong-gu Bugok 4-dong Middle school(1 places), High school(1 place)
9 Geumjeong-gu Bugok 3-dong Elementary school(2 places), Middle school(2 places), High school(3 places) 10 Geumjeong-gu Geumsa-dong Elementary school(1 places), Middle school(1 places)
11 Haeundae-gu Bansong 2-dong Elementary school(2 places), Middle school(2 places)
12 Haeundae-gu Jwa 2-dong Elementary school(3 places), Middle school(2 places), High school(1 places) 13 Haeundae-gu Jwa 3-dong Elementary school(2 places), Middle school(2 places), High school(1 places) 14 Suyeong-gu Millak-dong Elementary school(2 places)
15 Yeonje-gu Yeonsan 8-dong Elementary school(3 places), Middle school(1 places), High school(2 places), University(1 places)
16 Jin-gu Yangjeong 2-dong Elementary school(2 places), Middle school(1 places), High school(2 places), University(2 places)
17 Yeonje-gu Yeonsan 3-dong Elementary school(1 places)
18 Jin-gu Gaya 3-dong Elementary school(2 places), Middle school(1 places), High school(1 places), University(1 places)
19 Sasang-gu Jurye 3-dong Elementary school(1 places), Middle school(2 places), University(2 places) 20 Sasang-gu Hakjang-dong Elementary school(2 places), Middle School(1 places), High School(1 places) 21 Sasang-gu Eomgung-dong Elementary school(3 places), Middle school(1 places)
22 Saha-gu Goejeong 4-dong Elementary school(1 places), Middle school(1 places) 23 Saha-gu Dadae 2-dong Elementary school(2 places), Middle school(2 places) 24 Saha-gu Jangnim 2-dong Elementary school(2 places), Middle school(1 places)
25 Saha-gu Dadae 1-dong Elementary school(4 places), Middle school(2 places), High school(1 places) 26 Saha-gu Jangnim 1-dong Elementary school(1 places), High school(1 places)
27 Seo-gu Nambumin 2-dong Middle school(1 places)
28 Saha-gu Gamcheon 1-dong Elementary school(3 places), Middle school(3 places), High school(3 places) 29 Seo-gu Nambumin 1-dong Elementary school(1 places)
30 Seo-gu Ami-dong Middle school(1 places)
31 Seo-gu Seodaesin 3-dong Elementary school(1 places) High school(2 places)
32 Dong-gu Choryang 2-dong
33 Yeongdo-gu Dongsam 1-dong Elementary school(4 places), Middle school(4 places), High school(3 places), University(1 places)
34 Yeongdo-gu Cheonghak 2-dong Elementary school(1 places) 35 Yeongdo-gu Bongnae 2-dong Elementary school(1 places)
36 Yeongdo-gu Dongsam 2-dong Elementary school(1 places), High school(1 places)
37 Nam-gu Yongdang-dong Elementary school(1 places), Middle school(1 places), High school(1 places), University(1 places)
38 Nam-gu Munhyeon 3-dong High school(1 places)
39 Jin-gu Danggam 4-dong Elementary school(2 places), High School(1 places)
40 Sasang-gu Gwaebeop-dong Elementary school(2 places), Middle school(1 places), University(1 places) 41 Sasang-gu Jurye 2-dong Elementary school(2 places), Middle school(1 places), High School(1 places),
University(2 places)
Table 2. Factors affecting snowfall
factors description of factors
natural Different degree of risk, depending on topogra- phical characteristics of roads located
past damage Existing snow damage the affected areas are more likely recurrence
social
Densely populated areas have potential to cause the damage such as paralyzed traffic and car accidents.
Snow damage is expected to be greater in the area where is located the facility causing floating population
facilities
Degree of risk is different depending on the type of road and degree of aging
Amount of snow removal material stocked, location and retaining equipments is important
administration
Snow damage can be reduced through regional mitigation efforts, preparedness and recovery measures.
1) Pusan Disaster and Safety Countermeasures Headquarters. (2005, 2010). “Natural Disaster Relief in Winter”
2) Seoul Development Institute, 2006. “Development of the Regional Safety Assesment Model in Seoul.”
