Abstract
To provide scientific basis for utilizing wetland resources, the drought conditions of different wetland types were evaluated in the Yellow River Delta. Based on the wetlands classification map, the difference in water and heat flux was studied, as well as the drought conditions in different wetlands. The relationship between the retrieved land surface temperature (LST) and evapotranspiration (ET) was analyzed through two section profiles in different directions using Geographic Information System (GIS) tools. The LST is relatively lower and the ET is relatively higher in areas mostly covered by wetlands of bush swamp, water body, saltern, and waterlogged lowland. On the whole, the ET values increase from inland to coastal areas, and the corresponding drought index decreases. There is a close negative correlation between ET and the regional water index (RWSI). The coefficients of the regression equations presented by different land use types such as swamp, built area, bush swamp, dry farmland, cultural pond, and other wetland types have slight differences. Generally, the non-wetland areas still show a large RWSI value, though the ET is relatively small. On the contrary, the artificial wetland is subjected to lower drought risk as indicated by its lower RWSI in spite of the high ET level. The RWSI of some natural wetland areas is larger than that of artificial ones, which indicates that proper utilization can reduce the drought risk to a certain extent in natural wetlands. Results showed that reasonable development of wetland resources may alleviate regional drought conditions.
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Data Availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
References
Ardón M, Helton AM, Bernhardt ES (2016) Drought and saltwater incursion synergistically reduce dissolved organic carbon export from coastal freshwater wetlands. Biogeochemistry 127(2):1–16. https://doi.org/10.1007/s10533-016-0189-5
Azmi M, Christoph Rüdiger, Walker JP (2016) A data fusion‐based drought index. Water Resoures 52(3). https://doi.org/10.1002/2015WR017834
Bai J, Zhao Q, Lu Q, Wang J, Reddy KR (2015) Effects of freshwater input on trace element pollution in salt marsh soils of a typical coastal estuary, China. Journal of Hydrology 520:186–192. https://doi.org/10.1016/j.jhydrol.2014.11.007
Baruch Z (1994) Responses to drought and flooding in tropical forage grasses. I.Biomass allocation, leaf growth and mineral nutrients. Plant Soil 164:97–105. https://doi.org/10.1007/BF00010115
Bastiaanssen WGM, Menenti M, Feddes RA (1998) A remote sensing surface energy balance algorithm for land (SEBAL) – 1. Formulation. Journal of Hydrology 212:198–212. https://doi.org/10.1016/S0022-1694(98)00253-4
Bellamy D, Bellamy R (1966) An ecological approach to the classification of the lowland mires of Ireland. Proceedings of the Royal Irish Academy. Section B: Biological, Geological, and Chemical Science 65(19):237–251. https://doi.org/10.1111/j.1444-0938.1947.tb02579.x
Beuel S, Alvarez M, Amler E, Behn K, Kotze D, Kreye C, Leemhuis C, Wagner K, Willy DK, Ziegler S (2016) A rapid assessment of anthropogenic disturbances in East African Wetlands. Ecological Indicators 67:684–692. https://doi.org/10.1016/j.ecolind.2016.03.034
Bi N, Wang H, Yang Z (2014) Recent changes in the erosion–accretion patterns of the active huanghe (yellow river) delta lobe caused by human activities. Continental Shelf Research 90:70–78. https://doi.org/10.1016/j.csr.2014.02.014
Blum MD, Roberts HH (2009) Drowning of the mississippi delta due to insufficient sediment supply and global sea-level?rise. Nature Geoscience 2(7):488–491. https://doi.org/10.1038/ngeo553
