Abstract

Resettlement affects not only the resettlers’ production activities and life but also, directly or indirectly, the normal operation of power stations, the sustainable development of the resettlers, and regional social stability. Therefore, a scientific evaluation index system for the sustainable development of reservoir resettlement must be established that fits Chinese national conditions and not only promotes reservoir resettlement research but also improves resettlement practice. This essay builds an evaluation index system for resettlers’ sustainable development based on a back-propagation (BP) neural network, which can be adopted in China, taking the resettlement necessitated by step hydropower stations along the Wujiang River cascade as an example. The assessment results show that the resettlement caused by step power stations along the Wujiang River is sustainable, and this evaluation supports the conclusion that national policies and regulations, which are undergoing constant improvement, and resettlement has increasingly improved. The results provide a reference for hydropower reservoir resettlement in developing countries.

Highlights

  • As one of the main types of resettlement necessitated by development projects, the resettlement caused by reservoir building is an unavoidable problem in water conservancy and hydropower engineering projects

  • To construct an evaluation index system, this paper evaluates the sustainable development of reservoir resettlement based on BP neural network

  • This paper contributes to the literature from the following perspectives: (1) This paper develops an evaluation system for resettlers’ sustainable development, including an evaluation index system and an evaluation method system based on a back-propagation (BP) neural network; (2) This paper adopts the evaluation system in China and takes the resettlement necessitated by step hydropower stations along the Wujiang River cascade as an example; (3) The assessment results show that the resettlement caused by step power stations along the Wujiang River is sustainable, and this evaluation supports the conclusion that national policies and regulations, which are undergoing constant improvement, and resettlement are increasingly improving

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Summary

Introduction

As one of the main types of resettlement necessitated by development projects, the resettlement caused by reservoir building is an unavoidable problem in water conservancy and hydropower engineering projects. With the continuous practice of resettlement development policies, scholars’ focus has changed gradually from research on compensation standards, resettlement means, relevant policies, and work mechanisms to the evaluation of the resettlement effect, post-placement support and sustainable development [8]. Many scholars have focused on reservoir resettlement evaluation; at the same time, many have discussed the long-term livelihood problems of reservoir resettlement from the perspective of sustainable development [9,10] and, based on the resettlement effect, proposed a series of solutions for the migrants’ livelihood issues [11], such as strengthening their employment skill training, providing technical support for characteristic planting, improving their living and education conditions and providing shop-front spaces. Based on the characteristics of different projects, regions and types of resettlement, an evaluation index system for evaluating the sustainable development of reservoir resettlement is constructed in this paper [20,21,22]. Establishment of an Evaluation Index System for Resettlers’ Sustainable Development

Principles of Index System Building
Index System and Index Interpretation
Data Collection and Preprocessing
In Figure
Case Analysis
Sample Selection and Data Collection
Ascertaining BP Neural Network Neurons
Neural Network Training and Assessment
Findings
Conclusions
Full Text
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