3.2. Rates of Change in Temperature
By analyzing the spatial distribution map of annual summer temperature change, it becomes evident that there will be significant spatial differentiation in terms of land use change and trends in climate warming over the next 80 years (
Figure 5,
Figure 6 and
Figure 7). During 2021–2100, the average annual temperature showed an increasing trend under both SSP2-4.5 and SSP5-8.5 scenarios, and the increasing range increased with the increase of radiative forcing. It can be found that in the next 80 years, the regional average value of the cumulative temperature increase in the ESLZ area in summer will be 0.69 °C, with an average of 0.16 °C every 20 years. This trend of temperature change in the future summer is the same as that in the historical period. According to the statistics from the monitoring data of the China Meteorological Administration, the annual average temperature in the ESLZ has shown an upward trend in the past 20 years, with an average increase of 0.33 °C every decade. Under different SSP scenarios, the regional temperature in Chuzhou increases the fastest, with 0.44 °C, and the temperature in Hongze Lake in Huai’an increases by 0.11 °C on average every 20 years. Taizhou and Yangzhou are also the main warming areas in the future due to climate change. Although land use change is not the only cause of temperature change in historical periods, the consistency of this regional warming trend deserves attention. The areas where forests are reduced and arable land is increased are mainly located in Chuzhou, Taizhou, and Yangzhou. Compared with the entire ESLZ, the regional warming values in these areas are slightly higher, and there is little transfer of other land types in these areas, which is obviously affected by the expansion of urban agglomeration in the Yangtze River Delta. Simultaneously, the decrease in forest and grassland coverage, coupled with the expansion of arable land, particularly in Chuzhou, Taizhou, and Yangzhou, has resulted in substantial ecological land loss and a regional warming effect. Consequently, the expansion of arable land in these three cities has had a pronounced warming effect during the summer season.
There are spatial variations in land use change and its associated warming effect, characterized by higher warming effects in areas experiencing land use change and lower warming effects in areas without land use change. Statistical results indicate that the average temperature increase in the land use conversion area of the ESLZ is 0.51 °C, while the average temperature increase in the area without land use change is about 0.35 °C.
Table 4.
Regional temperature changes of different land use types in the 2030s and 2050s under the future SSPs scenario model. (Forest: FO; Grassland: GR; Arable land: AR; Water: WA; Wetland: WE; Development land: DE; Bare land: BA).
Table 4.
Regional temperature changes of different land use types in the 2030s and 2050s under the future SSPs scenario model. (Forest: FO; Grassland: GR; Arable land: AR; Water: WA; Wetland: WE; Development land: DE; Bare land: BA).
| SSP2-4.5 | SSP5-8.5 |
---|
| | ≤30 °C | 30~32 °C | 32~34 °C | ≥34 °C | ≤30 °C | 30~32 °C | 32~34 °C | ≥34 °C |
---|
| | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % |
---|
2021~2040 | FO | 1.96 | 0.84 | 231.55 | 99.16 | - | - | - | - | 0.64 | 0.71 | 89.00 | 99.29 | - | - | - | - |
GR | 60.29 | 2.80 | 2094.85 | 97.20 | - | - | - | - | 19.85 | 0.97 | 1945.92 | 94.91 | 84.51 | 4.12 | - | - |
BA | 19 | 47.41 | 21.08 | 52.59 | - | - | - | - | 20.24 | 61.59 | 11.62 | 35.36 | 1.00 | 3.05 | - | - |
AR | 24.15 | 0.06 | 41,397.59 | 99.94 | - | - | - | - | 21.00 | 0.05 | 41,551.75 | 99.94 | 5.61 | 0.01 | - | - |
WA | 501.71 | 12.59 | 3479.15 | 87.33 | 3.00 | 0.08 | - | - | 386.05 | 9.69 | 3584.72 | 89.95 | 14.57 | 0.37 | - | - |
DE | 17.44 | 0.67 | 2595.78 | 99.33 | - | - | - | - | 10.05 | 0.25 | 2371.68 | 87.46 | 330.06 | 12.17 | - | - |
2041~2060 | FO | - | - | 208.55 | 99.03 | 2.05 | 0.97 | - | - | - | - | 5.01 | 14.87 | 28.68 | 85.13 | - | - |
GR | - | - | 660.73 | 75.83 | 210.63 | 24.17 | - | - | - | - | 133.43 | 14.10 | 812.58 | 85.90 | - | - |
BA | - | - | 44.89 | 97.82 | 1.00 | 2.18 | - | - | - | - | 52.71 | 98.14 | 1.00 | 1.86 | - | - |
AR | - | - | 42,426.21 | 99.53 | 201.11 | 0.47 | - | - | - | - | 47.97 | 0.11 | 42,535.28 | 99.89 | - | - |
WA | - | - | 2963.49 | 74.60 | 1008.73 | 25.39 | - | - | - | - | 673.42 | 16.96 | 3296.95 | 83.04 | - | - |
DE | - | - | 746.62 | 27.38 | 1980.61 | 72.62 | - | - | - | - | 398.31 | 13.90 | 2467.94 | 86.10 | - | - |
Table 5.
