Land use/land cover change in Yellow River Delta, China during fast development period

Zhou, Wenzuo; Tian, Yuan; Zhu, Liujun

doi:10.1117/12.734015

Cited by 3 publications

(4 citation statements)

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“…In recent decades, the Huanghe River Delta has experienced extensive agricultural and industrial development (Zhou et al, 2007;Wang et al, 2011;Zhang et al, 2011). Large portions of the grassland and wilderness have been cultivated with salttolerant crops and grasses, such as cotton, maize, clover and Chinese date, and the wide foreshore areas have been exploited as extensive shrimp ponds and salt pans (Zhou et al, 2007).…”

Section: Study Areamentioning

confidence: 99%

Mapping soil salinity using a similarity-based prediction approach: A case study in Huanghe River Delta, China

et al. 2015

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Spatial distribution of soil salinity can be estimated based on its environmental factors because soil salinity is strongly affected and indicated by environmental factors. Different with other properties such as soil texture, soil salinity varies with short-term time. Thus, how to choose powerful environmental predictors is especially important for soil salinity. This paper presents a similarity-based prediction approach to map soil salinity and detects powerful environmental predictors for the Huanghe (Yellow) River Delta area in China. The similarity-based approach predicts the soil salinities of unsampled locations based on the environmental similarity between unsampled and sampled locations. A dataset of 92 points with salt data at depth of 30-40 cm was divided into two subsets for prediction and validation. Topographical parameters, soil textures, distances to irrigation channels and to the coastline, land surface temperature from Moderate Resolution Imaging Spectroradiometer (MODIS), Normalized Difference Vegetation Indices (NDVIs) and land surface reflectance data from Landsat Thematic Mapper (TM) imagery were generated. The similarity-based prediction approach was applied on several combinations of different environmental factors. Based on three evaluation indices including the correlation coefficient (CC) between observed and predicted values, the mean absolute error and the root mean squared error we found that elevation, distance to irrigation channels, soil texture, night land surface temperature, NDVI, and land surface reflectance Band 5 are the optimal combination for mapping soil salinity at the 30-40 cm depth in the study area (with a CC value of 0.69 and a root mean squared error value of 0.38). Our results indicated that the similarity-based prediction approach could be a vital alternative to other methods for mapping soil salinity, especially for area with limited observation data and could be used to monitor soil salinity distributions in the future.

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Section: Study Areamentioning

confidence: 99%

Mapping soil salinity using a similarity-based prediction approach: A case study in Huanghe River Delta, China

et al. 2015

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“…Moreover, local policies tend to encourage development of saline aquaculture to gain more profits. As a result, the coastal zone has undergone a rapid land use transition from wilderness and salt marshes of foreshores to saline aquacultural ponds reported by Zhou et al (2007) (also see Appendix B). Such policies may cause serious secondary salinization in the future.…”

Section: Anthropogenic Effects On Salinization In the Yrdmentioning

confidence: 92%

“…Shengli Oil-field, the second largest oil-field in China, has more than twenty thousand wells spread all over the YRD since the first well was drilled in 1964 (Gong et al, 2004). Large-scale agricultural production has been developed simultaneously with the policy that the Chinese central government planned to develop comprehensive agriculture in the YRD (Zhou et al, 2007). Large part of grassland and wilderness has been cultivated with salt-tolerant crops and grass, such as cotton, maize, clover and Chinese date, and wide foreshore areas have been exploited as extensive shrimp ponds and salt pans (Zhou et al, 2007).…”

Section: Study Areamentioning

confidence: 99%

“…Large-scale agricultural production has been developed simultaneously with the policy that the Chinese central government planned to develop comprehensive agriculture in the YRD (Zhou et al, 2007). Large part of grassland and wilderness has been cultivated with salt-tolerant crops and grass, such as cotton, maize, clover and Chinese date, and wide foreshore areas have been exploited as extensive shrimp ponds and salt pans (Zhou et al, 2007). Other human activities, such as construction of irrigation system and road network, are proceeding greatly along with the development of agriculture and industry (Zhou et al, 2007).…”

Section: Study Areamentioning

confidence: 99%

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Assessing impact of land uses on land salinization in the Yellow River Delta, China using an integrated and spatial statistical model

et al. 2011

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Remote Monitoring of Expansion of Aquaculture Ponds Along Coastal Region of the Yellow River Delta from 1983 to 2015

et al. 2018

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Aquaculture ponds are one of the fastest-growing land use types in valuable and fertile coastal areas and have caused serious environmental problems. Quantitative assessment of the extent, spatial distribution, and dynamics of aquaculture ponds is of utmost importance for sustainable economic development and scientific management of land and water resources in the coastal area. An object-oriented classification approach was applied to Landsat images acquired over three decades to investigate the long-term change of aquaculture ponds in the coastal region of the Yellow River Delta. The results indicated that the aquaculture ponds in the study area undergone a sharp expansion from 40.38 km 2 in 1983 to 1406.89 km 2 in 2015, and the fast expansion occurred during the period of 2010-2015 and 1990-2000. Natural wetlands, especially mudflat, and cropland were main land use types contributing to the increase of aquaculture ponds. The patches of aquaculture ponds were consequently prevalence in the north of the Yellow River Estuary and landscape metrics indicated an increase of the aquaculture ponds of the study area in the quantity and complexity. The expansion of aquaculture ponds inevitably had negative effects on the coastal environment, including loss of natural wetlands, water pollution and land subsidence, etc. The results from this study provide baseline data and valuable information for efficiently planning and managing aquaculture practices and for effectively implementing adequate regulations and protection measures.

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Land use/land cover change in Yellow River Delta, China during fast development period

Cited by 3 publications

References 0 publications

Mapping soil salinity using a similarity-based prediction approach: A case study in Huanghe River Delta, China

Mapping soil salinity using a similarity-based prediction approach: A case study in Huanghe River Delta, China

Assessing impact of land uses on land salinization in the Yellow River Delta, China using an integrated and spatial statistical model

Remote Monitoring of Expansion of Aquaculture Ponds Along Coastal Region of the Yellow River Delta from 1983 to 2015

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