Table 3. Assessment factors of vulnerable areas
factors description
natural
slope average slope(%) aspect average of north facet(%) elevation average elevation(m) social pop. density people/km2
facilities the number of person
adaptation
snowbox for
removal the number of snowbox(EA) gov. employees the number of gov. employees
Table 4. Description of assessment factors
factors description of data collection slope Calculate average slope (GIS, Spatial analysis) aspect Calculate the ratio of eh northbound
(GIS, Spatial analysis) elevation Calculate the average elevation
(GIS, Spatial analysis)
pop. density Refer to “2009 Statistical Yearbook”
facilities examine the total number of students in each schools snowbox Refer to “2010 Busan the winter natural disasters
comprehensive measures”
gov. employees Investigate the number of civil servants by 213 administration dong, Busan
4.1 ඌԧୀট୨ࢫୀ߹ு
4.1.1 ডැ૬
ᖁᱶࡽᖅ⧕≉᧞ḡᩎᄥ᭥⨹ࠥ⠪aෝ⦹ʑ᭥⧕ᕽ۵⡎ᖅၽᔾ
ᖅ⧕ᨱᩢ⨆ᮥၙ⊹۵ᯙॅᮥᖁᱶ⦹Ł, ᯕॅᮥݡ⢽⧁ᙹ
ᯩ۵ᯙᯱෝࠥ⇽⦹ᩍ⦽݅. Table 2ᮡᇡᔑŲᩎ᮹⡎ᖅ⦝⧕ᔍ ಡ᳑ᔍđŝ᪡šಉྙ⨭ᮥ☁ݡಽ᭥⨹ᯙॅᮥⓍí᭥⨹ᖒ(⾆) ŝ ᱡqᖒ(⾈)ᮝಽ Ǎᇥ⦹Ł ᰍᱶญ⦽ äᯕ݅.
ᖅ⧕≉᧞ḡᩎ᮹᭥⨹ࠥෝ⠪a⦹ʑ᭥⦽ᯙᄥᯙᯱ۵ᖅ⧕⦝
⧕ᔍಡ᳑ᔍᯱഭෝ☁ݡಽᯙᯱᖁᱶᬱ⊺ŝᯱഭ᮹Ǎाᬊᯕᖒᮥ
á☁⦹ᩍ, Table 3᪡zᯕᖁᱶ⦹ᩡ݅. Table 2᮹ᖅᱢᯙᨱᕽ
ࠥಽ᮹⩶┽ၰי⬥⪵ᱶࠥᨱݡ⦽ߑᯕ░۵ᯱഭ᮹Ǎाᯕᨕಅᬭ
ᱽ⦹ᩡŁ, ⧪ᱶᱢᯙᯙᮡᇡᔑŲᩎa2005֥ࠥ⡎ᖅᯕ⬥
ℎ᮹ᵝࠥಽbǍᄥಽᖅ⧕ݡ₦ษಉᯕḥ⧪ࡹᨩᮝӹᦥḢʭḡ
əᙹᵡᯕၙእ⦹ᩍᅙᩑǍᨱᕽ۵⧕ݚ࠺᮹Ŗྕᬱᙹෝᱢ᮲
ᯙ᮹ ⦹ӹಽ ݡℕ⦹ᩡ݅.
4.1.2 ୀ߹ு
᭥⨹ࠥ⠪a᮹ Ŗeᱢ ݉᭥۵ ᦿᕽ ᖁᱶ⦽ ᖅ⧕≉᧞ḡᩎॅᯕ
⡍⧉ࡹᨕᯩ۵ḡᩎ᮹࠺Ğĥෝʑᵡᮝಽ⠪a⦽݅. ᖁᱶࡽḡᩎॅ
ᮡࠥಽa᭥⊹⦽໕᮹ᯱᩑᱢ✚ᖒ(Ğᔍࠥ, ⨆, ⢽Ł)ᨱ᮹⦽ᇥᕾᯕ ᨩ݅໕, ᅙᰆᨱᕽ۵ᯱᩑᱢᯙᐱอᦥܩᔍ⫭ᱢᯙəญŁ
ᱢ᮲ ᯙ ॒ᮥ ᭥⨹ࠥ⠪aᨱ ၹᩢ⦹ᩍ ⠪a⦹ᩡ݅. ᕽ ᅙ
ᩑǍ۵ᖁᱶࡽᖅ⧕≉᧞ḡᩎॅᯕ᭥⊹⦽࠺(⧪ᱶ࠺)ᮥŖe݉᭥ಽ
᭥⨹ࠥෝ⠪a⦹Ł᭥⨹ᱶࠥᨱᬑᖁᱢᮝಽ ᳑⊹ࡹᨕ⧁
ḡᩎॅᮥᱽ⦽݅. Table 4۵⠪aᯙᯱᄥᯱഭᙹḲႊჶᮥᱶญ⦽
äᯕ݅.
4.1.3 ඝஜฃ
b ⠪aᯙᯱॅᮡ ə ݉᭥ӹ ᵲࠥa ݅ʑ ভྙᨱ ݉ᙽ⯩
⧊ᔑ⦹ᩍእƱ⧁ᙹᨧ݅. ᕽᯙᯱsॅ᮹Ⓧʑ᪡݉᭥ᨱෙ
⠙₉ྙᱽෝ⧕ᗭ⦹ʑ᭥⧕ᕽ۵⢽ᵡ⪵ŝᱶᯕ⦥⦹݅. ᅙᩑǍᨱ ᕽ۵ߑᯕ░᮹⢽ᵡ⪵ෝ᭥⧕⠙₉⊹(T score)ෝᔍᬊ⦹ᩡ݅. ⠙₉
⊹(イ㏘)۵⢽ᵡs(Z-score)ᨱᕽ⪹ᔑࡽsᮝಽəԕᬊᮡᦥ௹
ᙹ (1)ŝ z݅.
