Comprehensive analysis of changes to catchment slope properties in the high-sediment region of the Loess Plateau, 1978–2010

Zhou, Xu; Yang, Shengtian; Liu, Xiaoyan; Liu, Changming; Zhao, Chang; Zhao, Hongchang; Zhou, Qiuwen; Wang, Zhiwei

doi:10.1007/s11442-015-1179-6

Cited by 4 publications

(4 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To fully cover the relatively large study area, images for different days were collected and used to address the influence of cloud cover and satellite orbit. To minimize the errors caused by the imaging times of adjacent NDVI images, an adjacent image regression analysis, as described in Zhou et al (2015), was adopted. The accuracy of the resulting VFC for the three periods was assessed using the methodology of Zhou et al (2015) and the result indicated that the overall accuracy was more than 86%.…”

Section: Vfcmentioning

confidence: 99%

“…To minimize the errors caused by the imaging times of adjacent NDVI images, an adjacent image regression analysis, as described in Zhou et al (2015), was adopted. The accuracy of the resulting VFC for the three periods was assessed using the methodology of Zhou et al (2015) and the result indicated that the overall accuracy was more than 86%. In addition, the accuracy of data obtained for land use and VFC was also identified and accepted at a meeting held by experts from the Yellow River Conservancy Commission of the Ministry of Water Resources at Zhengzhou city in China.…”

Section: Vfcmentioning

confidence: 99%

See 1 more Smart Citation

Dynamic identification of soil erosion risk in the middle reaches of the Yellow River Basin in China from 1978 to 2010

2018

Self Cite

View full text Add to dashboard Cite

Soil erosion has become a significant environmental problem that threatens ecosystems globally. The risks posed by soil erosion, the trends in the spatial distribution in soil erosion, and the status, intensity, and conservation priority level in the middle reaches of the Yellow River Basin were identified from 1978 to 2010. This study employed a multi-criteria evaluation method integrated with GIS and multi-source remote sensing data including land use, slope gradient and vegetation fractional coverage (VFC). The erosion status in the study region improved from 1978 to 2010; areas of extremely severe, more severe, and severe soil erosion decreased from 0.05%, 0.94%, and 11.25% in 1978 to 0.04%, 0.81%, and 10.28% in 1998, respectively, and to 0.03%, 0.59%, and 6.87% in 2010, respectively. Compared to the period from 1978 to 1998, the area classed as improvement grade erosion increased by about 47,210.18 km 2 from 1998 to 2010, while the area classed as deterioration grade erosion decreased by about 17,738.29 km 2. Almost all severe erosion regions fall in the 1st and 2nd conservation priority levels, which areas accounted for 3.86% and 1.11% of the study area in the two periods, respectively. This study identified regions where soil erosion control is required and the results provide a reference for policymakers to implement soil conservation measures in the future.

show abstract

Section: Vfcmentioning

confidence: 99%

Section: Vfcmentioning

confidence: 99%

Dynamic identification of soil erosion risk in the middle reaches of the Yellow River Basin in China from 1978 to 2010

2018

Self Cite

View full text Add to dashboard Cite

show abstract

“…Several studies have analyzed the ET 0 change and the attribution of climate variables to the ET 0 change trend under climate change in South Korea, Slovenia, Egypt, West Africa and China [12][13][14][15][16][17], and different regions showed both increasing or decreasing change trends of ET 0 . Many of these studies only analyzed the ET 0 for historical climatic data and lacked analysis for future periods under climate change.…”

Section: Introductionmentioning

confidence: 99%

Change Trend and Attribution Analysis of Reference Evapotranspiration under Climate Change in the Northern China