Boergens E, Güntner A, Dobslaw H, Dahle C (2020) Quantifying the Central European Droughts in 2018 and 2019 With GRACE Follow‐On. Geophysical Research Letters 47(14). https://doi.org/10.1029/2020GL087285
Burba GG, Verma SB, Kim J (1999) Surface energy fluxes of phragmites australis in a prairie wetland. Agricultural and Forest Meteorology 94(1):0–51. https://doi.org/10.1016/s0168-1923(99)00007-6
Buyadi SNA, Wan MNWM, Misni A (2013) Impact of land use changes on the surface temperature distribution of area surrounding the National Botanic Garden, Shah Alam. Procedia - Social and Behavioral Sciences 101:516–525. https://doi.org/10.1016/j.sbspro.2013.07.225
Chatterjee K, Bandyopadhyay A, Ghosh A, Kar S (2015) Assessment of environmental factors causing wetland degradation using Fuzzy Analytic Network Process: a case study on Keoladeo National Park, India. Ecological Modelling 316:1–13. https://doi.org/10.1016/j.ecolmodel.2015.07.029
Chen XL, Zhao HM, Li PX, Yin ZY (2006) Remote sensing image-based analysis of the relationship between urban heat island and land use/cover changes. Remote Sensing of Environment 104(2):133–146. https://doi.org/10.1016/j.rse.2005.11.016
Cowardin LM, Carter V, Golet FC, LaRoe ET (1979) Classification of Wetlands and Deepwater Habitats of the United States.U.S. Department of the Interior, Fish and Wildlife Service, Washington, DC
Cui B, Tang N, Zhao X, Bai J (2009a) A management-oriented valuation method to determine ecological water requirement for wetlands in the Yellow River Delta of China. Journal for Nature Conservation 17:129–141. https://doi.org/10.1016/j.jnc.2009.01.003
Cui B, Yang Q, Yang Z, Zhang K (2009b) Evaluating the ecological performance of wetland restoration in the Yellow River Delta, China. Ecological Engineering 35:1090–1103. https://doi.org/10.1016/j.ecoleng.2009.03.022
Dai A (2013) Increasing drought under global warming in observations and models. Nature Climate Change 3(2):171–171. https://doi.org/10.1038/nclimate1811
Fan X, Pedroli B, Liu G, Liu Q, Liu H, Shu L (2012) Soil salinity development in the yellow river delta in relation to groundwater dynamics. Land Degradation & Development 23:175–189. https://doi.org/10.1002/ldr.1071
Fensholt R, Sandholt I (2003) Derivation of a shortwave infrared water stress index from MODIS near- and shortwave infrared data in a semiarid environment. Remote Sensing of Environment 87(1):111–121. https://doi.org/10.1016/j.rse.2003.07.002
Gao ZQ, Gao W, Chang NB (2011a) Integrating temperature vegetation dryness index (tvdi) and regional water stress index (rwsi) for drought assessment with the aid of landsat tm/etm+ images. International Journal of Applied Earth Observation and Geoinformation 13(3):0–503. https://doi.org/10.1016/j.jag.2010.10.005
Gao ZQ, Liu CS, Gao W, Chang NB (2011b) A coupled remote sensing and the surface energy balance with topography algorithm (sebta) to estimate actual evapotranspiration over heterogeneous terrain. Hydrology and Earth System Sciences 15(1):119–139. https://doi.org/10.5194/hess-15-119-2011
Gao M, Liu S, Zhao G, Yuan H, Wei C, Wu Y, Tang J (2014) Vulnerability of eco-hydrological environment in the yellow river delta wetland. Journal of Coastal Research 294(2):344–350. https://doi.org/10.2112/jcoastres-d-13-00016.1
Glooschenko WA (1993) Wetlands of Canada and greeland. In: Whigham D F. Wetland of World: Inventory, Ecology and Management[M]. Kluwer Acadetmic Publishers, USA. 415–514
Han G, Yang L, Yu J, Wang G, Mao P, Gao Y (2013) Environmental controls on net ecosystem CO2 exchange over a reed (Phragmites australis) wetland in the Yellow River Delta, China. Estuaries Coasts 36:401–413. https://doi.org/10.1007/s12237-012-9572-1