Ƈ áćň
Î×ÞƖƇ àłß
â Ò× (1)
ᩍʑᕽ,
łá ć§ÎƇ á Îā§ ƖƇ , ňáöćć§ÎƇ á Îā§ ÞƖƇà łßÏ ᯕ݅.
(ī:༉Ḳ݉᮹Ⓧʑ,ŌƇ:}}ᯙ᮹s,ł:༉⠪Ɂ,ň:༉⢽ᵡ⠙₉)
Table 5. Standardization
Id. dong
natural factor social factor adaptation factor
slope aspect elevation pop. density facilities snowbox gov.employees
Z T Z T Z T Z T Z T Z T Z T
1 Mandeok 1-dong 0.64 56.43 0.84 58.36 1.53 65.27 -0.25 47.50 -0.25 47.49 0.16 51.56 -0.32 46.84 2 Mandeok 3-dong 2.02 70.18 1.53 65.27 3.14 81.36 0.17 51.74 -0.39 46.12 0.67 56.71 -0.68 43.24 3 Deokcheon 3-dong 1.51 65.09 1.89 68.90 0.91 59.08 0.42 54.24 -0.80 41.95 -0.80 42.00 0.40 54.04 4 Gupo 1-dong -0.64 43.61 1.07 60.65 -0.54 44.59 0.11 51.10 -0.53 44.74 -0.29 47.15 -1.04 39.63 5 Geoje 2-dong -0.40 45.97 0.32 53.23 -0.47 45.29 -0.57 44.33 -0.59 44.10 0.23 52.30 0.40 54.04 6 Sajik 2-dong 0.35 53.47 -1.09 39.13 0.80 58.04 0.34 53.41 0.27 52.65 0.08 50.83 0.04 50.44 7 Oncheon 3-dong -0.87 41.29 -1.16 38.37 -0.29 47.07 1.33 63.26 -0.12 48.83 -0.29 47.15 1.48 64.85 8 Bugok 4-dong -1.16 38.43 0.05 50.45 -1.07 39.33 1.92 69.16 -0.57 44.25 -0.95 40.53 -1.04 39.63 9 Bugok 3-dong 0.18 51.84 -0.45 45.51 0.15 51.53 -1.52 34.81 0.26 52.64 -0.87 41.26 -0.32 46.84 10 Geumsa-dong 0.18 51.84 -0.45 45.51 0.15 51.53 -1.56 34.45 -0.78 42.25 -0.95 40.53 1.84 68.45 11 Bansong 2-dong 0.53 55.26 -0.90 40.95 -0.10 49.05 -0.77 42.33 -0.37 46.31 0.45 54.50 2.20 72.05 12 Jwa 2-dong -0.79 42.10 -0.74 42.62 0.89 58.93 -0.90 40.99 0.31 53.11 1.99 69.95 0.76 57.64 13 Jwa 3-dong -0.59 44.12 -0.35 46.54 -0.51 44.93 1.91 69.12 0.02 50.17 -0.58 44.21 0.04 50.44 14 Millak-dong -2.08 29.19 -1.32 36.77 -1.21 37.88 0.33 53.27 -0.67 43.28 -0.14 48.62 0.40 54.04 15 Yeonsan 8-dong -1.85 31.52 -1.05 39.50 -1.47 35.31 0.68 56.76 0.23 52.27 -0.58 44.21 -0.68 43.24 16 Yangjeong 2-dong -1.80 31.99 1.11 61.11 -0.98 40.24 0.72 57.21 -0.13 48.72 -0.65 43.47 0.04 50.44 17 Yeonsan 3-dong -1.11 38.87 2.58 75.83 -0.67 43.28 1.36 63.61 -0.80 41.97 -0.21 47.88 -0.68 43.24 18 Gaya 3-dong 1.69 66.93 0.67 56.69 1.47 64.72 -0.74 42.60 2.44 74.44 -0.36 46.41 -0.68 43.24 19 Jurye 3-dong 0.21 52.13 0.95 59.54 0.99 59.88 -0.34 46.56 -0.42 45.82 3.10 80.98 -0.68 43.24 20 Hakjang-dong 0.48 54.83 2.14 71.43 -0.12 48.77 -1.35 36.54 -0.29 47.10 1.70 67.00 1.12 61.24 21 Eomgung-dong 0.36 53.63 0.38 53.83 0.60 55.98 -1.41 35.86 -0.22 47.79 1.85 68.47 0.04 50.44 22 Goejeong 4-dong 0.94 59.41 0.04 50.41 0.99 59.86 1.13 61.27 -0.67 43.26 -0.58 44.21 -1.04 39.63 23 Dadae 2-dong 0.10 51.04 -0.36 46.36 -0.45 45.46 -0.05 49.51 -0.29 47.12 -0.06 49.35 1.48 64.85 24 Jangnim 2-dong -0.07 49.28 -1.12 38.81 -1.01 39.91 0.20 52.02 -0.43 45.70 0.08 50.83 0.40 54.04 25 Dadae 1-dong 0.28 52.79 -0.07 49.32 -0.63 43.72 -0.38 46.16 0.32 53.17 -0.06 49.35 2.56 75.65 26 Jangnim 1-dong -0.81 41.92 -0.52 44.78 -1.03 39.68 -0.92 40.80 -0.65 43.51 -0.36 46.41 -0.32 46.84 27 Nambumin 2-dong -0.82 41.81 -0.18 48.20 -0.99 40.07 1.55 65.45 -0.79 42.09 -0.43 45.68 0.40 54.04 28 Gamcheon 1-dong 1.74 67.37 -1.11 38.88 0.35 53.54 -0.15 48.53 0.41 54.09 -0.43 45.68 -0.32 46.84 29 Nambumin 1-dong 0.36 53.58 -1.05 39.47 -0.57 44.34 0.94 59.43 -0.79 42.10 -0.87 41.26 -0.68 43.24 30 Ami-dong 0.28 52.80 -0.35 46.50 -0.36 46.41 0.55 55.48 2.44 74.43 -0.06 49.35 -0.32 46.84 31 Seodaesin 3-dong 0.64 56.43 0.84 58.36 1.53 65.27 -1.06 39.38 -0.47 45.28 -0.73 42.74 -1.04 39.63 32 Choryang 2-dong 2.02 70.18 1.53 65.27 3.14 81.36 1.03 60.28 -0.89 41.13 0.38 53.77 -0.68 43.24 33 Dongsam 1-dong 1.51 65.09 1.89 68.90 0.91 59.08 -0.47 45.33 0.79 57.93 0.52 55.24 1.84 68.45 34 Cheonghak 2-dong -0.64 43.61 1.07 60.65 -0.54 44.59 0.32 53.22 -0.73 42.74 -0.06 49.35 0.40 54.04 35 Bongnae 2-dong -0.40 45.97 0.32 53.23 -0.47 45.29 0.64 56.44 -0.82 41.80 -0.95 40.53 -1.04 39.63 36 Dongsam 2-dong 0.35 53.47 -1.09 39.13 0.80 58.04 -1.65 33.46 0.29 52.92 -0.95 40.53 -1.40 36.03 37 Yongdang-dong -0.87 41.29 -1.16 38.37 -0.29 47.07 -1.43 35.71 3.17 81.73 -0.73 42.74 -1.40 36.03 38 Munhyeon 3-dong -1.16 38.43 0.05 50.45 -1.07 39.33 0.89 58.88 -0.75 42.54 -0.73 42.74 -1.04 39.63 39 Danggam 4-dong 0.18 51.84 -0.45 45.51 0.15 51.53 0.78 57.85 -0.29 47.06 -0.36 46.41 -0.68 43.24 40 Gwaebeop-dong 0.18 51.84 -0.45 45.51 0.15 51.53 -0.85 41.54 0.99 59.88 -0.21 47.88 0.04 50.44 41 Jurye 2-dong 0.53 55.26 -0.90 40.95 -0.10 49.05 -0.96 40.39 2.55 75.51 3.02 80.24 0.04 50.44
Table 5(ᇡಾₙ᳑)ᮡ ⠪aᯙᯱᄥ sᮥ ⢽ᵡ⪵⦹Ł ⠙₉⊹ಽ
⪹ᔑ⦹ᩍ ᱶญ⦽ äᯕ݅.
4.2 ඌԧୀଭԧண౿ॺ୨
ᖅ⧕≉᧞ḡᩎ᮹᭥⨹ࠥ⠪aᨱᦿᕽ⠪aᯙᄥᯙᯱॅᨱݡ⦽
ᵲࠥෝᔑᱶ⦹ʑ᭥⧕ĥ⊖ᇥᕾʑჶ(AHP)ᮥᔍᬊ⦹ᩡ݅. Fig.
Journal of the Korean Society of Civil Engineers
1084
Fig. 4. Hierarchy of assessment factors
Table 6. Survey data less than 10%(C.R.)
Survey asse.
factors
natural factors
social
factors adap. factors the number of
questionnaires 30 31 55 55
Table 7. Weight of assessment factors
level 1. factors level 2. factors weight Natural
Factors 0.620
Slope 0.674 0.418
Elevation 0.143 0.089
Aspect 0.183 0.113
Social
Factors 0.184 pop. density 0.462 0.085 Facilities 0.538 0.099 Adaptation
Factors 0.196 Sandbox 0.692 0.136
gov. employees 0.308 0.060
Fig. 5. Weight of assessment factors
4۵ĥ⊖ᱢᇥ⧕(hierarchy decomposition)ႊჶᮥᯕᬊ⦹ᩍᖅ⧕
᭥⨹ࠥᨱ š⦽ ᯙॅᮥ ĥ⊖ᱢᮝಽ ᇥඹ⦽ äᯕ݅.