Guo,

Olesen,

Manevski

et al. 2023

Agronomy

View full text Add to dashboard Cite

Reference evapotranspiration (ET0), an essential variable used to estimate crop evapotranspiration, is expected to change significantly under climate change. Detecting and attributing the change trend in ET0 to underlying drivers is therefore important to the adoption of agricultural water management under climate change. In this study, we focus on a typical agricultural region of the Fenwei Plain in northern China and use the Mann–Kendall test and contribution rate to detect the change and trend in ET0 at annual and seasonal scales and determine the major contribution factors to ET0 change for the baseline period (1985–2015) and the future period (2030–2060) based on high-resolution gridded data and climatic data from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The results indicate that the annual ET0 of the Fenwei Plain showed a significant decreasing trend in the baseline period but insignificant and significant increasing trends in the future period under the SSP245 and SSP585 scenarios, respectively. The annual ET0 of the plain under the SSP245 and SSP585 scenarios increase by 4.6% and 3.0%, respectively, compared to the baseline period. The change and trend in ET0 between the four seasons are different in the baseline and future periods. Winter and autumn show clear increases in ET0. VPD is the major contribution factor to the ET0 change in the plain. The change in ET0 is mainly driven by the climatic variables that change the most rather than by the climatic variables that are the most sensitive to the ET0 change. The change and trend in ET0 in the plain showed clear spatial differences, especially between the eastern and western area of the plain. To adapt to the impact of climate change on ET0, the irrigation schedule of the crops cultivated in the plain, the cropping system and management of the irrigation district in the plain need to be adjusted according to the change characteristics of spatial and temporal ET0 in the future. These results contribute to understanding the impacts of climate change on evapotranspiration in the study region and provide spatial and temporal references for adaptation in managing agricultural water use and crop cultivation under climate change.

show abstract

“…Rasmussen et al (2012) used the theory of system dynamics to study dynamic trends of land use. However, these methods based on the optimal allocation of single resources may cause negative impacts on the complex overall system of water and land resources, such as the overexploitation of groundwater, a decrease in the quantity of cultivated land or a decrease in soil quality (Li et al 2015;Zhou et al 2015). Therefore, it is necessary to study the joint optimization of the allocation of water and land resources (Tamene et al 2014;Sun et al 2013;Liu et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application

Cheng

Chen

et al. 2015

Water Resour Manage

View full text Add to dashboard Cite

Currently, water and land resources are treated as separate resources in allocation optimization for complex systems of water and land resources, which may have negative impacts on these water-land resource systems. In our study, an adaptive allocation model was established for a complex system of regional water and land resources using complex adaptive systems theory. The users of water and land resources were treated as adaptive agents, and the competition and synergy among various agents toward water and land resources were used as the driving forces for the evolution of the model. The model was accurately solved using a nested genetic algorithm to achieve the optimal joint allocation of regional water and land resources. A case study was conducted in the city of Kiamusze in Heilongjiang Province, and the results indicated that the evolution of the model was consistent with the actual behaviors of Water Resour Manage (2015) 29:4977-4993Highlights 1 Optimized joint allocation of regional water and land resources was achieved based on the theory of a complex adaptive system, and the application scope of the complex adaptive system theory was expanded. 2 The amount of information carried by the adaptive agent was measured using information entropy in a uniform manner. 3 The competition and synergy toward resources of agents of all levels in the complex system of water and land resources were used as the driving force of the model evolution. 4 An accurate solution of the multi-dimensional model was derived using a nested genetic algorithm. adaptive agents. Moreover, after the implementation of the optimized allocation results, the economic benefits in the study area were expected to increase by 3.34 %, and the comprehensive user satisfaction index regarding water increased from 0.61 to 0.73; moreover, the ecological footprint of the ecological sector increased by 5.6 %. Our results provide important guidance for achieving the sustainable use of regional water and land resources.

show abstract

Comprehensive analysis of changes to catchment slope properties in the high-sediment region of the Loess Plateau, 1978–2010

Cited by 4 publications

References 23 publications

Dynamic identification of soil erosion risk in the middle reaches of the Yellow River Basin in China from 1978 to 2010

Dynamic identification of soil erosion risk in the middle reaches of the Yellow River Basin in China from 1978 to 2010

Change Trend and Attribution Analysis of Reference Evapotranspiration under Climate Change in the Northern China

Adaptive Allocation Modeling for a Complex System of Regional Water and Land Resources Based on Information Entropy and its Application

Contact Info

Product

Resources

About