Ecological Safety Assessment and Analysis of Regional Spatiotemporal Differences Based on Earth Observation Satellite Data in Support of SDGs: The Case of the Huaihe River Basin

Terrestrial ecosystems provide a variety of benefits for human life and production, and are a key link for achieving sustainable development goals (SDGs). The basin ecosystem is one type of terrestrial ecosystem. Ecological security (ES) assessments are an important component of the overall strategy to achieve regional sustainable development. The Huaihe River Basin (HRB) has the common characteristics of most basins, such as high population density, a rapidly developing economy, and many environmental problems. This study constructed an ES evaluation system by applying a pressure-state-response framework as an assessment method for the sustainable development of basins. Taking the HRB as an example, this study determined the ES status of the region from 2001 to 2019 and analyzed crucial factors for any variation observed by combining remote sensing and climate data, relevant policies, and spatial information technology. The results highlight the importance of reserves and the negative impact of urban expansion on ES. Additionally, the enactment of policies had a positive impact on ES, whereas precipitation had a negative effect on ES in most areas of the HRB. Based on these results, the government should strengthen the protection of forests, grasslands, and wetlands and improve water conservation facilities. This study provides guidance for the subsequent economic development, environmental protection, and the achievements of SDG 15 in the HRB.

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Study of Urban System Spatial Interaction Based on Microblog Data: A Case of Huaihe River Basin, China

Scientific Programming ◽

10.1155/2019/2074329 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9

Author(s):

Yong Fan ◽

Juhui Yao ◽

Zongyi He ◽

Biao He ◽

Minmin Li

Keyword(s):

River Basin ◽

Spatial Information ◽

Spatial Interaction ◽

Network Connectivity ◽

Urban System ◽

Spatial Relation ◽

Huaihe River Basin ◽

Huaihe River ◽

The Huaihe River ◽

Socioeconomic Data

The spatial interaction of urban system has been an hot research issue in the field of urban research. In this paper, user’s microblog spatial information data were used to discern the spatial structure of an urban area. Firstly, Sina Weibo microblog data for 2011–2015 were used to establish a thematic database of cities along the Huaihe River Basin, China. Secondly, network connectivity, inflow, and outflow of three indicator systems were analyzed. Finally, combining this database with socioeconomic data, experimental verification and comparative analysis were carried out. The study found that the urban spatial relation in the Huaihe River Basin has the following characteristics: the spatial difference of urban size distribution is obvious; urban layout presents a stratified aggregation phenomenon; and the high-grade cities lead the city’s interaction. The research shows that this method of data mining for urban interaction in the Huaihe River Basin is valid and that this research into urban spatial patterns of river basins is applicable to other areas.

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Hydrological simulation using multi-sources precipitation estimates in the Huaihe River Basin

Arabian Journal of Geosciences ◽

10.1007/s12517-021-08254-1 ◽

2021 ◽

Vol 14 (18) ◽

Author(s):

Mohammad Ilyas Abro ◽

Dehua Zhu ◽

Ehsan Elahi ◽

Asghar Ali Majidano ◽

Bhai Khan Solangi

Keyword(s):

River Basin ◽

Huaihe River Basin ◽

Huaihe River ◽

Hydrological Simulation ◽

Precipitation Estimates ◽

The Huaihe River

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Atmospheric-hydrological modeling of severe precipitation and floods in the Huaihe River Basin, China

Journal of Hydrology ◽

10.1016/j.jhydrol.2006.03.028 ◽

2006 ◽

Vol 330 (1-2) ◽

pp. 249-259 ◽

Cited By ~ 28

Author(s):

Charles A. Lin ◽

Lei Wen ◽

Guihua Lu ◽

Zhiyong Wu ◽

Jianyun Zhang ◽

...

Keyword(s):

River Basin ◽

Hydrological Modeling ◽

Huaihe River Basin ◽

Huaihe River ◽

The Huaihe River

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Investigation on flood event variations at space and time scales in the Huaihe River Basin of China using flood behavior classification

Journal of Geographical Sciences ◽

10.1007/s11442-020-1827-3 ◽

2020 ◽

Vol 30 (12) ◽

pp. 2053-2075

Author(s):

Yongyong Zhang ◽

Qiutan Chen ◽

Jun Xia

Keyword(s):

River Basin ◽

Time Scales ◽

Flood Event ◽

Huaihe River Basin ◽

Huaihe River ◽

Space And Time ◽

The Huaihe River

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Improving TIGGE Precipitation Forecasts Using an SVR Ensemble Approach in the Huaihe River Basin

Advances in Meteorology ◽

10.1155/2018/7809302 ◽

2018 ◽

Vol 2018 ◽

pp. 1-15 ◽

Cited By ~ 4

Author(s):

