Changes in land use, climate and the environment during a period of rapid economic development in Jiangsu Province, China

Science of the Total Environment

Volumn 536, Issue , 2015, Pages 173-181

  Huang, Changchun ^a   Zhang, Mingli ^a   Zou, Jun ^a   Zhu, A Xing ^a,b   Chen, Xia ^a   Mi, Yin ^a   Wang, Yanhua ^a   Yang, Hao ^a   Li, Yunmei ^a  

^a NANJING NORMAL UNIVERSITY   (China)

^b UNIVERSITY OF WISCONSIN MADISON   (United States)

Author keywords

Climate and environment; Jiangsu province; Land use cover change; Remote sensing

Indexed keywords

ATMOSPHERIC HUMIDITY; CORRELATION METHODS; ECONOMIC AND SOCIAL EFFECTS; FARMS; INDUSTRIAL EMISSIONS; LAND USE; POLLUTION; REMOTE SENSING;

ATMOSPHERIC PARTICLES; ATMOSPHERIC POLLUTANTS; CLIMATE AND ENVIRONMENT; GROSS DOMESTIC PRODUCTS; JIANGSU PROVINCE; LAND USE/COVER CHANGE; PEARSON CORRELATION COEFFICIENTS; SOCIO-ECONOMIC DEVELOPMENT;

CLIMATE CHANGE;

CARBON DIOXIDE; WASTE WATER;

CLIMATE CHANGE; ECONOMIC DEVELOPMENT; ENVIRONMENTAL CHANGE; HUMAN ACTIVITY; LAND COVER; LAND USE CHANGE; REMOTE SENSING; SPATIAL ANALYSIS; URBANIZATION;

AGRICULTURAL LAND; ARTICLE; ATMOSPHERE; ATMOSPHERIC DEPOSITION; CHINA; CLIMATE; CONTROLLED STUDY; CORRELATION ANALYSIS; CORRELATION COEFFICIENT; DOMESTIC WASTE; ECONOMIC DEVELOPMENT; ENVIRONMENT; ENVIRONMENTAL TEMPERATURE; FOREST; GRASSLAND; GREENHOUSE EFFECT; GROSS NATIONAL PRODUCT; HUMAN ACTIVITIES; HUMIDITY; INDUSTRY; LAND USE; POLLUTANT; PRIORITY JOURNAL; SPATIAL ANALYSIS; STATISTICAL ANALYSIS; URBAN AREA; URBANIZATION; WASTE WATER; AGRICULTURE; CLIMATE CHANGE; ENVIRONMENTAL MONITORING; ENVIRONMENTAL PROTECTION; HUMAN; STATISTICS AND NUMERICAL DATA; TRENDS;

CHINA; JIANGSU;

AGRICULTURE; CHINA; CLIMATE CHANGE; CONSERVATION OF NATURAL RESOURCES; ENVIRONMENTAL MONITORING; FORESTS; GROSS DOMESTIC PRODUCT; HUMANS; INDUSTRY; URBANIZATION; WASTE WATER;

EID: 84937405390     PISSN: 00489697     EISSN: 18791026     Source Type: Journal    
DOI: 10.1016/j.scitotenv.2015.07.014     Document Type: Article

References (44)