Regional temperature changes of different land use types in the 2070s and 2090s under the future SSPs scenario model (Forest: FO; Grassland: GR; Arable land: AR; Water: WA; Wetland: WE; Development land: DE; Bare land: BA).
Table 5.
Regional temperature changes of different land use types in the 2070s and 2090s under the future SSPs scenario model (Forest: FO; Grassland: GR; Arable land: AR; Water: WA; Wetland: WE; Development land: DE; Bare land: BA).
| SSP2-4.5 | SSP5-8.5 |
---|
| | ≤30 °C | 30~32 °C | 32~34 °C | ≥34 °C | ≤30 °C | 30~32 °C | 32~34 °C | ≥34 °C |
---|
| | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % | km2 | % |
---|
2061~2080 | FO | - | - | 3.83 | 4.13 | 89.11 | 95.87 | - | - | - | - | - | - | 28.15 | 100 | - | - |
GR | - | - | 98.27 | 25.96 | 285.02 | 74.04 | - | - | - | - | - | - | 712.69 | 86.96 | 155.54 | 14.04 |
BA | - | - | 56.91 | 98.33 | 1.00 | 1.67 | - | - | - | - | - | - | 54.03 | 100 | - | - |
AR | - | - | 59.61 | 0.14 | 43,153.71 | 99.86 | - | - | - | - | - | - | 42,363.02 | 99.12 | 361.11 | 0.88 |
WA | - | - | 582.21 | 15.08 | 3367.00 | 84.92 | - | - | - | - | - | - | 2995.38 | 76.38 | 953.34 | 23.62 |
DE | - | - | 278.04 | 10.22 | 2457.53 | 89.78 | - | - | - | - | - | - | 1484.51 | 51.13 | 1442.24 | 48.87 |
2081~2100 | FO | - | - | - | - | 101.69 | 100 | - | - | - | - | - | - | - | - | 28.15 | 100 |
GR | - | - | 49.06 | 12.71 | 353.52 | 87.24 | - | - | - | - | - | - | 47.56 | 5.71 | 749.67 | 94.29 |
BA | - | - | 44.74 | 76.17 | 14.00 | 23.83 | - | - | - | - | - | - | 18.00 | 32.71 | 37.03 | 67.29 |
AR | - | - | 49.34 | 0.31 | 43,154.53 | 99.69 | - | - | - | - | - | - | 39.17 | 0.11 | 42,689.96 | 99.89 |
WA | - | - | 568.72 | 14.59 | 3399.50 | 85.41 | - | - | - | - | - | - | 491.02 | 12.85 | 3477.70 | 87.15 |
DE | - | - | 56.94 | 2.28 | 2658.76 | 97.72 | - | - | - | - | - | - | 42.19 | 1.43 | 2814.56 | 98.57 |
In this study, the spatial distribution statistics of air temperature in the 2030s, 2050s, 2070s, and 2090s show (
Table 4 and
Table 5) that the air temperature in most areas (36.35%, 37.22%, 39.77%, and 40.39%) will exceed 32.24 °C. The average temperature of the development land is 33.41 °C. In accordance with the future scenario model, the prevalence of development land and arable land plays a crucial role in contributing to higher temperatures among various land use types. Even if cities undergo limited urbanization, the greenhouse effect, global warming, and alterations in surface characteristics will remain significant factors leading to urban warming in the future.
Considering the overall trend and spatial pattern of the land use temperature effect in the ESLZ, we observed a distinct divergence in the monthly mean temperature change attributable to land use during the summer season over the next 80 years (
Table 4 and
Table 5). In general, the most significant increase in air temperature caused by land use change was the maximum and could reach 1.51 °C. Land use change in the ESLZ is mainly represented by the transformation from forest land to arable land. In summer, forests use evapotranspiration to take away heat, leading to a smaller sensible heat flux and a significant cooling effect. However, when a certain scale of forest is transformed into arable land, more bare land is exposed, resulting in a lower latent heat flux and a higher sensible heat flux, leading to an obvious warming trend in the region. Therefore, the expansion of arable land areas will cause a regional warming effect. Due to the existence of large-scale forests and the conversion of grassland to arable land in this region, the increase in summer temperatures will be more significant.