ᝁ⧁ᙹᯩ۵ᵲࠥෝᔑᱶ⦹ʑ᭥⧕šಉᱥྙaၰᝅྕ
ᱥྙaෝݡᔢᮝಽᖅྙ᳑ᔍෝᝅ⦹ᩡ݅. ᱥྙaಽ۵ࠥĥ⫮
ၰƱ☖əญŁʑ⬥ᄡ⪵šಉᱥྙaෝݡᔢᮝಽ⦹ᩡŁ, ᝅྕ
ᱥྙaಽ۵ᩑǍḡᩎᯙᇡᔑŲᩎ᮹bǍℎᯱᩑᰍӽᨦྕݕݚ
ᯱ, ᔍᱥᰍ⧕ᩢ⨆⠪aᨦྕ᳦ᔍᯱəญŁᇡᔑḡႊĞₑℎࠥಽŝ
ၰࠥಽƱ☖Ŗ݉Ḣᬱॅᮥݡᔢᮝಽ᳑ᔍ⦹ᩡ݅. Table 6ᮡ᳑ᔍࡽ
ᖅྙᯱഭᵲᯝšᖒá᷾ᮥ☖⧕ᕽᙹᱢᙽ᭥ᨱྕญaᨧ۵, ᷪ
ᯝšᖒእᮉ(consistency ratio : C.R.) sᯕ10% ᯕԕᯙᯱഭᙹෝ
ᱶญ⦽ äᯕ݅.
ᯝšᖒእᮉ(í«í)ᮡ ᦥ௹ ᙹ (2)᪡ z݅.
í«í á ć«í¢íí¢í á ć§ à Î Łà §
Z ć«í¢Î (2)
ᩍʑᕽ, í¢í : ᯝšᖒḡᙹ, «í¢í : ⪶ශḡᙹ, Ł : ↽ݡ Łᮁs, § : ⧪᮹ Ⓧʑ ᯕ݅.
ᦿᕽᖅ⧕᭥⨹⠪aᯙၰᯙᯱॅ᮹ᯝšᖒá᷾ᮥ☖⧕⇵⇽
⦽ᯱഭෝĥ⊖ᇥᕾʑჶᨱᱢᬊ⦹ᩡ݅. ᯕভᯱഭ᮹ʑ⦹⠪Ɂᮥ
ᯕᬊ⦹ᩡᮝ໑, Table 7ᮡ⠪aᯙၰ ᯙᯱᄥᔢݡᱢᵲࠥෝ
᳦⧊⦽ äᯕ݅.
ᖅ⧕᭥⨹ᨱݡ⦽᭥⨹ᮡᯱᩑᱢᯙ, ✚⯩əᵲᨱᕽࠥĞᔍࠥ
aaᰆⓑ᭥⨹ᯙᯥᮥᅕᩍᵡ݅. ᱢ᮲ᯙ᮹ᱽᖅ⧉}ᙹ۵
᭥⨹ᮥᱡq┅۵ᄡᙹಽ៉, ࠺ᱩʑ⡎ᖅə⦝⧕ෝ↽ᗭ⪵
⦹۵ߑ ᵲ ᮹ၙa ᯩᮭᮥ ᮹ၙ⦽݅.
4.3 ডැ౫ઊલܑඌԧࢫલ෮จ
ᅙᩑǍᨱᕽ۵ᖁᱶࡽḡᩎᄥ᭥⨹ࠥෝ⠪a⦹ʑ᭥⧕ᕽ⠪a
ᯙᮥᯱᩑᱢᯙ, ᔍ⫭ᱢᯙəญŁᱢ᮲ᯙᮝಽǍᇥ⦹Ł
b ᯙᄥ ⠪aᯙᯱෝ ᖁᱶ⦹ᩡ݅. ੱ⦽ b ⠪aᯙᯱᄥ ᵲࠥ
ᔑᱶᮥ᭥⧕ĥ⊖ᇥᕾʑჶ(AHP)ᮥᯕᬊ⦹Łšಉᱥྙaၰᝅྕ
ݕݚᯱෝݡᔢᮝಽᖅྙ᳑ᔍෝᝅ⦹ᩍ⠪aᯙᯱᄥaᵲ⊹ෝᔑ ᱶ⦹ᩡ݅. ᭥⨹ࠥ⠪aႊჶᮡᕽᬙᱶ}ၽᩑǍᬱ(2006)ᨱᕽḥ
⧪⦽“ᕽᬙḡᩎᦩᱥࠥ⠪a”᮹“᭥⨹ᖒḡᙹ”ෝᅙᩑǍ᮹✚ᖒ ᨱ฿ࠥಾᄡᬊ⦹ᩍᖅ⧕᭥⨹ḡᩎ᮹ᬑᖁᙽ᭥ෝ⠪a⦹۵ߑᔍᬊ
⦹ᩡ݅.
᭥⨹ࠥḡᙹ = (3)
ķZᯱᩑᱢᯙ + ĸ Z ᔍ⫭ᱢᯙ ⲯĹZ ᱢ᮲ᯙ
ᩍʑᕽ, ⱕ, ⱖ, ⱗ۵ ĥᙹಽ៉ ⠪aᯙᄥ aᵲ⊹ෝ ᮹ၙ⦽݅.