1. Bonan G.B., Pollard D., Thompson S.L. Effects of boreal forest vegetation on global climate. Nature 1992, 359:716-718.
2. Briggs D. The role of GIS: coping with space (and time) in air pollution exposure assessment. J. Toxicol. Environ. Health A 2005, 68:1243-1261.
3. Bu H.M., Meng W., Zhang Y., Wan J. Relationships between land use patterns and water quality in the Taizi River basin, China. Ecol. Indic. 2014, 41:187-197.
4. Buscail C., Upegui E., Viel J.F. Mapping heatwave health risk at the community level for public health action. Int. J. Health Geogr. 2012, 11:38.
5. Chen C.H., Wang B.Y., Fu Q.Y., Green C., Streets D. Reductions in emissions of local air pollutants and co-benefits of Chinese energy policy: a Shanghai case study. Energy Policy 2006, 34:754-762.
6. Davin E.L., de Noblet-Ducoudré N. Climatic impact of global-scale deforestation: radiative versus nonradiative processes. J. Clim. 2010, 23:97-112.
7. De la Fuente A., Bing N., Hoeschele I., Mendes P. Discovery of meaningful associations in genomic data using partial correlation coefficients. Bioinformatics 2004, 20(18):3565-3574.
8. De Vries F.T., Thebault E., Liiri M., Birkhofer K., Tsiafouli M.A., Bjornlund L., Jorgensen H.B., Brady M.V., Christensen S., de Ruiter P.C., d'Hertefeldt T., Frouz J., Hedlund K., Hemerik L., Hol W.H.G., Hotes S., Mortimer S.R., Setala H., Sgardelis S.P., Uteseny K., van der Putten W.H., Wolters V., Bardgett R.D. Soil food web properties explain ecosystem services across European land use systems. Proc. Natl. Acad. Sci. U. S. A. 2013, 110(35):14296-14301.
9. Foley J.A., DeFries R., Asner G.P., Barford C., Bonan G., Carpenter S.R. Global consequences of land use. Science 2005, 309:570-574.
10. Hasler N., Werth D., Avissar R. Effects of tropical deforestation on global hydroclimate: a multi-model ensemble analysis. J. Clim. 2009, 22:1124-1141.
11. Herrero M., Thornton P.K., Bernués A., Baltenweck I., Vervoort J., van de Steeg J., Makokha S., van Wijk M.T., Karanja S., Rufino M.C., Staal S.J. Exploring future changes in smallholder farming systems by linking socio-economic scenarios with regional and household models. Glob. Environ. Chang. 2014, 24:165-182.
12. Hua W.J., Chen H.S. Impacts of regional-scale land use/land cover change on diurnal temperature range. Adv. Clim. Chang. Res. 2013, 4(3):166-172.
13. Huang C.C., Wang X.L., Yang H., Li Y.M., Wang Y.H., Chen X., Xu L.J. Satellite data regarding the eutrophication response to human activities in the plateau lake Dianchi in China from 1974 to 2009. Sci. Total Environ. 2014, 485-486:1-11. 10.1016/j.scitotenv.2014.03.031.
14. IPCC Agriculture. Climate Change 2007: Mitigation, Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change 2007, 498-540. Cambridge University Press, Cambridge, UK and New York, NY, USA. B. Metz, O.R. Davidson, P.R. Bosch (Eds.).
15. Kalnay E., Cai M. Impact of urbanization and land-use change in climate. Nature 2003, 423:528-531.
16. Kang J.-H., Lee S.W., Cho K.H., Ki S.J., Cha S.M., Kim J.H. Linking land-use type and stream water quality using spatial data of fecal indicator bacteria and heavy metals in the Yeongsan river basin. Water Res. 2010, 44:4143-4157.
17. Keith D.W., Dowlatabadi H. A serious look at geoengineering. EOS Trans. Am. Geophys. Union 1992, 73:289-293.
18. Kestens Y., Brand A., Fournier M., Goudreau S., Kosatsky T., Maloley M., Smargiassi A. Modelling the variation of land surface temperature as determinant of risk of heat-related health events. Int. J. Health Geogr. 2011, 10:7.
19. Knibbs L.D., Hewson M.G., Bechle M.J., Marshall J.D., Barnett A.G. A national satellite-based land-use regression model for air pollution exposure assessment in Australia. Environmental Research 2014, 135:204-211.
20. Kotthaus S., Smith T.E.L., Wooster M.J., Grimmond C.S.B. Derivation of an urban materials spectral library through emittance and reflectance spectroscopy. ISPRS J. Photogramm. Remote Sens. 2014, 94:194-212.
21. Lambin E.F., Geist H.J. Regional differences in tropical deforestation. Environment 2003, 45(6):22-36.