Hu Y, Schmidhalter U (2005) Drought and salinity: a comparison of their effects on mineral nutrition of plants. Journal of Plant Nutrition and Soil Science 168(4):541–549. https://doi.org/10.1002/jpln.200420516
Jackson RD (1983) Estimation of daily evapotranspiration from one time-day measurements. Agricultural Water Management 7(1):351–362. https://doi.org/10.1016/0378-3774(83)90095-1
Jackson RD, Idso SB, Reginato RJ, Pinter PJ (1981) Canopy temperature as a crop water stress indicator. Water Resources Research 17(4):1133–1138. https://doi.org/10.1029/WR017i004p01133
Jia J, Huang C, Bai J, Zhang G, Zhao Q, Wen X (2017) Effects of drought and salt stresses on growth characteristics of euhalophyte suaeda salsa in coastal wetlands. Physics and Chemistry of the Earth, Parts A/B/C, S1474706516301516. https://doi.org/10.1016/j.pce.2017.01.002
Jiang W, Lv J, Wang C, Chen Z, Liu Y (2017) Marsh wetland degradation risk assessment and change analysis: a case study in the Zoige Plateau, China. Ecological Indicators 82:316–326. https://doi.org/10.1016/j.ecolind.2017.06.059
Jin Y, Yang W, Sun T, Yang Z, Li M (2016) Effects of seashore reclamation activities on the health of wetland ecosystems: a case study in the Yellow River Delta, China. Ocean & Coastal Management 123:44–52. https://doi.org/10.1016/j.ocecoaman.2016.01.013
Karimi M, Shahedi K, Raziei T et al (2022) Meteorological and agricultural drought monitoring in Southwest of Iran using a remote sensing-based combined drought index. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-022-02220-3
Kogan FN (1995) Application of vegetation index and brightness temperature for drought detection. Advances in Space Research 15(11):91–100. https://doi.org/10.1016/0273-1177(95)00079-t
Kong D, Miao C, Borthwick AGL, Duan Q, Liu H, Sun Q, Ye A, Di Z, Gong W (2015) Evolution of the yellow river delta and its relationship with runoff and sediment load from 1983 to 2011. Journal of Hydrology 520:157–167. https://doi.org/10.1016/j.jhydrol.2014.09.038
Kumar D, Shekhar S (2015) Statistical analysis of land surface temperature–vegetation indexes relationship through thermal remote sensing. Ecotoxicology and Environmental Safety 121:39–44. https://doi.org/10.1016/j.ecoenv.2015.07.004
Li D, Chen S, Guan L, Lloyd H, Liu Y, Lv J, Zhang Z (2011) Patterns of waterbird community composition across a natural and restored wetland landscape mosaic, Yellow River Delta, China. Estuarine, Coastal and Shelf Science 91:325–332. https://doi.org/10.1016/j.ecolind.2014.01.038
Malekmohammadi B, Blouchi LR (2014) Ecological risk assessment of wetland ecosystems using multi criteria decision making and geographic information system. Ecological Indicators 41:133–144. https://doi.org/10.1016/j.ecolind.2014.01.038
Mcffters SK (1996) The use of the normalized difference water index (NDWI) in the delineation of open water features. International Journal of Remote Sensing 17(7):1425–1143. https://doi.org/10.1080/01431169608948714
Mckee TB, Doesken NJ, Kleist J (1993) The relationship of drought frequency and duration to time scales. Poceedings of the 8th Conference on Applied Climatology, American Meteorological Society, Anaheim, CA, Boston, MA, 17–22 January, 179–184
Mcmahon TA, Peel MC, Lowe L, Srikanthan R, Mcvicar TR (2013) Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis. Hydrology and Earth System Sciences 17(4):1331–1363. https://doi.org/10.5194/hess-17-1331-2013
Meng W, He M, Hu B, Mo X, Li H, Liu B et al (2017) Status of wetlands in china: a review of extent, degradation, issues and recommendations for improvement. Ocean & Coastal Management 146:50–59. https://doi.org/10.1016/j.ocecoaman.2017.06.003