ᖅᱢᯙ᮹⠪aᯙᯱ‘ᱽᖅ⧉}ᙹ’۵ᖅ⧕᭥⨹᮹ᱡqᮥ᮹ၙ⧉
ᮝಽəʑ⪙۵‘-’ಽ⢽⩥⦹ᩡ݅. ੱ⦽bᯙॅ᮹⠪aᯙᯱॅᨱ
ݡ⦽ ĥᔑᮡ ᙹ (4)ŝ zᯕ ⧪ᮝಽ ⢽⩥⧁ ᙹ ᯩ݅.
᭥⨹ࠥḡᙹ = (4) ÞķÎķÏķÐßĖ
Ę
ė
ఔ ጛ㎳ష㓼 ęěĚ
âÞĸÎĸÏßÞ⛏ೃ᭗ጛ♷⛏∳⁻ à ÞĹß ÎĹÏßÞ❳⁻㒿୳Ⅿౌ☧Ⅿ ßTable 8. Risk assessment results for vulnerable areas
Id priority name risk index
2 1 Mandeok 3-dong 43.00
17 2 Yeonsan 3-dong 40.79
3 3 Deokcheon 3-dong 39.83
36 4 Dongsam 2-dong 39.06
27 5 Nambumin 2-dong 37.95
39 6 Danggam 4-dong 36.97
30 7 Ami-dong 36.15
18 8 Gaya 3-dong 35.94
1 9 Mandeok 2-dong 35.08
29 10 Nambumin 1-dong 32.47
41 11 Jurye 2-dong 32.44
6 12 Sajik 2-dong 32.20
35 13 Bongnae 2-dong 31.92
22 14 Goejeong 4-dong 31.70
21 15 Eomgung-dong 31.52
: : : :
Table 9. Natural factors of Mandeok 1-dong priority
No.1 spacial analysis road photos
1
slope 2010· 11· 24
aspect 2011· 01· 04
elevation
Table 10. Natural factors of Yeonsan 3-dong priority
No.2 spacial analysis road photos
2
slope 2010· 11· 24
aspect 2011· 01· 04
elevation
ķÎì ķÏì ķÐì ĸÎì ĸÏì ĹÎĹÏ ۵b⠪aᯙᯱᄥaᵲ⊹ෝᔍᬊ⦹
Łbᯙᯱ᮹sᮡ⢽ᵡᱱᙹᨱᕽ⪹ᔑࡽsᯙ⠙₉⊹ෝᔍᬊ⦽݅.
݅ᮭTable 8ᮡᖁᱶࡽᖅ⧕᭥⨹ḡᩎॅ᮹᭥⨹ࠥᨱᱶญ⦽
ä ᯕ݅.
᭥⨹ࠥ⠪ađŝᖅ⧕ᨱaᰆ≉᧞⦽ḡᩎᮡ᭥⨹ḡᙹ43.00᮹
‘อ3࠺’ŝ᭥⨹ḡᙹ40.79᮹‘ᩑᔑ3࠺’ᯕᖁᱶࡹᨩ݅. อ3࠺
᮹Ğᬑ႒᧲ᔑᇢᨱ᭥⊹⦹Łᯩᨕࠥಽ᮹Ğᔍࠥa׳Łݡᇡᇥ ᯕᮭḡᨱ⧕ݚ⦽݅. ੱ⦽ᯙǍၡࠥa13,611(/km2)ಽ┡࠺ᨱ
እ⧕׳ᮡ⠙ᯕŁᯙǍᮁᯙᖅಽ۵᧲Ⅹ॒⦺Ʊ, ႒ᔑⅩ॒⦺Ʊ,
ᝁᵲ⦺Ʊ॒ᯕ᭥⊹⦹Łᯩᨕ⦺ᔾॅ᮹॒⦹ƱeᨱƱ☖పᯕ
׳ᮡŔᮝಽᩩᔢࡽ݅. ᩑᔑ3࠺᮹Ğᬑ⠪ɁĞᔍࠥa35.85%,
⨆ᯕ 39.91%ᯕŁ ✚⯩, ᯙǍၡࠥa 21,495(/Km2)ᮝಽ 41}
ḡᩎᵲࢱჩṙಽ׳ᮡḡᩎᮝಽอ3࠺ŝእ⦽⪹ĞᮥaḡŁ
ᯩ݅. Fig. 6ᮡ Table 8ᮥ ʑၹᮝಽ ⦹ᩍ ᭥⨹ࠥ ⠪a đŝ᮹
॒ɪᮥᯱᩑᇥඹჶ(Natural Breaks, Jenks)ᮥᯕᬊ⦹ᩍᇥඹ⦹Ł
ࠥ⪵⦽ äᯕ݅.