3.4. Planning Reference of the Regional and UCI Effects
The strategic placement of green space along the main wind direction of the city can enhance the ventilation effect while also bringing cooler air from the outskirts into the urban center. However, in old urban centers with limited land resources, it may be more feasible to interplant green space and increase the flexibility of the green space without taking up excessive land. The ideal arrangement of green space has a significant impact on mitigating the urban thermal environment. Where possible, large wedge-shaped green spaces should be created, and the complexity of the green space boundary should be increased. Green spaces not only improve the thermal conditions for residents in densely populated residential areas but also serve to mitigate the UHI effect by breaking up the contiguous, expansive heat island and increasing fragmentation. This fragmentation helps reduce the intensity of the UHI effect to a certain degree.
- 2.
Urban water body optimization reference
To improve the efficiency of water bodies, lakes and rivers within and outside the city should be connected, and small wetlands should be integrated. Artificial wetlands can also be added to increase connectivity. The river serves as a natural ventilation corridor for the city, but high temperatures in the surrounding environment can reduce the cooling island effect of the river. Therefore, it is imperative to implement stringent regulations regarding development intensity, building volume, height, and other related factors in the vicinity of rivers to prevent adverse impacts on the ventilation of the city. A wide green buffer zone should be reserved on both sides of the river to ensure that the cooling corridor formed by the river can have maximum impact.
- 3.
Urban blue–green space planning optimization reference
The cooling island effect of water is stronger than that of green space, and the combination of water and green space has the strongest cooling island effect. Therefore, artificial lakes, ponds, and other water landscapes can be added to urban parks or green spaces. In areas with a serious heat island effect, small artificial water bodies, pocket parks, pocket green spaces, or vertical greening should be properly planned to improve the greening rate of the city. As the Huaihe River Ecological Economic Zone has just been incorporated into the national green ecological development plan, it is appropriate to increase green spaces and lakes while protecting the existing large lakes, green spaces, and rivers in the city. Incorporating blue–green ecological corridors along urban main arteries and ring roads that align with the prevailing wind direction can enhance the ventilation of the city, disperse accumulated heat, effectively mitigate the UHI effect, and enhance urban air quality.
- ①
Huai’an blue–green space optimization reference
Combined with the positioning of urban spatial characteristics, the strategy of “taking lakes into the city” should be followed to strengthen the advantages of Hongze Lake, which is the fourth largest freshwater lake in China, in terms of landscape and ecology. The integration of the existing urban areas of the Huai’an and Hongze districts should be promoted through the ancient hydraulic Exhibition Gallery of Gaojiayan, the modern hydraulic Exhibition Gallery of the general irrigation canal in Northern Jiangsu’s Huaihe River Seaway, and the regional greenway. By integrating landscape resources and green ecological resources along the three corridors of “Gaojiayan Hydraulic Exhibition Corridor”, “Ancient Huaihe River-Yanhe Ecological Leisure Corridor” and “Grand Canal-Li Canal Cultural Tourism Corridor”, a characteristic urban blue and green space can be created, highlighting the water-dependent urban ecological pattern of Huai’an City. Additionally, the four main development axes and landscape roads of Huaihai North and South Road, Xiangyu Road, Meigao Road, and Huaihai East and West Road should be connected and integrated, forming a spatial pattern of “Water green vertical and horizontal clusters alternate”.
- ②
Yancheng blue–green space optimization reference
Fully considering the wind direction and urban layout of Yancheng City, the focus is on creating the Tongyu Canal and two green corridors of Xinyang Port, forming the outer ring expressway Greenway. At the same time, the Mangshe River, Xiaoxin River, and other rivers will have a green belt of no less than 20 m controlled, and each river will have a green belt of no less than 10 m controlled. By utilizing the existing trunk roads and rivers, a comprehensive network of interconnected greenways is established throughout the entire city. This greenway system creates urban ventilation corridors, effectively reducing the UHI effect when combined with strategically placed parks.
The ecological green ring, based on the expressway ring, connects many country parks outside the central city. The green space frame of the central city, constructed by the ecological green space along the Tongyu River and Xinyang Port, is the support of Yancheng’s “water-green city”. Along the Anaconda River, Chuanchang River, and New River on both sides, a green belt of more than 20 m will be constructed, along with more than 15 m of green belt construction along the Xiaoyang River on both sides, and a green belt of more than 10 m along other rivers on both sides.
- ③
Yangzhou blue–green space optimization reference
Based on the North–South Jianghuai ecological corridor and the East–West Yiyang River Jiajiang ecological corridor, as well as the regional ecological green space patterns of Shaobohu Lake, Beizhou ecological, and Lixia River wet areas, an urban green space system is constructed by fully integrating the urban water network pattern. This system highlights the characteristics of riverside zonal green space and connects the regional ecological green space and urban green space networks with wedge-shaped green space. The result is an urban green space system with both internal and external connections, and a reasonable layout.