Moran MS, Rahman AF, Washburne JC (1996) Combining the Penman-Monteith equation with measurements of surface temperature and reflectance to estimate evaporation rates of semiarid grassland. Agricultural and Forest Meteorology 80(2–4):87–109. https://doi.org/10.1016/0168-1923(95)02292-9
Morse A,Tasumi M,Allen RG, Kramber WJ (2000) Application of the SEBAL Methodology for Estimating Consumptive Use of Water and Streamflow Depletion in the Bear River Basin of Idaho through Remote Sensing. Final report submitted to the Raytheon Systems Company, Earth Observation System Data and Information system Project, by Idaho Department of Water Resources and University of Idaho
Narasimhan B, Srinivasan R (2005) Development and evaluation of Soil Moisture Deficit Index (SMDI) and Evapotranspiration Deficit Index (ETDI) for agricultural drought monitoring. Agricultural and Forest Meteorology 133(1–4):69–88. https://doi.org/10.1016/j.agrformet.2005.07.012
Ning J, Gao Z, Meng R et al (2018) Analysis of relationships between land surface temperature and land use changes in the Yellow River Delta. Frontiers of Earth Science 12(2):444–456. https://doi.org/10.1007/s11707-017-0657-9
Pal S, Ziaul Sk (2016) Detection of land use and land cover change and land surface temperature in English Bazar urban centre. The Egyptian Journal of Remote Sensing and Space Science 20(1):124–145. https://doi.org/10.1016/j.ejrs.2016.11.003
Palmer WC (1965) Meteorological Drought, Research paper 45 U.S. Department of Commerce, Weather bureau, Washington, DC
Qin Z, Karnieli A, Berliner P (2001) A mono-window algorithm for retrieving land surface temperature from landsat tm data and its application to the israel-egypt border region. International Journal of Remote Sensing 22(18):3719–3746. https://doi.org/10.1080/01431160010006971
Quiring SM (2010) Developing objective operational definitions for monitoring drought. Journal of Applied Meteorology and Climatology 48(6):1217. https://doi.org/10.1175/2009JAMC2088.1
Rajsekhar D, Singh VP, Mishra AK (2015) Multivariate drought index: AN information theory based approach for integrated drought assessment. Journal of Hydrology 526:164–182. https://doi.org/10.1016/j.jhydrol.2014.11.031
Shaw SP, Fredine CG (1956) Wetlands of the United States, Their Extent, and Their Value for Waterfowl and Other Wildlife. U.S. Department of Interior, fish and wildlife service, circular 39, Washington D C, p. 67
Sica Y, Quintana R, Radeloff V, Gavier-Pizarro G (2016) Wetland loss due to land use change in the Lower Paraná River Delta, Argentina. Science of The Total Environment 568:967–978. https://doi.org/10.1016/j.scitotenv.2016.04.200
Space Applications Centre (SAC) (2011) National Wetland Atlas. SAC, Indian Space Research Organisation, Ahmedabad
Syvitski JPM, Kettner AJ, Overeem I, Hutton EWH, Hannon MT, Brakenridge GR et al (2009) Sinking deltas due to human activities. Nature Geoscience 2(10):681–686. https://doi.org/10.1038/ngeo629
Trenberth KE, Dai A, Gerard V et al (2013) Global warming and changes in drought. Nature Climate Change 4(1):17–22. https://doi.org/10.1038/nclimate2067
Wang H, Yang Z, Saito Y, Liu JP, Sun X (2006) Interannual and seasonal variation of the huanghe (yellow river) water discharge over the past 50?years: connections to impacts from enso events and dams. Global Planet Change 50(3–4):0–225. https://doi.org/10.1016/j.gloplacha.2006.01.005
Wang M, Qi S, Zhang X (2012a) Wetland loss and degradation in the yellow river delta, Shandong province of China. Environmental Earth Sciences 67:185–188. https://doi.org/10.1007/s12665-011-1491-0
Wang XG, Lian Y, Huang C et al (2012b) Environmental flows and its evaluation of restoration effect based on LEDESS model in Yellow River Delta wetlands. Mitigation and Adaptation Strategies for Global Change 17:357–367. https://doi.org/10.1007/s11027-011-9330-x