Table 9, Table 10ᮡ᭥⨹ࠥḡᙹaaᰆ׳ᮡࢱḡᩎᨱݡ⦹ᩍ
GIS ᇥᕾၰ⩥ᰆݖᔍᔍḥᮥᱶญ⦽äᯕ݅. ࢱḡᩎᮡݡᇡᇥ
ࠥಽ᮹Ğᔍaɪ⦹ᩡŁ✚ᱶḡᩎॅᮡ₉పᮥᯕᬊ⦹ࠥᛞí
ᱲɝ⦹ʑᨕಅᬕᔢ┽ᩡ݅. ੱ⦽ᯙǍၡࠥa׳ŁⅩ·ᵲ·Ł॒⦺Ʊ
ၰݡ⦺Ʊa᭥⊹⦹Łᯩᨕ┡ḡᩎᨱእ⧕ᔢݡᱢᮝಽᮁ࠺ᯙǍa
׳ᮡ⠙ᯕᨩ݅. í݅aᝅᱽ٩ᯕ᪉2011֥1ᬵ4ᯝᨱ݅⩥ᰆݖ ᔍෝ⦹ᩍᅕܩݡᔢḡᩎ᮹ࠥಽݡᇡᇥᯕ٩ᯕךḡᦫᮡᔢ┽ᩡᮝ ໑Ñ᮹༉ुࠥಽa2₉ᖁᯕ⦹ಽ⡎ᖅᯕԕฑ݅໕Ʊ☖ษእᨱ
᮹⦽ ⓑ ⪝ᮥ Ⅹ௹ ⧁ äᮝಽ ❱݉ࡽ݅.
5. đುၰᱶ₦ᱽᨙ
ᅙᩑǍᨱᕽ۵ᩍ్ʑ⬥ᄡ⪵ᔍᔢᵲ⡎ᖅᯕࠥᨱၙ⊹۵
᭥⨹ᱶࠥෝӹ┡ԕʑ᭥⧕ᯱᩑᱢᯙ, ᔍ⫭ᱢᯙ, ᱢ᮲ᯙ
॒ᮥ⠪a⦹ᩡ݅. ᯙǍaḲᵲࡹᨕᯩ۵ࠥ۵ᔍ⫭ʑၹᖅ᮹
ᩎ⧁ᯕๅᬑᵲ⦹໑əʑ܆ᯕษእࢁĞᬑⓑ⪝ᮥⅩ௹⦹í
ࡽ݅. ᩑǍḡᩎᯙᇡᔑŲᩎ۵ࠥᝍԕǍ෪ᖒᔑḡaฯᯕᇥ⡍⦹
Łᯩᨕࠥಽ᮹Ğᔍ, ⢽Ł, ⨆॒ḡ⩶ᱢ✚ᖒॅᯕ⡎ᖅᨱ≉᧞⦽
Ǎ᳑ಽ⩶ᖒࡹᨕᯩ݅. ᩎᔍᱢᮝಽĉᬙ℁ᖅ⧕aᱢᨩ┴ᯙḡ
⡎ᖅᨱݡ⦽ŁಅᨧᯕǍ෪ḡᨱ}ၽᯕḡᗮࡹᨕ᪵äᯕᔍᝅᯕ݅.
ə్ӹḡӽ20֥࠺ᦩ᮹ᇡᔑŲᩎᱢᖅప⇵ᯕෝᔕ⠕ᅕ໕
əኩࠥ᪡᧲ᯕᱱ₉᷾a⦹Łᯩ݅. ᯕ۵ᇡᔑŲᩎaᯕᔢ
⡎ᖅ᮹ᦩᱥḡݡaࢁᙹᨧᮭᮥ᮹ၙ⦹Ł࠺ᨱᖅ⧕⦝⧕ᱡq
⪽࠺ ၰ ᱢ᮲܆ಆ ⨆ᔢᮥ ᭥⦽ ݡ᮲ႊᦩ᮹ ⦥ᖒᯕ ݡࢱࢉᮥ
᮹ၙ⦽݅.
ᖅ⧕⦝⧕ෝᱡq┅Ł⡎ᖅᱢ᮲܆ಆᮥ┅ᬑʑ᭥⧕ᕽ۵ຝᱡ
≉᧞ḡᩎᖁᱶၰ᭥⨹ࠥ⠪aaᖁ⧪ࡹᨕ⦽݅. ᅙᩑǍ۵ᩑǍḡ ᩎԕ ࠥಽa ᭥⊹⦽ ḡ⩶ᱢ ✚ᖒ(Ğᔍࠥ, ⨆, ⢽Ł)ᮥ ᵲᝍᮝಽ
ᖅ⧕ᩩᔢ᭥⨹ḡᩎᮥᖁᱶ⦹Ł⧕ݚḡᩎ᮹᭥⨹ࠥෝ⠪a⧉ᮝಽ
ᱢ᮲ᱶ₦ᙹพ ʑⅩᯱഭಽ ⪽ᬊࢁ ᙹ ᯩࠥಾ ⦹ᩡ݅.