The ancient canal, Chenghe River system, Grand Canal, and Mangdao River form a riverside belt green space network that connects various public green spaces. The historic city is surrounded by a green land network composed of the ancient canal, Beicheng River, Erdao River, Hao Cao River, Xinggou River, and Caohe riverside green land. The network links the main municipal and district parks of the city through the ancient canal and Mangdao River. The Shugang–Slender West Lake scenic area is connected to the Beishan ecological area across the railway and to the Yizheng hills and mountains in the west through Shugang Xifeng, a sports park, and the western district of New Town along the mountains and rivers. To the east, the Ancient Canal is linked to Phoenix Island Country Park via Zhuyu Wan Park and to the Yangtze shelterbelt to the south. It is also connected to the country park via Liao Jia Gou and Mang Dao He to the north and south, respectively, forming wedge-shaped green spaces that penetrate the central city in multiple directions. Ecological green belts that are no less than 50 m wide are arranged on both sides of the Tongyu River and Xinyang Port, and the width can be appropriately reduced within the urban built-up area according to the actual situation.
- ④
Taizhou blue–green space optimization reference
Protect the water source protection areas of Taizhou No. 3 Water Plant and Jingjiang Yaqiao Water Plant, as well as important wetlands along the river and Jiangxinzhou. Gradually relocate existing urban construction or industrial land in the area for ecological restoration. Protect the water quality and biodiversity of the wetland ecosystem and prohibit urban construction or industrial development from encroaching on wetlands. The Lixia River Ecological Function Protection and Forbidden Development Subzone includes the Yinjiang River, Xintongyang Canal, Taidong River Clear Water Channel Maintenance Area, and Lacquer Lake Important Wetland. Strengthen the protection of major rivers such as the Yangtze River, Diversion River, Taidong River, Xintongyang Canal, and Tai Canal, and improve the greening of construction on both sides of the river.
Build the Fengcheng green ring and the Yangtze River-Lead River-New Tong Yang Canal-Pioneer River green ring, which includes a lead river channel and a compound green corridor composed of the coastal protective belt. Construct the compound green corridor composed of Ningqi Railway, Kaiyang Expressway, and New Tong Yang Canal green belt, and the compound green corridor composed of Tai Town Expressway, intercity railway, River North Road, and Medicine Production and Group Green Space composed of a composite green gallery. Strengthen the greening of six main rivers, including the Nanguan River, Phoenix River, old Tong Yang Canal, Zhoushan River, water delivery river Cai Wei groove, and Xuanbao Port. Along the Yangtze River, Diversion River, New Tongyang Canal, and Tai Town Expressway, construct the peripheral ecological green space of the central city and the wetland ecological park in the north, the Taizhou Botanical Garden in the west, a lake park in the southeast, and a riverside wetland ecological park in the south.
- ⑤
Chuzhou blue–green space optimization reference
Build the Qingliu River ecological landscape belt, the Langya Mountain scenic spot ecological core, and the Minghu ecological wetland landscape core. Strengthen the separation of Western Chuxi, Eastern Chuxi, and Southern Chuxi by railway, river, and ecological green space, and connect them by ring roads and urban expressways. Increase park green spaces such as the Longxing Road green corridor and Shengtianhe green corridor, and expand urban green spaces and water areas. We will strengthen the construction and upgrading of various types of green spaces, such as Fengleting, Longchi Street, Jingyuan, Chengnan Wetland Park, Huizhou Road, and Century Avenue. We will promote the greening of the road network by removing walls to reveal green spaces and inserting green spaces in the seams. We will transform and upgrade street parks and pocket green spaces.
- 4.
Regional thermal environment simulation based on the reference scheme
To facilitate visual comparison, this section selects the hottest day from 2000 to 2020 in summer for a comparative simulation based on the WRF scheme. According to
Figure 11, the heat island effect in the central urban area of the ESLZ, based on the reference scheme, was effectively alleviated, and the maximum temperature was reduced to 36.52 °C. In Huai’an City, Yancheng City, and the northern part of Yangzhou City, the heat island effect was significantly weakened through the construction of transparent blue–green space measures, and the average maximum temperature was reduced to 35.17 °C. When green ecological corridors are added around rivers, lakes, and waterways, such as the Yangtze River, Hongze Lake, Gaoyou Lake, Shaobo Lake, Baima Lake, Dazong Lake, and Zhaojiagou Irrigation Canal in Northern Jiangsu, the area of the cooling island around them increases significantly, and the cooling island effect in the downwind direction is particularly significant. By increasing the blue–green space along the outer ring ecological corridors of Yancheng, Taizhou, and Yangzhou and introducing the cooling air generated by the cooling island effect outside the central urban area, the UHI effect at the edge of the central urban area can be effectively alleviated. Therefore, optimizing the layout of urban blue–green space plays an important role in improving the urban thermal environment.