Ward ND, Megonigal JP, Bond-Lamberty B et al (2020) Representing the function and sensitivity of coastal interfaces in Earth system models. Nature Communications 11(1):2458. https://doi.org/10.1038/s41467-020-16236-2
Waters R, Allen R, Bastiaanssen WGM (2002) SEBAL (Surface Energy Balance Algorithms for Land) Advanced Training and Users Manual, Version 1.0. August, 24–25
Xu H (2006) Modification of normalized difference water index (NDWI) to enhance open water features in remotely sensed imagery. International Journal of Remote Sensing 27(14):3025–3033. https://doi.org/10.1080/01431160600589179
Xu Y, Zhu X, Cheng X et al (2022) Drought assessment of China in 2002–2017 based on a c omprehensive drought index. Agricultural and Forest Meteorology 319(108922). https://doi.org/10.1016/j.agrformet.2022.108922
Zhang W, Lu Q, Song K, Qin G, Wang Y, Wang X, Li H, Li J, Liu G, Li H (2014) Remotely sensing the ecological influences of ditches in Zoige Peatland, eastern Tibetan Plateau. International Journal of Remote Sensing 35:5186–5197. https://doi.org/10.1080/01431161.2014.939779
Zhang H, Chen X, Luo Y, Zhang H (2016) An overview of ecohydrology of the yellow river delta wetland. Ecohydrology & Hydrobiology 16(1):39–44. https://doi.org/10.1016/j.ecohyd.2015.10.001
Zhang X, Wang G, Xue B, Zhang M, Tan Z (2021) Dynamic landscapes and the driving forces in the Yellow River Delta wetland region in the past four decades. Science of the Total Environment 787(2 Suppl):147644. https://doi.org/10.1016/j.scitotenv.2021.147644
Zhao D, Wang P, Zuo J, Zhang H, Ramesh RK (2017) Are the traditional large-scale drought indices suitable for shallow water wetlands? an example in the everglades. Journal of Environmental Management 198(Pt 1):240–247. https://doi.org/10.1016/j.jenvman.2017.04.078
Zhou R, Li Y, Wu J, Gao M, Wu X, Bi X (2017) Need to link river management with estuarine wetland conservation: A case study in the Yellow River Delta, China. Ocean & Coastal Management 146:43–49. https://doi.org/10.1016/j.ocecoaman.2017.06.004
Zibognon M, Crago R, Suleiman A (2002) Conversion of radiometric to aerodynamic surface temperature with an anisothermal canopy model. Water Resources Research 38(6). https://doi.org/10.1029/2001WR000484
Zuo D, Cai S, Xu Z et al (2018) Spatiotemporal patterns of drought at various time scales in Shandong Province of Eastern China. Theoretical and Applied Climatology 131:271–284. https://doi.org/10.1007/s00704-016-1969-5
Acknowledgements
This work was supported by Shandong Key Laboratory of Coastal Environmental Processes, YICCAS(2019SDHADKFJJ07), NSFC fund project (41876107), the National Key R&D Program of China(2019YFD0900705), NSFC fund project (31870468), Human and Social Science Project of Ministry of Education(17YJCZH174),Natural Science Foundation of Shandong Province(ZR2017MD015), and the Key Program of Shandong Natural Science Foundation, China (No. ZR2020KF031).
Funding
This research was funded by Shandong Key Laboratory of Coastal Environmental Processes, YICCAS(2019SDHADKFJJ07), NSFC fund project (41876107), the National Key R&D Program of China(2019YFD0900705), NSFC fund project (31870468), Human and Social Science Project of Ministry of Education (17YJCZH174),Natural Science Foundation of Shandong Province(ZR2017MD015), and the Key Program of Shandong Natural Science Foundation, China (No. ZR2020KF031).
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Ning, J., Gao, Z., Wu, X. et al. Analysis of Water Heat Flux and Drought based on Wetland Classification in the Yellow River Delta. Wetlands 43, 20 (2023). https://doi.org/10.1007/s13157-023-01666-7
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DOI: https://doi.org/10.1007/s13157-023-01666-7