A Systematic Bibliometric Review of Low Impact Development Research Articles

Abstract

The concept of low impact development (LID) plays a crucial role in rainstorm management and non-point source pollution prevention and control. Sorting and summarizing related research through the knowledge map can objectively present the disciplinary structure, research focus, and research hotspots of the LID research. Based on 2103 LID pieces of literature in Chinese and English included in the web of science (WOS) database and China’s integrated knowledge resources system (CNKI) database from 2004 to 2021, this paper aims to perform statistical analysis from three aspects: bibliometrics, keyword hotspot co-occurrence and clustering, and literature co-citation clustering. The obtained results reveal that research on LID-based issues maintains a high degree of enthusiasm in China and abroad, but their corresponding focuses are dissimilar. Foreign research essentially focuses on the environmental field with frequent interdisciplinary phenomena, combining the triple goals of water quality improvement, runoff reduction, and multi-functional expansion, and is committed to solving the impact of uncertain factors on urban stormwater management in extreme climates. Chinese research is mostly aimed at unlocking practical engineering problems, which also leads to the majority of research works in the field of building science and engineering. This is mainly due to a series of water-related problems caused by the change in land use types in China. The researchers have determined the type, quantity, location, and combination of the optimal LID measures by establishing appropriate models, using optimization algorithms, and developing multi-level analysis methods. Although the multi-dimensional results of LID in recent years have greatly expanded the framework paradigm, most of the conducted research works are still biased towards the micro-scale. The present hotspot research considers how to make a macroscopic overall layout and efficiently cooperate with the pipelines network, rivers, and lakes systems to unlock the problems pertinent to urban rainwater and non-point source pollution.

Evaluation of the Influence of Catchment Parameters on the Required Size of a Stormwater Infiltration Facility

“…The application of nature-based solutions is also important [26]. In the case of stormwater management, low-impact development (LID) facilities are particularly popular [27,28]. The concept of sponge cities is also gaining importance [29], and in many countries the focus is on blue-green infrastructure [30].…”

New Bioretention Drainage Channel as One of the Low-Impact Development Solutions: A Case Study from Poland

“…An integral part of the bioretention drainage channel is the filter-insert, the structure of which is shown in Figure 3. Inside the filter-insert, a drainage layer (11) is placed over the entire bottom surface, on which a non-woven filtering layer (12) is placed. Subsequent layers are the chemically active layer (13) and the layer of vegetation substrate with plants (14).…”

“…Traditional drainage systems, in which rainwater is treated as sewage/waste/a problem that should be disposed of as soon as possible, do not meet the above assumptions and are perceived as unsustainable [10]. One of the sustainable approaches in rainwater management is low-impact development (LID) [11]. LID refers to techniques and principles that aim to reduce stormwater runoff into sewers, recharge groundwater, increase infiltration, and protect rivers and watercourses.…”

Bioaerosols in Wastewater Treatment Plants: Trends, Recent Advances, and the Influence of SARS-CoV-2 Outbreak

“…This analysis examines content by investigating the distribution of frequently used keywords, aiming to shed light on the areas of strength within the disciplinary domains through an accurate depiction of keyword co-occurrence [81]. This co-occurrence network was constructed using VOSviewer software (version 1.6.19), with a specified minimum occurrence threshold value of one to encompass all terms used [82]. The size of the nodes and words in the network represent the nodes' weights.…”