Directionally and spatially varying relationship between land surface temperature and land-use pattern considering wind direction : a case study in central China
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature..
The spatially varying relationship between land surface temperature (LST) and land-use factors at a large scale has been widely studied by geographically weighted regression (GWR) models. However, the directionally varying relationship caused by wind directions has not yet been considered. In this study, the wind directions in the summer and the winter of Wuhan in 2017 were extracted to build a geographically-directionally weighted regression (GDWR) to identify the spatially and directionally varying relationships between them. The results indicated that both the R2 and the significance have been improved by the GDWR model in the summer and the winter. Specially, the GDWR performed best in the winter of 2017, increasing R2 from 0.0688 to 0.6635 provided by ordinary least squares (OLS)-based multiple linear regression (MLR) and GWR, to 0.7839 by the GDWR, with P-value lower than 0.05 all across the study area. Furthermore, the residual has been dramatically reduced in the north and southeast part of Wuhan by GDWR in the winter. It's probably due to the fact that in the winter, wind was flowed from south to north. But the GDWR did not reduce the residual in central Wuhan. It suggests that the wind would cause an obviously directionally varying relationship in the suburbs; while it would not make a significant impact on the relationship between LST and its driving factors in the central city where complex land uses existed.
Medienart: |
E-Artikel |
---|
Erscheinungsjahr: |
2021 |
---|---|
Erschienen: |
2021 |
Enthalten in: |
Zur Gesamtaufnahme - volume:28 |
---|---|
Enthalten in: |
Environmental science and pollution research international - 28(2021), 32 vom: 01. Aug., Seite 44479-44493 |
Sprache: |
Englisch |
---|
Beteiligte Personen: |
Li, Keke [VerfasserIn] |
---|
Links: |
---|
Themen: |
Directional varying relationship |
---|
Anmerkungen: |
Date Completed 13.08.2021 Date Revised 15.03.2024 published: Print-Electronic Citation Status MEDLINE |
---|
doi: |
10.1007/s11356-021-13594-2 |
---|
funding: |
|
---|---|
Förderinstitution / Projekttitel: |
|
PPN (Katalog-ID): |
NLM324061358 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | NLM324061358 | ||
003 | DE-627 | ||
005 | 20240315232536.0 | ||
007 | cr uuu---uuuuu | ||
008 | 231225s2021 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1007/s11356-021-13594-2 |2 doi | |
028 | 5 | 2 | |a pubmed24n1330.xml |
035 | |a (DE-627)NLM324061358 | ||
035 | |a (NLM)33851299 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
100 | 1 | |a Li, Keke |e verfasserin |4 aut | |
245 | 1 | 0 | |a Directionally and spatially varying relationship between land surface temperature and land-use pattern considering wind direction |b a case study in central China |
264 | 1 | |c 2021 | |
336 | |a Text |b txt |2 rdacontent | ||
337 | |a ƒaComputermedien |b c |2 rdamedia | ||
338 | |a ƒa Online-Ressource |b cr |2 rdacarrier | ||
500 | |a Date Completed 13.08.2021 | ||
500 | |a Date Revised 15.03.2024 | ||
500 | |a published: Print-Electronic | ||
500 | |a Citation Status MEDLINE | ||
520 | |a © 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature. | ||
520 | |a The spatially varying relationship between land surface temperature (LST) and land-use factors at a large scale has been widely studied by geographically weighted regression (GWR) models. However, the directionally varying relationship caused by wind directions has not yet been considered. In this study, the wind directions in the summer and the winter of Wuhan in 2017 were extracted to build a geographically-directionally weighted regression (GDWR) to identify the spatially and directionally varying relationships between them. The results indicated that both the R2 and the significance have been improved by the GDWR model in the summer and the winter. Specially, the GDWR performed best in the winter of 2017, increasing R2 from 0.0688 to 0.6635 provided by ordinary least squares (OLS)-based multiple linear regression (MLR) and GWR, to 0.7839 by the GDWR, with P-value lower than 0.05 all across the study area. Furthermore, the residual has been dramatically reduced in the north and southeast part of Wuhan by GDWR in the winter. It's probably due to the fact that in the winter, wind was flowed from south to north. But the GDWR did not reduce the residual in central Wuhan. It suggests that the wind would cause an obviously directionally varying relationship in the suburbs; while it would not make a significant impact on the relationship between LST and its driving factors in the central city where complex land uses existed | ||
650 | 4 | |a Journal Article | |
650 | 4 | |a Directional varying relationship | |
650 | 4 | |a GDWR | |
650 | 4 | |a LST | |
650 | 4 | |a Land use | |
650 | 4 | |a Non-stationary | |
650 | 4 | |a Wind direction | |
700 | 1 | |a Zhang, Wenting |e verfasserin |4 aut | |
773 | 0 | 8 | |i Enthalten in |t Environmental science and pollution research international |d 1994 |g 28(2021), 32 vom: 01. Aug., Seite 44479-44493 |w (DE-627)NLM093849869 |x 1614-7499 |7 nnns |
773 | 1 | 8 | |g volume:28 |g year:2021 |g number:32 |g day:01 |g month:08 |g pages:44479-44493 |
856 | 4 | 0 | |u http://dx.doi.org/10.1007/s11356-021-13594-2 |3 Volltext |
912 | |a GBV_USEFLAG_A | ||
912 | |a GBV_NLM | ||
951 | |a AR | ||
952 | |d 28 |j 2021 |e 32 |b 01 |c 08 |h 44479-44493 |