22. Lambin E.F., Turner B.L., Geist H.J., Agbola S.B., Angelsen A., Bruce J.W., Coomes O.T., Dirzo R., Fischer G., Folke C., George P.S., Homewood K., Imbernon J., Leemans R., Li X.B., Moran E.F., Mortimore M., Ramakrishnan P.S., Richards J.F., Skanes H., Steffen W., Stone G.D., Svedin U., Veldkamp T., Vogel C., Xu J.C. The causes of land-use and land-cover change: moving beyond the myths. Global Environ. Change Hum. Policy Dimens. 2001, 11:261-269.
23. Lawrence P.J., Feddema J.J., Bonan G.B. Simulating the biogeochemical and biogeophysical impacts of transient land cover change and wood harvest in the Community Climate System Model (CCSM4) from 1850 to 2100. J. Clim. 2012, 25:3071-3095.
24. Li S., Gu S., Tan X., Zhang Q. Water quality in the upper Han River basin, China: the impacts of land use/land cover in riparian buffer zone. J. Hazard. Mater. 2009, 165:317-324.
25. Li J.P., Wu Z.W., Jiang Z.H., He J.H. Can global warming strengthen the East Asian summer monsoon?. J. Clim. 2010, 23:6696-6705.
26. Lohila A., Minkkinen K., Laine J. Forestation of boreal peatlands: impacts of changing albedo and greenhouse gas fluxes on radiative forcing. J. Geophys. Res. 2010, 115:G04011.
27. Lu D.S., Weng Q.H. Use of impervious surface in urban land-use classification. Remote Sens. Environ. 2006, 102:146-160.
28. Matthews M.W., Bernard S., Robertson L. An algorithm for detecting trophic status (chlorophyll-a), cyanobacterial-dominance, surface scums and floating vegetation in inland and coastal waters. Remote Sens. Environ. 2012, 124:637-652.
29. Migliaccio K.W., Chaubey I., Haggard B.E. Evaluation of landscape and in stream modeling to predict watershed nutrient yields. Environ. Model. Softw. 2007, 22(7):987-999.
30. Moore D.K., Jerrett M., Mack W.J., Kunzli N. A land use regression model for predicting ambient fine particulate matter across Los Angeles, CA. J. Environ. Monit. 2007, 9:246-252.
31. 2 in the United States. Environ. Sci. Technol. 2011, 45:4407-4414.
32. Olofsson P., Foody G.M., Stehman S.V., Curtis E. Woodcock making better use of accuracy data in land change studies: estimating accuracy and area and quantifying uncertainty using stratified estimation. Remote Sens. Environ. 2013, 129:122-131.
33. Park Y.S., Kwon Y.S., Hwang S.J., Park S. Characterizing effects of landscape and morphometric factors on water quality of reservoirs using a self-organizing map. Environ. Model. Softw. 2014, 55:214-221.
34. Robson B.J. State of the art in modelling of phosphorus in aquatic systems: review, criticisms and commentary. Environ. Model. Softw. 2014, 1-21. 10.1016/j.envsoft.2014.01.012.
35. Ross Z., Jerrett M., Ito K., Tempalski B., Thurston G.D. A land use regression for predicting fine particulate matter concentrations in the New York City region. Atmos. Environ. 2007, 41:2255-2269.
36. Shukla J., Nobre C., Sellers P. Amazon deforestation and climate change. Science 1990, 247:1322-1325.
37. Snyder P.K., Delire C., Foley J.A. Evaluating the influence of different vegetation biomes on the global climate. Clim. Dyn. 2004, 23(3/4):279-302.
38. 10. Environ. Sci. Technol. 2013, 47:13555-13564.
39. Wang W., Koslowski F., Nayak D.R., Smith P., Saetnan E., Ju X., Guo L., Han G., Perthuis C., Lin E. Dominic Moranc Greenhouse gas mitigation in Chinese agriculture: distinguishing technical and economic potentials. Glob. Environ. Chang. 2014, 26:53-62.
40. Woli K.P., Nagumo T., Kuramochi K., Hatano R. Evaluating river water quality through land use analysis and N budget approaches in livestock farming areas. Sci. Total Environ. 2004, 329:61-74.
41. Xian G., Homer C., Fry J. Updating the 2001 National Land Cover Database land cover classification to 2006 by using Landsat imagery change detection methods. Remote Sens. Environ. 2009, 113(6):1133-1147.
42. Zhang X.L., Zhang L.M., Li Z.H. Variety of quantity concentrations and size distributions of inhalation particulates in Nanjing, Jiangsu. Environ. Sci. Technol. 2003, 16(4):33-34.
43. 2 over China. Adv. Atmos. Sci. 2005, 22:58-68.
44. Zhou W., Ji S., Chen T.H., Hou Y., Zhang K. The 2011 heat wave in Greater Houston: effects of land use on temperature. Environ. Res. 2014, 135:81-87.