ᩑǍđŝᨱ ݡ⦽ ⪽ᬊႊᦩᮝಽ۵ ℌṙ, ᰍ⧕ ݡ᮲ĥ⫮ ᙹพ
ᨕ۱ ḡᩎᮥ ᵲᱱᱢᮝಽ ᳑⊹⧁ äᯙaᨱ ݡ⦽ ᬑᖁᙽ᭥ෝ
ᱽ⧁ᙹᯩ݅۵äᯕ݅. ᯕ۵ႊᰍᔍᨦ᮹⇵ḥŝ⚍ᯱᨱᯩᨕ
ྕᇥᄥ⦽ ᯱᬱԎእၰ ⧪₊᪅ᨱ ݡ⦽eᮥ ᱩ᧞⧁ ᙹᯩ۵
ʑ⫭ෝᱽŖ⦽݅. ࢹṙ, ᭥⨹ࠥ⠪ađŝᨱ᮹⧕ᙹพࡽᰆʑᱢᯙ
ႊᰍĥ⫮ᮡ⧕ݚḡᩎ᮹ᰍ}ၽᔍᨦၰʑၹᖅᨱݡ⦽ᱶእ
⪽ᬊࢁᙹᯩ݅. ⧎Ǎᱢᯙႊᰍĥ⫮ᮡࠥĥ⫮᮹ႊᰍ᪡ᦩᱥᨱ
ݡ⦽ĥ⫮ᙹพʑⅩᯱഭၹᩢࡹᨕℕĥᱢᯕ໑⧊ญᱢᯙᰍ}ၽ ᔍᨦŝʑၹᖅ᮹ᰍᱶእෝࠥ༉⧁ᙹᯩᮥäᯕ݅. šಉࠥĥ⫮
ᮝಽ۵ʑၹᖅᨱݡ⦽äᮝಽࠥšญĥ⫮᮹ʑၹᖅ᮹ᖅ⊹·
ᱶእ}పᨱš⦽ĥ⫮əญŁʑၹᖅ᮹႑⊹᪡Ƚ༉, Ʊ☖ญ ĥ⫮॒ᮥ⡍⧉⦹Łᯩ۵ḡǍ݉᭥ĥ⫮॒ᮥΞᮥᙹᯩ݅. ᦿᮝಽ
⡎ᖅᨱ᮹⦽ᖅ⧕ᐱอᦥܩࠥ᮹ ʑၹᖅ᮹ᱢ᮲ᩎపv⪵
₉ᬱᨱᕽ }ᄥ ʑ⬥ᔍᔢ ၰ ʑၹᖅᨱࠥ ᔍᱥ ᭥⨹ࠥ ⠪a᪡
šಉࠥĥ⫮ॅ᮹ᩑĥၰᄲ⧪ᯕᯕᨕᲙ⧁äᯕ݅. ੱ⦽
ᯕ۵ḡᗮa܆⦽ၽᱥ᮹}ֱᱢ✡ᦩᨱᕽĥ⫮ࡹŁᝅ⧪ࡹᨕᲙ
⧁ äᯕ݅.
qᔍ᮹ɡ
ᅙᩑǍ۵ᗭႊႊᰍℎᯱᩑᰍ⧕ᱡqʑᚁ}ၽᔍᨦ᮹ḡᬱᮝಽ
ᙹ⧪⦽‘ḡᩎ✚ᖒᮥŁಅ⦽ᰍ⧕ᩢ⨆ᇥᕾʑჶŁࠥ⪵’ [NEMA-
ᯱᩑ-2012-59-2012201]ŝᱽ᮹ ᖒŝ᯦ܩ݅.
References
Shim, J.-H., Lee, S.-H. (2008). “A study on the decision making for location selection of large-scale discount stores.” Journal of Korean Society of Civil Engineers, Korean Society of Civil Engineers, Vol. 28, No. 5D, pp. 705-712 (in Korean).
Lee, H.-Y., Shim, J.-H. (2011). Geographic information systems, Bobmunsa. pp. 306-322 (in Korean).
Lee, C.-H. (2006). Development of the regional safety assesment model in seoul, Seoul Development Institute (in Korean).
Ryu, G.-Y., Kim, I.-A. (2008). Development and application of a climate change vulnerability index, Korea Environment Institute (in Korean).
Myung, S.-J. (2009). Assessing vulnerability to climate change of the physical infrastructure in korea and developing adaptation strategies, Korea Environment Institure (in Korean).
Pusan Disaster and Safety Countermeasures Headquarters (2005).
Natural disaster relief in winter, 2005, Pusan Disaster and Safety Countermeasures Headquarters (in Korean).
Pusan Disaster and Safety Countermeasures Headquarters (2010).
Natural disaster relief in winter, 2010, Pusan Disaster and Safety Countermeasures Headquarters (in Korean).
KRIHS (2005). GIS application methods for national territorial disaster prevention, Korean Research Institute for Human Settlements (in Korean).
IPCC (2007). Impacts, adaptation and vulnerability, Fourth Assess- ment Report : Climate Change 2007 (AR4).
IPCC (2001). The scientific basis, Third Assessment Report : Climate Change 2001 (TAR).