Chenkai Cai ◽

Jianqun Wang ◽

Zhijia Li

Keyword(s):

River Basin ◽

Lead Time ◽

Flood Control ◽

Ensemble Methods ◽

New Method ◽

Support Vector ◽

Huaihe River Basin ◽

Huaihe River ◽

Reservoir Regulation ◽

The Huaihe River

Recently, the use of the numerical rainfall forecast has become a common approach to improve the lead time of streamflow forecasts for flood control and reservoir regulation. The control forecasts of five operational global prediction systems from different centers were evaluated against the observed data by a series of area-weighted verification and classification metrics during May to September 2015–2017 in six subcatchments of the Xixian Catchment in the Huaihe River Basin. According to the demand of flood control safety, four different ensemble methods were adopted to reduce the forecast errors of the datasets, especially the errors of missing alarm (MA), which may be detrimental to reservoir regulation and flood control. The results indicate that the raw forecast datasets have large missing alarm errors (MEs) and cannot be directly applied to the extension of flood forecasting lead time. Although the ensemble methods can improve the performance of rainfall forecasts, the missing alarm error is still large, leading to a huge hazard in flood control. To improve the lead time of the flood forecast, as well as avert the risk from rainfall prediction, a new ensemble method was proposed on the basis of support vector regression (SVR). Compared to the other methods, the new method has a better ability in reducing the ME of the forecasts. More specifically, with the use of the new method, the lead time of flood forecasts can be prolonged to at least 3 d without great risk in flood control, which corresponds to the aim of flood prevention and disaster reduction.

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Spatial Pattern and Evolution of Urban System Based on Gravity Model and Whole Network Analysis in the Huaihe River Basin of China

Discrete Dynamics in Nature and Society ◽

10.1155/2018/3698071 ◽

2018 ◽

Vol 2018 ◽

pp. 1-11 ◽

Cited By ~ 3

Author(s):

Yong Fan ◽

Shengdi Zhang ◽

Zongyi He ◽

Biao He ◽

Haicong Yu ◽

...

Keyword(s):

Network Analysis ◽

Spatial Pattern ◽

Gravity Model ◽

River Basin ◽

Urban System ◽

Huaihe River Basin ◽

Analysis Method ◽

Huaihe River ◽

Research Issues ◽

The Huaihe River

The spatial pattern and evolution of urban system have been hot research issues in the field of urban research. In this paper, the network analysis method based on the gravity model and the related measurements were used to reveal the properties of the spatial pattern and evolution of the urban system in the HRB (Huaihe River Basin) of China. The findings of this study are as follows: During the period from 2006 to 2014, the economic contact between the HRB cities has been strengthened, but the differences between cities have been expanding. In general, the HRB cities have not yet formed a close network structure, and a trend of economic integration has not been found. This paper expresses the spatial pattern and evolution of urban system in an intuitive way and helps to explain the evolution mechanism of urban system. The method was confirmed by empirical research. Because of the operational and visual expression, this method has broad application prospects in the urban system research.

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Drought assessment using a multivariate drought index in the Huaihe River basin of Eastern China

Proceedings of the International Association of Hydrological Sciences ◽

10.5194/piahs-369-61-2015 ◽

2015 ◽

Vol 369 ◽

pp. 61-67

Author(s):

Q. Li ◽

M. Zeng ◽

H. Wang ◽

P. Li ◽

K. Wang ◽

...

Keyword(s):

River Basin ◽

Drought Index ◽

Eastern China ◽

Standardized Precipitation Index ◽

Cumulative Distribution ◽

Huaihe River Basin ◽

Huaihe River ◽

Drought Assessment ◽

The Huaihe River ◽

Multivariate Drought Index

Abstract. The Huaihe River Basin having China's highest population density (662 persons per km2) lies in a transition zone between the climates of North and South China, and is thus prone to drought. Therefore, the paper aims to develop an appropriate drought assessment approach for drought assessment in the Huaihe River basin, China. Based on the Principal Component Analysis of precipitation, evapotranspiration, soil moisture and runoff, the three latter variables of which were obtained by use of the Xin'anjiang model, a new multivariate drought index (MDI) was formulated, and its thresholds were determined by use of cumulative distribution function. The MDI, the Standardized Precipitation Index (SPI) and the self-calibrating Palmer Drought Severity Index (sc-PDSI) time series on a monthly scale were computed and compared during 1988, 1999/2000 and 2001 drought events. The results show that the MDI exhibited certain advantages over the sc-PDSI and the SPI in monitoring drought evolution. The MDI formulated by this paper could provide a scientific basis for drought mitigation and management, and references for drought assessment elsewhere in China.

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